Implementations are described herein for automatically generating multimodal geospatial workflows for accomplishing geospatial tasks. In various implementations, a natural language request may be processed based on generative model(s) such as LLM(s) to generate workflow output tokens that identify high-level actions for completing a geospatial task conveyed in the natural language request. First data indicative of the high-level actions may be processed using one or more of the generative models to generate dataset output tokens that identify responsive dataset(s) that likely contain data responsive to the geospatial task. Second data indicative of both the high-level actions and the responsive dataset(s) may be processed based on one or more of the generative models to generate data manipulation output tokens that identify data manipulation instructions for assembling data from the responsive dataset(s) into a response that fulfills the geospatial task.
G06F 16/387 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p. ex. la localisation
G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes obtaining a query comprising natural language text; obtaining a set of attributes; generating a set of intermediate answers for the query using one or more language models; for each intermediate answer in the set of intermediate answers, processing the intermediate answer using one or more scoring functions to generate a respective set of ratings; selecting a subset of intermediate answers based on the respective sets of ratings using a performance function; processing the subset of intermediate answers using the one or more language models to update the subset of intermediate answers; and determining a final answer from at least the subset of intermediate answers.
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This disclosure involves a system, non-transitory computer readable medium, and a method for determining a minimum amount of paste to be added to a concrete mix. This includes measuring a plurality of n particles, and for each particle i determining: a particle volume (I), a particle surface area (II), a particle maximum dimension (III), a spherical volume (IV) and spherical surface area (V) associated with a sphere having a diameter equal to the particle maximum dimension (III), and a residual free surface Si. Then, for the plurality of particles, a shape irregularity factor η is determined based on the residual free surface Si and the particle volume (I) for all n particles. The shape irregularity factor is used to determine a minimum amount of paste for combination with the plurality of n particles to create a workable concrete mixture, and a control signal is sent to a concrete preparation system.
B28C 7/04 - Alimentation ou dosage des ingrédients
C04B 40/00 - Procédés, en général, pour influencer ou modifier les propriétés des compositions pour mortiers, béton ou pierre artificielle, p. ex. leur aptitude à prendre ou à durcir
C04B 103/00 - Fonctions ou propriétés de l'ingrédient actif
G05B 17/02 - Systèmes impliquant l'usage de modèles ou de simulateurs desdits systèmes électriques
4.
METHODS OF PRODUCING AND RECYCLING FUNCTIONALIZED AGGLOMERATED SILICA
Disclosed herein is a functionalized granule including a plurality of fine particles and a coating, as well as systems configured to employ such functionalized granules. Also disclosed herein is a method including collecting a plurality of fine particles; and generating a plurality of functionalized granules using the plurality of fine particles, wherein an average dimension or a mean dimension of the plurality of functionalized granules is larger than an average dimension or a mean dimension of the plurality of fine particles.
B01J 20/30 - Procédés de préparation, de régénération ou de réactivation
B01D 53/04 - Séparation de gaz ou de vapeursRécupération de vapeurs de solvants volatils dans les gazÉpuration chimique ou biologique des gaz résiduaires, p. ex. gaz d'échappement des moteurs à combustion, fumées, vapeurs, gaz de combustion ou aérosols par adsorption, p. ex. chromatographie préparatoire en phase gazeuse avec adsorbants fixes
B01J 20/10 - Compositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation contenant une substance inorganique contenant de la silice ou un silicate
B01J 20/22 - Compositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation contenant une substance organique
B01J 20/28 - Compositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation caractérisées par leur forme ou leurs propriétés physiques
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes obtaining a legal query comprising natural language text; generating an initial set of responses for a first iteration of a sequence of one or more iterations for the legal query using one or more language models; at each subsequent iteration in the sequence of iterations: for each of one or more sets of responses for a preceding iteration in the sequence: for each response of the set for the preceding iteration: generating a respective set of responses for the iteration; and generating an output for the legal query using at least the initial set of responses and the respective sets of responses.
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software using artificial intelligence for monitoring, tracking, managing, facilitating, providing information, and providing predictive recommendations on procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations; Downloadable software for procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations; Downloadable software using artificial intelligence for planning, tracking, and managing budgets, suppliers, proposals, contracts, purchase orders, and payments related to procurement, sourcing, and business assets and operations; Downloadable software using artificial intelligence for task automation, data analytics and reporting related to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, and asset management, and business operations; Downloadable software using artificial intelligence to generate, edit, manage, evaluate, and summarize documents related to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including text, images, spreadsheets, presentations, briefs, proposals, and contracts; Downloadable software for automating interactions between multiple people and organizations pertaining to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including by voice, chat, fax, email, text, images, and video; Downloadable software for automating the evaluation, negotiation, and redlining of proposals, contracts, terms, pricing, delivery, purchase requisitions, purchase orders, and invoices pertaining to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including by voice, chat, fax, email, text, images, and video; Downloadable computer chatbot software for enabling conversations including by voice, chat, fax, email, text, images, and video; Downloadable chatbot software for monitoring, tracking, managing, facilitating, providing information, providing predictive recommendations, warnings, and orchestration of actions to customers pertaining to the management, disruption, and recovery of operations for procurement, sourcing, inventory, freight logistics, transportation logistics, asset management, warehouse management, and supply chain management Business consultation, management, information, administration assistance, and advisory services in the field of procurement, sourcing transportation logistics, inventory management, supply chain logistics, freight logistics, delivery tracking, product distribution, operations management, logistics, reverse logistics, supply chain, and production systems and distribution solutions; Providing business strategy and business market insights, particularly specializing in the use of analytic and statistic models for making predictive recommendations to customers of procurement and logistics; Business data analysis relating to procurement, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, and asset management; Freight logistics management; Procurement consultation, namely, analysis and redefinition of purchasing processes; Outsourcing services in the nature of arranging procurement and sourcing of goods and services for others in the field of business supplies Providing online non-downloadable software using artificial intelligence for monitoring, tracking, managing, facilitating, providing information, and providing predictive recommendations on procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations; Providing online non-downloadable software for procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations; Providing online non-downloadable software using artificial intelligence for planning, tracking, and managing budgets, suppliers, proposals, contracts, purchase orders, and payments related to procurement, sourcing, and business assets and operations; Providing online non-downloadable software using artificial intelligence for task automation, data analytics and reporting related to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, and asset management, and business operations; Providing online non-downloadable software using artificial intelligence to generate, edit, manage, evaluate, and summarize documents related to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including text, images, spreadsheets, presentations, briefs, proposals, and contracts; Providing online non-downloadable software for automating interactions between multiple people and organizations pertaining to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including by voice, chat, fax, email, text, images, and video; Providing online non-downloadable software for automating the evaluation, negotiation, and redlining of proposals, contracts, terms, pricing, delivery, purchase requisitions, purchase orders, and invoices pertaining to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including by voice, chat, fax, email, text, images, and video; Providing online non-downloadable computer chatbot software for enabling conversations including by voice, chat, fax, email, text, images, and video; Providing online non-downloadable chatbot software for monitoring, tracking, managing, facilitating, providing information, providing predictive recommendations, warnings, and orchestration of actions to customers pertaining to the management, disruption, and recovery of operations for procurement, sourcing, inventory, freight logistics, transportation logistics, asset management, warehouse management, and supply chain management; Software as a service (SAAS) services featuring software using artificial intelligence for monitoring, tracking, managing, facilitating, providing information, and providing predictive recommendations on procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations; Software as a service (SAAS) services featuring software for procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations; Software as a service (SAAS) services featuring software using artificial intelligence for planning, tracking, and managing budgets, suppliers, proposals, contracts, purchase orders, and payments related to procurement, sourcing, and business assets and operations; Software as a service (SAAS) services featuring software using artificial intelligence for task automation, data analytics and reporting related to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, and asset management, and business operations; Software as a service (SAAS) services featuring software using artificial intelligence to generate, edit, manage, evaluate, and summarize documents related to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including text, images, spreadsheets, presentations, briefs, proposals, and contracts; Software as a service (SAAS) services featuring software for automating interactions between multiple people and organizations pertaining to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including by voice, chat, fax, email, text, images, and video; Software as a service (SAAS) services featuring software for automating the evaluation, negotiation, and redlining of proposals, contracts, terms, pricing, delivery, purchase requisitions, purchase orders, and invoices pertaining to procurement, sourcing, supply chain, product design, manufacturing, warehousing, inventory, freight logistics, transportation logistics, asset management, and business operations, including by voice, chat, fax, email, text, images, and video; Software as a service (SAAS) services featuring computer chatbot software for enabling conversations including by voice, chat, fax, email, text, images, and video; Software as a service (SAAS) services featuring chatbot software for monitoring, tracking, managing, facilitating, providing information, providing predictive recommendations, warnings, and orchestration of actions to customers pertaining to the management, disruption, and recovery of operations for procurement, sourcing, inventory, freight logistics, transportation logistics, asset management, warehouse management, and supply chain management; Consulting services in the design, implementation, integration, and training in the administration and use of computer-based information systems for businesses; Consulting in the field of product design
7.
ARTIFICIAL INTELLIGENCE FOR INTERCONNECT QUEUE MANAGEMENT
H02J 3/38 - Dispositions pour l’alimentation en parallèle d’un seul réseau, par plusieurs générateurs, convertisseurs ou transformateurs
G06F 16/29 - Bases de données d’informations géographiques
G06F 30/18 - Conception de réseaux, p. ex. conception basée sur les aspects topologiques ou d’interconnexion des systèmes d’approvisionnement en eau, électricité ou gaz, de tuyauterie, de chauffage, ventilation et climatisation [CVC], ou de systèmes de câblage
G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance
Methods, systems, and apparatus, including computer programs encoded on a storage device, for assigning geographic locations to electrical model entities representing transmission lines, given geographic locations in the form of polylines that may each span multiple transmission lines and/or portions of transmission lines.
H02J 3/00 - Circuits pour réseaux principaux ou de distribution, à courant alternatif
G06F 30/18 - Conception de réseaux, p. ex. conception basée sur les aspects topologiques ou d’interconnexion des systèmes d’approvisionnement en eau, électricité ou gaz, de tuyauterie, de chauffage, ventilation et climatisation [CVC], ou de systèmes de câblage
Methods, systems, and apparatus, including medium-encoded computer program products, for generating and managing a unified grid model with multiple formats, time periods and modifications.
An inverter coupled to an electrical power grid characterizes the electrical power grid. The inverter outputs a plurality of electrical signals of different frequencies to the electrical power grid, measures responses of the electrical power grid to the plurality of electrical signals to obtain measurement data, and processes the measurement data to generate prediction data that characterizes one or more fault conditions of the electrical power grid. The inverter adjusts an operational setting of the inverter based on the prediction data. The operational setting affects a response of the electrical power grid to a fault condition.
