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 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06N 3/088 - Apprentissage non supervisé, p. ex. apprentissage compétitif
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
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 - Dispositifs comportant des éléments flexibles ou déformables, p. ex. comportant des membranes ou des lamelles élastiques
B81C 1/00 - Fabrication ou traitement de dispositifs ou de systèmes dans ou sur un substrat
G01B 7/16 - Dispositions pour la mesure caractérisées par l'utilisation de techniques électriques ou magnétiques pour mesurer les déformations dans un solide, p. ex. au moyen d'une jauge de contrainte à résistance
3.
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%.
A61N 1/36 - Application de courants électriques par électrodes de contact courants alternatifs ou intermittents pour stimuler, p. ex. stimulateurs cardiaques
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 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/766 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la régression, p. ex. en projetant les caractéristiques sur des hyperplans
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
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.
G06F 30/392 - Conception de plans ou d’agencements, p. ex. partitionnement ou positionnement
G06F 30/398 - Vérification ou optimisation de la conception, p. ex. par vérification des règles de conception [DRC], vérification de correspondance entre géométrie et schéma [LVS] ou par les méthodes à éléments finis [MEF]
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 - Façonnage de surface, p. ex. gaufrageAppareils à cet effet par des moyens mécaniques, p. ex. par pressage en utilisant des rouleaux ou des courroies sans fin
B05D 1/28 - Procédés pour appliquer des liquides ou d'autres matériaux fluides aux surfaces par transfert de liquides ou d'autres matériaux fluides, à partir de la surface d'éléments porteurs, p. ex. de pinceaux, tampons, rouleaux
B05B 13/04 - Moyens pour supporter l'ouvrageDisposition ou assemblage des têtes de pulvérisationAdaptation ou disposition des moyens pour entraîner des pièces les têtes de pulvérisation étant déplacées au cours de l'opération
7.
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 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
8.
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.
B22F 10/31 - Étalonnage des étapes de procédé ou réglages des appareils, p. ex. avant ou en cours de fabrication
B22F 10/38 - Commande ou régulation des opérations pour obtenir des caractéristiques spécifiques du produit, p. ex. le lissage de la surface, la densité, la porosité ou des structures creuses
B22F 12/90 - Moyens de commande ou de régulation des opérations, p. ex. caméras ou capteurs
B29C 64/393 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
B33Y 50/02 - Acquisition ou traitement de données pour la fabrication additive pour la commande ou la régulation de procédés de fabrication additive
10.
EXPRESSION ESTIMATION FOR HEADSETS USING LOW-PROFILE ANTENNA AND IMPEDANCE CHARACTERISTIC SENSING
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.
G03B 37/00 - Photographie panoramique ou à grand écranPhotographie de surfaces étendues, p. ex. pour la géodésiePhotographie de surfaces internes, p. ex. de tuyaux
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 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
A61B 5/0507 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio utilisant des micro-ondes ou des ondes térahertz
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
H01Q 1/27 - Adaptation pour l'utilisation dans ou sur les corps mobiles
G06V 40/20 - Mouvements ou comportement, p. ex. reconnaissance des gestes
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.
B66B 9/02 - Genres ou types d'ascenseurs installés dans les bâtiments ou édifices ou adjoints à ceux-ci actionnés mécaniquement autrement que par câbles ou filins
B66F 7/06 - Châssis de levage, p. ex. pour lever des véhiculesAscenseurs à tablier à tabliers supportés par des leviers pour un mouvement vertical
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.
A61F 2/86 - Stents ayant une forme caractérisée par des éléments filiformesStents ayant une forme caractérisée par une structure de type filet ou de type à mailles
A61L 27/54 - Matériaux biologiquement actifs, p. ex. substances thérapeutiques
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 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.
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 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mécaniques, la radiothérapie ou des thérapies invasives, p. ex. la chirurgie, la thérapie laser, la dialyse ou l’acuponcture
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.
A61B 5/16 - Dispositifs pour la psychotechnieTest des temps de réaction
A61F 2/72 - Commandes bioélectriques, p. ex. myoélectriques
G05B 13/02 - Systèmes de commande adaptatifs, c.-à-d. systèmes se réglant eux-mêmes automatiquement pour obtenir un rendement optimal suivant un critère prédéterminé électriques
G16H 20/70 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients concernant des thérapies mentales, p. ex. la thérapie psychologique ou le training autogène
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
25.
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.
G01H 9/00 - Mesure des vibrations mécaniques ou des ondes ultrasonores, sonores ou infrasonores en utilisant des moyens sensibles aux radiations, p. ex. des moyens optiques
H04N 23/45 - Caméras ou modules de caméras comprenant des capteurs d'images électroniquesLeur commande pour générer des signaux d'image à partir de plusieurs capteurs d'image de type différent ou fonctionnant dans des modes différents, p. ex. avec un capteur CMOS pour les images en mouvement en combinaison avec un dispositif à couplage de charge [CCD] pour les images fixes
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 - Électrodes, p. ex. électrodes pour testsDemi-cellules
H05K 3/00 - Appareils ou procédés pour la fabrication de circuits imprimés
H05K 3/12 - Appareils ou procédés pour la fabrication de circuits imprimés dans lesquels le matériau conducteur est appliqué au support isolant de manière à former le parcours conducteur recherché utilisant la technique de l'impression pour appliquer le matériau conducteur
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.
B29C 64/106 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p. ex. dépôt d’un cordon continu de matériau visqueux
B29C 64/40 - Structures de support des objets en 3D pendant la fabrication, lesdites structures devant être sacrifiées après réalisation de la fabrication
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.
A61K 9/00 - Préparations médicinales caractérisées par un aspect particulier
A61P 17/02 - Médicaments pour le traitement des troubles dermatologiques pour traiter les blessures, les ulcères, les brûlures, les cicatrices, les cheloïdes, ou similaires
A61M 37/00 - Autres appareils pour introduire des agents dans le corpsPercutanisation, c.-à-d. introduction de médicaments dans le corps par diffusion à travers la peau
A61B 5/24 - Détection, mesure ou enregistrement de signaux bioélectriques ou biomagnétiques du corps ou de parties de celui-ci
31.
SYSTEM, METHOD, AND DEVICE FOR 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, 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 - Mesure de la pression dans le cœur ou dans les vaisseaux sanguins
A61B 5/1455 - Mesure des caractéristiques du sang in vivo, p. ex. de la concentration des gaz dans le sang ou de la valeur du pH du sang en utilisant des capteurs optiques, p. ex. des oxymètres à photométrie spectrale
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 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
34.
