The technology involves neural networks that are implementable in hardware. These networks can reduce computation speed and cost for execution of complex or other training objectives. The process involves co-optimizing a neural network with its associated hardware implementation cost to derive a hardware solution. This includes using a hardware cost function in conjunction with an architecture gradient descent process. The resultant hardware solution may be implemented in hardware such as an FPGA or ASIC. A method includes identifying a training objective to be executable by a hardware computing device and identifying a hardware cost corresponding to a set of features of the hardware computing device. The hardware cost is applied to a neural network during training to achieve the training objective. The method generates a sparsity pattern in a set of layers of the neural network and generates a hardware implementation of the training objective according to the sparsity pattern.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting locations of utility assets. One of the methods includes receiving an input image of an area in a first geographical region; generating, from the input image and using a generative adversarial network, a corresponding reference image; and generating, by an object detection model and from the reference image, an output that identifies respective locations of one or more utility assets with reference to the input image.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
A method of calibrating a collimating lens system includes transmitting, using an optical transmitter, a beam out of an optical fiber and through a collimating lens of the collimating lens system. The beam is reflected off a perfect flat mirror positioned at an output of the collimating lens and back towards the collimating lens, and received, via the collimating lens, at a power meter connected to the optical fiber. The method also includes adjusting a position of a tip of the optical fiber proximal to the collimating lens while tracking a power reading using the power meter, selecting a calibration position of the optical fiber corresponding to a highest power reading, and securing the optical fiber relative to the collimating lens using the calibration position.
C01G 45/1228 - Manganates or manganites with trivalent manganese, tetravalent manganese or mixtures thereof of the type (MnO2)-, e.g. LiMnO2 or Li(MxMn1-x)O2
C01G 45/1242 - Manganates or manganites with trivalent manganese, tetravalent manganese or mixtures thereof of the type (Mn2O4)-, e.g. LiMn2O4 or Li(MxMn2-x)O4
C01G 51/42 - Complex oxides containing cobalt and at least one other metal element containing alkali metals, e.g. LiCoO2
C01G 51/50 - Complex oxides containing cobalt and at least one other metal element containing alkali metals, e.g. LiCoO2 containing manganese of the type (MnO2)n-, e.g. Li(CoxMn1-x)O2 or Li(MyCoxMn1-x-y)O2
C01G 53/42 - Complex oxides containing nickel and at least one other metal element containing alkali metals, e.g. LiNiO2
C01G 53/50 - Complex oxides containing nickel and at least one other metal element containing alkali metals, e.g. LiNiO2 containing manganese of the type (MnO2)n-, e.g. Li(NixMn1-x)O2 or Li(MyNixMn1-x-y)O2
C01G 55/00 - Compounds of ruthenium, rhodium, palladium, osmium, iridium, or platinum
H01B 1/22 - Conductive material dispersed in non-conductive organic material the conductive material comprising metals or alloys
H01B 1/24 - Conductive material dispersed in non-conductive organic material the conductive material comprising carbon-silicon compounds, carbon, or silicon
H01M 4/02 - Electrodes composed of, or comprising, active material
H01M 4/131 - Electrodes based on mixed oxides or hydroxides, or on mixtures of oxides or hydroxides, e.g. LiCoOx
H01M 4/36 - Selection of substances as active materials, active masses, active liquids
H01M 4/485 - Selection of substances as active materials, active masses, active liquids of inorganic oxides or hydroxides of mixed oxides or hydroxides for inserting or intercalating light metals, e.g. LiTi2O4 or LiTi2OxFy
H01M 4/505 - Selection of substances as active materials, active masses, active liquids of inorganic oxides or hydroxides of manganese of mixed oxides or hydroxides containing manganese for inserting or intercalating light metals, e.g. LiMn2O4 or LiMn2OxFy
H01M 4/525 - Selection of substances as active materials, active masses, active liquids of inorganic oxides or hydroxides of nickel, cobalt or iron of mixed oxides or hydroxides containing iron, cobalt or nickel for inserting or intercalating light metals, e.g. LiNiO2, LiCoO2 or LiCoOxFy
H01M 4/58 - Selection of substances as active materials, active masses, active liquids of inorganic compounds other than oxides or hydroxides, e.g. sulfides, selenides, tellurides, halogenides or LiCoFySelection of substances as active materials, active masses, active liquids of polyanionic structures, e.g. phosphates, silicates or borates
H01M 4/62 - Selection of inactive substances as ingredients for active masses, e.g. binders, fillers
This disclosure describes a system, method, and computer storage medium for joint asset and defect detection. The approach includes receiving input data including an input image of a utility asset, the input image including one or more objects. Deep neural networks are configured to generate embeddings for classification labels of the one or more objects, each embedding corresponding to a classification label and including a mapping between the classification label and a subset of feature vectors. Defect classifiers are configured to determine a likelihood of an object from the one or more objects in the input image containing a type of defect. Each defect classifier is trained to determine a type of defect based on the embeddings for the one or more classification labels. The approach includes generating an output image that includes bounding boxes for the objects and an annotation corresponding a respective object from the objects.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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 generating actions for a supply chain network. One of the methods includes receiving a request to generate an action in a supply chain network for a particular product based on current state information; providing a request to an action model to generate a respective probability distribution for one or more actions for one or more products; receiving, from the action model, the respective probability distributions for the one or more products; determining, for each product, a binned action from the respective probability distribution; providing a request to a sequence model to generate a respective correction for the one or more binned actions; and receiving, from the sequence model, the respective correction for the respective binned action.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating actions for a supply chain network. One of the methods includes receiving a request to generate an action in a supply chain network for a particular product based on current state information; providing a request to an action model to generate a respective probability distribution for one or more actions for one or more products; receiving, from the action model, the respective probability distributions for the one or more products; determining, for each product, a binned action from the respective probability distribution; providing a request to a sequence model to generate a respective correction for the one or more binned actions; and receiving, from the sequence model, the respective correction for the respective binned action.
The technology relates to a wireless system (100,200) that can be used indoors or outdoors, and is configured to reduce interference of beacon signals on channels used by the system (100,200). Aspects of the technology provide for evaluation of channel activity to determine an optimal transmission channel. This is beneficial where there is a high density of tags (102,104,400,500,600) that may be configured for data transmission. Tags (102, 104, 400, 500, 600) may include an antenna (440, 540, 6440) to receive signals; a first conditioning element (442,542,642) to attenuate received signals corresponding with the system channels; a converter (444,544,644) and a second conditioning element (446,546,646) to prepare attenuated signals for analysis; a comparator (448,548,648) to compare an attenuated signal to a threshold value; and a processor (450,550,650) to transmit a beacon signal to a reader apparatus (106) based on the comparison.
G06K 7/10 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation
G06K 19/07 - Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards with integrated circuit chips
H04W 4/029 - Location-based management or tracking services
9.
POLARIZATION BEAM SPLITTER USING ASYMMETRIC POWER SPLITTING AND MULTIPATH INTERFEROMETRY
A polarization beam splitter includes an input port, first and second output ports, and a polarization splitting region coupled between the input port and the first and second output ports. The input port is adapted to receive guided optical signals that are polarization multiplexed, including a transverse electric (TE) optical signal and a transverse magnetic (TM) optical signal. The polarization splitting region includes a pattern of at least two materials having different refractive indexes. The pattern is shaped to demultiplex the TE and TM optical signals by directing a first power majority of the TE optical signal received at the input port to the second output port via asymmetrical power splitting while directing a second power majority of the TM optical signal received at the input port to the first output port via multipath interferometry.
G02B 6/126 - Light guidesStructural details of arrangements comprising light guides and other optical elements, e.g. couplings of the optical waveguide type of the integrated circuit kind using polarisation effects
G02B 27/28 - Optical systems or apparatus not provided for by any of the groups , for polarising
G02B 6/12 - Light guidesStructural details of arrangements comprising light guides and other optical elements, e.g. couplings of the optical waveguide type of the integrated circuit kind
10.
TECHNIQUES FOR USING INVERSE DESIGN FOR COMBINED OPTIMIZATION OF OPTICAL AND ELECTRICAL COMPONENTS IN AN OPTOELECTRONIC RECEIVER
In some embodiments, a computer-implemented method of creating a design for an optoelectronic detector device is provided. A computing system determines an initial design that includes circuit parameters for at least one photodetector region and for conductors that couple the photodetector region to circuitry. The computing system simulates performance of an optically active region to generate a plurality of field values, and simulates performance of the at least one photodetector region based on the plurality of field values to generate charge values. The computing system simulates performance of at least the conductors based on the charge values to generate a performance loss value, and determines a loss metric based on the performance loss value. The computing system backpropagates the loss metric to determine a circuit parameter gradient, and revises the circuit parameters based at least in part on the circuit parameter gradient to create an updated initial design
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G06F 30/23 - Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
G06N 3/084 - Backpropagation, e.g. using gradient descent
G06F 119/02 - Reliability analysis or reliability optimisationFailure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
G06F 119/10 - Noise analysis or noise optimisation
11.
