Systems, methods, and other embodiments described herein relate to improving view synthesis of humans using a generalizable approach without test-time optimization. In one embodiment, a method includes acquiring target information and sensor data of a surrounding environment that includes a person. The target information defines a target space that includes a target pose and a target camera view. The method includes extracting appearance features of the person from the sensor data. The method includes mapping the appearance features into the target space, including aggregating the appearance features into an aggregated feature map. The method includes rendering the target camera view of the person in the target pose according to the aggregated feature map. The method includes providing the target camera view.
G06T 11/60 - Editing figures and textCombining figures or text
G06T 7/70 - Determining position or orientation of objects or cameras
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/771 - Feature selection, e.g. selecting representative features from a multi-dimensional feature space
2.
GROUNDED HUMAN MOTION GENERATION WITH OPEN VOCABULARY SCENE-AND-TEXT CONTEXTS
In an embodiment, a method for human motion generation with open vocabulary scene-and-text context is provided. The method involves receiving an input that includes a 3D point cloud of a scene containing a goal object with a natural language instruction related to the goal object. A text tokenizer is applied to the text to obtain tokenized text, and a text encoder from a pre-trained vision-language model generates text features. First scene features are generated by applying a pre-trained U-Net scene encoder to the 3D point cloud, which are down sampled to obtain second scene features. A conditional latent is obtained by fusing the second scene features with the text features. A conditional motion generator predicts motion parameters for a parametric human body model over a specific time duration. Finally, 3D human meshes for multiple motion frames are obtained based on the motion parameters and the parametric human body model.
Systems and processes described herein are for monitoring data records and predicting changes to coded values in the data records. More specifically, this disclosure relates to predicting and potentially preventing anomalies represented in data records by predicting values of entries to be added to the data records and causing a prophylactic response to the predicted anomaly to prevent the anomaly from occurring.
Provided herein is a delivery system and method for delivering a depot within a submucosal pocket comprising a housing including a central opening and a fluidic connector configured to secure to a fluidic supply, an extension configured to at least partially collapse within the central opening of the housing, a supply conduit configured to extend through the housing and the extension, the supply conduit configured to deliver a lift solution configured to form a submucosal pocket within a subject, and a depot conduit configured to extend through the housing and the extension and to deposit a depot within the submucosal pocket, where when the extension is configured to at least partially collapse within the housing, whereby at least one of the supply conduit or depot conduit, or both advance distally past a distal end of an endoscope.
A method for 3D object shape completion is described. The method includes unprojecting an encoded image feature to obtain an octree feature F. The method also includes generating, by a latent 3D masked autoencoder (MAE) encoder using an input encoded octree feature F, an output latent octree feature FL. The method further includes computing, by a latent 3D MAE decoder using the output latent octree FL and octree mask tokens T, a latent mixed octree feature FML. The method also includes predicting, by an octree decoder from the latent mixed octree feature FML, a completed 3D shape.
Provided herein is a delivery system and method for delivering a depot within a submucosal pocket comprising a housing including a central opening and a fluidic connector configured to secure to a fluidic supply, an extension configured to at least partially collapse within the central opening of the housing, a supply conduit configured to extend through the housing and the extension, the supply conduit configured to deliver a lift solution configured to form a submucosal pocket within a subject, and a depot conduit configured to extend through the housing and the extension and to deposit a depot within the submucosal pocket, where when the extension is configured to at least partially collapse within the housing, whereby at least one of the supply conduit or depot conduit, or both advance distally past a distal end of an endoscope.
A61B 1/00 - Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopesIlluminating arrangements therefor
A61B 17/00 - Surgical instruments, devices or methods
A61M 37/00 - Other apparatus for introducing media into the bodyPercutany, i.e. introducing medicines into the body by diffusion through the skin
7.
SYSTEM AND METHOD FOR SCENE RECTIFICATION VIA HOMOGRAPHY ESTIMATION
Disclosed herein is a system and method for performing pose-correction on images containing objects within a scene, or the entire scene, to compensate for off-centered camera views. The system and method generate a more frontal view of the object or scene by applying planar homography by identifying corner endpoints of the object or the scene and repositioning the corner endpoints to provide a more frontal view. The pose-corrected scene may then be input to an object detector to determine a location of a bounding box of an object-of-interest which would be more accurate than a bounding box from the original off-centered image.
G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
G06V 10/24 - Aligning, centring, orientation detection or correction of the image
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/56 - Extraction of image or video features relating to colour
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
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 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
Disclosed herein a method and process to generate a 3D model for objects based on one shot approach using a single 2D image of the object. The process comprises the steps of classifying the image into object shapes, segment the product outline from the image with the texture information, generating a 3D mesh model relevant to the classified shape and rendering the texture onto the 3D model. The model may then be manipulated to create and export different images at different viewpoints of the object.
Systems and processes described herein are for forming a material by applying a magnetic material and a boundary material to the substrate; and while applying the magnetic material to the substrate and the boundary material to the substrate, applying a bias voltage to at least the boundary material to form a two-dimensional material between portions of the magnetic material. The material includes the magnetic material and a two-dimensional material confirming to the magnetic material or other material.
G11B 5/66 - Record carriers characterised by the selection of the material comprising only the magnetic material without bonding agent the record carriers consisting of several layers
G11B 5/851 - Coating a support with a magnetic layer by sputtering
H01F 1/01 - Magnets or magnetic bodies characterised by the magnetic materials thereforSelection of materials for their magnetic properties of inorganic materials
10.
COMPUTATIONAL APPROACH/METHODS TO LEARN A JOINT NEUROCOGNITIVE DICTIONARY APPLICABLE IN REAL-LIFE USING UNSCRIPTED REAL-WORLD BRAIN-BEHAVIOR RECORDINGS
UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION (USA)
CARNEGIE MELLON UNIVERSITY (USA)
Inventor
Alreja, Arish
Ghuman, Avniel Singh
Abstract
The present invention relates to a method for decoding the neural representation of facial expressions and movements during unscripted, real-world interactions. Using simultaneous mobile eye-tracking and intracranial recordings from humans in natural activities with friends, family, clinicians, and researchers, the invention employs a bidirectional model to reconstruct brain activity and fixated faces.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
A61N 1/05 - Electrodes for implantation or insertion into the body, e.g. heart electrode
A61N 1/36 - Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
A61N 1/40 - Applying electric fields by inductive or capacitive coupling
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 40/67 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
University of Pittsburgh - Of the Commonwealth System of Higher Education (USA)
Carnegie Mellon University (USA)
Inventor
Falo, Jr., Louis D.