Methods, systems, and apparatus, including medium-encoded computer program products, for planning of electrical power grids using artificial intelligence, and, in particular, using reinforcement learning (RL) for grid planning.
Methods, systems, and apparatus, including medium-encoded computer program products, for network reduction in power grid models using machine learning.
H02J 3/00 - Circuits pour réseaux principaux ou de distribution, à courant alternatif
G06F 30/18 - Conception de réseaux, p. ex. conception basée sur les aspects topologiques ou d’interconnexion des systèmes d’approvisionnement en eau, électricité ou gaz, de tuyauterie, de chauffage, ventilation et climatisation [CVC], ou de systèmes de câblage
13.
MACHINE LEARNED TRANSLATION BETWEEN DIFFERENT POWER GRID MODELS
Methods, systems, and apparatus, including medium-encoded computer program products, for using machine learning techniques to translate between different grid representations accurately and efficiently. Aspects include providing, as input to a machine learning model a first power grid model representation of a first type, wherein the machine learning model is trained to translate an input power grid model representations of an input type into a output power grid model representation of output type that is different from the input type, and the machine learning model is capable of translating a plurality of different input types into a plurality of different output types; and generating, by the machine learning model, a second power grid model representation of a second type that is different from the first type.
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
G06F 30/18 - Conception de réseaux, p. ex. conception basée sur les aspects topologiques ou d’interconnexion des systèmes d’approvisionnement en eau, électricité ou gaz, de tuyauterie, de chauffage, ventilation et climatisation [CVC], ou de systèmes de câblage
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
38 - Services de télécommunications
39 - Services de transport, emballage et entreposage; organisation de voyages
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software in the nature of a mobile application for use in connection with utilities, namely, for providing information and analyzing data on energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Downloadable software in the nature of a mobile application utilizing artificial intelligence and machine learning for use in connection with utilities services and assets, namely, for providing customers with access to utility account data and allowing customers to pay utility bills; Downloadable software for computing energy usage, savings, distribution, transmission, measurement, and forecasting; GPS navigation device; Downloadable software utilizing artificial intelligence, and machine learning for use with utilities, namely, for providing information and analyzing data on energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Downloadable software utilizing artificial intelligence and machine learning for providing contextual prediction, personalization, and predictive analytics in the field of energy usage, energy savings, energy distribution, energy transmission, and energy measurement; Downloadable software utilizing artificial intelligence and machine learning for providing intelligent data services in the nature of analyzing metrics on energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting and processing large volumes of data in the field of energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Downloadable simulation software for modeling, planning, designing, operating, and optimizing utilities services, utilities assets, energy grids, renewable energy grids, energy distribution, energy transmission, energy measurements, and also for energy forecasting; Downloadable application programming interface (API) software; Downloadable software development kits (SDK); Cameras; multiple purpose cameras; video cameras; optical sensors; proximity sensors; telecommunications transmitters; downloadable computer software development tools Consulting services in the fields of renewable energy, energy usage management, and energy savings in the nature of energy efficiency; business consulting services in the field of energy measurement to improve energy efficiency within residential, commercial, industrial, and institutional facilities; Energy usage management; Providing information in the fields of energy usage management, energy savings in the nature of energy efficiency, and energy measurement to improve energy efficiency Telecommunications services, namely, personal communication services; audio and video interactive broadcasting and webcasting services over the Internet and telecommunications networks; communication services, namely, transmission of voice, audio, and data by telecommunications networks, wireless communication networks, the Internet, information services networks and data networks; providing an online forum for users or applications to share and transmit information and electronic media concerning utilities services and related assets Providing information in the fields of energy distribution and transmission of electricity; Vehicle routing by computer on data networks; Travel route planning; consulting services in the field of energy distribution Research, design and development of computer hardware and software; Computer services, namely, operating computer systems and computer networks featuring energy transmission, distribution, and management software for public utilities and others; Providing on-line non-downloadable software for computing energy usage, savings, distribution, transmission, measurement, and forecasting; Providing on-line non-downloadable software utilizing artificial intelligence and machine learning for use in connection with utilities services and assets, namely, for providing customers with access to utility account data and allowing customers to pay utility bills; Providing on-line non-downloadable software for use with utilities, namely, for providing information and analyzing data on energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Providing temporary use of online non-downloadable simulation software for modeling, planning, designing, operating, and optimizing utilities services, utilities assets, energy grids, renewable energy grids, energy distribution, energy transmission, energy measurements, and energy forecasting; Providing temporary use of online non-downloadable software utilizing artificial intelligence and machine learning for use with public utilities for providing information in the field of energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Providing temporary use of online non-downloadable software utilizing artificial intelligence and machine learning for providing contextual prediction, personalization, and predictive analytics in the field of energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Providing temporary use of online non-downloadable software utilizing artificial intelligence and machine learning for providing intelligent data services in the nature of analyzing metrics on energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting and processing large volumes of data in the field of energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Platform as a service (PAAS) featuring computer software platforms for use with utilities, namely, for providing information and analyzing data on energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Research and development of computer software; Consulting services in the fields of energy measurement to improve energy efficiency
15.
PRIVACY-PRESERVING CONFIGURATION OF LOCATION-SPECIFIC ELECTRICAL LOAD MODELS
Methods, systems, and apparatus, including medium-encoded computer program products, for configuring location-specific electrical load models while preserving privacy. A first machine learning model configured to predict electrical load curves of an electrical utility grid can be obtained from a server. Load values associated with a particular region of the electrical utility grid can be obtained. The load values can be applied as calibration input to the first machine learning model to produce first adjustment parameters for the first machine learning model. The first adjustment parameters can be provided to the server.
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
G05B 13/04 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a timeline. One of the methods includes obtaining a plurality of documents; generating, for each document, a corresponding annotated document; generating, for each corresponding annotated document, an embedded annotated document; generating, for each document, a corresponding timeline for the document; and generating a combined timeline over the plurality of documents by merging each of the corresponding timelines based on at least the embedded annotated document for one or more of the documents.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterizing a particulate ingredient of a mixture including a hopper configured to dispense particles along an axis and in freefall through an imaging region, an illumination sub-system including at least one light source arranged at a first location with respect to the axis and configured to illuminate the imaging region, an image capture sub-system including at least one image capture device including a telecentric lens and arranged at a second location with respect to the axis and configured to align a focal plane of the at least one image capture device with the axis within the imaging region, such that when a particle freefalls through the imaging region, the particle is illuminated by the illumination sub-system and the image capture sub-system captures images of at least three silhouettes of the particle within the imaging region.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for in-process adjustment to crushing systems. A method includes obtaining pre-crush particle data indicating characteristics of a portion of particles before crushing the portion of particles with a crushing system; obtaining settings data indicating one or more settings of the crushing system; obtaining post-crush particle data indicating characteristics of the portion of particles after crushing the portion of particles; and training a prediction model using the pre-crush particle data, the settings data, and the post-crush particle data, comprising: processing, using the prediction model, the pre-crush particle data and the settings data to obtain a corresponding output including predicted characteristics of the portion of particles after crushing the portion of particles with the crushing system; and adjusting parameters of the prediction model based on comparing the output of the prediction model to the post-crush particle data.
B02C 25/00 - Systèmes de commande spécialement adaptés au broyage ou à la désagrégation
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
G05B 13/04 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques impliquant l'usage de modèles ou de simulateurs
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for developing electrical grid mapping. One of the methods includes obtaining a computer model of an electric power grid; generating a network graph representation of the computer model, wherein nodes of the network graph represent grid assets of the computer model and edges of the network graph represent wires connecting the grid assets; generating an initial prediction of links between nodes in the network graph by adding at least one edge to the network graph to obtain an over-connected graph; applying the over-connected network graph as input to a machine learning model to obtain an annotated network graph, the machine learning model configured to identify edges as positive links and negative links, and apply annotations to the edges indicating whether each edge is a positive or negative link; and updating the model based on the annotated network graph.
G06F 30/18 - Conception de réseaux, p. ex. conception basée sur les aspects topologiques ou d’interconnexion des systèmes d’approvisionnement en eau, électricité ou gaz, de tuyauterie, de chauffage, ventilation et climatisation [CVC], ou de systèmes de câblage
G01R 31/08 - Localisation de défauts dans les câbles, les lignes de transmission ou les réseaux
Implementations are described herein for aggregating information responsive to a query from multiple different data feed services using machine learning. In various implementations, NLP may be performed on a natural language input comprising a query for information to generate a data feed-agnostic aggregator embedding (FAAE). A plurality of data feed services may be selected, each having its own data feed service action space that includes actions that are performable to access data via the data feed service. The FAAE may be processed based on domain-specific machine learning models corresponding to the selected data feed services. Each domain-specific machine learning model may translate between a respective data feed service action space and a data feed-agnostic semantic embedding space. Using these models, action(s) may be selected from the data feed service action spaces and performed to aggregate, from the plurality of data feed services, data that is responsive to the query.
Methods, systems, and apparatus for obtaining input features representative of a region of space, processing an input comprising the input features through the ML model to generate a prediction describing predicted features of the region of space, obtaining result features describing the region of space, determining a value of at least one evaluation metric that relates the predicted features and the result features, that at least one evaluation metric including one of a distance score, a pyramiding density error, and min-max intersection over union (IOU) score, and training the ML model responsive to the at least one evaluation metric. Other implementations of this aspect include corresponding systems, apparatus, and computer programs, configured to perform the actions of the methods, encoded on computer storage devices.
Disclosed herein are systems and methods for training a neural network generating seismic training data comprising at least three sets of training data: a first set that comprises training data that represents a simulated seismic event, and at least two second sets, each second set comprising training data of sensor values, each second set of sensor values corresponding to distinct simulated seismic observation systems, and each seismic value of each second set comprises an associated arrival time value; introducing a time offset to each arrival time value of each second set of seismic values to generate modified seismic training data; generating a plurality of graphs, each graph based on one set of training data from the first set of training data and the at least two sets of sensor values; and training the neural network using the plurality of graphs as input.
Disclosed implementations relate to using mutual constraint satisfaction to sample from different stochastic processes and identify coherent inferences across domains. In some implementations, a first domain representation of a semantic concept may be used to conditionally sample a first set of candidate second domain representations of the semantic concept from a first stochastic process. Based on second domain representation(s) of the first set, candidate third domain representations of the semantic concept may be conditionally sampled from a second stochastic process. Based on candidate third domain representation(s), a second set of candidate second domain representations of the semantic concept may be conditionally sampled from a third stochastic process. Pairs of candidate second domain representations sampled across the first and second sets may be evaluated. Based on the evaluation, second domain representation(s) of the semantic concept are selected, e.g., as input for a downstream computer process.