Large Language Models for Predictive Modeling and Inverse Design
An inverse design system combines a large language model (LLM) with a task-specific optimizer, which includes a search function, a forward model, and a comparator. The LLM adjusts parameters of the optimizer's components in response to a design scenario. Then the optimizer processes the design scenario to produce design candidates. Optionally, the LLM learns from the design candidates in an iterative process. A stochastic predictive modeling system combines an LLM with input distributions and a forward model. The LLM adjusts one or more of the input distributions and/or the forward model in response to a forecast scenario. Then the forward model processes a sampling of the input distributions to produce a forward distribution. Optionally, the LLM informs the sampling process. Optionally, the LLM learns from the forward distribution.
Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.
An inverse design system combines a large language model (LLM) with a task-specific optimizer, which includes a search function, a forward model, and a comparator. The LLM adjusts parameters of the optimizer's components in response to a design scenario. Then the optimizer processes the design scenario to produce design candidates. Optionally, the LLM learns from the design candidates in an iterative process. A stochastic predictive modeling system combines an LLM with input distributions and a forward model. The LLM adjusts one or more of the input distributions and/or the forward model in response to a forecast scenario. Then the forward model processes a sampling of the input distributions to produce a forward distribution. Optionally, the LLM informs the sampling process. Optionally, the LLM learns from the forward distribution.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
14.
OPTIMIZATION OF HEATERS FOR TUNING PHOTONIC DEVICES
In some embodiments, a computer-implemented method of creating a design for an optoelectronic device is provided. A computing system determines an initial heater design that includes one or more heater parameters. The computing system determines a temperature gradation by simulating performance of the initial heater design in adjusting an environmental temperature to a nominal temperature. The computing system simulates performance of a nominal optimized design of a dispersive region of the optoelectronic device, given the temperature gradation, to determine a temperature-influenced performance loss value. The computing system determines a heater parameter gradient based on the temperature-influenced performance loss value, and revises the heater parameters based at least in part on the heater parameter gradient to create a revised heater design.
G02B 6/12 - Light guidesStructural details of arrangements comprising light guides and other optical elements, e.g. couplings of the optical waveguide type of the integrated circuit kind
G02B 6/287 - Structuring of light guides to shape optical elements with heat application
G02B 27/00 - Optical systems or apparatus not provided for by any of the groups ,
15.
APTAMER DESIGN BY REINFORCEMENT LEARNING BASED FINE-TUNING OF GENERATIVE LANGUAGE MODELS
The present disclosure relates to a closed loop aptamer development system that leverages in vitro experiments and in silico computation and artificial intelligence-based techniques to iteratively improve a process for identifying binders that can bind a molecular target. Particularly, aspects of the present disclosure are directed to obtaining, using an experimental assay, experimental data for a set of aptamers. The experimental data includes multiple pairs of data, each pair of data having: (i) an aptamer sequence for an aptamer from a set of aptamers, and (ii) a measurement for the characteristic of the aptamer with respect to a given target. A reward model is fine-tuned, using the experimental data, to predict a function-approximation metric for the characteristic of each aptamer in the set of aptamers. A decoder model is fine-tuned for generating novel aptamer sequences based on the function-approximation metric generated by the reward model for the novel aptamer sequences.
A polarization beam splitter includes an input port, first and second output ports, and a polarization splitting region coupled between the input port and the first and second output ports. The input port is adapted to receive guided optical signals that are polarization multiplexed, including a transverse electric (TE) optical signal and a transverse magnetic (TM) optical signal. The polarization splitting region includes a pattern of at least two materials having different refractive indexes. The pattern is shaped to demultiplex the TE and TM optical signals by directing a first power majority of the TE optical signal received at the input port to the second output port via asymmetrical power splitting while directing a second power majority of the TM optical signal received at the input port to the first output port via multipath interferometry.
G02F 1/01 - Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulatingNon-linear optics for the control of the intensity, phase, polarisation or colour
G02B 27/00 - Optical systems or apparatus not provided for by any of the groups ,
G02F 1/21 - Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulatingNon-linear optics for the control of the intensity, phase, polarisation or colour by interference
17.
TECHNIQUES FOR USING INVERSE DESIGN FOR COMBINED OPTIMIZATION OF OPTICAL AND ELECTRICAL COMPONENTS IN AN OPTOELECTRONIC RECEIVER
In some embodiments, a computer-implemented method of creating a design for an optoelectronic detector device is provided. A computing system determines an initial design that includes circuit parameters for at least one photodetector region and for conductors that couple the photodetector region to circuitry. The computing system simulates performance of an optically active region to generate a plurality of field values, and simulates performance of the at least one photodetector region based on the plurality of field values to generate charge values. The computing system simulates performance of at least the conductors based on the charge values to generate a performance loss value, and determines a loss metric based on the performance loss value. The computing system backpropagates the loss metric to determine a circuit parameter gradient, and revises the circuit parameters based at least in part on the circuit parameter gradient to create an updated initial design.
In some embodiments, a computer-implemented method of creating a design for an optoelectronic device is provided. A computing system determines an initial heater design that includes one or more heater parameters. The computing system determines a temperature gradation by simulating performance of the initial heater design in adjusting an environmental temperature to a nominal temperature. The computing system simulates performance of a nominal optimized design of a dispersive region of the optoelectronic device, given the temperature gradation, to determine a temperature-influenced performance loss value. The computing system determines a heater parameter gradient based on the temperature-influenced performance loss value, and revises the heater parameters based at least in part on the heater parameter gradient to create a revised heater design.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a temporal range of a fire. In some implementations, a server obtains a date when a fire occurred within a region. The server obtains satellite imagery of the region from before the date when the fire occurred. The server generates a first statistical distribution from the satellite imagery. The server determines a start date of the fire using the first statistical distribution. The server obtains second satellite imagery of the region from before and after the start date. The server selects a second set of imagery from the second satellite imagery from before the start date. The server generates a second statistical distribution from the second set of imagery. The server determines an end date of the fire using the second statistical distribution. The server provides the start date and the end date for output.
G06F 16/587 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
20.
UNIFIED PLATFORM FOR PLANNING AND OPERATIONS OF AN ELECTRIC POWER GRID
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for simulation of electrical power grid behaviors. In some instances, a data model associated with an electrical power grid is obtained. The data model stores static data and dynamic data that can be continuously integrated into the data model based on data streams obtained from data sources associated with properties of the electrical power grid. A set of interfaces can be instantiated for querying data based on the data model. The querying is related to data from at least one of a planning analysis modeling domain or an operation analysis modeling domain from the data model related to the electrical power grid. A query associated with a first planning operation in the planning analysis modeling domain is executed. The query defines one or more nodes of the electrical power grid and relates to the planning analysis domain.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for simulation of electrical power grid behaviors. In some instances, a data model associated with an electrical power grid is obtained. The data model stores static data and dynamic data that can be continuously integrated into the data model based on data streams obtained from data sources associated with properties of the electrical power grid. A set of interfaces can be instantiated for querying data based on the data model. The querying is related to data from at least one of a planning analysis modeling domain or an operation analysis modeling domain from the data model related to the electrical power grid. A query associated with a first planning operation in the planning analysis modeling domain is executed. The query defines one or more nodes of the electrical power grid and relates to the planning analysis domain.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
In some embodiments, a computer-implemented method for simulating performance of a physical device is provided. Calculating a current time step of an operational simulation of the physical device includes, for each voxel of a simulated environment, concurrently with loading a set of field values for the voxel for a previous time step from a main memory, determining permittivity values for the voxel using feature parameter values. The computing system calculates a set of field values for the voxel for the current time step based on the set of field values for the voxel for the previous time step and the permittivity values.
This disclosure describes a system, method, and non-transitory computer-readable medium for image search-based object detection of utility assets in image databases. The method includes receiving an input image of a utility asset and a query bounding box representing an image-based object query. Bounding boxes of objects represented in the input image are generated based on the input image and the query bounding box, in which anchoring boxes corresponding to object classifications are identified from the bounding boxes. A textual label is determined for a selected subset of anchoring boxes. An image embedding representing the region is encoded, and image tokens are generated based on the encoded image embedding. Output images of other utility assets relevant to the image-based object query are identified from images in an image database, based on at least one of (i) the encoded image embedding, (ii) the image tokens, or (iii) the textual label. The output images are provided for output.
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 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates
25.
GENERATION AND IMPLEMENTATION OF GEOSPATIAL WORKFLOWS
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 16/909 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
26.