Erdos, Geza
Ozdoganlar, O. Burak
Abstract
A method of forming a microneedle array can include forming a sheet of material having a plurality of layers and micromilling the sheet of material to form a microneedle array. At least one of the plurality of layers can include a bioactive component, and the microneedle array can include a base portion and plurality of microneedles extending from the base portion.
Systems and processes described herein are for forming a material by applying a magnetic material and a boundary material to the substrate; and while applying the magnetic material to the substrate and the boundary material to the substrate, applying a bias voltage to at least the boundary material to form a two-dimensional material between portions of the magnetic material. The material includes the magnetic material and a two-dimensional material confirming to the magnetic material or other material.
Disclosed herein is a novel system and method to reduce theft and errors in the self-checkout process. The system and methods disclosed herein reconcile purchased products with receipts for those products by corresponding, analyzing, and/or comparing information on self-checkout transaction receipts with captured images of purchase products from camera feeds to ensure that all products purchased via a self-checkout system have been properly scanned and accounted for.
A method of generating data for machine learning (ML) models includes receiving, from one or more sensors, a sequence of samples that includes time-stamp information, extracting from the sequence of samples a snippet of a pre-defined length to generate a training dataset that includes a target sample derived from the sequence of samples, fine-tuning a pre-trained diffusion model to condition based on a context sample associated with the sequence of samples and corresponding time-stamp information, wherein the context sample associated with the sequence of samples is less than all samples of the sequence of samples, and in response to the fine-tuning the pre-trained diffusion model to reach convergence, outputting a final-predicted sample associated with the target sample, wherein the final-predicted sample was not in the sequence of samples.
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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 20/40 - ScenesScene-specific elements in video content
15.
SYSTEM AND METHOD FOR SHRINKAGE DETECTION AND PREVENTION IN SELF-CHECKOUT SYSTEMS
Disclosed herein is a novel system and method to reduce theft and errors in the self-checkout process. The system and methods disclosed herein reconcile purchased products with receipts for those products by corresponding, analyzing, and/or comparing information on self-checkout transaction receipts with captured images of purchase products from camera feeds to ensure that all products purchased via a self-checkout system have been properly scanned and accounted for.
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
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 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
G06V 10/94 - Hardware or software architectures specially adapted for image or video understanding
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
An Internet of Things (IoT) resource remotely senses data about a user. A computing device of the user comprises a personal privacy app (“PPA”) that: receives data about the IoT resource, wherein the data about the IoT resource comprises available user-specific privacy requests related to data practices of the IoT resource; communicates a privacy request for the user with respect to the IoT resource, wherein the privacy request is one of the available user-specific privacy requests and wherein the privacy request communicated by the PPA is based on the data received about the IoT resource; and in response to a query related to the privacy request, causes electronic documentation to be transmitted that demonstrates that the user qualifies to submit the privacy request, such that the privacy request is applied to data collected about the user by the IoT resource.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION (USA)
Inventor
Pfenning, Andreas R.
Seal, Rebecca
Noh, Myung-Chul
Arokiaraj, Cynthia Mary
Lopes, Bettega Costa
Phan, Badoi Nguyen
Leone, Michael
Abstract
Methods and materials for expressing one or more desired polypeptides in a specific type, subtype, or population of cells are provided herein. For example, this document provides nucleic acids that contain a cell population-specific RE coupled to a transgene, as well as methods for using such nucleic acids to drive expression of transgenes in selected populations of neurons within the spinal cord dorsal horn.
C12N 15/113 - Non-coding nucleic acids modulating the expression of genes, e.g. antisense oligonucleotides
A61K 38/17 - Peptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from animalsPeptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof from humans
UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION (USA)
Inventor
Pfenning, Andreas R.
Thomas Byrne, Leah Caroline
Stauffer, William Richard
Abstract
Methods and materials for expressing one or more desired polypeptides in a specific type of cell are provided herein. For example, this document provides nucleic acids that contain a cell type-specific RE coupled to a transgene, as well as methods for using such nucleic acids to drive expression of transgenes in specific types of neural cells.
Systems, methods, and other embodiments described herein relate to improving radar data. In one embodiment, a method includes, responsive to acquiring radar data from a radar sensor, transforming the radar data into improved data according to a super-resolution model. The method includes converting the improved data into a range-azimuth-Doppler map. The method includes generating a high-resolution map from the range-azimuth-Doppler map by applying the super-resolution model to the range-azimuth-Doppler map. The method includes providing the high-resolution map.
An oxygenation system producing oxygen for therapeutic cells housed in an implanted or external device, the oxygenation system comprising a first electrode comprising a first material layer stack and a catalyst film of a high surface area or catalyst particles on which at least one catalyst for electrocatalytic oxygen evolution reaction is disposed; and a second electrode comprising a second material stack.
C25B 11/081 - Electrodes formed of electrocatalysts on a substrate or carrier characterised by the electrocatalysts material consisting of a single catalytic element or catalytic compound the element being a noble metal
21.
IMPLEMENTING A PRIVACY INFRASTRUCTURE FOR THE INTERNET OF THINGS
An Internet of Things (IoT) resource remotely senses data about a user. A computing device of the user comprises a personal privacy app (“PPA”) that: receives data about the IoT resource, wherein the data about the IoT resource comprises available user-specific privacy requests related to data practices of the IoT resource; communicates a privacy request for the user with respect to the IoT resource, wherein the privacy request is one of the available user-specific privacy requests and wherein the privacy request communicated by the PPA is based on the data received about the IoT resource; and in response to a query related to the privacy request, causes electronic documentation to be transmitted that demonstrates that the user qualifies to submit the privacy request, such that the privacy request is applied to data collected about the user by the IoT resource.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Systems, methods, and other embodiments described herein relate to generating images and sketches iteratively using models guided by sketches and text for a design. In one embodiment, a method includes generating an image from a sketched stroke and text inputted to a learning model. The method also includes segmenting the image to identify boundary information with a segmentation model and extracting edge information from the image using an edge model. The method also includes rendering an estimated sketch of the image by computing an intersection between the boundary information and the edge information.