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 - Aptamères, c.-à-d. acides nucléiques liant spécifiquement une molécule cible avec une haute affinité sans s'y hybrider
A61K 47/69 - Préparations médicinales caractérisées par les ingrédients non actifs utilisés, p. ex. les supports ou les additifs inertesAgents de ciblage ou de modification chimiquement liés à l’ingrédient actif l’ingrédient non actif étant chimiquement lié à l’ingrédient actif, p. ex. conjugués polymère-médicament le conjugué étant caractérisé par sa forme physique ou sa forme galénique, p. ex. émulsion, particule, complexe d’inclusion, stent ou kit
C12N 15/11 - Fragments d'ADN ou d'ARNLeurs formes modifiées
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.
G01N 33/68 - Analyse chimique de matériau biologique, p. ex. de sang ou d'urineTest par des méthodes faisant intervenir la formation de liaisons biospécifiques par ligandsTest immunologique faisant intervenir des protéines, peptides ou amino-acides
C07K 16/44 - Immunoglobulines, p. ex. anticorps monoclonaux ou polyclonaux contre du matériel non prévu ailleurs
36.
POINT-OF-CARE MULTIPLEXING BIOSENSOR ARRAY AND SCALABLE METHOD OF MANUFACTURE
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 - Mesure des caractéristiques du sang in vivo, p. ex. de la concentration des gaz dans le sang ou de la valeur du pH du sang en utilisant des procédés chimiques ou électrochimiques, p. ex. par des moyens polarographiques
A61B 5/1486 - Mesure des caractéristiques du sang in vivo, p. ex. de la concentration des gaz dans le sang ou de la valeur du pH du sang en utilisant des procédés chimiques ou électrochimiques, p. ex. par des moyens polarographiques en utilisant des électrodes enzymatiques, p. ex. avec oxydase immobilisée
37.
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 - Agencement des dispositifs de signalisation optique ou d'éclairage, leur montage, leur support ou les circuits à cet effet les dispositifs étant principalement destinés à éclairer la route en avant du véhicule ou d'autres zones de la route ou des environs les dispositifs étant des phares réglables, p. ex. commandés à distance de l'intérieur du véhicule automatiquement
B60Q 1/14 - Agencement des dispositifs de signalisation optique ou d'éclairage, leur montage, leur support ou les circuits à cet effet les dispositifs étant principalement destinés à éclairer la route en avant du véhicule ou d'autres zones de la route ou des environs les dispositifs étant des phares comportant un dispositif d'atténuation de la lumière
39.
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 - Gestion d’inventaires ou de stocks, p. ex. exécution des commandes, approvisionnement ou régularisation par rapport aux commandes
G06F 16/583 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
G06F 18/2113 - Sélection du sous-ensemble de caractéristiques le plus significatif en classant ou en filtrant l'ensemble des caractéristiques, p. ex. en utilisant une mesure de la variance ou de la corrélation croisée des caractéristiques
G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
G06F 18/28 - Détermination de motifs de référence représentatifs, p. ex. en faisant la moyenne ou en déformantGénération de dictionnaires
G06V 10/40 - Extraction de caractéristiques d’images ou de vidéos
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
H04N 7/18 - Systèmes de télévision en circuit fermé [CCTV], c.-à-d. systèmes dans lesquels le signal vidéo n'est pas diffusé
40.
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.
G06F 30/333 - Conception en vue de la testabilité [DFT], p. ex. chaîne de balayage ou autotest intégré [BIST]
G06F 30/3323 - Vérification de la conception, p. ex. simulation fonctionnelle ou vérification du modèle utilisant des méthodes formelles, p. ex. vérification de l’équivalence ou vérification des propriétés
41.
SYSTEM AND METHOD FOR AN INTERACTION SURFACE WITH SHAPE-CHANGING TACTILE ELEMENTS
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.
A61N 1/40 - Application de champs électriques par couplage inductif ou capacitif
A61N 1/36 - Application de courants électriques par électrodes de contact courants alternatifs ou intermittents pour stimuler, p. ex. stimulateurs cardiaques
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.
A method of controlling navigation of a device in an environment using machine learning (ML) models includes receiving visual and audio observation data of the environment as sensed by the device, determining classification scores for objects and regions in the environment based on the visual and audio observation data, encoding visual information based on the classification scores, determining audio-semantic feature embeddings based at least in part on the classification scores, the audio-semantic feature embeddings indicating spatial relationships between objects in the environment, between regions in the environment, and between objects and regions in the environment, and determining and outputting, based on the encoded visual information and the audio-semantic feature embeddings, a state representation corresponding to a state of the device within the environment.
A system includes a machine-learning network. The network includes an input interface configured to receive input data from a sensor. The processor is programmed to receive the input data, generate a perturbed input data set utilize the input data, wherein the perturbed input data set includes perturbations of the input data, denoise the perturbed input data set utilizing a denoiser, wherein the denoiser is configured to generate a denoised data set, send the denoised data set to both a pre-trained classifier and a rejector, wherein the pre-trained classifier is configured to classify the denoised data set and the rejector is configured to reject a classification of the denoised data set, train, utilizing the denoised input data set, the a rejector to achieve a trained rejector, and in response to obtaining the trained rejector, output an abstain classification associated with the input data, wherein the abstain classification is ignored for classification.
G06V 10/764 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant la classification, p. ex. des objets vidéo
G06V 10/84 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les modèles graphiques de probabilités à partir de caractéristiques d’images ou de vidéos, p. ex. les modèles de Markov ou les réseaux bayésiens
46.
KNOWLEDGE-DRIVEN SCENE PRIORS FOR SEMANTIC AUDIO-VISUAL EMBODIED NAVIGATION
A method of controlling navigation of a device in an environment using machine learning (ML) models includes receiving visual and audio observation data of the environment as sensed by the device, determining classification scores for objects and regions in the environment based on the visual and audio observation data, encoding visual information based on the classification scores, determining audio-semantic feature embeddings based at least in part on the classification scores, the audio-semantic feature embeddings indicating spatial relationships between objects in the environment, between regions in the environment, and between objects and regions in the environment, and determining and outputting, based on the encoded visual information and the audio-semantic feature embeddings, a state representation corresponding to a state of the device within the environment.
G06V 10/77 - Traitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source
G06V 10/80 - Fusion, c.-à-d. combinaison des données de diverses sources au niveau du capteur, du prétraitement, de l’extraction des caractéristiques ou de la classification
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
47.
SYSTEM AND METHOD FOR PREDICTING AND OPTIMIZING CHEMICAL MIXTURES
The disclosed invention is an end-to-end differentiable mixture physics model that combines physics-based models and GDL models, where the GDL models are designed to transform the molecular species, compositions and environment conditions to physical coefficients for use in the physics-based models.