AGGREGATING DISPARATE DATA REPRESENTATIVE OF AN ADVERSE EVENT FOR MACHINE LEARNING
Methods, systems, and apparatus for accepting, by a training system, a plurality of sets of data elements, wherein a first set of data elements describe a first property of a first adverse event, a second set of data elements describe the first property of a second adverse event, and a third set of data elements describe the first property of a third adverse event, determining, by the training system, that the first adverse event and the second adverse event are associated with a first adverse event complex, and in response: aggregating at least a subset of the first set of data elements and at least a subset of the second set of data elements into an aggregate set of data elements describing the first property for the first adverse event complex, and training, by the training system, a ML model.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
42 - Scientific, technological and industrial services, research and design
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Scientific research and development; research and
development of technology in the fields of biology,
synthetic biology, pharmaceutical preparations,
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chemicals, organisms, and bioprocesses; research,
development and engineering services in the fields of
biology, synthetic biology, pharmaceutical preparations,
biotechnology, living systems, renewable materials,
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research, development and testing services in the fields of
biology, synthetic biology, pharmaceutical preparations,
biotechnology, living systems, renewable materials,
chemicals, organisms, and bioprocesses; custom synthesis in
the nature of genetic engineering of DNA, biological
organisms, cells, viruses and special purpose cells for
scientific, engineering, research, medical, agricultural,
food, chemical, energy, industrial, and manufacturing use;
consulting services in the fields of research in biology,
synthetic biology, pharmaceutical preparations,
biotechnology, living systems, renewable materials,
chemicals, organisms, and bioprocesses; biotechnology
research; biological research; design of computer-simulated
models; computer modeling services in the fields of biology,
synthetic biology, pharmaceutical preparations,
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chemicals, organisms, and bioprocesses; providing online
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providing temporary use of on-line non-downloadable software
development tools using artificial intelligence (AI),
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renewable materials, chemicals, organisms, and bioprocesses;
computer software platforms using artificial intelligence
(AI), machine learning, and deep learning for research,
modeling, data collection, data ingestion, data storage, and
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renewable materials, chemicals, organisms, and bioprocesses.
Techniques for providing carbon dioxide include generating thermal energy, an exhaust fluid, and electrical power from a power plant; providing the exhaust fluid and the generated electrical power to an exhaust fluid scrubbing system to separate components of the exhaust fluid; capturing heat from a source of heat of an industrial process in a heating fluid; transferring the heat of the industrial process captured in the heating fluid to a carbon dioxide source material of a direct air capture (DAC) system; providing the generated electrical power from the power plant to the DAC system; providing the thermal energy from the power plant to the DAC system; and separating, with the transferred portion of the heat of the industrial process and the provided thermal energy, carbon dioxide from the carbon dioxide source material of the DAC system.
F25J 3/02 - Processes or apparatus for separating the constituents of gaseous mixtures involving the use of liquefaction or solidification by rectification, i.e. by continuous interchange of heat and material between a vapour stream and a liquid stream
09 - Scientific and electric apparatus and instruments
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Telecommunication exchangers; telecommunication cables; telecommunication transmitters; electric capacitators for telecommunication apparatus; broadband wireless equipment, namely, telecommunications base station equipment for cellular and fixed networking and communications applications; telecommunications hardware and recorded software for monitoring and alerting remote sensor status via the Internet sold as a unit; lasers for non-medical use; laser equipment for non-medical purposes; electronic and optical communications instruments and components, namely, optical transmitters, optical receivers, communication link testers for testing communication links, digital transmitters, optical transceivers, and optical data links; telecommunications equipment, namely, free-space optics transmission systems; downloadable computer software for providing internet and broadband access. Telecommunication services, namely, providing internet access, fiber optic network services, gateway services, routing and junction services, and telecommunication consultation; providing telecommunications connections to the Internet or databases; telecommunication services, namely, providing internet access via free-space optics transmission systems. Computer technology consulting in the fields of information technology relating to computer network design, computer programming, and global communication computer network design; design for others in the fields of information technology, computer programming, telecommunications and global computer networks; installation and maintenance of Internet access software; software as a service (SAAS) services featuring software for providing internet and broadband access.
09 - Scientific and electric apparatus and instruments
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Goods & Services
Telecommunication services, namely, providing internet access, fiber optic network services, gateway services, routing and junction services, and telecommunication consultation; providing telecommunications connections to the Internet or databases; telecommunication services, namely, providing internet access via free-space optics transmission systems. Telecommunication exchangers; telecommunication cables; telecommunication transmitters; electric capacitators for telecommunication apparatus; broadband wireless equipment, namely, telecommunications base station equipment for cellular and fixed networking and communications applications; telecommunications hardware and recorded software for monitoring and alerting remote sensor status via the Internet sold as a unit; lasers for non-medical use; laser equipment for non-medical purposes; electronic and optical communications instruments and components, namely, optical transmitters, optical receivers, communication link testers for testing communication links, digital transmitters, optical transceivers, and optical data links; telecommunications equipment, namely, free-space optics transmission systems; downloadable computer software for providing internet and broadband access. Computer technology consulting in the fields of information technology relating to computer network design, computer programming, and global communication computer network design; design for others in the fields of information technology, computer programming, telecommunications and global computer networks; installation and maintenance of Internet access software; software as a service (SAAS) services featuring software for providing internet and broadband access.
09 - Scientific and electric apparatus and instruments
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Telecommunication exchangers; telecommunication cables; telecommunication transmitters; electric capacitators for telecommunication apparatus; broadband wireless equipment, namely, telecommunications base station equipment for cellular and fixed networking and communications applications; telecommunications hardware and recorded software for monitoring and alerting remote sensor status via the Internet sold as a unit; lasers for non-medical use; laser equipment for non-medical purposes; electronic and optical communications instruments and components, namely, optical transmitters, optical receivers, communication link testers for testing communication links, digital transmitters, optical transceivers, and optical data links; telecommunications equipment, namely, free-space optics transmission systems; downloadable computer software for providing internet and broadband access. Telecommunication services, namely, providing internet access, fiber optic network services, gateway services, routing and junction services, and telecommunication consultation; providing telecommunications connections to the Internet or databases; telecommunication services, namely, providing internet access via free-space optics transmission systems. Computer technology consulting in the fields of information technology relating to computer network design, computer programming, and global communication computer network design; design for others in the fields of information technology, computer programming, telecommunications and global computer networks; installation and maintenance of Internet access software; software as a service (SAAS) services featuring software for providing internet and broadband access.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Research and development of new products; Providing a website that features information on research and product development; Providing information in the fields of technology and product design and development; Providing a website featuring information on the use of technology to solve international problems; Design and testing for new product development; New company incubator services; 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 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, automation, supply chain logistics, communications and Internet access, utility access and monitoring, and bioengineering.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Telecommunication services, namely, providing internet access, fiber optic network services, gateway services, routing and junction services, and telecommunication consultation; providing telecommunications connections to the Internet or databases; telecommunication services, namely, providing internet access via free-space optics transmission systems. Telecommunication exchangers; telecommunication cables; telecommunication transmitters; electric capacitators for telecommunication apparatus; broadband wireless equipment, namely, telecommunications base station equipment for cellular and fixed networking and communications applications; telecommunications hardware and recorded software for monitoring and alerting remote sensor status via the Internet sold as a unit; lasers for non-medical use; laser equipment for non-medical purposes; electronic and optical communications instruments and components, namely, optical transmitters, optical receivers, communication link testers for testing communication links, digital transmitters, optical transceivers, and optical data links; telecommunications equipment, namely, free-space optics transmission systems; downloadable computer software for providing internet and broadband access Computer technology consulting in the fields of information technology relating to computer network design, computer programming, and global communication computer network design; design for others in the fields of information technology, computer programming, telecommunications and global computer networks; installation and maintenance of Internet access software; software as a service (SAAS) services featuring software for providing internet and broadband access.
34.
IMAGING A SUBTERRANEAN FORMATION THROUGH ACOUSTIC ENERGY DELIVERED THROUGH A LIQUID
Techniques for imaging a subterranean formation include activating an acoustic energy source that is at least partially submerged in a volume of liquid on or under a terranean surface; based on the activating, producing acoustic wave energy that travels through the volume of liquid and to a subterranean zone below the terranean surface; receiving, at one or more acoustic receivers, reflected acoustic wave energy from the subterranean zone; and generating, with a control system, data associated with the subterranean zone based on the reflected acoustic wave energy.
Methods, systems, and apparatus for an infrared and visible imaging system. In some implementations, Image data from a visible-light camera is obtained. A position of a device is determined based at least in part on the image data from the visible-light camera. An infrared camera is positioned so that the device is in a field of view of the infrared camera, with the field of view of the infrared camera being narrower than the field of view of the visible-light camera. Infrared image data from the infrared camera that includes regions representing the device is obtained. Infrared image data from the infrared camera that represents the device is recorded. Position data is also recorded that indicates the location and pose of the infrared camera when the infrared image data is acquired by the infrared camera.
G01J 5/07 - Arrangements for adjusting the solid angle of collected radiation, e.g. adjusting or orienting field of view, tracking position or encoding angular position
In some embodiments, a computer-implemented method for designing a physical device is provided. A computing system generates an initial design based on a design specification. The initial design includes a list of features, and each feature of the list of features represents a convex shape. The computing system determines a set of signed distance fields that includes a signed distance field for each feature of the list of features, and determines a set of structural parameters using the set of signed distance fields. The computing system simulates performance of the initial design using the set of structural parameters to determine a performance loss value. The computing system determines at least one fabrication loss value using the set of signed distance fields. The computing system updates at least one feature of the list of features using the at least one fabrication loss value and a gradient of the performance loss value.