Systems, methods, and other embodiments described herein relate to creating a realistic scene including a generative drawing using a learning model and image manipulation. In one embodiment, a method includes generating a drawing from a drawn line and text by a machine learning (ML) model. The model also includes predicting a realistic prompt and a scaling amount about the drawing using a language model and estimating a depth map of the drawing using a depth model according to the scaling amount. The model also includes rendering the drawing within a realistic scene by an outpainting model using the realistic prompt and the depth map.
A processor-implemented method includes dividing an input image captured by an image sensor into a plurality of regions, determining either one or both of a binning size and a gain value of the image sensor corresponding to each of the divided regions, based on a light level of the input image, performing binning by applying the either one or both of the binning size and the gain value, for each of the divided regions, and outputting a resulting image generated by performing image signal processing (ISP) on a result of the performing of the binning.
H04N 25/46 - Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by combining or binning pixels
H04N 25/60 - Noise processing, e.g. detecting, correcting, reducing or removing noise
25.
MULTI-FLASH STEREO CAMERA FOR PHOTO-REALISTIC CAPTURE OF SMALL SCENES
A method may include receiving a plurality of pairs of images of a scene captured by a camera, receiving a pose of the camera when each of the pairs of images of the scene were captured, determining depth values of the scene for each pair of images, and training a neural network to receive a pose of a camera with respect to the scene, and output a geometry of the scene and an appearance of the scene with respect to the pose. The plurality of pairs of images, the poses of the camera, and the depth values may be used as training data to train the neural network. The neural network may include a first component that receives the pose as input, and outputs the geometry of the scene and an embedding, and a second component that receives the embedding as input, and outputs the appearance of the scene.
Disclosed herein is a novel system and method to reduce theft and errors in the self-checkout process. The system and methods disclosed herein reconcile purchased products with receipts for those products by corresponding, analyzing, and/or comparing information on self-checkout transaction receipts with captured images of purchase products from camera feeds to ensure that all products purchased via a self-checkout system have been properly accounts for and paid for.
Disclosed herein is an energy-minimal coarse-grain reconfigurable fabric that executes in a spatial vector-dataflow fashion, mapping a dataflow graph spatially across a fabric of processing elements, applying the same dataflow graph to many input data values, and routing intermediate values directly from producers to consumers. The spatial vector-dataflow minimizes instruction and data-movement energy and also eliminates unnecessary a switching activity because operations do not share execution hardware.
Disclosed herein is a novel pseudoinverse estimation system and method that adapts regression techniques to directly estimate one or more pseudoinverses of a neuromodulation pathway, thereby circumventing the need of inverting an estimated forward model. This is accomplished by the learning of a restricted domain that restricts the potential stimuli required to produce a desired neuro response.
Disclosed herein is a system and method implementing a processing and detection pipeline to detect spreading depolarization waves in a brain occurring after a traumatic brain injury. The method relies solely on EEG data collected by a standard EEG machine.
A system, method, and computer program product for predicting properties of electrolytes in a liquid electrolyte mixture independent of empirical fitting from experimentally measured properties. An example aspect is configured to: validate at least one molecular force field, prepare a liquid electrolyte mixture corresponding to the at least one molecular force field, perform molecular dynamic simulations of the electrolyte mixture, obtain simulated molecular dynamic trajectories from the molecular dynamic simulations, and perform molecular structure analysis to predict ionic conductivity, ion pairing properties, solubility properties, and/or other thermodynamic properties of the liquid electrolyte mixture.
G16C 20/30 - Prediction of properties of chemical compounds, compositions or mixtures
G16C 10/00 - Computational theoretical chemistry, i.e. ICT specially adapted for theoretical aspects of quantum chemistry, molecular mechanics, molecular dynamics or the like
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
31.
3D BIOPRINTED HYDROGEL MICROFLUIDIC SYSTEMS AND PERFUSION BIOREACTORS FOR ENGINEERING VASCULARIZED TISSUE CONSTRUCTS
3D bioprinted hydrogel microfluidic systems and perfusion bioreactors for engineering vascularized tissue constructs are provided. An example of an internally perfusable scaffold comprises an exterior surface, a body, a first port, and an interior wall. The first port comprises a first coupling feature configured to engage a fitting and form a fluid tight seal therewith. The first interior wall defines a fluid cavity extending into the body from the first port. The scaffold comprises a hydrogel.
Ionizable lipids, nanoparticles containing the ionizable lipids, compositions containing the nanoparticles, and methods for using the ionizable lipids, nanoparticles, and compositions to deliver therapeutic agents (e.g., mRNAs) to particular cells, tissues, or organs (e.g., the lungs) are provided herein.
A61K 47/54 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the non-active ingredient being a modifying agent the modifying agent being an organic compound
A61K 47/69 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the conjugate being characterised by physical or galenical forms, e.g. emulsion, particle, inclusion complex, stent or kit
A61K 9/1271 - Non-conventional liposomes, e.g. PEGylated liposomes or liposomes coated or grafted with polymers
A61K 9/1272 - Non-conventional liposomes, e.g. PEGylated liposomes or liposomes coated or grafted with polymers comprising non-phosphatidyl surfactants as bilayer-forming substances, e.g. cationic lipids or non-phosphatidyl liposomes coated or grafted with polymers
C12N 15/88 - Introduction of foreign genetic material using processes not otherwise provided for, e.g. co-transformation using microencapsulation, e.g. using liposome vesicle
33.
MILLIMETER-SCALE WIRELESS IMPLANTABLE AUTONOMOUS OXYGENATOR PLATFORM AND APPLICATIONS THEREOF
An oxygenation system producing oxygen for therapeutic cells housed in an implanted or external system housing the therapeutic cells. The oxygenation system comprises a mm-scale oxygenator having at least one metal electrode; a miniaturized application-specific integrated circuit (ASIC) controlling an oxygen production by the oxygenator; a miniaturized communication unit; and a miniaturized power unit.
C25B 1/04 - Hydrogen or oxygen by electrolysis of water
C25B 11/077 - Electrodes formed of electrocatalysts on a substrate or carrier characterised by the electrocatalysts material consisting of a single catalytic element or catalytic compound the compound being a non-noble metal oxide
A method for manufacturing a structure having at least one microscale feature includes mixing a powdered material with a binder to yield a slurry, shaping the slurry to yield a green device, and sintering the green device to yield the structure.