A system may include a set of data integration facilities for integrating content of at least one publication data set relating to the biological strain and at least one proprietary data set including a set of parameters of a synthetic biological process in which the biological strain produces a functional output, wherein the output of data integration facilities is configured as an input to a set of artificial intelligence (AI)-based learning models. The system may include at least one member of the set of AI-based learning models that is configured to generate a set of recommendations wherein the set of recommendations relates to modifications to a set of genes of the biological strain such that the set of recommendations enhance production of the functional output by the biological strain.
G16B 20/00 - TIC spécialement adaptées à la génomique ou protéomique fonctionnelle, p. ex. corrélations génotype-phénotype
G16B 5/00 - TIC spécialement adaptées à la modélisation ou aux simulations dans la biologie des systèmes, p. ex. réseaux de régulation génétique, réseaux d’interaction entre protéines ou réseaux métaboliques
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
Enhanced systems, media and techniques that include the actions of applying a health monitoring device to a surface of a tissue of interest, the health monitoring device includes a microneedle array including a plurality of microneedles, where the plurality of microneedles includes functionalized microspheres. The techniques also includes collecting, by one or more microneedles of the plurality of microneedles, fluid corresponding to the tissue of interest, where collecting the fluid includes: facilitating, by one or more fluidic channels within the one or more microneedles, flow of the fluid from the tissue of interest to a sensing layer including a plurality of biomarker sensors.
A61B 5/145 - Mesure des caractéristiques du sang in vivo, p. ex. de la concentration des gaz dans le sang ou de la valeur du pH du sang
A61B 5/157 - Dispositifs de prélèvement d'échantillons de sang caractérisés par des moyens intégrés pour mesurer des caractéristiques du sang
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 10/00 - Instruments pour le prélèvement d'échantillons corporels à des fins de diagnostic Autres procédés ou instruments pour le diagnostic, p. ex. pour le diagnostic de vaccination ou la détermination du sexe ou de la période d'ovulationInstruments pour gratter la gorge
A61M 37/00 - Autres appareils pour introduire des agents dans le corpsPercutanisation, c.-à-d. introduction de médicaments dans le corps par diffusion à travers la peau
26.
MEMBRANELESS SYSTEMS FOR INORGANIC WASTE RECYCLING
The present disclosure relates to methods and systems for extracting non-alkali metal content from inorganic solid waste using membraneless regenerative electrochemical processes.
C25B 9/30 - Cellules ou assemblages de cellules comprenant des électrodes mobiles, p. ex. des électrodes rotativesAssemblages de leurs éléments de structure
C25B 9/70 - Assemblages comprenant plusieurs cellules
C25B 11/051 - Électrodes comportant des électro-catalyseurs sur un substrat ou un support
C25B 11/091 - Électrodes comportant des électro-catalyseurs sur un substrat ou un support caractérisées par le matériau électro-catalytique formé d’au moins un élément catalytique et d’au moins un composé catalytiqueÉlectrodes comportant des électro-catalyseurs sur un substrat ou un support caractérisées par le matériau électro-catalytique formé de plusieurs éléments catalytiques ou composés catalytiques
C25B 15/08 - Alimentation ou vidange des réactifs ou des électrolytesRégénération des électrolytes
C22B 7/00 - Mise en œuvre de matériaux autres que des minerais, p. ex. des rognures, pour produire des métaux non ferreux ou leurs composés
H01M 10/54 - Récupération des parties utiles des accumulateurs usagés
27.
GRAPH NEURAL NETWORKS TO IMPROVE GROUND-BASED MONITORING
Disclosed herein are systems and methods for training a neural network generating seismic training data comprising at least three sets of training data: a first set that comprises training data that represents a simulated seismic event, and at least two second sets, each second set comprising training data of sensor values, each second set of sensor values corresponding to distinct simulated seismic observation systems, and each seismic value of each second set comprises an associated arrival time value; introducing a time offset to each arrival time value of each second set of seismic values to generate modified seismic training data; generating a plurality of graphs, each graph based on one set of training data from the first set of training data and the at least two sets of sensor values; and training the neural network using the plurality of graphs as input.
G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
28.
PLATFORMS, SYSTEMS, AND METHODS FOR TRAINING MACHINE LEARNING MODELS WITH SPECIALIZED DATA
According to one aspect, there is provided a computer-implemented method for training artificial intelligence models with specialized biologic data in an AI-guided analytic platform for development of a biologic synthesis process, comprising: collecting multimodal biologic data including at least one of a gene expression level, mRNA, metabolic reaction fluxes, or intracellular metabolite concentrations from biologic systems; processing the collected biologic data through data normalization and quality assurance steps to create model-ready data; and generating at least one output predicting an effect of genetic modification on a metabolite level or a reaction flux.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
C12M 1/00 - Appareillage pour l'enzymologie ou la microbiologie
C12M 1/32 - Inoculateur ou échantillonneur du type à champs multiples ou en continu
C12M 1/34 - Mesure ou test par des moyens de mesure ou de détection des conditions du milieu, p. ex. par des compteurs de colonies
C12M 1/36 - Appareillage pour l'enzymologie ou la microbiologie comportant une commande sensible au temps ou aux conditions du milieu, p. ex. fermenteurs commandés automatiquement
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
A method may select at least two objectives of the product. The method may select a parent of the product. The method may determine the product based on an evaluation of the at least two objectives for a set of variants of the parent.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
C12M 1/00 - Appareillage pour l'enzymologie ou la microbiologie
C12M 1/32 - Inoculateur ou échantillonneur du type à champs multiples ou en continu
C12M 1/34 - Mesure ou test par des moyens de mesure ou de détection des conditions du milieu, p. ex. par des compteurs de colonies
C12M 1/36 - Appareillage pour l'enzymologie ou la microbiologie comportant une commande sensible au temps ou aux conditions du milieu, p. ex. fermenteurs commandés automatiquement
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying characteristics of electric grid assets are disclosed. A method includes obtaining a plurality of images, each image depicting at least one utility pole of an electric grid; detecting, in each of the plurality of images, keypoints of the at least one utility pole depicted in the image; determining, using the keypoints from at least two images of a particular utility pole, at least one measurement of the particular utility pole; determining, using the measurement of the particular utility pole, an electrical characteristic of an asset supported by the particular utility pole; and providing the electrical characteristic as an output. The two or more images include images of the particular utility pole captured from multiple different camera perspectives. The asset can include a capacitor, a transformer, a switch, a power line.
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 20/00 - ScènesÉléments spécifiques à la scène
31.
PLATFORMS, SYSTEMS, AND METHODS FOR SCALE-UP SYSTEMS WITH ARTIFICIAL INTELLIGENCE GUIDED OPERATION MODIFICATIONS
According to one aspect, there is provided a computer-implemented system for evaluating and improving strain production using three integrated components: a prototype system for evaluating candidate strains, an optimization system for enhancing strain performance, and a scale-up system for adapting laboratory results to commercial-scale parameters. The system employs artificial intelligence models trained on data from all three components. The system continuously receives performance data from these systems to update its AI models. Using these updated models, the system generates modified operational parameters for the prototype, optimization, and scale-up systems, creating a feedback loop for continuous process improvement.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
C12M 1/00 - Appareillage pour l'enzymologie ou la microbiologie
C12M 1/32 - Inoculateur ou échantillonneur du type à champs multiples ou en continu
C12M 1/34 - Mesure ou test par des moyens de mesure ou de détection des conditions du milieu, p. ex. par des compteurs de colonies
C12M 1/36 - Appareillage pour l'enzymologie ou la microbiologie comportant une commande sensible au temps ou aux conditions du milieu, p. ex. fermenteurs commandés automatiquement
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
A system may include a plurality of sensors configured to measure fermentation parameters. The system may include a control system operatively coupled to the fermentation chamber and the plurality of sensors, the control system comprising: at least one processor; memory storing instructions that, when executed by the at least one processor, cause the control system to: receive sensor data from the plurality of sensors; process the sensor data using a set of AI-based learning models to determine a set of improved fermentation parameters; generate control signals based on the determined set of improved fermentation parameters; and adjust operating conditions of the fermentation chamber based on the control signals.
A system may receive data from a plurality of sources. The system may perform a data quality assurance on the received data to identify at least one anomalous data point. The system may apply a Bayesian statistical normalization model to the data to: model a batch-specific systemic variation, account for a technical factor contributing to a batch effect, separate a signal from the technical factor; and generate normalized data. The system may output the normalized data for processing by a machine learning model.
A method may collect raw data on strain performance. The method may normalize the data using a probabilistic approach to generate normalized strain performance data. The method may represent strains as probability distributions over possible performance levels, wherein the probability distributions capture both a point estimate of the strain performance and uncertainty around the estimate. The method may define a hit based on the probability distributions by determining the strains having a specified probability of outperforming a parent strain by a predetermined margin. The method may identify a promising strain for further investigation based on the defined hit.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
C12M 1/00 - Appareillage pour l'enzymologie ou la microbiologie
C12M 1/32 - Inoculateur ou échantillonneur du type à champs multiples ou en continu
C12M 1/34 - Mesure ou test par des moyens de mesure ou de détection des conditions du milieu, p. ex. par des compteurs de colonies
C12M 1/36 - Appareillage pour l'enzymologie ou la microbiologie comportant une commande sensible au temps ou aux conditions du milieu, p. ex. fermenteurs commandés automatiquement
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
A system may include data integration facilities for integrating content of publication data sets relating to strains and proprietary data sets including parameters of a process in which the strain produces functional outputs, wherein integrated data is input to machine learning models. The machine learning models generate recommendations relating to modifications of the strain.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
C12M 1/00 - Appareillage pour l'enzymologie ou la microbiologie
C12M 1/32 - Inoculateur ou échantillonneur du type à champs multiples ou en continu
C12M 1/34 - Mesure ou test par des moyens de mesure ou de détection des conditions du milieu, p. ex. par des compteurs de colonies
C12M 1/36 - Appareillage pour l'enzymologie ou la microbiologie comportant une commande sensible au temps ou aux conditions du milieu, p. ex. fermenteurs commandés automatiquement
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
A computer-implemented method executed by one or more processors includes receiving interconnection data for a proposed interconnection to a power grid; accessing a power grid model including a topological representation of the power grid, electrical specifications of grid components, and empirical operation characteristics; and generating, using the interconnection data for the proposed interconnection to the power grid, and the power grid model, simulated power grid data. The simulated power grid data is based on simulating operation of the power grid with the proposed interconnection coupled to a location of the power grid identified by the interconnection data during a simulated time period. The simulated power grid data includes a plurality of different temporal and spatially dependent characteristics of the power grid. The method includes evaluating, using one or more metrics, the simulated power grid data; and outputting evaluation results of the one or more metrics.
