Produits et services

Research, consulting and design services concerning the development of computer software programs and architecture and computer hardware architecture; research, consulting and design services in the field of developing computer software for artificial intelligence, neural networks; computer network configuration services, namely, configuration of neuromorphic systems, neuromorphic computations and artificial neural networks; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and computer software problems; integration of computer hardware and software being computer services, namely, integration of computer software into computer hardware systems; computer software and hardware testing services; installation, updating and maintenance of computer software; computer programming services for others; providing online non-downloadable software for using artificial intelligence computer chips to design software applications; providing online non-downloadable software for neuromorphic computing; providing online non-downloadable software for building artificial intelligence platforms; providing online non-downloadable software for machine learning, cognitive computing, deep learning and for designing software applications using artificial intelligence; providing online non-downloadable application programming interface (API) software; providing online non-downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence; software as a service (SAAS) services featuring software for use in software development of applications and interfaces for developers; customization of web software, namely, application programming interface design for others; Providing online non-downloadable computer software for information processing in which information is processed in a manner similar to the way the human brain processes information

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors being central processing units; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; downloadable computer software and computer hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips to design software applications; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, and for designing software applications using artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence

Abrégé

Various embodiments provide a secure biometric authentication method using dynamic facial expression gestures and motion. A mobile device captures spatiotemporal data of a user's facial features via a vision sensor and motion data associated with a mobile device's movement via an inertial measurement unit (IMU). A processing system in the mobile device constructs composite spatiotemporal trajectories of facial features by combining the event-based data and motion data, which are then matched to a stored template of biometric gestures associated with an authorized user. A neural network may be used to process these trajectories to determine the dynamic facial features and mobile device movements that correspond to an authorized user. If so, the mobile device may provide access to protected assets or secure operations of a device or to protected files. This dual-layer security approach enhances protection against unauthorized access by requiring precise replication of both facial dynamics and device motion.

Classes IPC  ?

• G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
• G06V 40/16 - Visages humains, p. ex. parties du visage, croquis ou expressions
• G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
• G06F 21/45 - Structures ou outils d’administration de l’authentification

Abrégé

Systems and methods performed by a processor of a computing device for implementing a plurality of state space models (SSM) by a processing system. Embodiments may include receiving a data input at a driving SSM, generating a driving output of the driving SSM based on the data input, parameterizing a driven SSM based on the driving output, in which the driving SSM and the driven SSM are connected by a lateral connection, receiving a second data input at the driven SSM, and generating a driven output of the driven SSM based on parameterization of the driven SSM and the second data input.

Classes IPC  ?

• G06N 3/045 - Combinaisons de réseaux
• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/0499 - Réseaux à propagation avant
• G06F 17/16 - Calcul de matrice ou de vecteur

Abrégé

Various embodiments provide a secure biometric authentication method using dynamic facial expression gestures and motion. A mobile device captures spatiotemporal data of a user's facial features via a vision sensor and motion data associated with a mobile device's movement via an inertial measurement unit (IMU). A processing system in the mobile device constructs composite spatiotemporal trajectories of facial features by combining the event-based data and motion data, which are then matched to a stored template of biometric gestures associated with an authorized user. A neural network may be used to process these trajectories to determine the dynamic facial features and mobile device movements that correspond to an authorized user. If so, the mobile device may provide access to protected assets or secure operations of a device or to protected files. This dual-layer security approach enhances protection against unauthorized access by requiring precise replication of both facial dynamics and device motion.

Classes IPC  ?

• G06F 21/32 - Authentification de l’utilisateur par données biométriques, p. ex. empreintes digitales, balayages de l’iris ou empreintes vocales
• G06F 21/35 - Authentification de l’utilisateur impliquant l’utilisation de dispositifs externes supplémentaires, p. ex. clés électroniques ou cartes à puce intelligentes communiquant sans fils
• G06V 10/147 - Détails de capteurs, p. ex. lentilles de capteurs
• G06V 10/24 - Alignement, centrage, détection de l’orientation ou correction de l’image
• G06V 10/74 - Appariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques
• G06V 10/75 - Organisation de procédés de l’appariement, p. ex. comparaisons simultanées ou séquentielles des caractéristiques d’images ou de vidéosApproches-approximative-fine, p. ex. approches multi-échellesAppariement de motifs d’image ou de vidéoMesures de proximité dans les espaces de caractéristiques utilisant l’analyse de contexteSélection des dictionnaires
• G06V 10/82 - 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
• G06V 40/40 - Détection d’usurpation, p. ex. détection d’activité
• G06V 40/70 - Biométrique multimodale, p. ex. combinaison d’informations de modalités biométriques distinctes

Abrégé

Systems and methods performed by a processor of a computing device for implementing a plurality of state space models (SSM) by a processing system. Embodiments may include receiving a data input at a driving SSM, generating a driving output of the driving SSM based on the data input, parameterizing a driven SSM based on the driving output, in which the driving SSM and the driven SSM are connected by a lateral connection, receiving a second data input at the driven SSM, and generating a driven output of the driven SSM based on parameterization of the driven SSM and the second data input.

Classes IPC  ?

• G06F 17/16 - Calcul de matrice ou de vecteur
• G06N 3/048 - Fonctions d’activation

Abrégé

Systems and methods performed by a processor of a computing device for online audio enhancement. Embodiments may include encoding an input audio signal by an encoder of a deep state-space autoencoder based in part on executing a first state-space model (SSM) generating an encoded signal, decoding a signal derived in part from the encoded signal by a decoder of the deep state-space autoencoder based in part on executing a second SSM to generate a decoded signal, and generating an enhanced output signal based in part on executing a third SSM based on the decoded signal.

Classes IPC  ?