H05K 3/10 - Apparatus or processes for manufacturing printed circuits in which conductive material is applied to the insulating support in such a manner as to form the desired conductive pattern
B22F 1/05 - Metallic powder characterised by the size or surface area of the particles
B22F 3/16 - Both compacting and sintering in successive or repeated steps
B28B 1/20 - Producing shaped articles from the material by centrifugal or rotational casting
Provided is a system and method for holographic light curtains. A system includes a holographic projector configured to project a holographic image, a rolling-shutter camera arranged to receive light from the holographic image, and at least one processor in communication with the rolling-shutter camera, the at least one processor programmed or configured to: determine an intensity of the light received from the holographic image; and detect a disturbance in a space of the holographic image based on a change in the intensity.
G03H 1/00 - Holographic processes or apparatus using light, infrared, or ultraviolet waves for obtaining holograms or for obtaining an image from themDetails peculiar thereto
G03H 1/02 - Holographic processes or apparatus using light, infrared, or ultraviolet waves for obtaining holograms or for obtaining an image from themDetails peculiar thereto Details
This document describes a process of producing gel microparticles, which are consistent in size and morphology. Through the process of coacervation, large volumes of gel microparticle slurry can be produced by scaling up reactor vessel size. Particles can be repeatedly dehydrated and rehydrated in accordance to their environment, allowing for the storage of particles in a non-solvent such as ethanol. Gel slurries exhibit a Bingham plastic behavior in which the slurry behaves as a solid at shear stresses that are below a critical value. Upon reaching the critical shear stress, the slurry undergoes a rapid decrease in viscosity and behaves as a liquid. The rheological behavior of these slurries can be adjusted by changing the compaction processes such as centrifugation force to alter the yield-stress. The narrower distribution and reduced size of these particles allows for an increase in FRESH printing fidelity.
A three-phase diagnosis methodology capable of effectively diagnosing and classifying multiple defects in integrated circuits comprises a first phase identifying a defect that resembles traditional fault models, and second and third phases that utilize the X-fault model and machine learning to identify correct candidates.
Disclosed herein is a method for fabricating a nanowire array on an uneven or curved surface. A pliable, porous scaffold is used to hold a liquid electrolyte, creating s semi-solid electrolyte that is used to transfer pressure to a template disposed on the target surface to cause the template to conform to and bond with the target surface to substantially eliminate the gap therebetween, such that a robust and controllable growth of the nanowire array can be realized.
A wearable, low power, compact ultrasonic haptic device that focuses ultrasound at or below the skin's surface using a piezocomposite transducer consisting multiple arrayed acoustic pixels, each acoustic pixel comprising an array of piezocomposite pillars separated by an epoxy and topped by a metal electrode. The high efficiency of the piezocomposite transducer facilitates sufficient production of ultrasonic energy directed at a focal point at or below the surface the skin to stimulate a tactile sensation.
An aquatic vessel, illustratively a pontoon boat including a thruster system is disclosed. The aquatic vessel executes a process to automatically position the aquatic vessel relative to a target location such as a mooring implement. Exemplary mooring implements include a dock, a slip, or a lift.
Disclosed herein is a co-designed compiler and CGRA architecture that achieves both high programmability and extreme energy efficiency. The architecture includes a rich set of control-flow operators that support arbitrary control flow and memory access on the CGRA fabric. The architecture is able to realize both energy and area savings over prior art implementations by offloading most control operations into a programmable on-chip network where they can re-use existing network switches.
Disclosed herein is a cochlear implant surgery simulator and training system. The system comprises a 3D model of a scala tympani upon which a surgeon performs practice insertions an the electrode array of a cochlear implant, wherein the electrode array is instrumented with one or more thin-film sensors disposed along a length of the electrode array, enabling real-time collection of force and position data. The system further comprises a feedback system for analyzing data collected from the instrumented electrode array and deriving scoring metrics regarding the surgeon's insertion technique.
A mobile testing and evaluation vehicle can include a body and a mobility feature disposed on the body, where the mobility feature is configured to move the body with respect to a zone of interest. The mobile testing and evaluation vehicle can also include a sensor device configured to obtain a measurement of a parameter associated with a sample in the zone of interest. The mobile testing and evaluation vehicle can further include a controller that is configured to receive the measurement, evaluate the sample based on the measurement, and evaluate the zone of interest based on evaluating the sample.
Described herein are methods, devices, materials, and systems for extracting target materials from iron-rich feedstocks. The iron-rich feedstock may be red mud, a natural occurring mineral, and/or a waste stream. The target materials may include a main constituent of the feedstock, a rare earth element, a precious metal, and/or a platinum group element. The invention may use a combination of electrochemical reactions and physical separation methods.
Disclosed herein is a novel design of an instrumented cochlear implant, wherein the electrode array portion of the implant is provided with a microfabricated thin-film sensing array comprising one or more sensors to detect various features of the electrode array during insertion and to provide feedback to the surgeon during implantation. The sensing array collects intraoperative information on the state of the electrode array during insertion.
A method, system, and computer program product for designing reconfigurable kinematic devices. An example aspect is configured to: model two rigid stages of the device, assign at least one degree of freedom to at least one kinematic mode of the device; design at least one flexural rod; place at least one tunable flexure; assign a thickness to the at least one flexural rod; add mechanical details; and modularize the device for printing. A kinematic device configured to provide haptic feedback or motion control having at least two rigid stages, at least one kinematic mode, at least one flexural rod, and at least one tunable flexure.
Disclosed herein is a novel method for improving transductive fine-tuning for few-shot learning using margin-based uncertainty weighting and probability regularization. Margin-based uncertainty is designed to assign low loss weights for wrongly predicted samples and high loss weights for the correct ones. Probability regularization provides for the probability of each testing sample being adjusted by a scale vector, which quantifies the difference between the class marginal distribution and the uniform.
A wearable, low power, compact ultrasonic haptic device that focuses ultrasound at or below the skin's surface using a piezocomposite transducer consisting multiple arrayed acoustic pixels, each acoustic pixel comprising an array of piezocomposite pillars separated by an epoxy and topped by a metal electrode. The high efficiency of the piezocomposite transducer facilitates sufficient production of ultrasonic energy directed at a focal point at or below the surface the skin to stimulate a tactile sensation.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
B06B 1/06 - Processes or apparatus for generating mechanical vibrations of infrasonic, sonic or ultrasonic frequency making use of electrical energy operating with piezoelectric effect or with electrostriction
G06F 3/041 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
49.