G16C 20/30 - Prévision des propriétés des composés, des compositions ou des mélanges chimiques
G16C 20/70 - Apprentissage automatique, exploration de données ou chimiométrie
H01M 10/0564 - Accumulateurs à électrolyte non aqueux caractérisés par les matériaux utilisés comme électrolytes, p. ex. électrolytes mixtes inorganiques/organiques l'électrolyte étant constitué uniquement de matériaux organiques
H01M 4/38 - Emploi de substances spécifiées comme matériaux actifs, masses actives, liquides actifs d'éléments simples ou d'alliages
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
Provided herein are systems, methods, and computer program products using tumor phylogeny, mutation rates, and machine learning to produce a clinical projection, such as patient survival, risk of malignancy, and therapeutic options. The method includes generating sequence variation data that identifies, characterizes, or quantifies at least one mutation in tumor sequence data of a tumor of a patient. The method also includes generating a phylogenic tree depicting clonal evolution of cells in the tumor of the patient. The method further includes determining at least one feature of the phylogenic tree including at least one value quantifying rates of mutation and/or at least one value representing at least one aspect of a structure of the phylogenic tree. The method further includes training a machine learning model to be configured to generate a projection for the patient comprising a clinical outcome or disease progression.
G16B 20/20 - Détection d’allèles ou de variantes, p. ex. détection de polymorphisme d’un seul nucléotide
G16B 10/00 - TIC spécialement adaptées à la bio-informatique évolutive, p. ex. construction ou analyse d’arbre phylogénétique
G16B 30/00 - TIC spécialement adaptées à l’analyse de séquences impliquant des nucléotides ou des aminoacides
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
49.
LIPID NANOPARTICLE FORMULATIONS CONTAINING HUMAN MILK SUGARS
Methods and materials for lipid nanoparticle delivery of nucleic acids are provided herein. For example, compositions containing human milk oligosaccharides in combination with lipid nanoparticles having nucleic acid cargoes are provided herein, as are methods that include administering, to mammals in need thereof, human milk oligosaccharides and lipid nanoparticles that carry nucleic acid cargoes.
C07H 1/08 - SéparationPurification à partir de produits naturels
A61K 9/127 - Vecteurs à bicouches synthétiques, p. ex. liposomes ou liposomes comportant du cholestérol en tant qu’unique agent tensioactif non phosphatidylique
50.
Method for Non-Invasive or Minimally-Invasive Stimulation of Deep Brain Targets
Disclosed herein is a method for delivery stimulation to targeted deep brain structures by supplementing existing method using external electrodes with transnasal electrodes, disposed, for example, in the olfactory cleft and within the hyenoid sinus, or, more broadly, in the nasal cavity and/or in the sinuses, including, but not limited to, the frontal, ethmoidal, sphenoid sinus, etc. The method allows stimulation and/or sensing in deep brain regions which can be inaccessible from the scalp or for which existing methods are ineffective in targeting. The method can also be used for power delivery to implants that might be placed inside the brain or on its surface.
A61N 1/05 - Électrodes à implanter ou à introduire dans le corps, p. ex. électrode cardiaque
A61N 1/36 - Application de courants électriques par électrodes de contact courants alternatifs ou intermittents pour stimuler, p. ex. stimulateurs cardiaques
Disclosed herein is a system and method for formally verifying the safety of the Federal Railroad Administration freight train kinematics model with all its relevant forces and parameters, including track slope and curvature, airbrake propagation, and resistive forces as computed by the Davis equation.
Provided herein are engineered lipid-bound vesicles for cytosolic delivery of an exogenous secreted, cell surface receptor-binding signaling molecule. Also provided herein are methods of making and using the engineered lipid-bound vesicles, and devices comprising the lipid-bound vesicles.
Computer systems and computer-implemented methods identify potential discrepancies between data practice disclosures made in a data practice policy and a data practice label for a data system. The data system collects or captures data about or for a user of the data system or any other person The method can also comprise the step of comparing, by the computer system, the prediction for the given data practice with an entry in the data practice label for the data system to identify a possible discrepancy between the prediction and the data practice label. The classifier can be trained via machine learning to make the predictions. The classifier could comprise a classifier for each data practice covered by the data label or a foundation model, such as large language model, that is adapted to make the predictions about a data system's data practice label.
A method discloses receiving, at a cross-attention layer of a model, first text data describing a first object and second text data describing a first scene, wherein the first text data includes a description of a location of the first object, utilizing the model with cross-attention layers, concatenating the first text data and the second text data to generate a prompt; generating, a broadcasted location mask constructed from at least the location; generating, a broadcasted all-one matrix associated with the second text data described the first scene; computing a key matrix and a value matrix utilizing separate linear projections of the prompt; computing a query matrix utilizing linear projections; generating a broadcasted location matrix in response to concatenating the broadcasted location mask and the broadcasted all-one matrix; generating a cross-attention map utilizing the query matrix, the key matrix, and the broadcasted location matrix; and outputting a final image.
A computer-implemented method includes converting tabular data to a text representation, generating metadata associated with the text representation of the tabular data, outputting one or more natural language data descriptions indicative of the tabular data in response to utilizing a large language model (LLM) and zero-shot prompting of the metadata and text representation of the tabular data, outputting one or more summaries utilizing the LLM and appending a prompt on the one or more natural language data descriptions, selecting a single summary of the one or more summaries in response to the single summary having a smallest validation rate, receiving a query associated with the tabular data, outputting one or more predictions associated with the query, and in response to meeting a convergence threshold with the one or more predictions generated from the one or more iterations, output a final prediction associated with the query.
University of Pittsburgh - Of the Commonwealth System of Higher Education (USA)
CARNEGIE MELLON UNIVERSITY (USA)
Inventeur(s)
Powell, Marc Philip
Capogrosso, Marco
Weber, Douglas J.
Verma, Nikhil
Gerszten, Peter C.
Pirondini, Elvira
Sorensen, Erynn
Carranza Urquizo, Erick Fabrizio
Fisher, Lee
Abrégé
Disclosed herein are methods for treating impairment of a limb in a subject. Particular methods comprise applying a therapeutically effective amount of an electrical stimulus to dorsal roots, dorsal rootlets, or dorsal root ganglia, of sensory neurons innervating the limb of the subject, wherein the impairment is a motor impairment and/or a proprioception impairment due to neurological disorder or injury, the electrical stimulus is applied with one or more electrodes controlled by a neurostimulator, and the one or more electrodes are implanted in the epidural space at the dorsolateral aspect of the spinal cord and proximate to the dorsal roots or dorsal rootlets of the sensory neurons innervating the limb of the subject, or the one or more electrodes are implanted proximate to dorsal root ganglia of sensory neurons innervating the limb of the subject.
A61N 1/36 - Application de courants électriques par électrodes de contact courants alternatifs ou intermittents pour stimuler, p. ex. stimulateurs cardiaques
A61N 1/05 - Électrodes à implanter ou à introduire dans le corps, p. ex. électrode cardiaque
A strain sensor utilizes an ohmic-based contact switch to detect strain. The sensor can be incorporated into other structures, such as an artificial flapping wing, to detect strain and other parameters, including air flow disturbances. The sensors are fabricated using an additive manufacturing process, with a layer of gold or other conductive material applied for electrical conductivity and UV laser ablation for electrical isolation. The sensor design incorporates mechanical amplification, converting small strains into larger displacements that close contact pads, resulting in an ohmic switch activated at a specific strain threshold. Unlike traditional sensors, the switch provides a high or low state output directly without the need for additional amplification or post-processing. The device can detect disturbances in flapping wing cycles and obtain yaw rotation information, with potential applications in other aircraft for disturbance detection.