• G10L 21/0208 - Filtration du bruit
• G10L 25/30 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse utilisant des réseaux neuronaux

Abrégé

Systems and methods for multi‑source hidden‑state fusion on edge devices. A processing system executes a state‑space model, accesses a vector database in dynamic random‑access memory, and maintains model state in on‑chip static random‑access memory. The system processes document chunks to form hidden states and computes a key for each chunk. Tuples pairing each key with a hidden state are stored in the database. For a received query, the system computes a query key and retrieves tuples by nearest‑neighbor search using the stored keys and the query key. A fusion function computes a fused hidden state across the retrieved hidden states. The fused hidden state is loaded as the initialization state. The model processes the query tokens from that state and generates answer tokens as a function of the fused state and the query tokens.

Classes IPC  ?

• G06F 16/245 - Traitement des requêtes
• G06F 16/22 - IndexationStructures de données à cet effetStructures de stockage
• G06F 16/242 - Formulation des requêtes
• G06F 16/248 - Présentation des résultats de requêtes
• G06F 16/334 - Exécution de requêtes
• G06F 16/3329 - Formulation de requêtes en langage naturel
• G06F 16/338 - Présentation des résultats des requêtes
• G06F 16/31 - IndexationStructures de données à cet effetStructures de stockage
• G06F 40/279 - Reconnaissance d’entités textuelles

Abrégé

Systems and methods for multi-source hidden-state fusion on edge devices. A processing system executes a state-space model, accesses a vector database in dynamic random-access memory, and maintains model state in on-chip static random-access memory. The system processes document chunks to form hidden states and computes a key for each chunk. Tuples pairing each key with a hidden state are stored in the database. For a received query, the system computes a query key and retrieves tuples by nearest-neighbor search using the stored keys and the query key. A fusion function computes a fused hidden state across the retrieved hidden states. The fused hidden state is loaded as the initialization state. The model processes the query tokens from that state and generates answer tokens as a function of the fused state and the query tokens.

Classes IPC  ?

• G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
• G06F 16/22 - IndexationStructures de données à cet effetStructures de stockage
• G06F 16/2455 - Exécution des requêtes

Abrégé

Disclosed is a neural network system generally relates to the field of neural networks (NNs). In particular, the present disclosure relates to event-based convolutional neural networks (NNs) that are trained to process spatial and temporal data using kernels represented by polynomial expansion. The event-based convolutional neural networks (NNs) are spatiotemporal neural networks. According to an embodiment, an explicit temporal convolution capability is added through Temporal Event-based Neural Networks (TENN) models. or TENNs in the spatiotemporal neural networks. The TENNs includes a plurality of temporal and spatial convolution layers that combine spatial and temporal features of data for low-level and high-level features. The TENNs as disclosed herein are configured to perform in a buffer mode and recurrent mode that effectively learns both spatial and temporal correlations from the input data.

Classes IPC  ?

• G06N 3/0464 - Réseaux convolutifs [CNN, ConvNet]
• G06N 3/048 - Fonctions d’activation
• G06N 3/049 - Réseaux neuronaux temporels, p. ex. éléments à retard, neurones oscillants ou entrées impulsionnelles

Abrégé

Disclosed is a method for processing event-based input data using a neural network. The neural network comprises a plurality of neurons and one or more connections associated with each of the plurality of neurons. Further, each of the plurality of neurons is configured to receive a corresponding portion of the event-based data. The method comprises receiving, at a neuron of the plurality of neurons, a plurality of events associated with the event-based data over the one or more connections associated with the neuron. Each of the one or more connections is associated with a kernel. The method further comprises determining a potential of the neuron over the period of time based on processing of the kernels. In order to determine the potential, the method further comprises offsetting the kernels in one of a spatial dimension, a temporal dimension, or a spatiotemporal dimension, and processing the offset kernels in order to determine the potential. The method further comprises generating, at the neuron, output based on the determined potential.

Classes IPC  ?

• G06N 3/048 - Fonctions d’activation

Abrégé

Disclosed is a neural network system that includes a memory and a processor. The memory is configured to store a plurality of storage buffers corresponding to a current neural network layer, and implement a neural network that includes a plurality of neurons for the current neural network layer and a corresponding group among a plurality of groups of basis function values. The processor is configured to receive an input data sequence into the first plurality of storage buffers over a first time sequence and project the input data sequence on a corresponding basis function values by performing, for each connection of a corresponding neuron, a dot product of the first input data sequence within a corresponding storage buffer with the corresponding basis function values and thereby determine a corresponding potential value for the corresponding neurons. Thus, utilizing the corresponding potential values, the processor generates a plurality of encoded output responses.

Classes IPC  ?

• G06N 3/048 - Fonctions d’activation
• G06F 17/16 - Calcul de matrice ou de vecteur

Abrégé

Disclosed is a neural network system that includes a memory and a processor. The memory is configured to store a plurality of storage buffers corresponding to a current neural network layer, and implement a neural network that includes a plurality of neurons for the current neural network layer and a corresponding group among a plurality of groups of basis function values. The processor is configured to receive an input data sequence into the first plurality of storage buffers over a first time sequence and project the input data sequence on a corresponding basis function values by performing, for each connection of a corresponding neuron, a dot product of the first input data sequence within a corresponding storage buffer with the corresponding basis function values and thereby determine a corresponding potential value for the corresponding neurons. Thus, utilizing the corresponding potential values, the processor generates a plurality of encoded output responses.

Classes IPC  ?

• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G06N 3/0455 - Réseaux auto-encodeursRéseaux encodeurs-décodeurs
• G06N 3/0475 - Réseaux génératifs

Abrégé

Disclosed is a system that includes a processor configured to process data in a neural network and a memory associated with a primary flow path and at least one secondary flow path within the neural network. The primary flow path comprises one or more primary operators to process the data and the at least one secondary flow path is configured to pass the data to a combining operator by skipping the processing of the data over the primary flow path. The processor is configured to provide the primary flow path and the at least one secondary flow path with a primary sequence of data and a secondary sequence of data respectively such that the secondary sequence of data being time offset from the processed primary sequence of data.

Classes IPC  ?