SYSTEM AND METHOD FOR DETERMINING A POSE OF A COCHLEAR IMPLANT
Disclosed herein is a system for analyzing data extracted from an instrumented cochlear implant, wherein the electrode array portion of the implant is provided with a microfabricated thin-film sensing array comprising one or more sensors to detect various features of the electrode array during insertion and to provide feedback to the surgeon during implantation. Preferred embodiments of the system utilize one or more trained machine learning models to extract features from the raw data received from the sensing array and can perform a pose estimation of the electrode array and recommend next surgical actions to increase the probability of a positive clinical outcome.
Disclosed herein is an artificial intelligence-based system and method for detecting possible danger in a scene contain one or more people. Individual people are detected and it is determined if one of the person's limbs is in a threatening position and if the hand of the person is holding a weapon. The system uses neural networks to detect people and weapons and classifiers to determine a probability of danger, based on the evaluation of the position and state of the limbs of the person.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06T 7/70 - Determining position or orientation of objects or cameras
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
51.
SYSTEM AND METHOD FOR MULTIVIEW PRODUCT DETECTION AND RECOGNITION
Disclosed herein is a system and method for implementing object detection and identification, regardless of the orientation of the object. The product detection and recognition method and system disclosed herein comprises capturing views of each object from different angles from a plurality of cameras and fusing the result of a matching process to identify the object as one of a plurality of objects enrolled in an object database.
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 10/12 - Details of acquisition arrangementsConstructional details thereof
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
Disclosed herein is a system and method for increasing the confidence of a match between a test image and an image stored in a library database. One or more transformations are performed on the test image to generate pose-altered images. Features are then extracted from the pose-altered image(s) and, optionally, the test image, and matched with images in the database. The scores for the subsequent matchings can be aggregated to determine an overall probability of a match between the test image in an image in the library database.
G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
G06V 10/24 - Aligning, centring, orientation detection or correction of the image
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/56 - Extraction of image or video features relating to colour
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
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 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
A method and apparatus for degrading a hypodermal tissue scaffold involves exposing the scaffold to a low-intensity focused ultrasonic beam such as to burst gas vesicles trapped in the silk fibroin from which scaffold is constructed. The rate of degradation van be controlled using ultrasonic beams of varying intensities. In one embodiment, the ultrasonic beams are administered trans-dermally to a hypodermal scaffold.
Stretchable and flexible thermoelectric devices may generally include a substrate having an array of semiconductors in electrical communication via a plurality of liquid metal interconnects, and coated on at least a portion thereof with opposing liquid crystal elastomer layers. The liquid crystal elastomer layers may be reaction products of a reaction mixture of a mesogenic group, a spacer, a crosslinker, and a photoinitiator. The liquid crystal elastomer layers may alternately heat and cool to achieve cyclical bending actuation when voltage is applied to the thermoelectric device. Methods of making and using the thermoelectric devices are also described.
Provided herein are devices and dosage forms useful in delivering macromolecular active ingredients or drugs, such as proteins, peptides and nucleic acids, through epithelial membranes, such as intestinal epithelium. Also provided are trans-epithelial drug delivery methods and methods of treatment of diabetes or insulin resistance, or to induce weight loss.
A liquid-infused composite comprising a thermally conductive and micro- or nano-structured scaffold infused with an effective amount of thermal bridge liquid, with the scaffold primarily comprising a first metal, having a micro- or nano-structure, being capable of holding the thermal bridge liquid internally, and having a self-supporting interconnected network structure. The composite allows easy pre-packaging, offers high thermal performance, reworkability, and reliability, and may be used for thermal interface cooling in data centers, GPU/CPU systems, solid-state lasers, thermoelectric modules, LEDs, etc.
Disclosed herein is a method for performing top-down design for optimizing synthesizable FPGA fabrics which eliminates the need for floorplanning and manual buffering by providing a global timing view of the FPGA fabric to the electronic design automation (EDA) tools. This is accomplished by providing the EDA tools with a global timing view spanning multiple tiles. The method restructures the switch-box muliplexers in a unique way to enable the use of powerful static timing analysis (STA) exceptions supported by modern EDA tools to work around the problem of combinational loops and long false paths created by the interconnect mesh in the FPGA fabric.
Disclosed herein is a multi-supervised deep framework that can automatically detect, segment, and classify abnormal cervical cells. The multi-supervised framework has semi-supervised, weakly-supervised and unsupervised modes which are effective in detecting cervical cells and classifying the cells as being normal or abnormal. The various modes address the situation in which labelled training data is sparse compared to unlabeled training data.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
Disclosed herein are devices comprising stretchable interdigitated electrode arrays and methods for fabricating the devices. The devices are capable of acting as elongation sensors by sensing a change in the capacitance of the device as the distance between the interdigitated fingers changes when the device is elongated or compressed. The device may be coupled to other devices such as to be able to sense elongation or compression of the coupled device. The interdigitated fingers of the device are supported by a substrate and may be fabricated using traditional microfabrication techniques.
B81B 3/00 - Devices comprising flexible or deformable elements, e.g. comprising elastic tongues or membranes
B81C 1/00 - Manufacture or treatment of devices or systems in or on a substrate
G01B 7/16 - Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
60.
MONOTONIC AMPLITUDE PULSE TRAINS FOR NON-INVASIVE NEUROSTIMULATION
A method of delivering a non-invasive neurostimulation using a Monotonic Amplitude Pulse Train is more charge-efficient than using conventional, uniform waveforms. Monotonic Amplitude Pulse Trains optimize the amplitudes of individual pulses in a train to reduce the total energy required to provide neural stimulation by as much as 50%.
Disclosed herein is a multi-supervised deep framework that can automatically detect, segment, and classify abnormal cervical cells. The multi-supervised framework has semi-supervised, weakly-supervised and unsupervised modes which are effective in detecting cervical cells and classifying the cells as being normal or abnormal. The various modes address the situation in which labelled training data is sparse compared to unlabeled training data.
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 10/766 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
Disclosed herein is a framework for modeling the global floorplanning problem as a semi-definite programming (SDP) problem with an inner product between the target matrix and a direction matrix replacing the rank constraint. The framework is global optimal if an appropriate direction matrix is chosen, which is calculated using a convex iteration algorithm that decomposes the problem into two SDP sub-problems.