A computer-implemented method executed by one or more processors includes receiving interconnection data for a proposed interconnection to a power grid; accessing a power grid model including a topological representation of the power grid, electrical specifications of grid components, and empirical operation characteristics; and generating, using the interconnection data for the proposed interconnection to the power grid, and the power grid model, simulated power grid data. The simulated power grid data is based on simulating operation of the power grid with the proposed interconnection coupled to a location of the power grid identified by the interconnection data during a simulated time period. The simulated power grid data includes a plurality of different temporal and spatially dependent characteristics of the power grid. The method includes evaluating, using one or more metrics, the simulated power grid data; and outputting evaluation results of the one or more metrics.
A system may include one or more processors and memory storing instructions that, when executed by the one or more processors, cause a platform to: identify an appropriate analytic method based on an assessment of a data characteristic, implement a data preparation procedure specific to a particular application, apply a machine learning model to analyze data and generate a prediction, perform a model validation procedure to ensure analytical reliability, create an audit trail documenting an analytic procedure and result; and generate technical documentation and visualization of an analytic finding.
Implementations are described herein for querying proprietary data using generative model(s). In various implementations, a first input prompt may be assembled to include a query for generative model(s). The first input prompt may be processed using generative model(s) to generate reference model output. Proprietary data source(s) may be identified for use in prompting generative model(s), and a second input prompt may be assembled to include the query and proprietary data from one or more of the proprietary data sources. The second input prompt may be processed using generative model(s) to generate at least partially exogenous model output based at least in part on the proprietary data. The reference and at least partially exogenous model outputs may then be compared to determine information gain score(s) associated with the proprietary data source(s). These information gain scores may be used for various purposes.
According to one aspect, there is provided an AI-based platform which may include an experiment data set including records that respectively represent an experiment. Each record may indicate at least one hypothesis associated with the experiment and an experiment definition based on the at least one hypothesis. An AI-based agent may be configured to perform an evaluation of respective records of each experiment, and generate, based on the evaluation, at least one observation about the at least one hypothesis associated with the experiment represented by each of the respective records.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optimizing energy efficiency for ore smelting in blast furnaces. One of the methods is a pelletization process control method that includes obtaining images of pelletized particles; determining one or more characteristics of the pelletized particles; in response to determining that at least one or more of the characteristics is outside of a pelletization parameter, determining an adjustment to a control parameter of the pelletization system; and sending one or more signals to adjust the control parameter of the pelletization system. Another method is an iron ore smelting method that includes determining quantities of reactants to be added to the blast furnace with the pelletized particles in the stream of pelletized particles; and sending one or more signals that cause the controller to add the reactants of to the blast furnace according to the determined quantities.
A system may include a data collection facility that collects strain data including biological information for multiple biological strain candidates and receives assay data from experiments. A prototype prediction system generates initial fitness predictions using first AI models trained on historical performance data and identifies an initial strain candidate subset. A scale-up prediction system receives assay data for the initial candidates, analyzes this data using second AI models to generate scale-up performance predictions for bioreactor production conditions, and selects strain candidates for production based on these predictions.
G16B 5/00 - TIC spécialement adaptées à la modélisation ou aux simulations dans la biologie des systèmes, p. ex. réseaux de régulation génétique, réseaux d’interaction entre protéines ou réseaux métaboliques
A system may select a first feature and a second feature of the biologic product. The system may determine a first biologic parent having the first feature and not having the second feature, wherein the first feature is based on an aspect of the first biologic parent. The system may determine a second biologic parent having the second feature and not having the first feature, wherein the second feature is based on an aspect of the first biologic parent, and the aspect of the second biologic parent can be combined with the aspect of the first biologic parent. The system may determine a biologic product having the first feature and the second feature, wherein the biologic product is determined based on an evaluation of a set of combinations of the aspect of the first biologic parent and the aspect of the second biologic parent.
G16B 20/00 - TIC spécialement adaptées à la génomique ou protéomique fonctionnelle, p. ex. corrélations génotype-phénotype
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
44.
PLATFORMS, SYSTEMS, AND METHODS FOR PERFORMANCE PREDICTION USING MACHINE LEARNING MODELS
A method performed by one or more computers may comprise: receiving information about an entity; generating a set of representations based on the information about the entity; generating a set of edits of the entity based on the set of representations; and generating a performance prediction for each edit of the set of edits of the entity based on a pre-trained generalization machine learning model applied to each edit of the set of edits.
A machine learning system configured to: generate viability predictions by analyzing predicted performance and process conditions using one or more machine learning models; and prioritize development of entities based on the predicted performance and the viability predictions.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
46.
PLATFORMS, SYSTEMS, AND METHODS FOR MULTI-OBJECTIVE ANALYSIS
According to one aspect, there is provided a method performed by one or more computers of generating a product of a synthesis process, comprising: selecting a parent of the product; identifying at least two objectives of the product, wherein each objective of the at least two objectives is based on a techno-economic analysis of the synthesis process; and determining a variant of the product based on the techno-economic analysis of the synthesis process.
G16B 5/00 - TIC spécialement adaptées à la modélisation ou aux simulations dans la biologie des systèmes, p. ex. réseaux de régulation génétique, réseaux d’interaction entre protéines ou réseaux métaboliques
G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché
Methods, systems, and apparatus, including medium-encoded computer program products, for processing data representing a graph through each of a plurality of layers of a graph neural network to generate an output. The plurality of layers include a graph recursive convolutional layer.
A method may receive experimental data from a plurality of experiments. The method may detect a systematic variation between the experiments that is not related to a factor of interest. The method may apply a data normalization technique to minimize batch-specific systemic variation while preserving underlying signals. The method may generate probability distributions representing experimental outcomes to provide a summary of uncertainty. The method may use a machine learning model to identify and correct batch effects directly from the data without requiring explicit modeling of all possible sources of variation. The method may output normalized data with reduced batch effects.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
49.
PLATFORMS, SYSTEMS, AND METHODS FOR AUTOMATED OMICS
A system receives data from analytical and mass spectrometry instruments, including measurement data from control and test samples. Computing hardware extracts peak lists comprising test and control peak lists from the received data and compresses them using a compression algorithm. The system provides mass-to-charge ratios and retention times associated with peaks from compressed peak lists to AI-based learning models trained to identify metabolites. The computing hardware identifies metabolites associated with the peaks and calculates corresponding peak areas. For each identified metabolite, the system generates a calibration curve based on calculated areas from compressed control peak lists and known concentrations. The system then calculates concentrations for identified metabolites from compressed test peak lists using these calibration curves, and generates a compilation of results.
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software for use in connection with utilities,
namely, for providing information and analyzing data on
energy usage, renewable energy, energy savings, energy
distribution, energy transmission, energy measurement,
inter-connection of energy assets, utilities assets,
utilities repairs, route optimization, data optimization,
customer service, energy finance, and energy forecasting;
downloadable software utilizing artificial intelligence and
machine learning for use in connection with utilities
services and assets, namely, for providing customers with
access to utility account data and for providing
information, contextual prediction, personalization,
predictive analytics, and analyzing data and metrics on
energy usage, inter-connection of energy assets, renewable
energy, energy savings, energy distribution, energy
transmission, energy measurement, utilities assets,
utilities repairs, route optimization, data optimization,
customer service, energy finance, and energy forecasting;
downloadable software for computing energy usage, savings,
distribution, transmission, measurement, and forecasting;
downloadable simulation software for modeling, planning,
designing, operating, and optimizing utilities services,
utilities assets, energy grids, energy inter-connections,
renewable energy grids, energy distribution, energy
transmission, energy measurements, and also for energy
forecasting; downloadable application programming interface
(API) software; downloadable software development kits
(SDK). Business consulting services in the fields of electrical
grids, energy usage, renewable energy, inter-connection of
energy assets, energy usage management, and energy savings;
business consulting services in the field of energy
measurement to improve energy efficiency within residential,
commercial, industrial and institutional facilities;
providing business information in the fields of energy usage
management, electrical grids, inter-connection of energy
assets, energy savings in the nature of energy efficiency,
and energy measurement. Research, design and development of computer hardware and
software; computer services, namely, operating computer
systems and computer networks featuring energy transmission,
distribution, and management software for public utilities
and others for energy usage, renewable energy, energy
savings, energy distribution, energy transmission, energy
measurement, inter-connection of energy assets, utilities
assets, utilities repairs, route optimization, data
optimization, customer service, energy finance, and energy
forecasting; providing on-line non-downloadable software for
computing energy usage, savings, distribution, transmission,
measurement, and forecasting; providing on-line
non-downloadable software utilizing artificial intelligence,
and machine learning for use in connection with utilities
services and assets, namely, for providing customers with
access to utility account data and allowing customers to pay
utility bills and for providing information, contextual
prediction, personalization, predictive analytics, and
analyzing data and metrics on energy usage, inter-connection
of energy assets, renewable energy, energy savings, energy
distribution, energy transmission, energy measurement,
utilities assets, utilities repairs, route optimization,
data optimization, customer service, energy finance, and
energy forecasting; providing online non-downloadable
simulation software for modeling, planning, designing,
operating, and optimizing utilities services, utilities
assets, energy grids, energy inter-connections, renewable
energy grids, energy distribution, energy transmission,
energy measurements, and also for energy forecasting;
research and development of computer software; consulting
services in the fields of energy measurement to improve
energy efficiency; energy usage management.
51.
PLATFORMS, SYSTEMS, AND METHODS FOR GENETIC GENERALIZATION EXPRESSION LANGUAGES
A system may receive information about a biologic product, wherein the information includes a description of at least a portion of the biologic product in an expression language. The system may generate a set of edits of the biologic product based on the description the at least a portion of the biologic product in the expression language. The system may generate a performance prediction for each edit of the set of edits of the biologic product based on a pre-trained genetic generalization model applied to each edit of the set of edits.
G16B 5/00 - TIC spécialement adaptées à la modélisation ou aux simulations dans la biologie des systèmes, p. ex. réseaux de régulation génétique, réseaux d’interaction entre protéines ou réseaux métaboliques
G16B 25/10 - Profilage de l’expression de gènes ou de protéinesEstimation ou normalisation de ratio d’expression
Aspects of the disclosure relate to identifying potential areas of innovations utilizing machine learning models such as LLMs. As an example, a plurality of application areas and a plurality of sources may be identified. A model may be used to score pairs of each one of the plurality of application areas with respect to each one the plurality of sources. A matrix of the scores may be generated and provided for display to a user.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for characterization of aggregate particles. A method includes obtaining, from a set of low fidelity sensors, first sensor data of a first portion of particles; obtaining, from a set of high fidelity sensors, second sensor data of the first portion of particles, the second sensor data comprising a higher fidelity representation of characteristics of the first portion of particles than the first sensor data; training a characterization model using the first sensor data and the second sensor data, the training comprising: providing, as training data to the characterization model, the second sensor data; and processing the second sensor data with the characterization model to correlate the first sensor data with the second sensor data. The first sensor data can indicate shape characteristics of each particle; and the second sensor data indicates a surface area of each particle.