• G06F 9/30 - Dispositions pour exécuter des instructions machines, p. ex. décodage d'instructions

Abrégé

Disclosed is a method for processing event-based input data using a neural network. The neural network comprises a plurality of neurons and one or more connections associated with each of the plurality of neurons. Further, each of the plurality of neurons is configured to receive a corresponding portion of the event-based data. The method comprises receiving, at a neuron of the plurality of neurons, a plurality of events associated with the event-based data over the one or more connections associated with the neuron. Each of the one or more connections is associated with a kernel. The method further comprises determining a potential of the neuron over the period of time based on processing of the kernels. In order to determine the potential, the method further comprises offsetting the kernels in one of a spatial dimension, a temporal dimension, or a spatiotemporal dimension, and processing the offset kernels in order to determine the potential. The method further comprises generating, at the neuron, output based on the determined potential.

Classes IPC  ?

• G06N 3/049 - Réseaux neuronaux temporels, p. ex. éléments à retard, neurones oscillants ou entrées impulsionnelles
• G06N 3/02 - Réseaux neuronaux
• G06N 20/00 - Apprentissage automatique
• G06N 3/00 - Agencements informatiques fondés sur des modèles biologiques

Abrégé

Disclosed is a neural network system generally relates to the field of neural networks (NNs). In particular, the present disclosure relates to event-based convolutional neural networks (NNs) that are trained to process spatial and temporal data using kernels represented by polynomial expansion. The event-based convolutional neural networks (NNs) are spatiotemporal neural networks. According to an embodiment, an explicit temporal convolution capability is added through Temporal Event-based Neural Networks (TENN) models, or TENNs in the spatiotemporal neural networks. The TENNs includes a plurality of temporal and spatial convolution layers that combine spatial and temporal features of data for low-level and high-level features. The TENNs as disclosed herein are configured to perform in a buffer mode and recurrent mode that effectively learns both spatial and temporal correlations from the input data.

Classes IPC  ?

• G06N 3/049 - Réseaux neuronaux temporels, p. ex. éléments à retard, neurones oscillants ou entrées impulsionnelles
• G06N 3/02 - Réseaux neuronaux
• G06N 20/00 - Apprentissage automatique
• G06N 3/00 - Agencements informatiques fondés sur des modèles biologiques

Abrégé

A system is described that comprises a memory for storing data representative of at least one kernel, a plurality of spiking neuron circuits, and an input module for receiving spikes related to digital data. Each spike is relevant to a spiking neuron circuit and each spike has an associated spatial coordinate corresponding to a location in an input spike array. The system also comprises a packet collection module configured to collect spikes and to organize the collected relevant spikes in the packet based on the spatial coordinates of the spikes, and a convolutional neural processor configured to perform event-based convolution using memory and at least one of the transformed input spike array and the transformed kernel.

Classes IPC  ?

• G06F 15/18 - dans lesquels un programme est modifié en fonction de l'expérience acquise par le calculateur lui-même au cours d'un cycle complet; Machines capables de s'instruire (systèmes de commande adaptatifs G05B 13/00;intelligence artificielle G06N)
• G06G 7/00 - Dispositifs dans lesquels l'opération de calcul est effectuée en faisant varier des grandeurs électriques ou magnétiques
• G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
• G06N 3/02 - Réseaux neuronaux
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion

Abrégé

Disclosed herein are system, method, and computer program embodiments for an improved spiking neural network (SNN) configured to learn and perform unsupervised, semi-supervised, and supervised extraction of features from an input dataset. An embodiment operates by receiving a modification request to modify a base neural network, having N layers and a plurality of spiking neurons, trained using a primary training dataset. The base neural network is modified to include supplementary spiking neurons in the Nth or N+1th layer of the base neural network. The embodiment includes receiving a secondary training dataset and determining membrane potential values of one or more supplementary spiking neurons in the Nth or Nth+1 layer which learn features based on secondary training data set to select a supplementary/winning spiking neuron. The embodiment performs a learning function for the modified neural network based on the winning spiking neuron.

Classes IPC  ?

• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/045 - Combinaisons de réseaux
• G06N 3/049 - Réseaux neuronaux temporels, p. ex. éléments à retard, neurones oscillants ou entrées impulsionnelles
• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G06N 3/082 - Méthodes d'apprentissage modifiant l’architecture, p. ex. par ajout, suppression ou mise sous silence de nœuds ou de connexions
• G06N 3/084 - Rétropropagation, p. ex. suivant l’algorithme du gradient
• G06N 3/088 - Apprentissage non supervisé, p. ex. apprentissage compétitif
• G06N 3/09 - Apprentissage supervisé
• G06N 3/096 - Apprentissage par transfert

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets primarily comprised of computer chips; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; downloadable computer software and hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for use in the operation of artificial intelligence computer chips; downloadable software for neuromorphic computing for creating new software programs; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable electronic data files featuring microprocessor designs; downloadable electronic data files featuring microprocessor designs to implement neural network; downloadable electronic data files featuring microprocessor designs to implement temporal convolution; downloadable software for machine learning, cognitive computing, deep learning, artificial intelligence, all for creating new software programs; downloadable application programming interface (API) software; downloadable software for machine learning and for using artificial intelligence to communicate with other computers Research, consulting and design services concerning the development of computer software programs and architecture and computer hardware architecture; research, consulting and design services in the field of developing computer software for artificial intelligence, neural networks; computer network configuration services, namely, configuration of neuromorphic systems, neuromorphic computations and artificial neural networks; research, development and design for use in the design, technical verification and development of neural network processors for others; integration of computer hardware and software being computer services, namely, integration of computer software into computer hardware systems; computer software and hardware testing services; installation, updating and maintenance of computer software; computer programming services for others; providing online non-downloadable software for using artificial intelligence computer chips to design software applications; providing online non-downloadable software for neuromorphic computing for creating new software programs; providing online non-downloadable software for building artificial intelligence platforms; providing online non-downloadable software for machine learning, cognitive computing, deep learning, all for creating new software programs and for designing software applications using artificial intelligence; providing online non-downloadable application programming interface (API) software; providing online non-downloadable software for machine learning and for using artificial intelligence to communicate with other computers; software as a service (SAAS) services featuring software for use in software development of applications and interfaces for developers; customization of web software, namely, application programming interface design for others; providing online non-downloadable computer software for information processing in which information is processed in a manner similar to the way the human brain processes information; technical consultancy and technical support services in the nature of diagnosing problems with processors, namely, neural network processor