A low-cost and highly controllable roll-to-roll templated deposition method for fabricating a nanostructured film comprising: creating a stacked structure comprising a conductive substrate, a porous template disposed on the substrate, an ion-conductive layer formed of a porous scaffold or a polymer gel containing electrolytes disposed on the template, and an anode disposed on the ion-conductive layer; providing rollers on the anode; applying pressure to the stacked structure via the rollers so that the first porous template conforms and stays attached to the substrate; applying galvanic potential between the metal anode and the conductive substrate to grow a nanostructure from the substrate into the porous template by electrochemical deposition; and removing the porous template by chemical dissolution or chemical etching to obtain the nanostructured film. Tube rollers comprising, radially, tubes, electrolytes, and anodes may replace the rollers, electrolytes, and anodes. The nanostructured film may also grow on both sides of the substrate.
B29C 59/04 - Surface shaping, e.g. embossingApparatus therefor by mechanical means, e.g. pressing using rollers or endless belts
B05D 1/28 - Processes for applying liquids or other fluent materials performed by transfer from the surfaces of elements carrying the liquid or other fluent material, e.g. brushes, pads, rollers
B05B 13/04 - Means for supporting workArrangement or mounting of spray headsAdaptation or arrangement of means for feeding work the spray heads being moved during operation
64.
SYSTEMS AND METHODS FOR GENERATING DESIGNS USING ANALOGICS WITH LEARNING MODELS
Systems, methods, and other embodiments described herein relate to generating designs using learning models for analogics that process text and sketch-based inputs. In one embodiment, a method includes estimating analogical suggestions using a transformer model for a text prompt having design parameters. The method also includes generating an image using a learning model for an expression selected from the analogical suggestions and a sketched stroke inputted. The method also includes manipulating a modified sketch by the learning model and the modified sketch is derived from a sketched conversion of the image by an edge model.
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
65.
ENHANCED INTERACTIVE WRITING TOOL THAT ALLOWS WRITERS TO DRAFT AND REVISE A TEXT AUTHENTICALLY AND EFFICIENTLY USING A LARGE LANGUAGE MODEL WHILE REDUCING ACADEMIC MISCONDUCT
The present invention relates to a method and system for generating coherent Al generated text from text segments using an interactive generative artificial intelligence software whereby text segments are concatenated to predefined natural language sentences to generate coherent Al generated text from the selected text without adding new ideas. The Al generated text can be traced back to the original text segment and the quality of the Al generated text can be rated.
Provided is a system, method, and device for manufacturing. A manufacturing device includes at least one sensor, at least one end-effector member configured to add and/or subtract material to manufacture an object, and at least one computing device in communication with the at least one sensor, and a control system for the at least one end-effector member, the at least one computing device configured to scan each layer of a plurality of layers of an object manufactured by the end-effector member and modify at least one layer of the plurality of layers based on comparing at least one scan of the at least one layer or at least one previous layer to a 3D representation of the at least one layer or the at least one previous layer.
Various implementations disclosed herein include devices, systems, and methods that predict a face configuration or hand pose of a user. For example, a device may include a structure and one or more antennas positioned on a portion of the structure. The device is worn on a head of a user. An associated process may be enabled to interpret data from the one or more antennas to discriminate deformation of a tissue geometry of at least one body portion of a user when the device is worn on the head of the user. The data from the one or more antennas may be associated with one or more impedance characteristics.
Provided is a system and method for pipe monitoring. The system includes a sensor arrangement comprising a visual sensor, an inertial sensor, and a laser projector, and at least one processor configured to: project a laser on an inner surface of a pipe with the laser projector; emit light with a light-emitting device on the inner surface of the pipe; capture a plurality of frames of the inner surface of the pipe with the visual sensor, wherein at least a subset of frames of the plurality of frames is captured while the laser is projected on the inner surface, and wherein the at least a subset of frames or a different subset of frames is captured while the light illuminates the inner surface; and generate a 3D reconstruction of the inner surface of the pipe based on the plurality of frames.
Various implementations disclosed herein include devices, systems, and methods that predict a face configuration or hand pose of a user. For example, a device may include a structure and one or more antennas positioned on a portion of the structure. The device is worn on a head of a user. An associated process may be enabled to interpret data from the one or more antennas to discriminate deformation of a tissue geometry of at least one body portion of a user when the device is worn on the head of the user. The data from the one or more antennas may be associated with one or more impedance characteristics.
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
H01Q 1/27 - Adaptation for use in or on movable bodies
G06V 40/20 - Movements or behaviour, e.g. gesture recognition
Provided are extension devices and systems, including an extending truss including a plurality of cells, each cell including a first scissor extender including a first member and a second member rotationally connected to the first member at an off-center point along a longitudinal axis of the first member, a second scissor extender connected to the first scissor extender, the second scissor extender including a first member and a second member rotationally connected to the first member, and a third scissor extender connected to the first scissor extender, the third scissor extender including a first member and a second member rotationally connected to the first member.
A method of training a deep neural network, such as would be used in facial recognition, includes training the deep neural network to normalize feature vectors to a learned value representing a radius of a multi-dimensional hypersphere using a convex augmentation of the primary loss function.
Systems, methods, and other embodiments described herein relate to identifying and generating mechanisms from natural processes by a learning model for accelerating design development. In one embodiment, a method includes identifying mechanisms for a design task using a prompt transformer with seeds from biological processes, and the prompt transformer forms a taxonomy tree using the mechanisms. The method also includes generating functional solutions that expand sparse branches of the taxonomy tree for the mechanisms using the prompt transformer. The method also includes clustering the mechanisms using text embedding for the design task. The method also includes inspecting the mechanisms with the prompt transformer to select a solution associated with the design task.
An implantable hybrid advanced molecular manufacturing regulator device containing engineered cells delivering cancer therapeutics to a subject. The device comprises a conductive scaffold in communication with a control module; a biochemical sensor module in communication with the control module; an oxygenator configured to produce oxygen and disposed inside the conductive scaffold; and at least one engineered cells encapsulation disposed in association with the conductive scaffold; wherein the at least one engineered cells encapsulation encapsulates engineered cells; wherein the engineered cells are configured to produce at least one cancer therapeutic agent; wherein the device is implantable.
A computing a measure quantifying the influence of a concept defined by a concept model on classifications of a target model. This may include computing for sensor data in an evaluation set the output of a similarity function applied to the output of a target model and the output of a concept model.