Platforms, systems, and methods for rapid fermenter sampling. According to one aspect, there is provided A rapid sampling system for obtaining samples from a fermentation system, comprising: a sample inlet fluidly connected to the fermentation system; a pump fluidly connected to the sample inlet and configured to draw a sample from the fermentation system; a first valve fluidly connected to an outlet of the pump; a second valve fluidly connected to a liquid nitrogen chamber; a multi-well filter plate, wherein an individual well of the multi-well filter plate is configured to collect and filter the sample; a motorized base operatively connected to the multi-well filter plate configured to adjust a position of the multi-well filter plate; and a control unit including one or more processors and one or more memories operatively connected to the pump, the first valve, the second valve, and the motorized base.
C12M 1/32 - Inoculateur ou échantillonneur du type à champs multiples ou en continu
C12M 1/34 - Mesure ou test par des moyens de mesure ou de détection des conditions du milieu, p. ex. par des compteurs de colonies
C12M 1/36 - Appareillage pour l'enzymologie ou la microbiologie comportant une commande sensible au temps ou aux conditions du milieu, p. ex. fermenteurs commandés automatiquement
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché
G16B 5/00 - TIC spécialement adaptées à la modélisation ou aux simulations dans la biologie des systèmes, p. ex. réseaux de régulation génétique, réseaux d’interaction entre protéines ou réseaux métaboliques
G16B 20/00 - TIC spécialement adaptées à la génomique ou protéomique fonctionnelle, p. ex. corrélations génotype-phénotype
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
This disclosure describes forecasting required power output for a plurality of thermal generators. Including training a Time-series Dense Encoder (TiDE) model on a corpus of historical weather data for a particular geographic region, the trained TiDE model forecasts weather for the geographic region. Training a machine learning model on historical power output and weather data for a particular wind farm within the geographic region, wherein the trained machine learning model predicts the power output out of the wind farm for a given weather condition. Forecasting, using the TiDE model, the weather in the geographic region. Predicting the power output of the wind farm by providing the forecasted weather to the machine learning model. Forecasting a required power output for a plurality of thermal generators based on the predicted power output of the wind farm by calculating the output of a fixed effects ordinary least squares (OLS) regression model.
Methods, systems, and apparatus for receiving a request for a risk assessment for a parcel, receiving a set of images for the parcel, the set of images including two or more images, each image having an image scale and an image resolution that is different from other images in the set of images, providing a first-level feature embedding and a second-level feature embedding, the first-level feature embedding being provided by processing a first-level image through a first-level machine learning (ML) model, and the second-level feature embedding being provided by processing a second-level image through a second-level ML model, determining a risk assessment at least partially by processing each of the first-level feature embedding and a second-level feature embedding through a fusion network, and providing a representation of the risk assessment for display.
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 20/00 - ScènesÉléments spécifiques à la scène
57.
SPECTRAL FUSION PLATFORM TO IDENTIFY ETHYLENE VINYL ALCOHOL (EVOH) AND FACILITATE FEEDSTOCK SORTING
The present disclosure relates to techniques including real-time prediction of a presence and/or an amount of Ethylene Vinyl Alcohol (EVOH) based on one or more hyperspectral images of an object or feedstock being processed in real-time (e.g., in a recycling workflow). The feedstock includes e.g., one or more EVOH-free and EVOH-based items, potentially comprising EVOH as a barrier layer. In some aspects, the disclosed techniques include accessing the one or more hyperspectral images associated with a three-dimensional space comprising one spectral dimension and two spatial dimensions acquired via one or more hyperspectral sensors. At least part of the feedstock may be processed via an EVOH detection model predicting a presence of EVOH and an EVOH quantification model to predict a variable corresponding to the amount of EVOH. Based on the predicted variable, the feedstock being automatically moved and processed as part of a recycling handling process, may be routed.
B07C 5/342 - Tri en fonction d'autres propriétés particulières selon les propriétés optiques, p. ex. la couleur
B29B 17/02 - Séparation de matières plastiques des autres matières
G01N 21/31 - CouleurPropriétés spectrales, c.-à-d. comparaison de l'effet du matériau sur la lumière pour plusieurs longueurs d'ondes ou plusieurs bandes de longueurs d'ondes différentes en recherchant l'effet relatif du matériau pour les longueurs d'ondes caractéristiques d'éléments ou de molécules spécifiques, p. ex. spectrométrie d'absorption atomique
G01N 21/84 - Systèmes spécialement adaptés à des applications particulières
Platforms, systems, and methods for model-in-the-loop synthetic biology. According to one aspect, there is provided an AI-based platform, comprising: an experiment data set defining a synthetic biology experiment based on a model of a biologic process; and an AI-based agent configured to, generate an experiment definition for the synthetic biology experiment based on the model of the biologic process, cause the synthetic biology experiment to be performed based on the experiment definition, perform an evaluation of at least one outcome of the synthetic biology experiment, and update the model of the biologic process based on the evaluation.
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining segments from a sequence of text. One of the methods includes obtaining data representing a sequence of text; dividing the sequence of text into a plurality of sentence fragments; determining split scores comprising determining a split score for each of a plurality of pairs of sentence fragments formed from the plurality of sentence fragments; assigning one or more split positions based on the split scores; and combining the plurality of sentence fragments back into at least two segments, with a boundary of at least one of the at least two segments being identified by one of the one or more split positions, and wherein each segment comprises one or more sentence fragments.
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for automatic generation of building design specifications. Building design data for a plurality of buildings is obtained as building design artificial intelligence model training data. The building design artificial intelligence model training data is enhanced to include building performance specification data corresponding to obtained building design data. An artificial intelligence model is trained using the building design artificial intelligence model training data to generate building design specifications based on building performance specifications. Building performance specifications for a building project are received and provided to the artificial intelligence model that is trained to generate building design specifications based on building performance specifications. The artificial intelligence model generates building designs for the building project that satisfy the building performance specifications. The building designs for the building project are provided for evaluation and construction of the building project.
G06F 30/13 - Conception architecturale, p. ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
61.
PLATFORMS, SYSTEMS, AND METHODS FOR AUTOMATED OMICS FOR GENERALIZATION USING SPECTRAL DATABASES IN SYNTHETIC BIOLOGY DEVELOPMENT
Platforms, systems, and methods for automated omics for generalization using spectral databases in synthetic biology development. According to one aspect, there is provided a system for converting raw data from an analytical and mass spectrometry instrument to model-ready data, comprising: computing hardware configured to: receive data from the analytical and mass spectrometry instrument, wherein the data includes measurement data from a set of control samples and a set of test samples; extract a set of peak lists comprising a set of test peak lists and a set of control peak lists from the received data; compress the extracted peak lists using a compression algorithm; identify a set of metabolites that correspond to a set of peaks from the compressed peak lists by comparing a set of mass-to-charge ratios and a set of retention times associated with the set of peaks with the mass-to-charge ratios.
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for generation of computer-executable code for automated zoning compliance. Zoning, building, planning, and other regulations for a jurisdiction are provided to a trained artificial intelligence model which provides computer-executable code that is configured, when executed, to provide output that indicates whether an input candidate building plan complies with the regulations for the jurisdiction. The computer-executable code generated by the trained artificial intelligence model is deployed in an application. The application receives, in a request, a candidate building plan. The application generates and provides a compliance report for the candidate building plan that includes compliance results for the candidate building plan with respect to the regulations for the jurisdiction.
G06F 30/13 - Conception architecturale, p. ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
63.
TRANSFORMER-DRIVEN DIFFERENTIABLE IMAGE RASTERIZATION FOR GENERATING VECTOR GRAPHICS
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for transformer-driven differentiable image rasterization for generating vector graphics. An example method includes identifying a differentiable image rasterization library that includes a set of mathematically differentiable shape operations for creating a raster image. A set of image embeddings is received for an input image from an image encoder. The set of image embeddings and a prompt are provided to a transformer model. The prompt prompts the transformer model to generate transformer embeddings and map the transformer embeddings to input parameters of shape operations of the library. Mappings received from the transformer are provided to the library. A reconstructed image is received from the library that is generated from invoking shape operations of the library in accordance with the mappings. The reconstructed image is compared to the input image to generate reconstruction error data for training the transformer model.
Platforms, systems, and methods for multi-objective optimization and comparative analysis for synthetic biology development. According to one aspect, there is provided an AI-guided analytic platform for development of biologic synthesis processes, comprising: a multi-objective optimization system for performing multi-objective optimizations of the biologic synthesis processes; at least one multi-objective evaluation artificial intelligence model configured to evaluate a biologic product according to each of at least two objectives; and at least one variant evaluation module configured to: generate a set of variants of a biologic parent of the biologic product, and evaluate each variant of the set of variants of the biologic parent using the at least one multi-objective evaluation artificial intelligence model.
A photonic grating coupler includes at least one waveguide port and a multi-layer material stack. The multi-layer material stack includes a first mixed material layer forming an upper inverse design region in which an upper grating pattern is disposed and a second mixed material layer disposed below the first mixed material layer. The second mixed material layer forms a lower inverse design region in which a lower grating pattern is disposed. The first and second waveguide ports physically abut to and extend from the second mix material layer and the upper and lower grating patterns are structured to collectively couple an optical signal incident on the photonic grating coupler from above the first mixed material layer into the at least one waveguide port.
Platforms, systems, and methods for multi-objective optimization and comparative analysis for synthetic biology development. According to one aspect, there is provided a method of generating a biologic product of a biologic synthesis process, comprising: selecting a first biologic parent having a first feature; selecting a second biologic parent having a second feature; and selecting the biologic product based on an evaluation of a set of combinations of the first biologic parent and the second biologic parent.
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
67.
META-LEARNING FOR DETECTING OBJECT ANOMALY FROM IMAGES
Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for training a classification neural network. The system generates, from a set of object-specific data, one or more meta-learning datasets for one or more respective initial training tasks. The system determines values for a set of meta parameters by performing meta-learning with a classification neural network on the one or more meta-learning datasets. The system obtains a set of labeled training examples for a characteristic-detection task. The system determines based at least on one of the values for the set of meta parameters and using the set of labeled training examples, target values for the network parameters for the classification neural network to perform the characteristic-detection task.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
68.
PLATFORMS, SYSTEMS, AND METHODS FOR PATHWAY OPTIMIZATION FOR PROCESS BOTTLENECKS IN SYNTHETIC BIOLOGY DEVELOPMENT
Platforms, systems, and methods for pathway optimization for process bottlenecks in synthetic biology development. According to one aspect, there is provided a method of optimizing a biologic synthesis process, comprising: identifying at least one bottleneck in the biologic synthesis process; evaluating a set of variants of the biologic synthesis process; and selecting an adjusted biologic synthesis process, wherein the adjusted biologic synthesis process includes at least one variant of the set of variants that reduces the at least one bottleneck of the biologic synthesis process.