Abrégé

Disclosed herein are system, method, and computer program product embodiments for an improved spiking neural network (SNN) configured to learn and perform unsupervised extraction of features from an input stream. An embodiment operates by receiving a set of spike bits corresponding to a set synapses associated with a spiking neuron circuit. The embodiment applies a first logical AND function to a first spike bit in the set of spike bits and a first synaptic weight of a first synapse in the set of synapses. The embodiment increments a membrane potential value associated with the spiking neuron circuit based on the applying. The embodiment determines that the membrane potential value associated with the spiking neuron circuit reached a learning threshold value. The embodiment then performs a Spike Time Dependent Plasticity (STDP) learning function based on the determination that the membrane potential value of the spiking neuron circuit reached the learning threshold value.

Classes IPC  ?

• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/049 - Réseaux neuronaux temporels, p. ex. éléments à retard, neurones oscillants ou entrées impulsionnelles
• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors being central processing units; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; downloadable computer software and computer hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips to design software applications; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, and for designing software applications using artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence. Research, consulting and design services concerning the development of computer software programs and architecture and computer hardware architecture; research, consulting and design services in the field of developing computer software for artificial intelligence, neural networks; computer network configuration services, namely, configuration of neuromorphic systems, neuromorphic computations and artificial neural networks; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and computer software problems; integration of computer hardware and software being computer services, namely, integration of computer software into computer hardware systems; computer software and hardware testing services; installation, updating and maintenance of computer software; computer programming services for others; providing online non-downloadable software for using artificial intelligence computer chips to design software applications; providing online non-downloadable software for neuromorphic computing; providing online non-downloadable software for building artificial intelligence platforms; providing online non-downloadable software for machine learning, cognitive computing, deep learning and for designing software applications using artificial intelligence; providing online non-downloadable application programming interface (API) software; providing online non-downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence; software as a service (SAAS) services featuring software for use in software development of applications and interfaces for developers; customization of web software, namely, application programming interface design for others; providing online non-downloadable computer software for information processing in which information is processed in a manner similar to the way the human brain processes information.

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors; neuromorphic data processors; integrated circuits; computer chips having a predefined architecture; computer software and hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and artificial intelligence.

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; computer software and hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and artificial intelligence. Research, consulting and design services concerning the development of computer software programs and architecture and computer hardware architecture; research, consulting and design services in the field of developing computer software for artificial intelligence, neural networks; computer network configuration services, namely, configuration of neuromorphic systems, neuromorphic computations and artificial neural networks; integration of computer hardware and software being computer services, namely, integration of computer software into computer hardware systems; computer software and hardware testing services; installation, updating and maintenance of computer software; computer programming services for others; providing online non-downloadable software for using artificial intelligence computer chips to design software applications; providing online non-downloadable software for neuromorphic computing; providing online non-downloadable software for building artificial intelligence platforms; providing online non-downloadable software for machine learning, cognitive computing, deep learning and for designing software applications using artificial intelligence; providing online non-downloadable application programming interface (API) software; providing online non-downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence; software as a service (SAAS) services featuring software for use in software development of applications and interfaces for developers; customization of web software, namely, application programming interface design for others; providing online non-downloadable computer software for information processing in which information is processed in a manner similar to the way the human brain processes information.

Produits et services

Research, consulting and design services in the field of developing computer software, namely, artificial intelligence, neural networks; neuromorphic systems, neuromorphic computations and artificial neural networks related software; technical support services, namely, troubleshooting of computer software problems; computer programming services for others; non-downloadable software in the nature of a widget for machine learning and artificial intelligence; software as a service services featuring software for applications and interfaces for developers, namely, for the control and configuration of neuromorphic processor for artificial intelligence applications, and its associated user interface software; customization of web software, namely, application programming interface design for others.

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors being central processing units; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; downloadable computer software and computer hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips to design software applications; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, and for designing software applications using artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence Technical support services, namely, troubleshooting in the nature of repair of computer hardware problems; customization of computer hardware; consultancy relating to the repair of computer processors; providing information and consultancy in the field of repair of neuromorphic computer processors Research, consulting and design services concerning the development of computer software programs and architecture and computer hardware architecture; research, consulting and design services in the field of developing computer software for artificial intelligence, neural networks; computer network configuration services, namely, configuration of neuromorphic systems, neuromorphic computations and artificial neural networks; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and computer software problems; integration of computer hardware and software being computer services, namely, integration of computer software into computer hardware systems; computer software and hardware testing services; installation, updating and maintenance of computer software; computer programming services for others; providing online non-downloadable software for using artificial intelligence computer chips to design software applications; providing online non-downloadable software for neuromorphic computing; providing online non-downloadable software for building artificial intelligence platforms; providing online non-downloadable software for machine learning, cognitive computing, deep learning and for designing software applications using artificial intelligence; providing online non-downloadable application programming interface (API) software; providing online non-downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence; software as a service (SAAS) services featuring software for use in software development of applications and interfaces for developers; customization of web software, namely, application programming interface design for others; Providing online non-downloadable computer software for information processing in which information is processed in a manner similar to the way the human brain processes information; compilation of information relating to information technology for technology research purposes; compilation of statistical data for information technology research purposes; computer technology consultancy relating to computer processors; providing information and consultancy in the field of computer technology relating to neuromorphic computer processors; research in the field of computer processors