In some aspects, the present disclosure pertains to methods for the electrochemical production of NH3 from nitrogen gas and a hydrogen-containing molecule in an electrochemical cell that comprises a cathode, an anode and a lithium-ion-containing electrolyte disposed between the cathode and the anode. The electrochemical cell is operated under conditions such that lithium ions in the electrolyte are converted to lithium metal at the cathode, the lithium metal reacting with nitrogen gas to form Li3N, and the Li3N reacting with protons in a proton donor to form NH3, lithium ions and a deprotonated proton donor. Moreover, the proton donor has a Kamlet-Taft alpha parameter (α) greater than 0.7 and a Kamlet-Taft beta parameter (β) greater than 0.5. Other aspects of the present disclosure pertain to systems for electrochemical production of NH3.
A manufacturing method for making a plurality of microneedle arrays (MNAs) includes: dispensing a polymer resin into a plurality of wells of at least one mold by an automated dispenser comprising at least one dispensing nozzle; centrifuging the at least one mold to distribute the dispensed polymer resin within the plurality of wells of the at least one mold; curing, solidifying, and/or drying the polymer resin within the plurality of wells of the at least one mold; and removing individual molded MNA parts from the at least one mold with at least one electromechanical mover controlled by at least one computer processor. A mold for making a plurality of the MNAs and a high-throughput manufacturing system for making the MNAs using the mold are also provided.
A system and method allow interaction with a mobile device using finger pointing gestures. The mobile device includes an imaging device having a field of view that contains an object of interest. The system and method are capable of identifying the object of interest in image data captured by the imaging device by casting a ray from a finger of user, who is pointing to the object using traditional pointing gestures. Verbal utterances spoken by the user can be captured and used to provide context about the object of interest.
Disclosed herein is a system and method for implementing a personalized ultrasound neuromodulation system and methods with neural sensing of personalized electrophysiological data, guiding ultrasound targeting and dosage using such personalized data. Specific ultrasound transducer solutions are provided for various neural targets that enable the low-intensity focused ultrasound to modulate the central nervous system and peripheral nervous systems to treat a variety of neurological and mental disorders. A portable ultrasound console device, a wearable guiding apparatus and a compact solution for effectively and safely enabling point-of-care neuromodulation, e.g., home healthcare, are provided. Further methods for ultrasound waveform customization are also described to improve effectiveness of ultrasound neuromodulation.
G16H 20/40 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
Disclosed herein is a novel system and method for detecting, localizing, and correcting configuration upsets of an SRAM-based FPGA design caused by radiation exposure. The radiation-hardened FPGA uses embedded strike sensors distributed throughout the FPGA fabric, coupled with an error handler to correct the upsets using a redundant on-chip copy of the configuration.
Systems, methods, and other embodiments described herein relate improve the estimation of poses within an environment including multiple people and uncalibrated cameras. In one embodiment, a method includes acquiring sensor data including images with depth information of a surrounding environment that includes multiple people. The method includes determining 2D poses and 3D features for the people according to the sensor data. The method includes generating camera poses using at least the depth information and the features for cameras that generated the images. The method includes generating 3D poses for the people according to the camera poses and the 3D features. The method includes providing the 3D poses of the people.
Disclosed herein is a posture-invariant brain-computer interface (BCI), including a neural decoder that effectively provides correct motion intent signals even as the user changes posture, a method of training the neural decoder using a supervised learning method to predict intended effector motion from training data collected in multiple postures, and a system using the trained neural decoder to effect intended motions on an effector.
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A high-density bioprobe array is provided comprising conductive or optical shanks. A method of making high-density bioprobe arrays also is provided. A bioprobe system using the array also is provided.
G01N 27/30 - Electrodes, e.g. test electrodesHalf-cells
H05K 3/00 - Apparatus or processes for manufacturing printed circuits
H05K 3/12 - Apparatus or processes for manufacturing printed circuits in which conductive material is applied to the insulating support in such a manner as to form the desired conductive pattern using printing techniques to apply the conductive material
83.
System, Method, and Computer Program Product for Optical Vibration Sensing
Provided are systems, methods, and computer program products for optical vibration sensing. The system includes a first visual sensor, a second visual sensor, and at least one processor in communication with the first visual sensor and the second visual sensor, the at least one processor configured to: capture at least one first image comprising at least one light on at least one object with the first visual sensor, capture at least one second image comprising the at least one light on the at least one object with the second visual sensor, and determine a vibration of the at least one object based on the at least one light captured in the at least one first image and the at least one second image.
H04N 23/45 - Cameras or camera modules comprising electronic image sensorsControl thereof for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
H04N 23/55 - Optical parts specially adapted for electronic image sensorsMounting thereof
H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
Disclosed herein are various embodiments of electrodes using nanowire structures to increase the columbic efficiency and voltage output of a battery. The electrodes may include, for example, a copper foil layer and copper nanowires protruding from a surface of the copper foil layer or from both surfaces of the copper foil layer.
Additive manufacturing methods, additive manufacturing systems (100), support material for additive manufacturing, and products thereof are provided. For example, the additive manufacturing methods includes depositing a structure material into a support material (108) based on a first computer model of an object, thereby forming a first portion of the object in the support material. The structure material exhibits a viscosity in a range of 1 mPa*s to 5000 mPa*s (1 cP to 5,000 cP) at 25 degrees Celsius. The support material exhibits a density in a range of 1.05 g/mL to 3 g/mL. The method includes repeating the depositing of the structure material as necessary to additively form the object.
Additive manufacturing methods, additive manufacturing systems, structure materials for additive manufacturing, and products thereof are provided. The structure material includes at least 1 mg/mL of a bio-compatible polymer, a solvent, at least 10 million cells/mL, and a polymerization inhibitor.
Aspects of the invention are drawn towards a wound healing device, such as a single or multi-component patch, comprising a first component and a second component, as well as cells capable of producing a plurality of therapeutic agents (e.g., cytokines). The wound healing device may be used in a manner to coordinate the release of the therapeutic agents, either temporally or geographically, to provide customized support of the wound healing process.
Provided are systems, methods, and devices for imaging using wireless network signals. The system includes a first set of wireless network antennas, a second set of wireless network antennas, and at least one computing device, the at least one computing device configured to initiate, with a first wireless network adapter, bidirectional communication of network packets between the first set of wireless network antennas and the second set of wireless network antennas, extract channel state information from the network packets after they are received by the first set of wireless network antennas and the second set of wireless network antennas, and generate an image of at least one entity in the space defined between the first set of wireless network antennas and the second set of wireless network antennas based on inputting the channel state information into a machine-learning model.