Methods, systems, and apparatus for using one or more machine learning (ML) models to mitigate effects of climate change by evaluating impact of wildfire mitigation actions (WMAs) for selective deployment of WMAs.
Disclosed implementations relate to adding "bottleneck" models to machine learning pipelines that already apply domain models to translate and/or transfer representations of high-level semantic concepts between domains. In various implementations, an initial representation in a first domain of a transition from an initial state of an environment to a goal state of the environment may be processed based on a pre-trained first domain encoder to generate a first embedding that semantically represents the transition. The first embedding may be processed based on one or more bottleneck models to generate a second embedding with fewer dimensions than the first embedding. In various implementations, the second embedding may be processed in various ways to train one or more of the bottleneck model(s) based on various different auxiliary loss functions.
Methods, systems, and apparatus, including computer programs encoded on a storage device, for filling gaps in electric grid models are enclosed. A method includes obtaining vector data representing first portions of paths of electric grid wires over a geographic region; converting the vector data to first raster image data that depicts an overhead view of the electric grid wires including a first set of line segments representing the first portions of the paths; processing the first raster image data using a gap filling model; obtaining, as output from the gap filling model, second raster image data including a second set of line segments corresponding to gaps included in the input raster image data and representing second portions of paths of the electric grid wires; and converting the second raster image data to vector data representing the first portions and the second portions of paths of the electric grid wires.
Methods, systems, and apparatus, including computer programs encoded on a storage device, for mapping an electrical grid are disclosed. A method includes sampling multiple locations within a geographic region, executing a detection process for each location, the detection process including applying the set of images for the location as input to a machine learning (ML) model that is trained to identify electrical grid assets depicted within images taken from a combination of different perspectives and obtaining an output from the machine learning model that indicates whether a same electrical grid asset is identified in each of the images of the location. In response to an ML output that indicates a positive identification of the same electrical grid asset being depicted in a particular set of images of a particular location, the method further includes: selecting a number of sublocations within the region, and executing the detection process for each sublocation.
Methods, systems, and apparatus for using one or more machine learning (ML) models to mitigate effects of climate change by evaluating impact of wildfire mitigation actions (WMAs) for selective deployment of WMAs.
Methods, systems, and apparatus, including computer programs encoded on a storage device, for mapping an electrical grid are disclosed. A method includes sampling multiple locations within a geographic region, executing a detection process for each location, the detection process including applying the set of images for the location as input to a machine learning (ML) model that is trained to identify electrical grid assets depicted within images taken from a combination of different perspectives and obtaining an output from the machine learning model that indicates whether a same electrical grid asset is identified in each of the images of the location. In response to an ML output that indicates a positive identification of the same electrical grid asset being depicted in a particular set of images of a particular location, the method further includes: selecting a number of sublocations within the region, and executing the detection process for each sublocation.
Disclosed implementations relate to adding “bottleneck” models to machine learning pipelines that already apply domain models to translate and/or transfer representations of high-level semantic concepts between domains. In various implementations, an initial representation in a first domain of a transition from an initial state of an environment to a goal state of the environment may be processed based on a pre-trained first domain encoder to generate a first embedding that semantically represents the transition. The first embedding may be processed based on one or more bottleneck models to generate a second embedding with fewer dimensions than the first embedding. In various implementations, the second embedding may be processed in various ways to train one or more of the bottleneck model(s) based on various different auxiliary loss functions.
A method includes generating a greenhouse gas (GHG) mitigation credit including identifying a set of tasks to be completed by a respective set of first entities that collectively generate a GHG mitigation having a set of GHG mitigation parameters; receiving, from a second entity, a request for a GHG credit acquisition for the GHG mitigation credit; in response to receiving the request, executing the request for the GHG credit acquisition and providing the GHG mitigation credit to the second entity; and providing, to at least one of the set of first entities, instructions to cause the at least one of the set of first entities to execute a respective task of the set of tasks.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
A method includes: generating a set of tasks; determining, by a machine learning model and based on multiple data types from multiple sources, that an overall risk score exceeds a first failure threshold due to a risk score of a task exceeding a second threshold; selecting a replacement task for the task, the selecting including: receiving, replacement candidates, each replacement candidate including a candidate offset potential and one or more candidate failure mechanisms; assigning, by the machine learning model and to each of the replacement candidates, a replacement score for the replacement candidate based on a failure correlation of the replacement candidate with respect to each other sets of the set of tasks; ranking the replacement candidates based on the replacement scores; and selecting, based on the ranking, the replacement task; and generating, an updated set of tasks including the replacement task.
Aspects of the disclosure provide a method of converting power received in one or more optical power beams to electrical power. The method comprising receiving, at an OP A (114, 418, 504) of a first optical terminal (102, 402), a first optical power beam from a remote optical terminal (122, 412); determining, by one or more processors (104, 424, 516, 516b, 516c, 516e), a first distribution of the received first optical power beam across a plurality of cells (510), wherein the plurality of cells (510) are configured to convert power from the from optical power beams to electrical power, and the first distribution is determined based on an initial conversion capability of each of the plurality of cells (510); distributing, by an optical switch matrix (508), power from the first optical power beam across the plurality of cells (510) based on the determined first distribution; and converting, by the plurality of cells (510), at least a portion of the first optical power beam to electrical power.
H02J 50/30 - Circuit arrangements or systems for wireless supply or distribution of electric power using light, e.g. lasers
H02J 50/40 - Circuit arrangements or systems for wireless supply or distribution of electric power using two or more transmitting or receiving devices
H04B 10/80 - Optical aspects relating to the use of optical transmission for specific applications, not provided for in groups , e.g. optical power feeding or optical transmission through water
A method includes: generating a set of tasks; determining, by a machine learning model and based on multiple data types from multiple sources, that an overall risk score exceeds a first failure threshold due to a risk score of a task exceeding a second threshold; selecting a replacement task for the task, the selecting including: receiving, replacement candidates, each replacement candidate including a candidate offset potential and one or more candidate failure mechanisms; assigning, by the machine learning model and to each of the replacement candidates, a replacement score for the replacement candidate based on a failure correlation of the replacement candidate with respect to each other sets of the set of tasks; ranking the replacement candidates based on the replacement scores; and selecting, based on the ranking, the replacement task; and generating, an updated set of tasks including the replacement task.
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
G06Q 10/0635 - Risk analysis of enterprise or organisation activities
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
A method includes: generating a greenhouse gas (GHG) mitigation credit including identifying a set of tasks to be completed by a respective set of first entities that collectively generate a GHG mitigation having a set of GHG mitigation parameters; receiving, from a second entity, a request for a GHG credit acquisition for the GHG mitigation credit; in response to receiving the request, executing the request for the GHG credit acquisition and providing the GHG mitigation credit to the second entity; and providing, to at least one of the set of first entities, instructions to cause the at least one of the set of first entities to execute a respective task of the set of tasks.
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
G06Q 10/0635 - Risk analysis of enterprise or organisation activities
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
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.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting, from a set of actions, actions to be performed by an agent interacting with an environment to cause the agent to perform a task. One of the methods includes receiving a current observation characterizing a current environment state of the environment, selecting an action to be performed by the agent in response to the current observation by performing multiple iterations of outer look ahead search, wherein performing the multiple iterations of outer look ahead search comprises, in each outer look ahead search iteration: determining a proper subset of the possible future states of the environment; determining that one or more inner look ahead search commencement criteria are satisfied; and in response, performing an inner look ahead search of the proper subset of the possible future states of the environment.
Provided herein are methods of reducing the chemical content such as metal, sulfur, phosphorus, and/or organic content of waste. The methods and systems include contacting waste with an acid or base to neutralize the waste.
C02F 1/461 - Treatment of water, waste water, or sewage by electrochemical methods by electrolysis
C02F 1/469 - Treatment of water, waste water, or sewage by electrochemical methods by electrochemical separation, e.g. by electro-osmosis, electrodialysis, electrophoresis
C02F 1/66 - Treatment of water, waste water, or sewage by neutralisationTreatment of water, waste water, or sewage pH adjustment
C02F 103/10 - Nature of the water, waste water, sewage or sludge to be treated from quarries or from mining activities
C02F 103/16 - Nature of the water, waste water, sewage or sludge to be treated from metallurgical processes, i.e. from the production, refining or treatment of metals, e.g. galvanic wastes
C02F 103/18 - Nature of the water, waste water, sewage or sludge to be treated from the wet purification of gaseous effluents
52.