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors being central processing units; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; downloadable computer software and computer hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips to design software applications; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, and for designing software applications using artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence Compilation of information into computer databases; compilation of information relating to information technology for business purposes; compilation of statistical data for business purposes; computerised data processing; computerised database management; consultancy for providing purchasing advice to consumers relating to the selection and purchase of computer processors; information and consultancy in the field of providing consumer information and advice about the selection and purchase of neuromorphic computer processors; data processing; electronic data processing; online data processing services Technical support services, namely, troubleshooting in the nature of repair of computer hardware problems; customization of computer hardware; consultancy relating to the repair of computer processors; providing information and consultancy in the field of repair of neuromorphic computer processors Research, consulting and design services concerning the development of computer software programs and architecture and computer hardware architecture; research, consulting and design services in the field of developing computer software for artificial intelligence, neural networks; computer network configuration services, namely, configuration of neuromorphic systems, neuromorphic computations and artificial neural networks; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and computer software problems; integration of computer hardware and software being computer services, namely, integration of computer software into computer hardware systems; computer software and hardware testing services; installation, updating and maintenance of computer software; computer programming services for others; providing online non-downloadable software for using artificial intelligence computer chips to design software applications; providing online non-downloadable software for neuromorphic computing; providing online non-downloadable software for building artificial intelligence platforms; providing online non-downloadable software for machine learning, cognitive computing, deep learning and for designing software applications using artificial intelligence; providing online non-downloadable application programming interface (API) software; providing online non-downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence; software as a service (SAAS) services featuring software for use in software development of applications and interfaces for developers; customization of web software, namely, application programming interface design for others; Providing online non-downloadable computer software for information processing in which information is processed in a manner similar to the way the human brain processes information; compilation of information relating to information technology for technology research purposes; compilation of statistical data for information technology research purposes; computer technology consultancy relating to computer processors; providing information and consultancy in the field of computer technology relating to neuromorphic computer processors; research in the field of computer processors

Abrégé

A system is described that comprises a memory for storing data representative of at least one kernel, a plurality of spiking neuron circuits, and an input module for receiving spikes related to digital data. Each spike is relevant to a spiking neuron circuit and each spike has an associated spatial coordinate corresponding to a location in an input spike array. The system also comprises a transformation module configured to transform a kernel to produce a transformed kernel having an increased resolution relative to the kernel, and/or transform the input spike array to produce a transformed input spike array having an increased resolution relative to the input spike array. The system also comprises a packet collection module configured to collect spikes until a predetermined number of spikes relevant to the input spike array have been collected in a packet in memory, and to organize the collected relevant spikes in the packet based on the spatial coordinates of the spikes, and a convolutional neural processor configured to perform event-based convolution using memory and at least one of the transformed input spike array and the transformed kernel.

Classes IPC  ?

• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G06N 3/049 - Réseaux neuronaux temporels, p. ex. éléments à retard, neurones oscillants ou entrées impulsionnelles
• G06N 3/08 - Méthodes d'apprentissage
• G06T 3/40 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement
• G06T 3/4046 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement utilisant des réseaux neuronaux
• G11C 11/41 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliersÉléments d'emmagasinage correspondants utilisant des éléments électriques utilisant des dispositifs à semi-conducteurs utilisant des transistors formant des cellules avec réaction positive, c.-à-d. des cellules ne nécessitant pas de rafraîchissement ou de régénération de la charge, p. ex. multivibrateur bistable, déclencheur de Schmitt
• G11C 11/54 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliersÉléments d'emmagasinage correspondants utilisant des éléments simulateurs de cellules biologiques, p. ex. neurone

Abrégé

Embodiments of the present invention provides a system and method of learning and classifying features to identify objects in images using a temporally coded deep spiking neural network, a classifying method by using a reconfigurable spiking neural network device or software comprising configuration logic, a plurality of reconfigurable spiking neurons and a second plurality of synapses. The spiking neural network device or software further comprises a plurality of user-selectable convolution and pooling engines. Each fully connected and convolution engine is capable of learning features, thus producing a plurality of feature map layers corresponding to a plurality of regions respectively, each of the convolution engines being used for obtaining a response of a neuron in the corresponding region. The neurons are modeled as Integrate and Fire neurons with a non-linear time constant, forming individual integrating threshold units with a spike output, eliminating the need for multiplication and addition of floating-point numbers.

Classes IPC  ?

• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G11C 11/41 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliersÉléments d'emmagasinage correspondants utilisant des éléments électriques utilisant des dispositifs à semi-conducteurs utilisant des transistors formant des cellules avec réaction positive, c.-à-d. des cellules ne nécessitant pas de rafraîchissement ou de régénération de la charge, p. ex. multivibrateur bistable, déclencheur de Schmitt
• G11C 11/54 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliersÉléments d'emmagasinage correspondants utilisant des éléments simulateurs de cellules biologiques, p. ex. neurone
• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/049 - Réseaux neuronaux temporels, p. ex. éléments à retard, neurones oscillants ou entrées impulsionnelles
• G06T 3/40 - Changement d'échelle d’images complètes ou de parties d’image, p. ex. agrandissement ou rétrécissement

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors; neuromorphic data processors; integrated circuits; computer chips having a predefined architecture; computer software and hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and artificial intelligence.

Produits et services

(1) Electronic data processing apparatus namely computers; computer chips; integrated circuit computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; computer software for neuromorphic computing, namely software based on the structures, processes and capacities of biological brains for creating artificial neural networks; downloadable computer software development kits for designing and developing software applications in the fields of machine learning, cognitive computing, deep learning, artificial intelligence; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; downloadable computer software for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for use with artificial intelligence computer chips for designing and developing artificial intelligence computer systems; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software developments kits for machine learning, cognitive computing, deep learning, artificial intelligence; downloadable application programming interface (API) software for analyzing clinical data for scientific and medical research; downloadable software in the nature of a software widget for machine learning and for designing software applications using artificial intelligence;

Produits et services

(1) Research, consulting and design services in the field of developing computer software, namely, artificial intelligence, neural networks, neuromorphic computing, neuromorphic computations namely algorithmic approaches which emulate biological brain functions and software based on the structures, processes and capacities of biological brains to create artificial neural networks; technical support services, namely, troubleshooting of computer software problems; computer programming services for others; non-downloadable software widget for machine learning and for designing software applications using artificial intelligence; software as a service (SAAS) services featuring software for applications and interfaces for developers, namely, for the control and configuration of neuromorphic processor for Artificial Intelligence applications, and its associated user interface software; customization of web software, namely, application programming interface design for others;