B81B 3/00 - Dispositifs comportant des éléments flexibles ou déformables, p. ex. comportant des membranes ou des lamelles élastiques
B81C 1/00 - Fabrication ou traitement de dispositifs ou de systèmes dans ou sur un substrat
G01L 1/22 - Mesure des forces ou des contraintes, en général en mesurant les variations de la résistance ohmique des matériaux solides ou des fluides conducteurs de l'électricitéMesure des forces ou des contraintes, en général en faisant usage des cellules électrocinétiques, c.-à-d. des cellules contenant un liquide, dans lesquelles un potentiel électrique est produit ou modifié par l'application d'une contrainte en utilisant des jauges de contrainte à résistance
58.
MULTIDIMENSIONAL 3D GRAPHENE-BASED HIGH-PERFORMANCE CATALYSTS
A hybrid graphene material includes a functional group to expand the use of graphene in various applications. The hybrid material may include a substrate, such as silicon nanowires, where the graphene is fabricated on the surface of the substrate with an out-of-plane topography. Functional groups can be added to the graphene and affect the electrical, chemical, or photo characteristics of the hybrid material.
A system uses a sensing membrane to determine a fluid flow of a working fluid through the membrane. The system detects an electrical current generated by a fluid flowing through the sensing membrane and correlates the current to bulk flow. The sensing membrane can also be used to induce fluid flow by applying a current to the membrane. In alternative embodiments, separate sensing membranes and actuating membranes can be used in the same enclosures to permit sensing and actuating simultaneously.
G01F 1/38 - Mesure du débit volumétrique ou du débit massique d'un fluide ou d'un matériau solide fluent, dans laquelle le fluide passe à travers un compteur par un écoulement continu en utilisant des effets mécaniques en mesurant la pression ou la différence de pression la pression ou la différence de pression étant produite par une contraction de la veine fluide la pression ou la différence de pression étant mesurée au moyen d'un élément mobile, p. ex. une membrane, un piston, un tube de Bourdon ou une capsule déformable
G01F 1/56 - Mesure du débit volumétrique ou du débit massique d'un fluide ou d'un matériau solide fluent, dans laquelle le fluide passe à travers un compteur par un écoulement continu en utilisant des effets électriques ou magnétiques
G01F 1/64 - Mesure du débit volumétrique ou du débit massique d'un fluide ou d'un matériau solide fluent, dans laquelle le fluide passe à travers un compteur par un écoulement continu en utilisant des effets électriques ou magnétiques en mesurant des courants électriques passant à travers l’écoulement de fluideMesure du débit volumétrique ou du débit massique d'un fluide ou d'un matériau solide fluent, dans laquelle le fluide passe à travers un compteur par un écoulement continu en utilisant des effets électriques ou magnétiques en mesurant le potentiel électrique produit par l’écoulement de fluide, p. ex. par effet électrochimique, effet de contact ou effet de frottement
G01N 15/08 - Recherche de la perméabilité, du volume des pores ou de l'aire superficielle des matériaux poreux
A haptic device uses a group of electroosmotic pumps arranged in an array to provide tactile feedback to a user of a virtual/augmented reality system. The electroosmotic pumps are arranged in defined patterns, forming an array of haptic pixels. The pumps pressurize a working fluid to cause a displacement of a flexible membrane in contact with the working fluid. A controller can be used to address individual pumps of the array and to provide simulate effects such as texture, object compliance, detents and buttons, and to provide haptic animations.
61.
METHOD FOR KEY GENERATION USING PHYSICALLY UNCLONABLE FUNCTIONS
Disclosed herein is a method for determining a physically unclonable function of a pixel array using the dark count rate of events at each pixel to form a dark count map. The dark count map serves as a signature of the array from which a set of authentication keys may be generated to provide verification of images generated by the pixel array. Multiple dark count maps from which multiple key sets can be generated may be provided for the pixel array by varying the perimeter gate voltage of each pixel.
H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système
A high gravimetric and volumetric power density heat exchanger is provided for high-temperature and high-pressure applications with counter-flowing hot and cold agents that enter via respective inlet headers, transit parallel and adjacent flow passages, and exit via respective outlet headers. One or more headers for conveying one of the substances may be situated within the flow of the other substance. Structures within the flow passages promote the transfer of heat while limiting pressure drop on one or both sides. The structures may include microscale pins, an array of pins (with specified aspect ratios and spacing), a lattice of interconnected pins, parallel ridges, and/or other features. Through an additive manufacturing process, the headers are monolithically integrated into the heat exchanger instead of being separately constructed and attached.
F28D 9/00 - Appareils échangeurs de chaleur comportant des ensembles de canalisations fixes en forme de plaques ou de laminés pour les deux sources de potentiel calorifique, ces sources étant en contact chacune avec un côté de la paroi d'une canalisation
F28F 9/02 - Boîtes de distributionPlaques d'extrémité
Internally-coated three-dimensional materials including a porous scaffold having an internal pore system including internal pores and interconnected interior channels in open communication with an exterior surface of the porous scaffold, and a functional internal conformal coating including 0D materials, 1D materials, and/or 2D materials in contact with interior surfaces of the internal pores and the interconnected interior channels, and the coating may be characterized by an interconnected three-dimensional network that is electrically conductive and/or electrochemically active. Methods of making and using the materials are also described.
Methods of controlling a computing system based on wiggling and/or other types of continuous multidirectional gesturing. In some embodiments, the methods monitor user gesturing for the occurrence of a recognizable item-action gesture that a user has made without having provided any other input to the computing system and then take one or more actions in response to recognizing the item-action gesture. In some embodiments, the actions include identifying one or more on-display item underlying the item-action gesture, duplicating the identified item(s) to one or more target locations, and adding one or more visual indicia to the identified on-display item(s), among other things In some embodiments, a user can append an item-action gesture with one or more action extensions that each cause the computing system to take one or more additional actions concerning the identified on-display item(s). Software for performing one or more of the disclosed methodologies is also disclosed.
G06F 3/04883 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels pour l’entrée de données par calligraphie, p. ex. sous forme de gestes ou de texte
G06F 3/0485 - Défilement ou défilement panoramique
65.