MULTI-MODAL ARTIFICIAL INTELLIGENCE PLATFORM FOR BUILDING CONSTRUCTION
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for a multi-modal artificial intelligence platform for building construction. The multi-model artificial intelligence platform includes various engines that perform various computer-implemented methods. The various engines include a site selector artificial intelligence (AI) engine, a geospatial database, a site compliance analyzer AI engine, a masterplan generator AI engine, a compliance analyzer AI engine, an aesthetic generator AI engine, a schematic generator AI engine, a construction plan generator AI engine, a project timeline generator AI engine, a compliance application generator AI engine, and a financial model generator AI engine. Respective AI engines collaboratively cooperate for end-to-end AI-driven building construction design and development.
Techniques for determining a mineralogy of a portion of a drainage basin include identifying topography data associated with a drainage basin comprising at least one body of water; identifying weather data associated with the drainage basin; identifying first sensor data associated with a first water sensor installed in the drainage basin; identifying second sensor data associated with a second water sensor that is located downstream of the first water sensor in the drainage basin; providing the first sensor data, second sensor data, topography data, and weather data as input to a machine learning algorithm; and determining, by the machine learning algorithm, a mineralogy of a portion of the drainage basin.
G01C 13/00 - Surveying specially adapted to open water, e.g. sea, lake, river or canal
G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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.
B28C 7/02 - Controlling the operation of the mixing
C04B 20/00 - Use of materials as fillers for mortars, concrete or artificial stone according to more than one of groups and characterised by shape or grain distributionTreatment of materials according to more than one of the groups specially adapted to enhance their filling properties in mortars, concrete or artificial stoneExpanding or defibrillating materials
C04B 40/00 - Processes, in general, for influencing or modifying the properties of mortars, concrete or artificial stone compositions, e.g. their setting or hardening ability
G01N 15/0205 - Investigating particle size or size distribution by optical means
G16C 60/00 - Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
56.
CHARACTERIZING ELECTRICAL GRID AND PREDICTING FAULT CONDITIONS USING INVERTERS
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.
09 - Scientific and electric apparatus and instruments
40 - Treatment of materials; recycling, air and water treatment,
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Photonic integrated circuits; semiconductor devices;
photonic components and systems for use in optical
communication networks, namely, optical transceivers; indium
phosphide-based photonic components, namely, integrated
circuits; optical circuits, namely, integrated circuits;
downloadable and recorded operating software for use in
photonic integrated circuits, semiconductors, integrated
circuits, fiber optic hardware, electro-optic components,
optical transceivers and receivers; downloadable and
recorded software for electromagnetic design, modeling and
simulation, of integrated optics and photonic components;
fiber optic hardware; electro-optic components; optical
transceivers and receivers; metasurface optics; quantum
computers; telecommunications hardware; computer chipsets;
downloadable and recorded computer software for
communication, wireless communication and connectivity;
downloadable and recorded firmware for using and controlling
wireless broadband communication technology and to enable
communication and wireless communication; microprocessors;
microprocessor cores; central processing units; converged
network interface controllers; integrated circuits;
downloadable and recorded software for communication,
interoperability and connectivity, and for controlling and
using integrated circuits; software contained or embedded in
computer hardware for communication, interoperability and
connectivity, and for controlling and using integrated
circuits. Consulting services in the field of manufacturing process
for photonic integrated circuits, semiconductors, integrated
circuits, fiber optic hardware, electro-optic components,
optical transceivers and receivers. Design, development, and engineering of photonic integrated
circuits, semiconductors, integrated circuits, fiber optic
hardware, electro-optic components, optical transceivers and
receivers, antennas, radio-frequency receivers and
transmitters; research and engineering services in the field
of photonics, integrated photonics design, electronics
design, and fiber-optic technology; consulting in the fields
of design, development, engineering, and electronic
monitoring of photonic integrated circuits, semiconductors,
integrated circuits, fiber optic hardware, electro-optic
components, optical transceivers and receivers, antennas,
radio-frequency receivers and transmitters; technical
support services, namely, troubleshooting in the nature of
diagnosing computer hardware and software problems and
monitoring technological functions being product testing of
photonic integrated circuits, semiconductors, integrated
circuits, fiber optic hardware, electro-optic components,
optical transceivers and receivers, antennas,
radio-frequency receivers and transmitters; engineering
services; product research and development; development of
software for photonic integrated circuits, semiconductors,
integrated circuits, fiber optic hardware, electro-optic
components, optical transceivers and receivers, antennas,
radio-frequency receivers and transmitters; quantum
computing. Licensing of intellectual property.
Methods, systems, and apparatus, including medium-encoded computer program products, for an access controlled power grid model. A power grid model can include multiple regions. Access can be provided only to a subset of regions based on access privileges, and the user can be denied access to regions of the power grid model outside of the subset. A simulation can be executed using input from the user and can include simulation parameters for at least one of the regions in the subset. The simulation can be executed on the regions of the power grid model in the subset and at least one additional region that is not in the subset. The simulation can produce results that can include electrical values of components in the regions within the subset and values of components in at least one additional region. The output can include only the simulation results for regions within the subset.
This disclosure describes a system and method for enabling an inverter to temporarily sustain fault current. One implementation is a system that includes an inverter having a plurality of transistors. A reservoir having an outlet channel is configured to contain a compressed gas. The outlet channel is arranged to direct the compressed gas towards a heatsink in thermal communication with one or more of the plurality of transistors. A control valve can be positioned between the reservoir and the outlet channel and a controller can be configured to detect an overcurrent event in the inverter and, in response, open the control valve. A transformer is electrically connected to an output of the inverter and configured to step down voltage from the inverter to a circuit being supplied by the inverter.
In some embodiments, a method for creating a design for a physical device is provided. A computing system receives a design specification. The computing system generates a proposed design based on the design specification. The computing system determines a vector of loss values based on the proposed design. The computing system determines a scalar loss value based on a distance between the vector of loss values and a volume representing desired characteristics of the physical device. The computing system updates the proposed design based on the scalar loss value.
Methods, systems, and apparatus, including medium-encoded computer program products, for an access controlled power grid model. A power grid model can include multiple regions. Access can be provided only to a subset of regions based on access privileges, and the user can be denied access to regions of the power grid model outside of the subset. A simulation can be executed using input from the user and can include simulation parameters for at least one of the regions in the subset. The simulation can be executed on the regions of the power grid model in the subset and at least one additional region that is not in the subset. The simulation can produce results that can include electrical values of components in the regions within the subset and values of components in at least one additional region. The output can include only the simulation results for regions within the subset.
G06F 30/18 - Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
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 of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
63.
INVERSE DESIGNED PHOTONIC INTEGRATED CIRCUIT WITH IMPROVED SIGNAL TO NOISE RATIO
A photonic integrated circuit including an optical modulator, one or more waveguides, and an outcoupler is described. The optical modulator includes a modulation region and a modulation actuator. The modulation region includes an inhomogeneous arrangement of two or more different materials having different refractive indexes to structure the modulation region to manipulate one or more optical properties of an optical carrier wave in response to a modulation bias. The modulation actuator is disposed proximate to the modulation region and adapted to apply the modulation bias to the modulation region to generate a first signal and a second signal. The outcoupler is optically coupled to the one or more waveguides to receive the first signal and the second signal and further adapted to preserve the first signal and the second signal as a combined signal directed out of the photonic integrated circuit.
G02F 1/025 - Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulatingNon-linear optics for the control of the intensity, phase, polarisation or colour based on semiconductor elements having potential barriers, e.g. having a PN or PIN junction in an optical waveguide structure
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes obtaining a prompt, obtaining a set of documents, generating an input, providing the input to a plurality of language models, generating a distribution from intermediate answers from the language models; and generating an answer to the prompt by performing a probabilistic inference over the distribution.
The technology provides techniques for optimizing transistor-level placement using a hybrid approach involving reinforcement learning (“RL”) in conjunction with an optimization technique. This can include implementing an iterative RL training process for an integrated circuit to train a RL agent, including the RL agent learning an ordering of transistors for the integrated circuit by placement of one transistor on an encoded grid per iteration. The RL agent iterates until all transistors for the integrated circuit are placed on the encoded grid. Upon placing all the transistors on the encoded grid, one or more processors implement a solver module using the ordering of the transistors as an input. The solver module is configured to perform an optimization to minimize spacing between the transistors. The trained reinforcement learning agent can then be save in memory.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes obtaining a prompt, obtaining a set of documents, generating an input, providing the input to a plurality of language models, generating a distribution from intermediate answers from the language models; and generating an answer to the prompt by performing a probabilistic inference over the distribution.
The technology provides techniques for optimizing transistor-level placement using a hybrid approach involving reinforcement learning ("RL") in conjunction with an optimization technique. This can include implementing an iterative RL training process for an integrated circuit to train a RL agent, including the RL agent learning an ordering of transistors for the integrated circuit by placement of one transistor on an encoded grid per iteration. The RL agent iterates until all transistors for the integrated circuit are placed on tire encoded grid. Upon placing all the transistors on the encoded grid, one or more processors implement a solver module using the ordering of the transistors as an input. The solver module is configured to perform an optimization to minimize spacing between the transistors. The trained reinforcement learning agent can then be save in memory.