Provided herein are method of recycling metallic ion content from inorganic solid and systems thereof. The methods and systems include contacting inorganic solid with an acid to produce said concrete precursors.
B09B 3/70 - Traitement chimique, p. ex. ajustement du pH ou oxydation
B09B 3/80 - Destruction de déchets solides ou transformation de déchets solides en quelque chose d'utile ou d'inoffensif impliquant une étape d'extraction
C22B 3/04 - Extraction de composés métalliques par voie humide à partir de minerais ou de concentrés par lixiviation
C22B 3/06 - Extraction de composés métalliques par voie humide à partir de minerais ou de concentrés par lixiviation dans des solutions inorganiques acides
C22B 3/22 - Traitement ou purification de solutions, p. ex. de solutions obtenues par lixiviation par des procédés physiques, p. ex. par filtration, par des moyens magnétiques
C22B 3/44 - Traitement ou purification de solutions, p. ex. de solutions obtenues par lixiviation par des procédés chimiques
C22B 7/00 - Mise en œuvre de matériaux autres que des minerais, p. ex. des rognures, pour produire des métaux non ferreux ou leurs composés
C25B 1/34 - Production simultanée d'hydroxydes des métaux alcalins et de chlore, de ses oxyacides ou de ses sels, p. ex. électrolyse chlore-alcali
C25B 1/46 - Production simultanée d'hydroxydes des métaux alcalins et de chlore, de ses oxyacides ou de ses sels, p. ex. électrolyse chlore-alcali dans des cellules à diaphragmes
C25B 9/17 - Cellules comprenant des électrodes fixes de dimensions stablesAssemblages de leurs éléments de structure
C25B 9/19 - Cellules comprenant des électrodes fixes de dimensions stablesAssemblages de leurs éléments de structure avec des diaphragmes
C25B 9/21 - Cellules comprenant des électrodes fixes de dimensions stablesAssemblages de leurs éléments de structure avec des diaphragmes avec plusieurs diaphragmes
C25B 9/23 - Cellules comprenant des électrodes fixes de dimensions stablesAssemblages de leurs éléments de structure avec des diaphragmes comprenant des membranes échangeuses d'ions dans ou sur lesquelles est incrusté du matériau pour électrode
C25B 15/08 - Alimentation ou vidange des réactifs ou des électrolytesRégénération des électrolytes
C25C 1/02 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions des métaux légers
C25C 1/06 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions des métaux du groupe du fer, de métaux réfractaires ou du manganèse
C25C 1/08 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions des métaux du groupe du fer, de métaux réfractaires ou du manganèse du nickel ou du cobalt
C25C 1/10 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions des métaux du groupe du fer, de métaux réfractaires ou du manganèse du chrome ou du manganèse
C25C 1/12 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions du cuivre
C25C 1/14 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions de l'étain
C25C 1/16 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions du zinc, du cadmium ou du mercure
C25C 1/18 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions du plomb
C25C 1/20 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions des métaux nobles
C25C 1/22 - Production, récupération ou affinage électrolytique des métaux par électrolyse de solutions des métaux non prévus dans les groupes
H01M 6/52 - Récupération des parties utiles des éléments ou batteries usagés
H01M 10/54 - Récupération des parties utiles des accumulateurs usagés
B01D 61/48 - Appareils à cet effet ayant un ou plusieurs compartiments remplis d'un matériau échangeur d'ions
Platforms, systems, and methods for genetic generalization in synthetic biology development. According to one aspect, there is provided a method for predicting performance associated with genetic edits, the method comprising: receiving, by a platform, information about a strain of a microorganism, wherein the information about the strain comprises information describing a plurality of genetic edits to a base strain of the microorganism; generating, by the platform, a set of genetic embeddings based on the information about the strain, wherein the generating comprises processing the information about the strain using one or more embedding models, wherein each of the one or more embedding models: receives the information about the strain of the microorganism as input; and applies computational transformations to the input using a corresponding embedding model to generate a multi-dimensional vector representation for each of the plurality of genetic edits.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining segments from a sequence of text. One of the methods includes obtaining data representing a sequence of text; dividing the sequence of text into a plurality of sentence fragments; determining classification scores comprising determining a classification score using a machine learning model for each of a plurality of pairs of sentence fragments formed from the plurality of sentence fragments; assigning one or more split positions based on the classification scores; and combining the plurality of sentence fragments back into at least two segments, with a boundary of at least one of the at least two segments being identified by one of the one or more split positions, and wherein each segment comprises one or more sentence fragments.
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable and recorded computer software for research,
modeling, data collection, data ingestion, data storage, and
simulations in the fields of biology, synthetic biology,
pharmaceutical preparations, biotechnology, living systems,
renewable materials, chemicals, organisms, and bioprocesses.
73.
DETECTING SURREPTITIOUS SPEECH USING MACHINE LEARNING MODELS
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting surreptitious speech. One of the methods includes obtaining data representing a sequence of text; obtaining a sequence of tokens for the sequence of text comprising one or more groups of tokens, wherein each group comprises two or more tokens; processing the one or more groups of tokens using a first machine learning model to identify tokens that are out of context in the sequence of tokens; and providing data representing the identified tokens.
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable AI software for assisting in real estate
development, building construction, and architectural
design, generating pre-development building designs,
securing permitting and capital allocation for real estate
projects, real estate marketing, identifying building
locations and nature of real estate projects, and providing
operative construction drawings; downloadable AI software
for analyzing and compiling real estate, construction, and
architectural data, generating and enhancing models, and
generating text, images, audiovisual material, and document
in response to prompts; downloadable software utilizing
artificial intelligence for use in providing information and
predictive recommendations on real estate development,
building construction, and architectural design;
downloadable computer chatbot software for simulating
conversations; downloadable computer chatbot software for
assisting in real estate development, building construction,
and architectural design, generating pre-development
building designs, securing permitting and capital allocation
for real estate projects, real estate marketing, identifying
building locations and nature of real estate projects, and
providing operative construction drawings. Business advisory and information services in the fields of
architecture, real estate, interior design and urban
planning design; providing business planning and marketing
solutions for real estate professionals; real estate
marketing analysis; real estate sales management; business
research and data analysis services in the field of in the
fields of architecture, interior design and urban planning
design; business consulting services in the fields of
architecture, real estate, interior design and urban
planning design; data processing services in the fields of
architecture, real estate, interior design and urban
planning design; analyzing and compiling business data in
the fields of architecture, real estate, interior design and
urban planning design; compiling and analyzing statistics,
data and other sources of information for business purposes
in the fields of architecture, real estate, interior design
and urban planning design. Providing online non-downloadable software for assisting in
real estate development, building construction, and
architectural design, generating pre-development building
designs, securing permitting and capital allocation for real
estate projects, real estate marketing, identifying building
locations and nature of real estate projects, and providing
operative construction drawings; Software as a Service
(SaaS) services featuring software for assisting in real
estate development, building construction, and architectural
design, generating pre-development building designs,
securing permitting and capital allocation for real estate
projects, real estate marketing, identifying building
locations and nature of real estate projects, and providing
operative construction drawings; providing online
non-downloadable AI software for analyzing and compiling
real estate, construction, and architectural data,
generating and enhancing models, and generating text,
images, audiovisual material, and document in response to
prompts; Software as a Service (SaaS) services featuring AI
software for analyzing and compiling real estate,
construction, and architectural data, generating and
enhancing models, and generating text, images, audiovisual
material, and document in response to prompts; providing
online non-downloadable software utilizing artificial
intelligence for use in providing information and predictive
recommendations on real estate development, building
construction, and architectural design; Software as a
Service (SaaS) services featuring software utilizing
artificial intelligence for use in providing information and
predictive recommendations on real estate development,
building construction, and architectural design; providing
online non-downloadable computer chatbot software for
simulating conversations; providing online non-downloadable
computer chatbot software for assisting in real estate
development, building construction, and architectural
design, generating pre-development building designs,
securing permitting and capital allocation for real estate
projects, real estate marketing, identifying building
locations and nature of real estate projects, and providing
operative construction drawings; architectural services;
residential and commercial building design.
Techniques for generating a subsurface image include analyzing a region to be sensed to determine a plurality of reflector locations; and performing a survey. Performing the survey includes irradiating a plurality of reflectors positioned in the plurality of determined reflector locations with coherent electromagnetic energy; identifying one or more vibrations of the plurality of reflectors based on reflected electromagnetic energy from the plurality of reflectors; and generating survey data associated with the identified vibrations for at least one reflector of the plurality of reflectors. The techniques include providing the survey data as input to a machine learning algorithm; and generating, using the machine learning algorithm, a subsurface image associated with the region to be sensed.
G01H 9/00 - Mesure des vibrations mécaniques ou des ondes ultrasonores, sonores ou infrasonores en utilisant des moyens sensibles aux radiations, p. ex. des moyens optiques
G01V 1/00 - SéismologieProspection ou détection sismique ou acoustique
G01V 1/22 - Transmission des signaux sismiques aux appareils d'enregistrement ou de traitement
G01V 1/28 - Traitement des données sismiques, p. ex. pour l’interprétation ou pour la détection d’événements
77.
PERFORMING FACT CHECKING USING MACHINE LEARNING MODELS
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes receiving a trigger from a user; responsive to the trigger, obtaining text data representing one or more subwords to be processed; obtaining data representing a plurality of clusters, wherein each cluster comprises one or more documents of a plurality of documents; processing the text data to identify one or more clusters of the plurality of clusters that are relevant to the text data; for each of the one or more identified clusters: identifying one or more documents of the identified cluster that are relevant to the text data; identifying one or more documents that contradict the text data of the one or more identified documents that are relevant to the text data; and providing data representing the one or more identified documents that contradict the text data.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detecting surreptitious speech. One of the methods includes obtaining data representing a sequence of text; obtaining a sequence of tokens for the sequence of text comprising one or more groups of tokens, wherein each group comprises two or more tokens; processing the one or more groups of tokens using a first machine learning model to identify tokens that are out of context in the sequence of tokens; and providing data representing the identified tokens.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes receiving a trigger from a user; responsive to the trigger, obtaining text data representing one or more subwords to be processed; obtaining data representing a plurality of clusters, wherein each cluster comprises one or more documents of a plurality of documents; processing the text data to identify one or more clusters of the plurality of clusters that are relevant to the text data; for each of the one or more identified clusters: identifying one or more documents of the identified cluster that are relevant to the text data; identifying one or more documents that contradict the text data of the one or more identified documents that are relevant to the text data; and providing data representing the one or more identified documents that contradict the text data.