IMAGING OF SEIZURE SOURCES USING BIOPHYSICALLY-CONSTRAINED DEEP NEURAL NETWORKS
Disclosed herein is a novel deep learning-based source imaging framework for imaging ictal oscillations from high-density electrophysiological recordings in drug-resistant focal epilepsy patients. A neural mass model producing ictal oscillations was used to generate synthetic training data having spatio-temporal-spectra features indicative of ictal oscillations. The synthetic training data was then used to train the deep learning-based source imaging framework to image and localize brain source patches exhibiting ictal oscillations, based on an input of EEG data.
Provided are systems and methods for swept-angle interferometry. A system includes a light source configured to emit at least one beam having at least two wavelengths, a beam steering device configured to steer the at least one beam across at least one axis of motion, a lens arranged in an optical path between the beam steering device and a target of the at least one beam, the lens having a focal plane, and a relay lens arranged in the optical path between the beam steering device and the lens.
67.
SYSTEM AND METHOD FOR CONTROLLING SATELLITES IN ORBIT
Provided are systems and methods for controlling a plurality of satellites. A system includes at least one computing device configured to determine a control plan based on a target separation in along-track and cross-track directions for a plurality of satellites including at least a first satellite and a second satellite, the control plan including at least one drag modulation parameter for each satellite, control the first satellite to lower an orbital altitude of the first satellite based on the at least one drag modulation parameter, such that a mean motion and nodal precession rate of the first satellite increases, based on the control plan and after lowering the orbital altitude of the first satellite, and control the second satellite to lower an orbital altitude of the second satellite based on the at least one drag modulation parameter to achieve the target separation.
A method of forming a three-dimensional structure using droplet-based freeform printing is provided. The method includes depositing a structural material through one or more nozzles onto a surface of a substrate by droplet-based freeform printing, such as inkjet printing, to form one or more three-dimensional structures including a smooth surface and one or more cross-sectional dimensions. The structural material undergoes a liquid-to-solid transition after deposition of the structural material, and the one or more cross-sectional dimensions are controlled by a droplet ejection frequency. A method of fabricating a matrix including a three-dimensional structure including forming a negative three-dimensional template using droplet-based freeform printing, depositing, such as casting, a matrix material over the negative three-dimensional template and at least a portion of the surface of the substrate and solidifying the matrix material to form a matrix including the one or more three-dimensional structures of the negative template is also provided.
B29C 64/112 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p. ex. dépôt d’un cordon continu de matériau visqueux utilisant des gouttelettes individuelles, p. ex. de buses de jet
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.
A61L 27/36 - Matériaux pour prothèses ou pour revêtement de prothèses contenant des constituants de constitution indéterminée ou leurs produits réactionnels
D01F 4/02 - Filaments, ou similaires, artificiels, à un seul composant, formés de protéinesLeur fabrication à partir de la fibroïne
70.
3D BIOPRINTING A MEDICAL DEVICE THROUGH FREEFORM REVERSIBLE EMBEDDING
Various systems and process for fabricating customized medical devices via the freeform reversible embedding of suspended hydrogels process are disclosed. The mechanical properties of the fabricated objects can be controlled according to the manner or orientation in which the structure material is deposited into the support material and the three-dimensional movement of the extruder assembly. Further, the dimensions of the fabricated objects can be validated by adding a contrast agent to the structure material, obtaining a three-dimensional reconstruction of the fabricated object, and then comparing the three-dimensional reconstruction to the computer model upon which the fabricated object is based. These and other techniques are described herein.
B29C 64/386 - Acquisition ou traitement de données pour la fabrication additive
A61B 5/00 - Mesure servant à établir un diagnostic Identification des individus
A61B 5/055 - Détection, mesure ou enregistrement pour établir un diagnostic au moyen de courants électriques ou de champs magnétiquesMesure utilisant des micro-ondes ou des ondes radio faisant intervenir la résonance magnétique nucléaire [RMN] ou électronique [RME], p. ex. formation d'images par résonance magnétique
A61L 27/36 - Matériaux pour prothèses ou pour revêtement de prothèses contenant des constituants de constitution indéterminée ou leurs produits réactionnels
A61L 27/54 - Matériaux biologiquement actifs, p. ex. substances thérapeutiques
B29C 64/40 - Structures de support des objets en 3D pendant la fabrication, lesdites structures devant être sacrifiées après réalisation de la fabrication
B29K 105/00 - Présentation, forme ou état de la matière moulée
Disclosed herein is a novel pseudoinverse estimation system and method that adapts regression techniques to directly estimate one or more pseudo inverses of a neuromodulation pathway, thereby circumventing the need of inverting an estimated forward model to design an electrical waveform that elicits a desired neural response. This is accomplished by the learning of a restricted domain that restricts the potential stimuli required to produce the desired neural response. Also disclosed herein is an adaptive, data-driven method providing a more selective design of an electrical waveform to elicit the desired neural response.
A61N 1/36 - Application de courants électriques par électrodes de contact courants alternatifs ou intermittents pour stimuler, p. ex. stimulateurs cardiaques
G06F 17/11 - Opérations mathématiques complexes pour la résolution d'équations
72.
THREE-DIMENSIONAL MICROTISSUES WITH INTEGRATED MECHANICAL LOADING
This document describes systems and methods for integrated mechanical loading of tissue. The system includes a three-dimensional tissue comprising organic material. The system includes a strip of bendable material. The strip includes a first region proximate to a first end of the strip coupled to the tissue. The strip includes a second region near a second end of the strip for coupled to the tissue, the second end being opposite the first end, wherein the tissue exerts a force on the strip to bend the strip, the force caused by contraction of the tissue, and wherein the strip exerts a stress on the tissue.
C12N 5/00 - Cellules non différenciées humaines, animales ou végétales, p. ex. lignées cellulairesTissusLeur culture ou conservationMilieux de culture à cet effet
C12M 1/00 - Appareillage pour l'enzymologie ou la microbiologie
C12M 1/32 - Inoculateur ou échantillonneur du type à champs multiples ou en continu
C12N 5/071 - Cellules ou tissus de vertébrés, p. ex. cellules humaines ou tissus humains
G01N 3/06 - Adaptations particulières des moyens d'indication ou d'enregistrement
G01N 3/20 - Recherche des propriétés mécaniques des matériaux solides par application d'une contrainte mécanique en appliquant des efforts permanents de flexion
G01N 33/483 - Analyse physique de matériau biologique
G01N 33/50 - Analyse chimique de matériau biologique, p. ex. de sang ou d'urineTest par des méthodes faisant intervenir la formation de liaisons biospécifiques par ligandsTest immunologique
73.
LIGHT BASED ADDITIVE MANUFACTURING SYSTEM, METHOD OF MANUFACTURE THEREOF, AND PRODUCT FORMED THEREFROM
Light based additive manufacturing systems, methods of manufacture thereof, and products formed therefrom are provided. The additive manufacturing system comprises a material deposition region (102), a light emitter (104), a conduit (106), a carriage assembly (108), and a processor (110). The material deposition region is capable to hold a first material that is at least partially photoactivatable. The conduit is capable to transmit light from the light emitter to an end of the conduit and is capable to be disposed within the material deposition region. The carriage assembly is capable to move, rotate, or a combination thereof, the conduit within the material deposition region. The processor is in signal communication with the light emitter, conduit, carriage assembly, or a combination thereof, in order to selectively photoactive the first material using the end of the conduit, according to a first computer model, to additively form an object made of the first material.