G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
68.
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 20/28 - Solid sorbent compositions or filter aid compositionsSorbents for chromatographyProcesses for preparing, regenerating or reactivating thereof characterised by their form or physical properties
B01D 53/02 - Separation of gases or vapoursRecovering vapours of volatile solvents from gasesChemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases or aerosols by adsorption, e.g. preparative gas chromatography
B01J 20/30 - Processes for preparing, regenerating or reactivating
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Scientific research and development; research and development of technology in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; research, development and engineering services in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; design, engineering, research, development and testing services in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; custom synthesis in the nature of genetic engineering of DNA, biological organisms, cells, viruses and special purpose cells for scientific, engineering, research, medical, agricultural, food, chemical, energy, industrial, and manufacturing use; consulting services in the fields of research in biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; biotechnology research; biological research; design of computer-simulated models; computer modeling services in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; providing online non-downloadable proprietary software to evaluate, analyze and collect data for data automation and collection purposes in the fields of scientific research and engineering; providing temporary use of on-line non-downloadable software development tools using artificial intelligence (AI), machine learning, and deep learning 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; computer software platforms using artificial intelligence (AI), machine learning, and deep learning 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.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software for accessing, processing,
compressing, analyzing, organizing, formatting, and
displaying data in the field of environmental conditions,
climate, weather, geography, risk assessment, and insurance;
downloadable computer software and downloadable computer
software applications featuring advanced weather tools
utilizing geospatial imagery, high-tempo spatial resolution,
and high definition weather maps for predicting, analyzing,
and reporting weather, climate changes, and environmental
conditions; downloadable environmental reports in the field
of weather information, weather data analytics, forecasting
weather and climate change on the internet, through online
publishers, by email, and through mobile services;
downloadable software for accessing, displaying, and
analyzing geo-spatial and environmental data, environmental,
geography, and climate analytics and environmental,
geography, and climate related information; downloadable
computer software and downloadable computer software
applications featuring software utilizing geospatial
imagery, high-tempo spatial resolution, and high definition
images from satellites and maps for predicting, analyzing
and reporting changes to weather, geography, and to the
climate and environment; downloadable software for tracking,
measuring, predicting, and reporting on insights about
natural resources, environmental conditions, geography, and
public land usage; computer hardware for collecting data and
images about natural resources, environmental conditions,
geographic, and public land usage; downloadable software
using machine learning for processing, generating,
understanding, recognizing, editing and analyzing data,
images, sound, videos, messages, text, and information;
downloadable computer software for transmitting, processing,
manipulating or analyzing data; downloadable mobile
applications for transmitting, processing, manipulating or
analyzing data; downloadable computer software to enable
access to and provide analysis of geospatial data and
images, satellite images and airborne images; downloadable
software for detecting, identifying, measuring and analyzing
roofs, building structures, property, terrain and other
objects in the nature of structural material and contents of
buildings and land and conditions in the nature of damage
and need for repair or replacement; downloadable software
for use in analysis, predictive modeling, and creating
reports, relating to property damages, loss information,
climate changes, environmental conditions, weather events,
and catastrophes; downloadable software for accessing
information on risk for specific geographic regions of
catastrophic events, weather, climate, and environmental
events, world events, and other potential loss events;
downloadable risk modeling software for analyzing business
and financial risk; downloadable software for analyzing and
reporting climate, environment and disaster risk management;
downloadable software for creating and viewing reports and
maps about changes in environmental conditions and the
climate that have occurred at geographic locations;
downloadable and recorded computer software for accessing
downloadable databases for analyzing risk relating to
weather and other perils. Business research services and business analysis of data in
the field of environment, geography, climate, and weather
conditions and changes; business consulting services in the
field of environment, geography, climate, and weather
conditions and changes; business research and data analysis
services in the field of allocating resources for responses
to natural disasters; business consulting services in the
field of allocating resources for responses to natural
disasters; data processing services in the field of
environmental risk assessment; providing business
information in the field of business sustainability;
analyzing and compiling business data; compiling and
analyzing statistics, data and other sources of information
for business purposes. Telecommunications services, namely, the receiving and
transmitting of voice, data, graphics, images, audio and
video by means of telecommunications networks, wireless
communication networks and the internet; provision of
communications facilities for the transmission of voice,
data, graphics, images, audio and video; provision of online
access to databases allowing users to access, manipulate,
share, and prepare reports relating to geospatial images and
geospatial science; provision of online access to databases
allowing users to access, manipulate, share, and prepare
reports relating to data on weather, environmental
assessments, climate science, natural hazards, weather and
geological event modeling and simulation. Providing temporary use of on-line non-downloadable software
for accessing, processing, compressing, analyzing,
organizing, formatting, and displaying data in the field of
environmental conditions, climate, weather, geography, risk
assessment, and insurance; Platform as a Service (PaaS)
featuring advanced weather tools utilizing geospatial
imagery, high-tempo spatial resolution, and high definition
weather maps for predicting, analyzing, and reporting
weather, climate changes, and environmental conditions;
providing temporary use of on-line non-downloadable software
for accessing, displaying, and analyzing geo-spatial and
environmental data, environmental, geography, and climate
analytics and environmental, geography, and climate related
information; Platform as a Service (PaaS) featuring software
utilizing geospatial imagery, high-tempo spatial resolution,
and high definition images from satellites and maps for
predicting, analyzing and reporting changes to weather,
geography, and to the climate and environment; providing
temporary use of on-line non-downloadable software for
tracking, measuring, predicting, and reporting on insights
about natural resources, environmental conditions,
geography, and public land usage; providing temporary use of
on-line non-downloadable software using machine learning for
processing, generating, understanding, recognizing, editing
and analyzing data, images, sound, videos, messages, text,
and information; providing temporary use of on-line
non-downloadable software for transmitting, processing,
manipulating or analyzing data; Platform as a Service (PaaS)
featuring software to enable access to and provide analysis
of geospatial data and images, satellite images and airborne
images; Platform as a Service (PaaS) featuring software for
detecting, identifying, measuring and analyzing roofs,
building structures, property, terrain and other objects in
the nature of structural material and contents of buildings
and land and conditions in the nature of damage and need for
repair or replacement; providing temporary use of on-line
non-downloadable software for use in analysis, predictive
modeling, and creating reports, relating to property
damages, loss information, climate changes, environmental
conditions, weather events, and catastrophes; providing
temporary use of on-line non-downloadable software for
accessing information on risk for specific geographic
regions of catastrophic events, weather, climate, and
environmental events, world events, and other potential loss
events; providing temporary use of on-line non-downloadable
risk modeling software for analyzing business and financial
risk; providing temporary use of on-line non-downloadable
computer software for analyzing and reporting climate,
environment and disaster risk management; providing
temporary use of on-line non-downloadable software for
creating and viewing reports and maps about changes in
environmental conditions and the climate that have occurred
at geographic locations; providing temporary use of on-line
non-downloadable software for accessing downloadable
databases for analyzing risk relating to weather and other
perils; providing information and analytical reports, via an
interactive website, in the fields of weather, environmental
analysis, and climate science; providing information and
analytical reports, via a database, in the fields of
weather, environmental assessments, climate science, natural
hazards, weather and geological event modeling and
simulation; advanced product research in the field of
weather, environmental analysis, and climate science;
research in the field of weather, environmental analysis,
and climate science; professional consultancy in the field
of environmental conservation and protection; providing
information relating environmental preservation and
conservation issues and initiatives; technological planning
and consulting services in the field of environmental risk
assessment.
71.
AUTOMATIC DETECTION OF GRID-CONNECTED DISTRIBUTED ENERGY RESOURCES
Methods, systems, and apparatus, including computer programs encoded on a storage device, for determining whether a distributed energy resource is connected at a location. Electrical load data is obtained for a location over a time period. The electrical load data is analyzed to determine one or more signals from the electrical load data. The signals are compared to one or more load profiles for the location. Each load profile can indicate one or more baseline electrical patterns for the location. A likelihood that at least one distributed energy resource is in use at the location is determined based on the comparison. In response to determining that the likelihood is more than a threshold, one or more actions are performed.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Scientific research and development; Research and development of technology in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; Research, development and engineering services in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; Design, engineering, research, development and testing services in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; Custom synthesis in the nature of genetic engineering of DNA, biological organisms, cells, viruses and special purpose cells for scientific, engineering, research, medical, agricultural, food, chemical, energy, industrial, and manufacturing use; Consulting services in the fields of research in biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; Biotechnology research; Biological research; Design of computer-simulated models; Computer modeling services in the fields of biology, synthetic biology, pharmaceutical preparations, biotechnology, living systems, renewable materials, chemicals, organisms, and bioprocesses; Data automation and collection service using proprietary software to evaluate, analyze and collect data for the purpose of scientific research and engineering; Providing temporary use of on-line non-downloadable software development tools using artificial intelligence (AI), machine learning, and deep learning 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; Computer software platforms using artificial intelligence (AI), machine learning, and deep learning 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
A computer-implemented method for integrated circuit routing is described. The computer-implemented method comprising receiving a description of interconnected terminals of an integrated circuit with a wiring route electrically coupling the interconnected terminals and configuring a simulated environment defined via a plurality of voxels based on the description. The individual voxels included in the plurality of voxels each correspond to a spatial representation for a corresponding region of a layout associated with the integrated circuit. The computer-implemented method further includes determining local contributions of the individual voxels to a characteristic metric of the integrated circuit based on an electromagnetic simulation of the integrated circuit and revising the wiring route based on the local contributions of the individual voxels.