Produits et services

(1) Electronic data processing apparatus namely computers; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; computer software for neuromorphic computing, namely software for replicating the processing of information in a manner which emulates biological human brain functions; downloadable computer software development kits for designing and developing software applications in the fields of machine learning, cognitive computing, deep learning, artificial intelligence; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; downloadable computer software for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software developments kits for machine learning, cognitive computing, deep learning, artificial intelligence; downloadable application programming interface (API) software for analyzing clinical data for scientific and medical research; downloadable software widget for machine learning and for designing software applications using artificial intelligence; (1) Research, consulting and design services concerning the development of computer software programs and architecture and computer hardware architecture; research, consulting and design services in the field of developing computer software for artificial intelligence, neural networks; computer network configuration services, namely, configuration of neuromorphic systems, neuromorphic computations and artificial neural networks; integration of computer hardware and software being computer services, namely, integration of computer software into computer hardware systems; computer software and hardware testing services; installation, updating and maintenance of computer software; computer programming services for others; providing online non-downloadable software for neuromorphic computing; providing online non-downloadable software for building artificial intelligence platforms; providing online non-downloadable software for machine learning, cognitive computing, deep learning and for designing software applications using artificial intelligence; platform as a service (PAAS) providing online non-downloadable application programming interface (API) software for analyzing clinical data for scientific and medical research; providing online non-downloadable software widget for machine learning and for designing software applications using artificial intelligence; software as a service (SAAS) services featuring software for use in computer software development kits for use by developers to create computer software applications and interfaces in the fields of machine learning, cognitive computing, deep learning, artificial intelligence; customization of web software, namely, application programming interface design for others; providing online non-downloadable computer software for neuromorphic computing, namely software for replicating the processing of information in a manner which emulates biological human brain functions;

Produits et services

(1) Electronic data processing apparatus namely computers; computer chips; integrated circuit computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; computer software for neuromorphic computing, namely software based on the structures, processes and capacities of biological brains for creating artificial neural networks; downloadable computer software development kits for designing and developing software applications in the fields of machine learning, cognitive computing, deep learning, artificial intelligence; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; downloadable computer software for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for use with artificial intelligence computer chips for designing and developing artificial intelligence computer systems; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software developments kits for machine learning, cognitive computing, deep learning, artificial intelligence; downloadable application programming interface (API) software for analyzing clinical data for scientific and medical research; downloadable software in the nature of a software widget for machine learning and for designing software applications using artificial intelligence;

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors being central processing units; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; downloadable computer software and computer hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips to design software applications; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, and for designing software applications using artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence Providing online non-downloadable computer software for information processing in which information is processed in a manner similar to the way the human brain processes information

Produits et services

Research, consulting and design services in the field of developing computer software, namely, artificial intelligence, neural networks; neuromorphic systems, neuromorphic computations and artificial neural networks related software; technical support services, namely, troubleshooting of computer software problems; computer programming services for others; non-downloadable software in the nature of a widget for machine learning and artificial intelligence; software as a service services featuring software for applications and interfaces for developers, namely, for the control and configuration of neuromorphic processor for Artificial Intelligence applications, and its associated user interface software; customization of web software, namely, application programming interface design for others

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors being central processing units; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; downloadable computer software and computer hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips to design software applications; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, and for designing software applications using artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence

Produits et services

Research, consulting and design services concerning the development of computer software programs and architecture and computer hardware architecture; research, consulting and design services in the field of developing computer software for artificial intelligence, neural networks; computer network configuration services, namely, configuration of neuromorphic systems, neuromorphic computations and artificial neural networks; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware and computer software problems; integration of computer hardware and software being computer services, namely, integration of computer software into computer hardware systems; computer software and hardware testing services; installation, updating and maintenance of computer software; computer programming services for others; providing online non-downloadable software for using artificial intelligence computer chips to design software applications; providing online non-downloadable software for neuromorphic computing; providing online non-downloadable software for building artificial intelligence platforms; providing online non-downloadable software for machine learning, cognitive computing, deep learning and for designing software applications using artificial intelligence; providing online non-downloadable application programming interface (API) software; providing online non-downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence; software as a service (SAAS) services featuring software for use in software development of applications and interfaces for developers; customization of web software, namely, application programming interface design for others; Providing online non-downloadable computer software for information processing in which information is processed in a manner similar to the way the human brain processes information

Produits et services

Electronic data processing apparatus; computer chips; computer chip sets; microchips; neuromorphic computer chips; semiconductor processor chips; computer hardware to enable artificial intelligence applications; computer hardware to enable neuromorphic computation; neural network processors being central processing units; neuromorphic data processors; integrated circuits; computers chips having a predefined architecture; downloadable computer software and computer hardware for information processing in which information is processed in a manner similar to the way the human brain processes information; downloadable computer software for designing and developing software applications; downloadable computer software application programs which implement software interfaces for designing and developing artificial intelligence software; electronic data processing apparatus for the delivery of an artificial intelligence platform based on neuromorphic computation; downloadable software for using artificial intelligence computer chips to design software applications; downloadable software for neuromorphic computing; downloadable software for building artificial intelligence platforms and artificial intelligence platforms based on neuromorphic computation; downloadable software for machine learning, cognitive computing, deep learning, and for designing software applications using artificial intelligence; downloadable application programming interface (API) software; downloadable software in the nature of a widget for machine learning and for designing software applications using artificial intelligence

Produits et services

Application service provider featuring application programming interface (API) software for the control and configuration of a proprietary neuromorphic processor for Artificial Intelligence applications, and its associated user interface software

Produits et services

Electronic data processing apparatus

Abrégé

Embodiments of the present invention provides a system and method of learning and classifying features to identify objects in images using a temporally coded deep spiking neural network, a classifying method by using a reconfigurable spiking neural network device or software comprising configuration logic, a plurality of reconfigurable spiking neurons and a second plurality of synapses. The spiking neural network device or software further comprises a plurality of user-selectable convolution and pooling engines. Each fully connected and convolution engine is capable of learning features, thus producing a plurality of feature map layers corresponding to a plurality of regions respectively, each of the convolution engines being used for obtaining a response of a neuron in the corresponding region. The neurons are modeled as Integrate and Fire neurons with a non-linear time constant, forming individual integrating threshold units with a spike output, eliminating the need for multiplication and addition of floating-point numbers.