B29C 64/135 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p. ex. dépôt d’un cordon continu de matériau visqueux utilisant des couches de liquide à solidification sélective caractérisés par la source d'énergie à cet effet, p. ex. par irradiation globale combinée avec un masque la source d’énergie étant concentrée, p. ex. lasers à balayage ou sources lumineuses focalisées
B29C 64/268 - Agencements pour irradiation par faisceaux laserAgencements pour irradiation par faisceaux d’électrons [FE]
B29C 64/40 - Structures de support des objets en 3D pendant la fabrication, lesdites structures devant être sacrifiées après réalisation de la fabrication
B33Y 30/00 - Appareils pour la fabrication additiveLeurs parties constitutives ou accessoires à cet effet
B33Y 80/00 - Produits obtenus par fabrication additive
B29C 64/106 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p. ex. dépôt d’un cordon continu de matériau visqueux
74.
ADDITIVE MANUFACTURING BASED ON FLUID-FLUID INTERFACE
This document describes systems and method of embedded printing for additive manufacturing. A print material is printed into a support material. The print material and the support material each have a fluid phase and a solid phase. The print material transitions from the fluid phase to the solid phase based on a fluid-fluid interaction with the support material. One or more parameters of the support material can be adjusted to cause a diffusion rate of the print material into the support material during the fluid-fluid interaction to be less than a threshold value. Multiple print materials can be printed into the support material simultaneously.
B29C 64/40 - Structures de support des objets en 3D pendant la fabrication, lesdites structures devant être sacrifiées après réalisation de la fabrication
B29C 64/106 - Procédés de fabrication additive n’utilisant que des matériaux liquides ou visqueux, p. ex. dépôt d’un cordon continu de matériau visqueux
B29C 64/165 - Procédés de fabrication additive utilisant une combinaison de matériaux solides et liquides, p. ex. une poudre avec liaison sélective par liant liquide, catalyseur, inhibiteur ou absorbeur d’énergie
Disclosed herein is a system and method for matching products detected in an image of a shelf. The match or non-match of the products is then used to make a determination that the products are correctly positioned on the shelf of if the positioning of the products represents a plug or spread situation.
G06V 10/44 - Extraction de caractéristiques locales par analyse des parties du motif, p. ex. par détection d’arêtes, de contours, de boucles, d’angles, de barres ou d’intersectionsAnalyse de connectivité, p. ex. de composantes connectées
G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G06V 10/25 - Détermination d’une région d’intérêt [ROI] ou d’un volume d’intérêt [VOI]
G06V 20/20 - ScènesÉléments spécifiques à la scène dans les scènes de réalité augmentée
Materials and methods for conducting an atom transfer radical polymerization in the presence of oxygen by interlocking enzymatic activities are provided herein.
C08F 4/10 - Composés métalliques autres que les hydrures et autres que les composés organiques de métalComplexes d'halogénures de bore ou d'halogénures d'aluminium avec des composés organiques contenant de l'oxygène de métaux alcalino-terreux, de zinc, de cadmium, de mercure, de cuivre ou d'argent
C08F 2/16 - Polymérisation en milieu non solvant en milieu aqueux
C08F 4/26 - Composés métalliques autres que les hydrures et autres que les composés organiques de métalComplexes d'halogénures de bore ou d'halogénures d'aluminium avec des composés organiques contenant de l'oxygène de manganèse, des métaux du groupe du fer ou des métaux du groupe du platine
C08F 220/28 - Esters contenant de l'oxygène en plus de l'oxygène de la fonction carboxyle ne contenant pas de cycles aromatiques dans la partie alcool
Disclosed herein is a method for defining a model of a trusted IoT security gateway architecture based on a microhypervisor, wherein evaluation of the model provides a guarantee that the correct security protections are applied to each IoT device's network traffic at all times, including when under attack. The models defined in accordance with the method disclosed herein are used to verify security gateway architectures that provide robust trust properties to a broad range of legacy hardware platforms utilizing existing software with a reasonable performance overhead.
G06F 21/53 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p. ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par exécution dans un environnement restreint, p. ex. "boîte à sable" ou machine virtuelle sécurisée
Systems and devices to measure atmospheric gaseous reactive gases that may form atmospheric aerosol particles may generally includes a reactor in fluid communication with a particle counter. The reactor may include a first inlet configured to receive a continuous flow of a first fluid and a second inlet configured to receive a continuous flow of a second fluid. The reactor may include a first outlet in fluid communication with the particle counter to detect a reaction product of the first fluid and second fluid. The reaction product may include 1-3 nanometer particles. The reactor may include a second outlet to exhaust any remaining portion of the reaction product flow from the reactor. Methods of making and using the systems and devices to measure atmospheric gaseous reactive gases that may form atmospheric aerosol particles are also described.
G01N 15/06 - Recherche de la concentration des suspensions de particules
G01N 15/00 - Recherche de caractéristiques de particulesRecherche de la perméabilité, du volume des pores ou de l'aire superficielle effective de matériaux poreux
G01N 33/00 - Recherche ou analyse des matériaux par des méthodes spécifiques non couvertes par les groupes
79.
Method of Manufacturing Porous Structures With Controllable and Directionally Tunable Porosity Via Freeze Casting
A method of manufacturing a porous part includes controlled freeze casting of a slurry. After freezing, a solvent in the slurry is removed by sublimation and the remaining material is sintered to form the porous part. Spatial and temporal control of thermal conditions at the boundary and inside of the mold can be controlled to create parts with controlled porosity, including size, distribution, and directionality of the pores. Porous parts with near-net-shape from ceramics, metals, polymers and other materials and their combinations can be created.
B22F 3/11 - Fabrication de pièces ou d'objets poreux
B22F 1/107 - Poudres métalliques contenant des agents lubrifiants ou liantsPoudres métalliques contenant des matières organiques contenant des matériaux organiques comportant des solvants, p. ex. pour la coulée en moule poreux ou absorbant
B22F 3/22 - Fabrication de pièces ou d'objets à partir de poudres métalliques, caractérisée par le mode de compactage ou de frittageAppareils spécialement adaptés à cet effet pour la fabrication de pièces par coulée en moule poreux ou absorbant, c.-à-d. par coulée d'une suspension de poudre métallique dans un moule poreux, d'une façon analogue au coulage de la barbotine
B28B 1/00 - Fabrication d'objets façonnés à partir du matériau
B29C 39/02 - Moulage par coulée, c.-à-d. en introduisant la matière à mouler dans un moule ou entre des surfaces enveloppantes sans pression significative de moulageAppareils à cet effet pour la fabrication d'objets de longueur définie, c.-à-d. d'objets séparés
A tactile sensor utilizes a magnet embedded in an elastomer and a magnetometer for measuring a strength of a magnetic field emitted by the magnet. The elastomer may include two layers, with a first layer having a lower modulus than the second layer. When two layers are used, the magnet can be positioned at an interface between the layers. The use of a softer outer layer increases the sensitivity of the sensor. Sensitivity can be further increased by including features or a pattern of features on the surface of the elastomer. The features, which can be similar to fingerprints on a human hand, are adapted to provide vibrational information caused by the surface roughness of a material. The sensor provides material characterization and can be used to identify the material in contact with the sensor. The sensor can be fabricated using molding techniques.