A system includes a mobile vehicle including a geolocator and an active acoustic source configured to generate acoustic wave energy directed toward a fiber optic network that includes one or more fiber optic cables and a distributed acoustic sensing (DAS) interrogator communicably coupled to the one or more fiber optic cables; and a control system. The control system is configured to perform operations including acquiring a signal from the DAS interrogator in response to the acoustic wave energy generated from the active acoustic energy source during movement of the mobile vehicle on or above the terranean surface; determining a geolocation of the mobile vehicle from the geolocator during or subsequent to acquisition of the signal from the DAS interrogator; and determining a location of the at least one fiber optic cable based on the determined geolocation of the mobile vehicle during acquisition of the signal from the DAS interrogator.
In some embodiments, a computer-implemented method for designing a physical device is provided. A computing system determines whether a feature from a list of features is present in a set of structural parameters by, in response to determining whether a feature presence function indicates that the feature should be included in the set of structural parameters or not, updating the set of structural parameters to include the feature or refraining from updating the set of structural parameters to include the feature, accordingly. The computing system simulates performance of the initial design using the set of structural parameters to determine a performance loss value, determines a structural gradient based on the performance loss value, determines a feature gradient based on the performance loss value, and updates the features in the list of features based on the structural gradient and the feature gradient.
G03F 7/00 - Photomechanical, e.g. photolithographic, production of textured or patterned surfaces, e.g. printed surfacesMaterials therefor, e.g. comprising photoresistsApparatus specially adapted therefor
G05B 19/4097 - Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by using design data to control NC machines, e.g. CAD/CAM
76.
ACTIVE SEISMIC SOURCE GENERATION FOR DISTRIBUTED ACOUSTIC SENSING, GEO-TAGGING, AND SUBSURFACE IMAGING
A system includes a mobile vehicle including a geolocator and an active acoustic source configured to generate acoustic wave energy directed toward a fiber optic network that includes one or more fiber optic cables and a distributed acoustic sensing (DAS) interrogator communicably coupled to the one or more fiber optic cables; and a control system. The control system is configured to perform operations including acquiring a signal from the DAS interrogator in response to the acoustic wave energy generated from the active acoustic energy source during movement of the mobile vehicle on or above the terranean surface; determining a geolocation of the mobile vehicle from the geolocator during or subsequent to acquisition of the signal from the DAS interrogator; and determining a location of the at least one fiber optic cable based on the determined geolocation of the mobile vehicle during acquisition of the signal from the DAS interrogator.
09 - Scientific and electric apparatus and instruments
38 - Telecommunications services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Telecommunication exchangers; telecommunication cables; telecommunication transmitters; electric capacitators for telecommunication apparatus; broadband wireless equipment, namely, telecommunications base station equipment for cellular and fixed networking and communications applications; telecommunications hardware and recorded software for monitoring and alerting remote sensor status via the Internet sold as a unit; lasers for non medical use; laser equipment for non-medical purposes; electronic and optical communications instruments and components, namely, optical transmitters, optical receivers, communication link testers for testing communication links, digital transmitters, optical transceivers, and optical data links; telecommunications equipment, namely, free-space optics transmission systems; downloadable computer software for providing internet and broadband access. Telecommunication services, namely, providing internet access, fiber optic network services, gateway services, routing and junction services, and telecommunication consultation; providing telecommunications connections to the Internet or databases; telecommunication services, namely, providing internet access via free-space optics transmission systems; none of the aforementioned in relation to vehicles, construction equipment and construction machines. Computer technology consulting in the fields of information technology relating to computer network design, computer programming, and global communication computer network design; design for others in the fields of information technology, computer programming, telecommunications and global computer networks; installation and maintenance of Internet access software; software as a service (SAAS) services featuring software for providing internet and broadband access.
The present disclosure relates to a suit with an integrated air supply. The suit includes a body comprising a first body portion and a second body portion, an air supply coupleable to the body, a coupling mechanism coupled to the body and arranged for releasably receiving the air supply. The coupling mechanism is disposed on the first body portion and the second body portion of the suit.
B63C 11/24 - Air supply carried by diver in closed circulation
A41D 13/012 - Professional, industrial or sporting protective garments, e.g. surgeons' gowns or garments protecting against blows or punches for aquatic activities, e.g. with buoyancy aids
This disclosure describes a system and method for a central controller layer to monitor conditions and control operations of an electric grid. The central controller layer communicates with an intermediate controller layer that includes hubs to monitor operations of grid edge devices connected to different regions of the electric grid. The central controller layer obtains, from each hub, sensor data corresponding to measurements performed by the grid edge devices. The central controller layer determines, based on the sensor data and expected grid-wide operations, control strategies with expected electrical operating conditions for the respective region, and provides a respective control strategy to each hub. In response to receiving the respective control strategy for the hub, each hub generates operational parameters for at least one grid edge device that cause a grid edge device to adjust its operation based on the expected amount of power flow for the hub.
Disclosed implementations relate to preserving individuals' semantic privacy while facilitating automation of tasks across a population of individuals. In various implementations, data indicative of an observed set of interactions between a user and a computing device may be recorded and used to simulate multiple different synthetic sets of interactions between the user and the computing device. Each synthetic set may include a variation of the observed set of interactions at a different level of abstraction. User feedback may be obtained about each of the multiple different sets. Based on the user feedback, one of the multiple different synthetic sets of interactions may be selected and used to train a machine learning model.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating synthetic training data representing network disruptions. One of the methods includes obtaining data representing one or more first travel time distributions between at the at least two entities in the supply chain network. Synthetic network disruption data is generated including sampling from one or more second travel time distributions corresponding respectively to one or more simulated network disruptions. A second dataset having the synthetic network disruption data is generated, and a network policy agent is trained using the second dataset.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying wildfire in satellite imagery. In some implementations, a server obtains a satellite image of a geographic region and a date corresponding to when the satellite image was generated. The server determines a number of pixels in the satellite image that are indicated as on fire. The server obtains satellite imagery of the geographic region from before the date. The server generates a statistical distribution from the satellite imagery. The server determines a likelihood that the satellite image illustrates fire based on a comparison of the determined number of pixels in the satellite image that are indicated as on fire to the generated statistical distribution. The server can compare the determined likelihood to a threshold. In response to comparing the determined likelihood to the threshold, the server provides an indication that the satellite image illustrates fire.
Techniques for determining a mineralogy of a portion of a drainage basin include identifying topography data associated with a drainage basin comprising at least one body of water; identifying weather data associated with the drainage basin; identifying first sensor data associated with a first water sensor installed in the drainage basin; identifying second sensor data associated with a second water sensor that is located downstream of the first water sensor in the drainage basin; providing the first sensor data, second sensor data, topography data, and weather data as input to a machine learning algorithm; and determining, by the machine learning algorithm, a mineralogy of a portion of the drainage basin.
Aspects of the disclosure provide for testing of tracking tags. Tracking tags may include circuitry configured to operate in a normal operating mode for sending first beacon signals to enable the tracking of objects, and to operate in a testing mode for sending second beacon signals to enable testing of the tracking tag. A testing system (700) may include a reader (106, 750) including an antenna configured to receive one or more beacon signals. The example system may also include one or more computing devices (710) having one or more processors and being in communication with the reader. The one or more computing devices may also be configured to induce a tracking tag (500, 580, 582, 584) to generate the one or more beacon signals in a testing mode, the one or more beacon signals including an encrypted or unencrypted payload. The system may use the payload to determine whether to mark the tracking tag to be discarded.
G06K 19/07 - Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards with integrated circuit chips
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.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for electric grid modeling and simulation. One of the methods includes, obtaining a model of an electrical power system; executing a simulation of the model including by separately simulating, in parallel, behaviors of the electric power system during each of a consecutive series of time periods to provide individual simulation results for each time period, where the consecutive series of time periods together represent a simulation time frame over which the behaviors of the electric power system are simulated; combining the individual simulation results into a simulation output for the simulation time frame; and providing, for display, the simulation output.