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
(1) Downloadable software for use in connection with utilities, namely, for providing information and analyzing data on energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, inter-connection of energy assets, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; downloadable software utilizing artificial intelligence and machine learning for use in connection with utilities services and assets, namely, for providing customers with access to utility account data and for providing information, contextual prediction, personalization, predictive analytics, and analyzing data and metrics on energy usage, inter-connection of energy assets, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; downloadable software for computing energy usage, savings, distribution, transmission, measurement, and forecasting; downloadable simulation software for modeling, planning, designing, operating, and optimizing utilities services, utilities assets, energy grids, energy inter-connections, renewable energy grids, energy distribution, energy transmission, energy measurements, and also for energy forecasting; downloadable application programming interface (API) software; downloadable software development kits (SDK). (1) Business consulting services in the fields of electrical grids, energy usage, renewable energy, inter-connection of energy assets, energy usage management, and energy savings; business consulting services in the field of energy measurement to improve energy efficiency within residential, commercial, industrial and institutional facilities; providing business information in the fields of energy usage management, electrical grids, inter-connection of energy assets, energy savings in the nature of energy efficiency, and energy measurement.
(2) Research, design and development of computer hardware and software; computer services, namely, operating computer systems and computer networks featuring energy transmission, distribution, and management software for public utilities and others for energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, inter-connection of energy assets, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; providing on-line non-downloadable software for computing energy usage, savings, distribution, transmission, measurement, and forecasting; providing on-line non-downloadable software utilizing artificial intelligence, and machine learning for use in connection with utilities services and assets, namely, for providing customers with access to utility account data and allowing customers to pay utility bills and for providing information, contextual prediction, personalization, predictive analytics, and analyzing data and metrics on energy usage, inter-connection of energy assets, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; providing online non-downloadable simulation software for modeling, planning, designing, operating, and optimizing utilities services, utilities assets, energy grids, energy inter-connections, renewable energy grids, energy distribution, energy transmission, energy measurements, and also for energy forecasting; research and development of computer software; consulting services in the fields of energy measurement to improve energy efficiency; energy usage management.
Methods, systems, and apparatus for receiving an image file recording an image and a set of metadata, determining a search space based on one or more of at least a portion of the set of metadata and auxiliary data, generating a set of candidate images based on the search space, identifying a candidate image in the set of candidate images as a best matching image relative to the image, the candidate image being associated with a set of candidate metadata, providing a set of augmented metadata for the image based on the set of metadata and the set of candidate metadata, the set of augmented metadata including at least a portion of the set of candidate metadata, and outputting a geographic features file that is generated using the set of augmented metadata, the geographic features file including data representing one or more geographic features represented in the image file.
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software for use in connection with utilities, namely, for providing information and analyzing data on energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, inter-connection of energy assets, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Downloadable software utilizing artificial intelligence and machine learning for use in connection with utilities services and assets, namely, for providing customers with access to utility account data and for providing information, contextual prediction, personalization, predictive analytics, and analyzing data and metrics on energy usage, inter-connection of energy assets, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Downloadable software for computing energy usage, savings, distribution, transmission, measurement, and forecasting; Downloadable simulation software for modeling, planning, designing, operating, and optimizing utilities services, utilities assets, energy grids, energy inter-connections, renewable energy grids, energy distribution, energy transmission, energy measurements, and also for energy forecasting; Downloadable application programming interface (API) software for use in the field of utilities, utilities assets, electrical grids, energy, and renewable energy; Downloadable software development kits (SDK) for use in the field of utilities, utilities assets, electrical grids, energy, and renewable energy Consulting services in the fields of energy usage management and energy efficiency as it relates to electrical grids, energy usage, renewable energy, inter-connection of energy assets, and energy savings; Consulting services in the fields of energy consumption and usage conservation to improve energy efficiency; Business consulting services in the field of energy; Providing economic consultation in the field of energy; Business consulting services in the field of energy measurement to improve energy efficiency within residential, commercial, industrial and institutional facilities; Energy usage management; Providing information in the fields of energy usage management and energy efficiency as it relates to electrical grids, energy usage, renewable energy, inter-connection of energy assets, and energy savings Technological planning and consulting services in the field of renewable energy resources; Research, design and development of computer hardware and software for use in the fields of energy usage management and energy efficiency as it relates to electrical grids, energy usage, renewable energy, inter-connection of energy assets, and energy savings; Computer services, namely, operating computer systems and computer networks featuring energy transmission, distribution, and management software for public utilities and others for energy usage, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, inter-connection of energy assets, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Providing on-line non-downloadable software for computing energy usage, savings, distribution, transmission, measurement, and forecasting; Providing on-line non-downloadable software utilizing artificial intelligence, and machine learning for use in connection with utilities services and assets, namely, for providing customers with access to utility account data and allowing customers to pay utility bills and for providing information, contextual prediction, personalization, predictive analytics, and analyzing data and metrics on energy usage, inter-connection of energy assets, renewable energy, energy savings, energy distribution, energy transmission, energy measurement, utilities assets, utilities repairs, route optimization, data optimization, customer service, energy finance, and energy forecasting; Providing online non-downloadable simulation software for modeling, planning, designing, operating, and optimizing utilities services, utilities assets, energy grids, energy inter-connections, renewable energy grids, energy distribution, energy transmission, energy measurements, and also for energy forecasting; Research and development of computer software for use in the fields of energy usage management and energy efficiency as it relates to electrical grids, energy usage, renewable energy, inter-connection of energy assets, and energy savings; Consulting services in the fields of energy measurement to improve energy efficiency
09 - Appareils et instruments scientifiques et électriques
Produits et services
(1) Downloadable and recorded computer software for research, modeling, data collection, data ingestion, data storage, and simulations in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses.
84.
SOLVENT-BASED PROCESSES FOR FUNCTIONALIZED MATERIALS
Methods of producing functionalized materials are provided. Porous particles are introduced to a functionalization mixture including a volatile solvent. The functionalization mixture includes an adsorbing moiety including polyethylenimine, an interaction moiety including a silane moiety, a polymer, a crosslinking agent, a chelating agent, or an antioxidant. Porous particles are characterized by a porosity distribution between 100 and 200 nanometers and a diameter distribution between 0.8 and 3 millimeters. Functionalized particles are created through deposition of the functionalization mixture on a surface of a porous particle to form a surface modification layer. Compositions and functionalized materials are also provided.
B01J 20/28 - Compositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation caractérisées par leur forme ou leurs propriétés physiques
Methods and systems for using multiple hyperspectral cameras sensitive to different wavelengths to predict characteristics of objects for further processing, including recycling, are described. The multiple hyperspectral images can be used to predict higher resolution spectra by using a trained machine learning model. The higher resolution spectra may be more easily analyzed to sort plastics into a recyclability category. The hyperspectral images may also be used to identify and analyze dark or black plastics, which are challenging for SWIR, MWIR, and other wavelengths. The machine learning model may also predict the base polymers and contaminants of plastic objects for recycling. The hyperspectral images may be used to predict recyclability and other characteristics using a trained machine learning model.
G01J 3/40 - Mesure de l'intensité des raies spectrales par détermination de la densité d'une photographie du spectreSpectrographie
G06V 10/56 - Extraction de caractéristiques d’images ou de vidéos relative à la couleur
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for improved image segmentation using hyperspectral imaging. In some implementations, a system obtains image data of a hyperspectral image, the image data comprising image data for each of multiple wavelength bands. The system accesses stored segmentation profile data for a particular object type that indicates a predetermined subset of the wavelength bands designated for segmenting different region types for images of an object of the particular object type. The system segments the image data into multiple regions using the predetermined subset of the wavelength bands specified in the stored segmentation profile data to segment the different region types. The system provides output data indicating the multiple regions and the respective region types of the multiple regions.
G06V 10/26 - Segmentation de formes dans le champ d’imageDécoupage ou fusion d’éléments d’image visant à établir la région de motif, p. ex. techniques de regroupementDétection d’occlusion
87.
FUNCTIONALISED MATERIALS FOR CARBON DIOXIDE SORPTION
Methods of producing functionalized materials are provided. Porous particles are introduced to a functionalization mixture including a volatile solvent. The functionalization mixture includes an adsorbing moiety including polyethylenimine, an interaction moiety including a silane moiety, a polymer, a crosslinking agent, a chelating agent, or an antioxidant. Porous particles are characterized by a porosity distribution between 100 and 200 nanometers and a diameter distribution between 0.8 and 3 millimeters. Functionalized particles are created through deposition of the functionalization mixture on a surface of a porous particle to form a surface modification layer. Compositions and functionalized materials are also provided.
B01J 20/10 - Compositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation contenant une substance inorganique contenant de la silice ou un silicate
B01J 20/28 - Compositions absorbantes ou adsorbantes solides ou compositions facilitant la filtrationAbsorbants ou adsorbants pour la chromatographieProcédés pour leur préparation, régénération ou réactivation caractérisées par leur forme ou leurs propriétés physiques
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for template-based building design optimization for building projects. Constraints for a building project are identified. Building design templates that meet the constraints are identified in a design template library. Building design options for the building project are automatically determined, based on identified building design templates. The building design options for the building project are evaluated based on building performance metrics. Selected building design options are selected based on evaluated building design options. A building plan is automatically generated for the building project that includes building designs that include selected building design options.
G06F 30/13 - Conception architecturale, p. ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Research and development of new products; providing
information on product research and product development via
a website; providing information in the fields of technology
and product design and development; providing technological
information on the use of technology to solve international
problems via a website; design and testing for new product
development; scientific and technological research and
development services; research and development in the field
of computer software and hardware; research and development
in the field of software and technology using artificial
intelligence and machine learning; development of new
technology for others in the field of artificial
intelligence and machine learning; development of new
technology for others in the field of environmental
sustainability, software automation, supply chain logistics,
communications and Internet access, utility access and
monitoring, and bioengineering.
90.
SUBTERRANEAN PARAMETER SENSING SYSTEMS AND METHODS
A carbon dioxide (CO2) sequestration sensor system includes an underground sub-assembly including one or more sensors configured to detect at least one attribute associated with CO2 sequestration below a terranean surface; and an above-ground sub-assembly positionable on the terranean surface proximate the underground sub-assembly and including at least one controller communicably coupled to the one or more sensors.
G01N 33/00 - Recherche ou analyse des matériaux par des méthodes spécifiques non couvertes par les groupes
E21B 41/00 - Matériel ou accessoires non couverts par les groupes
E21B 47/117 - Détection de fuites, p. ex. du tubage, par test de pression
E21B 47/12 - Moyens pour la transmission de signaux de mesure ou signaux de commande du puits vers la surface, ou de la surface vers le puits, p. ex. pour la diagraphie pendant le forage
G01V 1/18 - Éléments récepteurs, p. ex. sismomètre, géophone
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating data items. One of the methods includes obtaining a conditioning input that characterizes a target seismic data item; and processing the conditioning input that characterizes the target seismic data item using a diffusion model that comprises a denoising neural network to generate the target seismic data item.