B25J 13/08 - Commandes pour manipulateurs au moyens de dispositifs sensibles, p. ex. à la vue ou au toucher
G01B 7/24 - Dispositions pour la mesure caractérisées par l'utilisation de techniques électriques ou magnétiques pour mesurer les déformations dans un solide, p. ex. au moyen d'une jauge de contrainte à résistance en utilisant la variation des propriétés magnétiques
G01L 1/12 - Mesure des forces ou des contraintes, en général en mesurant les variations des propriétés magnétiques d'un matériau, résultant de l'application d'un effort
G01L 5/169 - Appareils ou procédés pour la mesure des forces, du travail, de la puissance mécanique ou du couple, spécialement adaptés à des fins spécifiques pour la mesure de plusieurs composantes de la force en utilisant des moyens magnétiques
Disclosed herein is a system and method for the automatic detection of persons engaged in the open carry of firearms at a venue. The system and method comprise strategically placed cameras at the venue which are connected to edge devices which extract frames from video generated by the cameras. The video frames are sent to a server for analysis by an AI/ML model trained to detect firearms and, specifically, to detect persons carrying firearms. If a person wielding a firearm is detected in any image, an alert is raised and local authorities are automatically contacted. The system is designed to run continuously such as to be able to quickly detect a person in a venue carrying a firearm.
G06V 20/52 - Activités de surveillance ou de suivi, p. ex. pour la reconnaissance d’objets suspects
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G08B 21/02 - Alarmes pour assurer la sécurité des personnes
82.
Overmoded Bulk Acoustic Resonators and Method of Fabricating
Disclosed herein is an Overmoded Bulk Acoustic Resonator (OBAR) and a solidly-mounted OBAR (SBAR), which operate in a partially transduced 2nd overtone split between piezoelectric and electrode layers using dual all metal Bragg mirrors. The devices may be deployed in a series configuration. The devices have arbitrarily thick electrodes to minimize ohmic loss and bandwidths high enough to meet filtering requirements of 5G networks. The devices provide sharp filtering which can be performed directly at each antenna element in a form factor much smaller than the half-wavelength separation between adjacent antenna elements required when using electromagnetic resonators.
Disclosed herein is a system and method for data augmentation for general object recognition which preserves the class identity of the augmented data. The system comprises an image recognition network an image generation network that take as input ground truth images and classes respectively and which generates a predicted class and an augmented image. A discriminator evaluates the predicted class and augmented image and provides feedback to the image recognition network and the image generation network.
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
84.
System and Method for Material Modelling and Design Using Differentiable Models
Disclosed herein is a framework for the modeling and design of materials based on differentiable programming, where the models can be trained by gradient-based optimization. Within this framework, all the components are differentiable and can be seamlessly integrated and unified with deep learning. The framework can design and optimize materials for a variety of applications.
G06F 30/27 - Optimisation, vérification ou simulation de l’objet conçu utilisant l’apprentissage automatique, p. ex. l’intelligence artificielle, les réseaux neuronaux, les machines à support de vecteur [MSV] ou l’apprentissage d’un modèle
85.
DEVICE AND METHOD FOR IMPROVED POLICY LEARNING FOR ROBOTS
A computer-implemented method of learning a policy for an agent. The method includes: receiving an initialized first neural network, in particular a Q-functionor value-function, an initialized second neural network, auxiliary parameters, and the initialized policy; repeating the following steps until a termination condition is fulfilled: sampling a plurality of pairs of states, actions, rewards and new states from a storage. Sampling actions for the current states, and actions for the new sampled states; computing features from a penultimate layer of the first neural network based on the sampled states and actions and updating the second neural network and the auxiliary parameters as well as updating parameters the first neural network using a re-weighted loss.
The present disclosure relates to structures and methods of use of textiles for protection, and more particularly. relates to single layer knitted structures that can be worn as garments to block mosquito bites. The knit structures of the present embodiments can include single layer structures having a unique geometric combination of yarn properties and textiles to block mosquito bites in a single. comfortable layer of fabric. The knit structures can include one or more controllable parameters that can be adjusted to increase and/or decrease the bite blocking ability of the knit structure.
Disclosed herein is a system and method for reducing false positives in object detection frameworks. A human form view of objects detected by the object detection framework and indicates the object is a false positive. When an indication of a false positive been received, a feature representation of displayed object stored in the gallery. During an inference or testing phase, the gallery is searched for a feature representation matching the feature representation of the detected objects, and, if a match is found, the detected object is deemed to be a false positive and is not displayed to the user.
G06V 10/778 - Apprentissage de profils actif, p. ex. apprentissage en ligne des caractéristiques d’images ou de vidéos
G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
88.
System and Method for Prediction of Molecular Dynamics and Chemical Properties Using Equivariant Neural Operators
Disclosed herein is a system and method using an equivariant neural network for predicting quantum mechanical charge density. The equivariant neural network serves as a surrogate for the density-functional theory used to calculate a selfconsistent field and predicts the central observable charge density, which, in addition to enabling force calculations, can also accelerate DFT itself and compute a full range of chemical properties.
UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION (USA)
CARNEGIE MELLON UNIVERSITY (USA)
Inventeur(s)
Ohodnicki, Paul Richard
Shen, Sheng
Abrégé
A near-field probe (and associated method) compatible with near-infrared electromagnetic radiation and high temperature applications above 300°° C. (or 500° C. in some applications) includes an optical waveguide and a photonic thermal emitting structure comprising a near-field thermally emissive material coupled to or part of the optical waveguide. The photonic thermal emitting structure is structured and configured to emit near-field energy responsive to at least one environmental parameter of interest, and the near-field probe is structured and configured to enable extraction of the near-field energy to a far-field by coupling the near-field energy into one or more guided modes of the optical waveguide.
A system includes an inertial sensing device having an inertial sensor and plurality of stress sensors configured to measure stress applied to the inertial sensing device, and at least one computing device configured to: receive sensor data from the inertial sensor and the plurality of stress sensors; and determine a drift compensation of the inertial sensor based on the sensor data. Other systems, methods, and devices are disclosed.