09 - Scientific and electric apparatus and instruments
40 - Treatment of materials; recycling, air and water treatment,
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
(1) Photonic integrated circuits; semiconductor devices; photonic components and systems for use in optical communication networks, namely, optical transceivers; indium phosphide-based photonic components, namely, integrated circuits; optical circuits, namely, integrated circuits; downloadable and recorded operating software for use in photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers; downloadable and recorded software for electromagnetic design, modeling and simulation, of integrated optics and photonic components; fiber optic hardware; electro-optic components; optical transceivers and receivers; metasurface optics; quantum computers; telecommunications hardware; computer chipsets; downloadable and recorded computer software for communication, wireless communication and connectivity; downloadable and recorded firmware for using and controlling wireless broadband communication technology and to enable communication and wireless communication; microprocessors; microprocessor cores; central processing units; converged network interface controllers; integrated circuits; downloadable and recorded software for communication, interoperability and connectivity, and for controlling and using integrated circuits; software contained or embedded in computer hardware for communication, interoperability and connectivity, and for controlling and using integrated circuits. (1) Consulting services in the field of manufacturing process for photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers.
(2) Design, development, and engineering of photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers, antennas, radio-frequency receivers and transmitters; research and engineering services in the field of photonics, integrated photonics design, electronics design, and fiber-optic technology; consulting in the fields of design, development, engineering, and electronic monitoring of photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers, antennas, radio-frequency receivers and transmitters; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and software problems and monitoring technological functions being product testing of photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers, antennas, radio-frequency receivers and transmitters; engineering services; product research and development; development of software for photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers, antennas, radio-frequency receivers and transmitters; quantum computing.
(3) Licensing of intellectual property.
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating alternative networks. One of the methods includes receiving supply chain data representing a first supply chain network having nodes and links, receiving map data, providing the map data and the supply chain data as input to a generative process that is configured to generate one or more second supply chain networks, receiving, as output from the generative process, a second supply chain network, performing a supply chain simulation on the second supply chain network generated by the generative model, and computing a performance metric for the second supply chain network based on performing the simulation.
Provided herein are method of preparing concrete precursor and systems thereof. The methods and systems include contacting recycled concrete aggregates with an acid to produce said concrete precursors.
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.
Aspects of the disclosure provide an optical communications terminal (102, 122) comprising an optical phased array (OP A) photonic integrated chip comprising a plurality of phase shifters arranged in a plurality of segments (502a, 502b, 502c, 502d); one or more additional phase shifters (510a, 510b, 510c), a plurality of switches (506a, 506b, 506c, 506d) corresponding to each of the plurality of segments; and one or more splitters (512a, 512b, 512c). The optical communications terminal further comprising a full array transceiver (514) configured to allow for transmission and receipt of optical communications beams functionality with the plurality of segments; and a plurality of segment transceivers (508a, 508b, 508c, 508d) each associated with one of the plurality of segments.
G02B 6/12 - Light guidesStructural details of arrangements comprising light guides and other optical elements, e.g. couplings of the optical waveguide type of the integrated circuit kind
G02F 1/00 - Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulatingNon-linear optics
92.
LARGE LANGUAGE MODEL INTERFACE FOR SUPPLY CHAIN NETWORKS
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a large language model as a common interface between entities in a supply chain network. One of the methods includes receiving, by a supply chain analysis system, a plurality of messages from entities in a supply chain network having a plurality of entities. Each message is provided to a large language model that is configured to generate modified messages that are in a standardized format, wherein the standardized format includes one or more data elements representing a proposed exchange in the supply chain network. The standardized messages are provided to one or more of the entities in the supply chain network to effectuate a communications interface through the large language model for entities in the supply chain network.
The present disclosure relates to a wearable ultrasound device comprising a flexible body comprising a plurality of layers, a shape sensor integrated into a first layer of the flexible body, and an ultrasound transducer coupled to the shape sensor. The ultrasound transducer is configured for capturing images of a subject, and the shape sensor is configured for determining a location of the ultrasound transducer relative to the flexible body.
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sensor system controlling bubbler. In some implementations, a method includes obtaining sensor data indicating a condition in a vicinity of a fish pen; comparing the sensor data to one or more thresholds; determining the sensor data satisfies the one or more thresholds; generating a signal configured to cause bubbles in the vicinity of the fish pen; and transmitting the signal to a bubble generating system.
A computational platform for generating solid catalysts for depolymerization reactions is described. The platform may include a first generative model to determine synthesizable crystal structures that could be used as solid catalysts for depolymerization. The first generative model may determine synthesizability and/or stability of solid catalysts. The first generative model may take in voxel representations of a crystal structure and then use a variational autoencoder to encode into latent space. The first generative model may also include a property learning component to determine synthesizable crystals in latent space. Candidate materials may then be identified in the latent space and then decoded into a blurred voxel representation. The blurred voxel representation may be transformed to a crystal structure. The platform may include a second generational model for identifying crystal surfaces and/or adsorption sites. Adsorption energies can be predicted and solid catalyst candidates for depolymerization can be identified.
G16C 60/00 - Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
40 - Treatment of materials; recycling, air and water treatment,
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Consulting services in the field of manufacturing process for photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers Photonic integrated circuits; Semiconductor devices; Photonic components and systems for use in optical communication networks, namely, optical transceivers; Indium phosphide-based photonic components, namely, integrated circuits; Optical circuits, namely, integrated circuits; Downloadable and recorded operating software for use in photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers; Downloadable and recorded software for electromagnetic design, modeling and simulation, of integrated optics and photonic components; Fiber optic hardware, namely, fiber optic cables, fiber optic connectors and fiber optic transceivers; Electro-optic components, namely, electro-optic modulators, laser diodes; Optical transceivers and receivers; Metasurface optics, namely, optical lens arrays; Quantum computers; Telecommunications hardware, namely, routers, switches and modems; Photonic integrated chips; Computer chips; Downloadable and recorded computer software for communication between computers over networks, wireless communication and connectivity; Downloadable and recorded firmware for using and controlling wireless broadband communication technology and to enable communication and wireless communication; Microprocessors; Microprocessor cores; Computer central processing units; Converged network interface electronic controllers; Integrated circuits; Downloadable and recorded software for communication, interoperability and connectivity, and for controlling and using integrated circuits; Software contained or embedded in computer hardware for communication, interoperability and connectivity, and for controlling and using integrated circuits Design, development, and engineering of photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers, antennas, radio-frequency receivers and transmitters; Research and engineering services in the field of photonics, integrated photonics design, electronics design, and fiber-optic technology; Consulting services in the fields of design, development, engineering, and electronic monitoring of photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers, antennas, radio-frequency receivers and transmitters; Technical support, namely, troubleshooting and monitoring technological functions of photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers, antennas, radio-frequency receivers and transmitters; Engineering; Product research and development; Development of software for photonic integrated circuits, semiconductors, integrated circuits, fiber optic hardware, electro-optic components, optical transceivers and receivers, antennas, radio-frequency receivers and transmitters; Quantum computing consulting and research services; Quantum computing, namely, providing online non-downloadable cloud-based software for quantum computing Licensing of intellectual property
97.
Systems and methods for designing photonic computational architectures
Methods and systems for designing a photonic computational architecture including a plurality of optical components. At least some of the methods include: defining a loss function within a simulation space composed of a plurality of voxels, the simulation space encompassing the plurality of optical components; defining an initial structure for the photonic computational architecture in the simulation space, at least some of the voxels corresponding to each of the plurality of optical components and having a dimension smaller than an operative wavelength of the computational architecture; determining values for at least one structural parameter and/or at least one functional parameter for each of the plurality of optical components using a numerical solver to solve Maxwell's equations; and defining a final structure of the photonic computational architecture based on the values for the one or more structural and/or functional parameters.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that obtain fish images from a camera device and generate predicted values by providing one or more of the fish images to an end-to-end model. The end-to-end model is trained to estimate weight of fish from the fish images and includes one or more differentiable layers configured to adjust one or more parameters of the end-to-end model. By comparing the predicted values to ground truth data representing weights of one or more fish, one or more parameters of the end-to-end model can be updated based on the comparison of the predicted values.
A computational platform for generating solid catalysts for depolymerization reactions is described. The platform may include a first generative model to determine synthesizable crystal structures that could be used as solid catalysts for depolymerization. The first generative model may determine synthesizability and/or stability of solid catalysts. The first generative model may take in voxel representations of a crystal structure and then use a variational autoencoder to encode into latent space. The first generative model may also include a property learning component to determine synthesizable crystals in latent space. Candidate materials may then be identified in the latent space and then decoded into a blurred voxel representation. The blurred voxel representation may be transformed to a crystal structure. The platform may include a second generational model for identifying crystal surfaces and/or adsorption sites. Adsorption energies can be predicted and solid catalyst candidates for depolymerization can be identified.
Methods, systems, and apparatus, including medium-encoded computer program products, for simulating an electrical power grid. One of the methods includes: receiving data describing an electric circuit of an electrical power grid, the electric circuit having nodes and branches between the nodes; generating a representation of the electrical power grid in a state-space form, the representation including one or more network equations that include a plurality of state variables each representing a respective independent storage element of in the electric circuit; generating, based on the representation of the electrical power grid in a state-space form, a model of the electrical power grid; and executing a simulation of electric power grid behaviors by using the model.
G06F 30/367 - Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