Provided herein is a computer-implemented method of determining blood pressure in a patient, including steps of transmitting light into a patient's limb distal to an occlusion point, receiving, first data relating to a pressure applied to occlude a patient's limb, receiving second data relating to a parameter of the transmitted light at a first time point during occlusion of the patient's limb, receiving third data relating to the parameter of the transmitted light at a second time point after perfusion of the patient's limb has resumed, comparing the second data to the third data determine a characteristic of the transmitted light, and determining the patient's systolic blood pressure based at least on the first data and the characteristic of the transmitted light.
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 5/1455 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using optical sensors, e.g. spectral photometrical oximeters
Provided are systems, methods, and devices for scratch tracking. The system includes a wearable device configured to be worn on an appendage of an entity, the wearable device comprising at least one accelerometer and at least one motion sensor, and a computing device in communication with the at least one accelerometer and the at least one motion sensor, the computing device configured to receive first sensor data from the at least one accelerometer and second sensor data from the at least one motion sensor, wherein the first sensor data and the second sensor data are different, and determine at least one scratch metric based on inputting the first sensor data and the second sensor data into at least one machine-learning model.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
91.
CHOLESTEROL-OLIGONUCLEOTIDE TETHERS WITH APTAMERS FOR LIGAND DISPLAY AND EXTRACELLULAR VESICLE FUNCTIONALIZATION
Provided herein are Treg-derived extracellular vesicles (EVs) modified with an aptamer that binds an affinity-tagged protein. The affinity-tagged protein may be CTLA4, such that the Treg EVs target B7-dislaying cells, such as T-cells, B-cells, APCs, dendritic cells, or macrophage. The CTLA4-modified Treg EVs are useful in reducing an immune response, such as in transplantation patients, cancer patients, autoimmune disease patients, or inflammatory disease patients.
C12N 15/115 - Aptamers, i.e. nucleic acids binding a target molecule specifically and with high affinity without hybridising therewith
A61K 47/69 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the conjugate being characterised by physical or galenical forms, e.g. emulsion, particle, inclusion complex, stent or kit
C12N 15/11 - DNA or RNA fragmentsModified forms thereof
Provided herein are methods, nucleic acids, transformed yeast cells, and kits useful for rapid and effective multiplexed identification of nanobody binding to a target protein domain.
A multiplexing electrochemical point-of-care biosensing device that provides picomolar level accuracy and high selectivity and which requires only seconds to provide the response. The biosensing device is capable of being mass manufactured due to a molding process used to fabricate the working electrode of the device, which consists of an array of micropillars coated with a biosensitive material.
A61B 5/1468 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means
A61B 5/1486 - Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value using chemical or electrochemical methods, e.g. by polarographic means using enzyme electrodes, e.g. with immobilised oxidase
94.
SYSTEM, METHOD, AND DEVICE FOR ENTITY DETECTION AND IMAGING USING WIRELESS NETWORK SIGNALS
Provided are systems, methods, and devices for imaging using wireless network signals. The system includes a first set of wireless network antennas, a second set of wireless network antennas, and at least one computing device configured to broadcast, with the first wireless network adapter from the first plurality of wireless network antennas, first network packets in an environment, broadcast, with the second wireless network adapter from the second plurality of wireless network antennas while the first wireless network adapter broadcasts the first network packets, second network packets in the environment, extract channel state information for the first network packets and second network packets after they are received, and detect at least one entity in the environment based on inputting the channel state information into at least one machine-learning model.
Provided are systems, methods, and computer program products for generating modified light emissions. The system includes at least one signal receiver arranged on a vehicle, at least one sensor arranged on the vehicle, at least one lighting system arranged on the vehicle, and at least one processor in communication with the at least one signal receiver, the at least one sensor, and the at least one lighting system, the at least one processor configured to: receive a first signal with the at least one signal receiver; receive sensor data from the at least one sensor; determine lighting data based on the first signal; generate a modified light emission by geometrically transforming the lighting pattern based on the sensor data; and control the at least one lighting system to output the modified light emission.
B60Q 1/08 - Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights adjustable, e.g. remotely-controlled from inside vehicle automatically
B60Q 1/14 - Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor the devices being primarily intended to illuminate the way ahead or to illuminate other areas of way or environments the devices being headlights having dimming means
96.
SYSTEM AND METHOD FOR IDENTIFYING MISPLACED PRODUCTS IN A SHELF MANAGEMENT SYSTEM
Disclosed herein is a system and method of identifying misplaced products on a retail shelf using a feature extractor trained to extract features from images of products on the shelf and output identifying information regarding the product in the product image. The extracted features are compared to extracted features in a product library and a best fit is obtained. A misplaced product is identified if the identifying information produced by the feature extractor fails to match the identifying information associated with the best fit features from the product library.
G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06F 18/2113 - Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
G06F 18/28 - Determining representative reference patterns, e.g. by averaging or distortingGenerating dictionaries
G06V 10/40 - Extraction of image or video features
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
97.
Error Evaluation Platform using Field Programmable Gate Array Based Emulation
Disclosed herein is a platform comprising a hardware compiler framework to directly instrument an RTL representation of an input design with a fault injection processor enabling the execution of arbitrary error injection requests from the user and communication with the design under test to target specific design sections for fault injection.
A tactile interaction device uses a plurality of shape-changing tactile elements that are driven by electro-osmotic flow of a fluid. An electric filed applied to a pumping membrane by two electrodes is responsible for inducing a flow of the liquid. Multiple tactile elements can be used on the device to permit localized tactile feedback to a user. The device is adapted to be in contact with the user's skin, such as a finger or hand.
Methods providing reliable and non-invasive ways to suppress spreading depolarization waves leading to cortical spreading depression are disclosed. A stimulation signal is applied at the location of and surrounding the location of the spreading depolarization and the amplitude and focal point of the stimulation signal are randomly varied, causing suppression of the spreading depolarization wave.
Disclosed herein is a highly energy-efficient architecture targeting the ultra-low-power sensor domain. The architecture achieves high energy-efficiency while maintaining programmability and generality. The invention introduces vector-dataflow execution, allowing the exploitation of the dataflows in a sequence of vector instructions and to amortize instruction fetch and decode over a whole vector of operations. The vector-dataflow architecture allows the invention to avoid costly vector register file accesses, thereby saving energy.