Classes IPC  ?

• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G06N 3/08 - Méthodes d'apprentissage
• G11C 11/41 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliersÉléments d'emmagasinage correspondants utilisant des éléments électriques utilisant des dispositifs à semi-conducteurs utilisant des transistors formant des cellules avec réaction positive, c.-à-d. des cellules ne nécessitant pas de rafraîchissement ou de régénération de la charge, p. ex. multivibrateur bistable, déclencheur de Schmitt
• G11C 11/54 - Mémoires numériques caractérisées par l'utilisation d'éléments d'emmagasinage électriques ou magnétiques particuliersÉléments d'emmagasinage correspondants utilisant des éléments simulateurs de cellules biologiques, p. ex. neurone

Abrégé

Embodiments of the present invention provides a system and method of learning and classifying features to identify objects in images using a temporally coded deep spiking neural network, a classifying method by using a reconfigurable spiking neural network device or software comprising configuration logic, a plurality of reconfigurable spiking neurons and a second plurality of synapses. The spiking neural network device or software further comprises a plurality of user-selectable convolution and pooling engines. Each fully connected and convolution engine is capable of learning features, thus producing a plurality of feature map layers corresponding to a plurality of regions respectively, each of the convolution engines being used for obtaining a response of a neuron in the corresponding region. The neurons are modeled as Integrate and Fire neurons with a non-linear time constant, forming individual integrating threshold units with a spike output, eliminating the need for multiplication and addition of floating-point numbers.

Classes IPC  ?

• G06F 15/18 - dans lesquels un programme est modifié en fonction de l'expérience acquise par le calculateur lui-même au cours d'un cycle complet; Machines capables de s'instruire (systèmes de commande adaptatifs G05B 13/00;intelligence artificielle G06N)
• G06G 7/00 - Dispositifs dans lesquels l'opération de calcul est effectuée en faisant varier des grandeurs électriques ou magnétiques

Abrégé

Embodiments of the present invention provides a system and method of learning and classifying features to identify objects in images using a temporally coded deep spiking neural network, a classifying method by using a reconfigurable spiking neural network device or software comprising configuration logic, a plurality of reconfigurable spiking neurons and a second plurality of synapses. The spiking neural network device or software further comprises a plurality of user-selectable convolution and pooling engines. Each fully connected and convolution engine is capable of learning features, thus producing a plurality of feature map layers corresponding to a plurality of regions respectively, each of the convolution engines being used for obtaining a response of a neuron in the corresponding region. The neurons are modeled as Integrate and Fire neurons with a non-linear time constant, forming individual integrating threshold units with a spike output, eliminating the need for multiplication and addition of floating-point numbers.

Classes IPC  ?

• G06G 7/00 - Dispositifs dans lesquels l'opération de calcul est effectuée en faisant varier des grandeurs électriques ou magnétiques

Abrégé

Disclosed herein are system, method, and computer program product embodiments for an improved spiking neural network (SNN) configured to learn and perform unsupervised extraction of features from an input stream. An embodiment operates by receiving a set of spike bits corresponding to a set synapses associated with a spiking neuron circuit. The embodiment applies a first logical AND function to a first spike bit in the set of spike bits and a first synaptic weight of a first synapse in the set of synapses. The embodiment increments a membrane potential value associated with the spiking neuron circuit based on the applying. The embodiment determines that the membrane potential value associated with the spiking neuron circuit reached a learning threshold value. The embodiment then performs a Spike Time Dependent Plasticity (STDP) learning function based on the determination that the membrane potential value of the spiking neuron circuit reached the learning threshold value.

Classes IPC  ?

• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques

Abrégé

F, and a second output signal, different from the first one, for all other neurons. A digital electronic circuit and system configured for carrying out the above method.

Classes IPC  ?

• G06N 3/049 - Réseaux neuronaux temporels, p. ex. éléments à retard, neurones oscillants ou entrées impulsionnelles
• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G06N 3/088 - Apprentissage non supervisé, p. ex. apprentissage compétitif
• G06F 18/22 - Critères d'appariement, p. ex. mesures de proximité
• G06V 20/40 - ScènesÉléments spécifiques à la scène dans le contenu vidéo
• G06F 18/214 - Génération de motifs d'entraînementProcédés de Bootstrapping, p. ex. ”bagging” ou ”boosting”
• G06F 18/21 - Conception ou mise en place de systèmes ou de techniquesExtraction de caractéristiques dans l'espace des caractéristiquesSéparation aveugle de sources

Abrégé

Disclosed herein are system and method embodiments for establishing secure communication with a remote artificial intelligent device. An embodiment operates by capturing an auditory signal from an auditory source. The embodiment coverts the auditory signal into a plurality of pulses having a spatio-temporal distribution. The embodiment identifies an acoustic signature in the auditory signal based on the plurality of pulses using a spatio-temporal neural network. The embodiment modifies synaptic strengths in the spatio-temporal neural network in response to the identifying thereby causing the spatio-temporal neural network to learn to respond to the acoustic signature in the acoustic signal. The embodiment transmits the plurality of pulses to the remote artificial intelligent device over a communications channel thereby causing the remote artificial intelligent device to learn to respond to the acoustic signature, and thereby allowing secure communication to be established with the remote artificial intelligent device based on the auditory signature.

Classes IPC  ?