G01V 1/36 - Exécution de corrections statiques ou dynamiques sur des enregistrements, p. ex. correction de l'étalementÉtablissement d'une corrélation entre signaux sismiquesÉlimination des effets produits par un excès d'énergie
G06N 3/084 - Rétropropagation, p. ex. suivant l’algorithme du gradient
09 - Appareils et instruments scientifiques et électriques
Produits et services
Downloadable and recorded computer software for research, data collection, data ingestion, and data storage in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; downloadable and recorded computer simulation software using artificial intelligence (AI), machine learning, deep learning, and mechanistic and hybrid modeling for research, data collection, data ingestion, and data storage in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses
Methods, systems, and apparatus are disclosed for electrical power grid visualization. A computer-implemented method includes: obtaining power grid data including different temporal and spatially dependent characteristics of a power grid, the characteristics including a first characteristic, a second characteristic, and a third characteristic; and generating a graphical user interface (GUI) representing a visualization of the power grid data. The GUI includes a line-diagram representation of power lines in the power grid overlaid on a map of a geographic region in which the power grid is located, the line-diagram including a plurality of line segments, wherein attributes of each line segment represent the power grid data at a particular spatial location of the power grid. The attributes include a time-changing thickness of the line segment representing the first characteristic; a plurality of time-changing directional arrows on the line segment representing the second characteristic; and a color shading representing the third characteristic.
H02J 13/00 - Circuits pour pourvoir à l'indication à distance des conditions d'un réseau, p. ex. un enregistrement instantané des conditions d'ouverture ou de fermeture de chaque sectionneur du réseauCircuits pour pourvoir à la commande à distance des moyens de commutation dans un réseau de distribution d'énergie, p. ex. mise en ou hors circuit de consommateurs de courant par l'utilisation de signaux d'impulsion codés transmis par le réseau
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training kinetic models on experimental data of biochemical pathways. In one aspect, a method comprises: receiving chemical reaction data for a biochemical pathway; automatically generating data defining a kinetic model of the biochemical pathway based on the chemical reaction data; obtaining experimental data for the biochemical pathway; training the kinetic model on the experimental data using a numerical optimization technique to optimize an objective function that measures a discrepancy between: (i) simulated data characterizing the biochemical pathway that is generated using the kinetic model, and (ii) the experimental data characterizing the biochemical pathway; and outputting the kinetic model of the biochemical pathway after training the set of kinetic model parameters.
G16C 20/10 - Analyse ou conception des réactions, des synthèses ou des procédés chimiques
G16B 5/00 - TIC spécialement adaptées à la modélisation ou aux simulations dans la biologie des systèmes, p. ex. réseaux de régulation génétique, réseaux d’interaction entre protéines ou réseaux métaboliques
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
(1) Downloadable AI software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings; downloadable AI software for analyzing and compiling real estate, construction, and architectural data, generating and enhancing models, and generating text, images, audiovisual material, and document in response to prompts; downloadable software utilizing artificial intelligence for use in providing information and predictive recommendations on real estate development, building construction, and architectural design; downloadable computer chatbot software for simulating conversations; downloadable computer chatbot software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings. (1) Business advisory and information services in the fields of architecture, real estate, interior design and urban planning design; providing business planning and marketing solutions for real estate professionals; real estate marketing analysis; real estate sales management; business research and data analysis services in the field of in the fields of architecture, interior design and urban planning design; business consulting services in the fields of architecture, real estate, interior design and urban planning design; data processing services in the fields of architecture, real estate, interior design and urban planning design; analyzing and compiling business data in the fields of architecture, real estate, interior design and urban planning design; compiling and analyzing statistics, data and other sources of information for business purposes in the fields of architecture, real estate, interior design and urban planning design.
(2) Providing online non-downloadable software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings; Software as a Service (SaaS) services featuring software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings; providing online non-downloadable AI software for analyzing and compiling real estate, construction, and architectural data, generating and enhancing models, and generating text, images, audiovisual material, and document in response to prompts; Software as a Service (SaaS) services featuring AI software for analyzing and compiling real estate, construction, and architectural data, generating and enhancing models, and generating text, images, audiovisual material, and document in response to prompts; providing online non-downloadable software utilizing artificial intelligence for use in providing information and predictive recommendations on real estate development, building construction, and architectural design; Software as a Service (SaaS) services featuring software utilizing artificial intelligence for use in providing information and predictive recommendations on real estate development, building construction, and architectural design; providing online non-downloadable computer chatbot software for simulating conversations; providing online non-downloadable computer chatbot software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings; architectural services; residential and commercial building design.
96.
AUTOMATING SEMANTICALLY-RELATED COMPUTING TASKS ACROSS CONTEXTS
Disclosed implementations relate to automating semantically-similar computing tasks across multiple contexts. In various implementations, an initial natural language input and a first plurality of actions performed using a first computer application may be used to generate a first task embedding and a first action embedding in action embedding space. An association between the first task embedding and first action embedding may be stored. Later, subsequent natural language input may be used to generate a second task embedding that is then matched to the first task embedding. Based on the stored association, the first action embedding may be identified and processed using a selected domain model to select actions to be performed using a second computer application. The selected domain model may be trained to translate between an action space of the second computer application and the action embedding space.
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
G06F 3/0482 - Interaction avec des listes d’éléments sélectionnables, p. ex. des menus
G06F 40/35 - Représentation du discours ou du dialogue
G06F 40/40 - Traitement ou traduction du langage naturel
G06F 40/58 - Utilisation de traduction automatisée, p. ex. pour recherches multilingues, pour fournir aux dispositifs clients une traduction effectuée par le serveur ou pour la traduction en temps réel
97.
AUTOMATED KINETIC MODEL GENERATION FOR BIOCHEMICAL PATHWAYS
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training kinetic models on experimental data of biochemical pathways. In one aspect, a method comprises: receiving chemical reaction data for a biochemical pathway; automatically generating data defining a kinetic model of the biochemical pathway based on the chemical reaction data; obtaining experimental data for the biochemical pathway; training the kinetic model on the experimental data using a numerical optimization technique to optimize an objective function that measures a discrepancy between: (i) simulated data characterizing the biochemical pathway that is generated using the kinetic model, and (ii) the experimental data characterizing the biochemical pathway; and outputting the kinetic model of the biochemical pathway after training the set of kinetic model parameters.
G16B 5/00 - TIC spécialement adaptées à la modélisation ou aux simulations dans la biologie des systèmes, p. ex. réseaux de régulation génétique, réseaux d’interaction entre protéines ou réseaux métaboliques
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
Computer-implemented methods may include accessing a multi-dimensional embedding space that supports relating embeddings of molecules to predicted values of a given property of the molecules. The method may also include identifying one or more points of interest within the embedding space based on the predicted values. Each of the one or more points of interest may include a set of coordinate values within the multi-dimensional embedding space and may be associated with a corresponding predicted value of the given property. The method may further include generating, for each of the one or more points of interest, a structural representation of a molecule by transforming the set of coordinate values included in the point of interest using a decoder network. The method may include outputting a result that identifies, for each of the one or more points of interest, the structural representation of the molecule corresponding to the point of interest.
C08J 11/16 - Récupération ou traitement des résidus des polymères par coupure des chaînes moléculaires des polymères ou rupture des liaisons de réticulation par voie chimique, p. ex. dévulcanisation par traitement avec une substance inorganique
C08J 11/10 - Récupération ou traitement des résidus des polymères par coupure des chaînes moléculaires des polymères ou rupture des liaisons de réticulation par voie chimique, p. ex. dévulcanisation
G16C 10/00 - Chimie théorique computationnelle, c.-à-d. TIC spécialement adaptées aux aspects théoriques de la chimie quantique, de la mécanique moléculaire, de la dynamique moléculaire ou similaires
G16C 20/10 - Analyse ou conception des réactions, des synthèses ou des procédés chimiques
G16C 20/20 - Identification d’entités moléculaires, de leurs parties ou de compositions chimiques
G16C 20/40 - Recherche de structures chimiques ou de données physicochimiques
G16C 20/70 - Apprentissage automatique, exploration de données ou chimiométrie
G16C 60/00 - Science informatique des matériaux, c.-à-d. TIC spécialement adaptées à la recherche des propriétés physiques ou chimiques de matériaux ou de phénomènes associés à leur conception, synthèse, traitement, caractérisation ou utilisation
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable computer software using artificial intelligence (AI) for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings; Downloadable computer software using artificial intelligence (AI) for analyzing and compiling real estate, construction, and architectural data, generating and enhancing models, and generating text, images, audiovisual material, and document in response to prompts, all in the fields of real estate, building construction, and architecture; Downloadable computer software using artificial intelligence (AI) for providing information and predictive recommendations on real estate development, building construction, and architectural design; Downloadable computer chatbot software for simulating conversations; Downloadable computer chatbot software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings Business advisory and information services in the fields of architecture, real estate, interior design and urban planning design; Providing business planning and marketing solutions for real estate professionals; Real estate marketing analysis; Real estate sales management; Business research and data analysis services in the fields of architecture, interior design, and urban planning design; Business consulting services in the fields of architecture, real estate, interior design and urban planning design; Data processing services in the fields of architecture, real estate, interior design and urban planning design; Analyzing and compiling business data in the fields of architecture, real estate, interior design and urban planning design; Compiling and analyzing statistics, data and other sources of information for business purposes in the fields of architecture, real estate, interior design and urban planning design Providing online non-downloadable software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings; Software as a Service (SaaS) services featuring software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings; Providing online non-downloadable software using artificial intelligence (AI) for analyzing and compiling real estate, construction, and architectural data, generating and enhancing models, and generating text, images, audiovisual material, and document in response to prompts, all in the fields of real estate, building construction, and architecture; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for analyzing and compiling real estate, construction, and architectural data, generating and enhancing models, and generating text, images, audiovisual material, and document in response to prompts, all in the fields of real estate, building construction, and architecture; Providing online non-downloadable software using artificial intelligence (AI) for providing information and predictive recommendations on real estate development, building construction, and architectural design; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for providing information and predictive recommendations on real estate development, building construction, and architectural design; Providing online non-downloadable computer chatbot software for simulating conversations; Providing online non-downloadable computer chatbot software for assisting in real estate development, building construction, and architectural design, generating pre-development building designs, securing permitting and capital allocation for real estate projects, real estate marketing, identifying building locations and nature of real estate projects, and providing operative construction drawings; Architectural services; Residential and commercial building design
Disclosed herein are systems and methods for objectively characterizing machine-learning models including receiving first training data formatted to be used in the training of a machine-learning model; receiving one or more challenge queries formatted to be run on the machine-learning model; generating, for the first training data, a plurality of associated training vectors that embed at least some of the first training data into a vector space; generating, for each of the one or more challenge queries, a plurality of associated challenge vectors that embed at least some of the challenge queries into the vector space; and determining, for each challenge query, a corresponding quality metric for the machine-learning model by determining a neighborhood density for each of the challenge queries in the vector space.
G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