G01D 3/036 - Dispositions pour la mesure prévues pour les objets particuliers indiqués dans les sous-groupes du présent groupe pour atténuer les influences indésirables, p. ex. température, pression sur les dispositions de mesure elles-mêmes
B81B 7/02 - Systèmes à microstructure comportant des dispositifs électriques ou optiques distincts dont la fonction a une importance particulière, p. ex. systèmes micro-électromécaniques [SMEM, MEMS]
G01P 15/02 - Mesure de l'accélérationMesure de la décélérationMesure des chocs, c.-à-d. d'une variation brusque de l'accélération en ayant recours aux forces d'inertie
G01P 21/00 - Essai ou étalonnage d'appareils ou de dispositifs couverts par les autres groupes de la présente sous-classe
THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS (USA)
Inventeur(s)
Bao, Zhipeng
Tokmakov, Pavel
Wang, Yuxiong
Gaidon, Adrien David
Hebert, Martial
Abrégé
A method for learning a representation of a sequence of frames includes encoding, via an encoder network, the sequence of frames to obtain a set of feature maps and extracting, a motion-guided slot learning mechanism, mid-level features from the set of feature maps. The method further includes quantizing the mid-level features via a vector quantization process to obtain a set of tokens, and decoding, via a decoder network, the tokens to obtain a reconstructed sequence of frames. The method still further includes optimizing a combination of a reconstruction loss and a motion loss to train the encoder and decoder networks.
G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p. ex. le suivi des coins ou des segments
G06V 20/58 - Reconnaissance d’objets en mouvement ou d’obstacles, p. ex. véhicules ou piétonsReconnaissance des objets de la circulation, p. ex. signalisation routière, feux de signalisation ou routes
92.
System and method for providing provable end-to-end guarantees on commodity heterogeneous interconnected computing platforms
Disclosed herein is a system architecture that structures commodity heterogeneous interconnected computing platforms around universal object abstractions, which are fundamental system abstractions and building blocks that provides practical and provable end-to-end guarantees of security, correctness, and timeliness for the platform.
A method for sequential point cloud forecasting is described. The method includes training a vector-quantized conditional variational autoencoder (VQ-CVAE) framework to map an output to a closest vector in a discrete latent space to obtain a future latent space. The method also includes outputting, by a trained VQ-CVAE, a categorical distribution of a probability of V vectors in a discrete latent space in response to an input previously sampled latent space and past point cloud sequences. The method further includes sampling an inferred future latent space from the categorical distribution of the probability of the V vectors in the discrete latent space. The method also includes predicting a future point cloud sequence according to the inferred future latent space and the past point cloud sequences. The method further includes denoising, by a denoising diffusion probabilistic model (DDPM), the predicted future point cloud sequences according to an added noise.
G06V 20/56 - Contexte ou environnement de l’image à l’extérieur d’un véhicule à partir de capteurs embarqués
G06V 10/24 - Alignement, centrage, détection de l’orientation ou correction de l’image
G06V 10/82 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant les réseaux neuronaux
In an example, a method may include deforming a first ray associated with a dynamic object at a first time using a first neural network and a latent code to obtain a deformed ray. The method may also include obtaining a hyperspace code associated with the first ray by inputting the first ray, the first time, and the latent code into a second neural network. The method may further include sampling one or more points from the deformed ray. The method may also include combining the sampled points and the hyperspace code into a network input. The method may further include inputting the network input into a third neural network to obtain RGB values for rendering images of a three-dimensional scene representative of the dynamic object at a second time.
Computer-based systems and methods for discovering neighborhood clusters in a geographic region, where the clusters have a mix of venues and are determined based on venue check-in data. The mix of venues for the clusters may be based on the social similarity between pairs of venues; or emblematic of certain neighborhood typologies; or emblematic of temporal check-in pattern types; or combinations thereof. The neighborhood clusters that are so discovered through venue-check in data could be used for many commercial and civic purposes.
Disclosed herein is a method for optimizing electrode placement that directly exploits the thresholding phenomenon of neurons. The method employs a loss function which only becomes non-zero when the electric field is above a user-specified threshold in the cancel region, thereby allowing for fields which can have significant non-zero current in the cancel region, but still provide more focused neural activation.
A61N 1/36 - Application de courants électriques par électrodes de contact courants alternatifs ou intermittents pour stimuler, p. ex. stimulateurs cardiaques
Methods and systems are for generating a process map for forming a structure, the process map usable for controlling additive manufacturing with the structure. The methods and systems are configured for obtaining a value of at least one process parameter for controlling thermo-fluid dynamics of the structure for melting material; heating, in accordance with the value of the at least one process parameter, the structure; obtaining a high-speed imaging of a melt pool; determining changes in a topological shape of the melt pool from the imaging; determining an absence or a presence of a defect in the structure representing whether the material is successful added to the structure; and generating a process map that correlates the value of the at least one process parameter to the absence or the presence of the defect in the structure.
Provided are systems, methods, and apparatuses for passive light interferometry. A system includes a mirror, a first sensor arranged to capture light from a light source reflected by the mirror, a controller in communication with the first sensor, the controller configured to cause rotation of the mirror based on movement of the light, an interferometer arranged in an optical path of the light source reflected by the mirror, and a beam splitter arranged in an optical path between the mirror and the interferometer.
G01B 11/02 - Dispositions pour la mesure caractérisées par l'utilisation de techniques optiques pour mesurer la longueur, la largeur ou l'épaisseur
G01J 9/02 - Mesure du déphasage des rayons lumineuxRecherche du degré de cohérenceMesure de la longueur d'onde des rayons lumineux par des méthodes interférométriques
G01S 7/481 - Caractéristiques de structure, p. ex. agencements d'éléments optiques
G01S 17/42 - Mesure simultanée de la distance et d'autres coordonnées
99.
METHOD FOR DETECTING AN APPLICATION PROGRESS AND HANDLING AN APPLICATION FAILURE IN A DISTRIBUTED SYSTEM
A method for detecting an application progress and handling an application failure in a distributed system. The method includes: monitoring an interaction between modules of at least one application, the at least one application being deployed across different physical nodes, the interaction being carried out by exchanging messages between the modules using a message broker, the monitoring being carried out at least partially using the message broker; detecting the application progress based on the monitoring; initiating a failure handling based on the detecting.
A method for providing a secondary backup application as a backup for a primary application, particularly for a predictive standby in distributed systems. The method includes the following steps are carried out by a predictive standby manager: receiving application-specific state data, the application-specific state data being obtained from monitoring a state of the primary application; receiving platform-specific state data, the platform-specific state data being obtained from monitoring a state of at least one platform that executes the primary application; initiating a backup process for using the secondary backup application based on the received application-specific state data and the platform-specific state data.
G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p. ex. en utilisant différentes séquences d'opérations aboutissant au même résultat