• G06N 3/08 - Méthodes d'apprentissage
• G06N 20/00 - Apprentissage automatique
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion

Abrégé

A method for creating a dynamic neural function library that relates to Artificial Intelligence systems and devices is provided. Within a dynamic neural network (artificial intelligent device), a plurality of control values are autonomously generated during a learning process and thus stored in synaptic registers of the artificial intelligent device that represent a training model of a task or a function learned by the artificial intelligent device. Control Values include, but are not limited to, values that indicate the neurotransmitter level that is present in the synapse, the neurotransmitter type, the connectome, the neuromodulator sensitivity, and other synaptic, dendric delay and axonal delay parameters. These values form collectively a training model. Training models are stored in the dynamic neural function library of the artificial intelligent device. The artificial intelligent device copies the function library to an electronic data processing device memory that is reusable to train another artificial intelligent device.

Classes IPC  ?

• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques

Abrégé

Embodiments of the present invention provide an artificial neural network system for improved machine learning, feature pattern extraction and output labeling. The system comprises a first spiking neural network and a second spiking neural network. The first spiking neural network is configured to spontaneously learn complex, temporally overlapping features arising in an input pattern stream. Competitive learning is implemented as Spike Timing Dependent Plasticity with lateral inhibition in the first spiking neural network. The second spiking neural network is connected with the first spiking neural network through dynamic synapses, and is trained to interpret and label the output data of the first spiking neural network. Additionally, the output of the second spiking neural network is transmitted to a computing device, such as a CPU for post processing.

Classes IPC  ?

• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G06N 3/08 - Méthodes d'apprentissage
• G06N 20/00 - Apprentissage automatique

Produits et services

Computer chips; Computer software and hardware for information processing in which information is processed in a manner similar to the way the human brain processes information, not for use for implantation into living creatures

Abrégé

Embodiments of the present invention provide an artificial neural network system for feature pattern extraction and output labeling. The system comprises a first spiking neural network and a second spiking neural network. The first spiking neural network is configured to autonomously learn complex, temporally overlapping features arising in an input pattern stream. Competitive learning is implemented as spike timing dependent plasticity with lateral inhibition in the first spiking neural network. The second spiking neural network is connected with the first spiking neural network through dynamic synapses, and is trained to interpret and label the output data of the first spiking neural network. Additionally, the labeled output of the second spiking neural network is transmitted to a computing device, such as a central processing unit for post processing.

Classes IPC  ?

• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

The present invention provides a system and method for controlling a device by recognizing voice commands through a spiking neural network. The system comprises a spiking neural adaptive processor receiving an input stream that is being forwarded from a microphone, a decimation filter and then an artificial cochlea. The spiking neural adaptive processor further comprises a first spiking neural network and a second spiking neural network. The first spiking neural network checks for voice activities in output spikes received from artificial cochlea. If any voice activity is detected, it activates the second spiking neural network and passes the output spike of the artificial cochlea to the second spiking neural network that is further configured to recognize spike patterns indicative of specific voice commands. If the first spiking neural network does not detect any voice activity, it halts the second spiking neural network.

Classes IPC  ?

• G10L 15/02 - Extraction de caractéristiques pour la reconnaissance de la paroleSélection d'unités de reconnaissance
• G10L 15/07 - Adaptation au locuteur
• G10L 25/78 - Détection de la présence ou de l’absence de signaux de voix
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/10 - Interfaces, langages de programmation ou boîtes à outils de développement logiciel, p. ex. pour la simulation de réseaux neuronaux
• G06F 3/16 - Entrée acoustiqueSortie acoustique
• G10L 25/30 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes caractérisées par la technique d’analyse utilisant des réseaux neuronaux
• G10L 15/08 - Classement ou recherche de la parole

Abrégé

A configurable spiking neural network based accelerator system is provided. The accelerator system may be executed on an expansion card which may be a printed circuit board. The system includes one or more application specific integrated circuits comprising at least one spiking neural processing unit and a programmable logic device mounted on the printed circuit board. The spiking neural processing unit includes digital neuron circuits and digital, dynamic synaptic circuits. The programmable logic device is compatible with a local system bus. The spiking neural processing units contain digital circuits comprises a Spiking Neural Network that handles all of the neural processing. The Spiking Neural Network requires no software programming, but can be configured to perform a specific task via the Signal Coupling device and software executing on the host computer. Configuration parameters include the connections between synapses and neurons, neuron types, neurotransmitter types, and neuromodulation sensitivities of specific neurons.

Classes IPC  ?

• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion

Produits et services

Computer hardware and software for information processing in which information is processed in a manner similar to the way the human brain processes information, not for use for implantation into living creatures; computer chips not for use for implantation into living creatures

Abrégé

A method for creating a dynamic neural function library that relates to Artificial Intelligence systems and devices is provided. Within a dynamic neural network (artificial intelligent device), a plurality of control values are autonomously generated during a learning process and thus stored in synaptic registers of the artificial intelligent device that represent a training model of a task or a function learned by the artificial intelligent device. Control Values include, but are not limited to, values that indicate the neurotransmitter level that is present in the synapse, the neurotransmitter type, the connectome, the neuromodulator sensitivity, and other synaptic, dendric delay and axonal delay parameters. These values form collectively a training model. Training models are stored in the dynamic neural function library of the artificial intelligent device. The artificial intelligent device copies the function library to an electronic data processing device memory that is reusable to train another artificial intelligent device.

Classes IPC  ?

• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06N 3/06 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone
• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques

Abrégé

A hierarchical information processing system is disclosed having a plurality of artificial neurons, comprised of binary logic gates, and interconnected through a second plurality of dynamic artificial synapses, intended to simulate or extend the function of a biological nervous system. The system is capable of approximation, autonomous learning and strengthening of formerly learned input patterns. The system learns by simulated Synaptic Time Dependent Plasticity, commonly abbreviated to STDP. Each artificial neuron consisting of a soma circuit and a plurality of synapse circuits, whereby the soma membrane potential, the soma threshold value, the synapse strength and the Post Synaptic Potential at each synapse are expressed as values in binary registers, which are dynamically determined from certain aspects of input pulse timing, previous strength value and output pulse feedback.

Classes IPC  ?

• G06N 5/00 - Agencements informatiques utilisant des modèles fondés sur la connaissance