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Patent # Description
2019/0042958 AUTOMATED IMAGE ANALYSIS TO ASSESS REPRODUCTIVE POTENTIAL OF HUMAN OOCYTES AND PRONUCLEAR EMBRYOS
A computer system automatically converts a set of training images of cells (e.g., oocytes or pronuclear embryos) and related outcome metadata into a...
2019/0042956 AUTOMATIC CONFIGURABLE SEQUENCE SIMILARITY INFERENCE SYSTEM
An embodiment of a semiconductor package apparatus may include technology to test a target query for one or more similarity metrics over a range of parameters...
2019/0042955 DISTRIBUTED AND CONTEXTUALIZED ARTIFICIAL INTELLIGENCE INFERENCE SERVICE
Various systems and methods of initiating and performing contextualized AI inferencing, are described herein. In an example, operations performed with a...
2019/0042954 POWER DISTRIBUTION TRANSFORMER LOAD PREDICTION ANALYSIS SYSTEM
A system can generate a heavy load pre-warning or an overload pre-warning for distribution transformers. Operation of the system can include selecting data...
2019/0042953 FILTER FOR HARMFUL TRAINING SAMPLES IN ONLINE LEARNING SYSTEMS
A computing method receives a labeled sample from an annotator. The method may determine a plurality of reference model risk scores for the first labeled...
2019/0042952 Multi-task Semi-Supervised Online Sequential Extreme Learning Method for Emotion Judgment of User
It discloses multi-task semi-supervised online sequential extreme learning method for emotion recognition of user, including establishing multiple channels at...
2019/0042951 ANALYSIS OF COMPUTING ACTIVITIES USING GRAPH DATA STRUCTURES
Techniques are disclosed relating to training a model based a graph data structure. A graph data structure comprising a plurality of objects may be accessed,...
2019/0042950 LEARNING COMPUTING ACTIVITIES AND RELATIONSHIPS USING GRAPHS
Techniques are disclosed relating to building a graph data structure based on information associated with a plurality of services available over a network. The...
2019/0042949 METHODOLOGY FOR PORTING AN IDEAL SOFTWARE IMPLEMENTATION OF A NEURAL NETWORK TO A COMPUTE-IN-MEMORY CIRCUIT
A semiconductor chip is described. The semiconductor chip includes a compute-in-memory (CIM) circuit to implement a neural network in hardware. The...
2019/0042948 METHOD AND APPARATUS FOR GENERATING FIXED-POINT QUANTIZED NEURAL NETWORK
A method of generating a fixed-point quantized neural network includes analyzing a statistical distribution for each channel of floating-point parameter values...
2019/0042947 OPTIMIZING NEURAL NETWORKS FOR RISK ASSESSMENT
Certain embodiments involve generating or optimizing a neural network for risk assessment. The neural network can be generated using a relationship between...
2019/0042946 TRIGGERED OPERATIONS TO IMPROVE ALLREDUCE OVERLAP
An embodiment of a semiconductor package apparatus may include technology to embed one or more trigger operations in one or more messages related to collective...
2019/0042945 METHODS AND ARRANGEMENTS TO QUANTIZE A NEURAL NETWORK WITH MACHINE LEARNING
Logic may quantize a primary neural network. Logic may generate, by a secondary neural network logic circuitry for a primary neural network logic circuitry,...
2019/0042944 ARTIFICIAL NEURAL NETWORK TRAINING USING FLEXIBLE FLOATING POINT TENSORS
Thus, the present disclosure is directed to systems and methods for training neural networks using a tensor that includes a plurality of FP16 values and a...
2019/0042943 COOPERATIVE NEURAL NETWORK DEEP REINFORCEMENT LEARNING WITH PARTIAL INPUT ASSISTANCE
Deep reinforcement learning of cooperative neural networks can be performed by obtaining an action and observation sequence including a plurality of time...
2019/0042942 HYBRID SPIKING NEURAL NETWORK AND SUPPORT VECTOR MACHINE CLASSIFIER
System and techniques for a spiking neural network and support vector machine hybrid classifier are described herein. A first set of sensor data may be...
2019/0042941 RECONFIGURABLE FABRIC OPERATION LINKAGE
Techniques are disclosed for reconfigurable fabric operation linkage. A first function to be performed on a reconfigurable fabric is determined, where the...
2019/0042940 INFORMATION PROCESSING APPARATUS AND COMPONENT ESTIMATION METHOD
A component estimation method that is executed by a computer, includes, generating a first learning model based on image data of a component and transaction...
2019/0042939 CIRCUITRY FOR LOW-PRECISION DEEP LEARNING
The present disclosure relates generally to techniques for improving the implementation of certain operations on an integrated circuit. In particular, deep...
2019/0042938 SIMULTANEOUS MULTI-CLASS LEARNING FOR DATA CLASSIFICATION
The disclosure presents herein a method to train a classifier in a machine learning using more than one simultaneous sample to address class imbalance problem...
2019/0042937 METHODS AND APPARATUS FOR FEDERATED TRAINING OF A NEURAL NETWORK USING TRUSTED EDGE DEVICES
Methods, apparatus, systems and articles of manufacture for federated training of a neural network using trusted edge devices are disclosed. An example system...
2019/0042936 TECHNIQUES TO MANAGE TRAINING OR TRAINED MODELS FOR DEEP LEARNING APPLICATIONS
Examples include techniques to manage training or trained models for deep learning applications. Examples include routing commands to configure a training...
2019/0042935 DYNAMIC QUANTIZATION OF NEURAL NETWORKS
An apparatus for applying dynamic quantization of a neural network is described herein. The apparatus includes a scaling unit and a quantizing unit. The...
2019/0042934 METHODS AND APPARATUS FOR DISTRIBUTED TRAINING OF A NEURAL NETWORK
Methods, apparatus, systems and articles of manufacture for distributed training of a neural network are disclosed. An example apparatus includes a neural...
2019/0042933 PREDICTIVE NEURAL NETWORK WITH SENTIMENT DATA
A set of vectors may be obtained. The vectors may be multi-dimensional vectors that are associated with and describe tokens from a first set of tokens from a...
2019/0042932 Techniques and Architectures for Deep Learning to Support Security Threat Detection
Techniques and mechanisms for deep learning. A number of available tokens is reduced from a first-dimension space to tokens in a lower dimension space with a...
2019/0042931 Systems And Methods Of Sparsity Exploiting
Disclosed is a neuromorphic integrated circuit including, in some embodiments, a multi-layered neural network disposed in an analog multiplier array of...
2019/0042930 NEUROMORPHIC ACCELERATOR MULTITASKING
Systems and techniques for neuromorphic accelerator multitasking are described herein. A neuron address translation unit (NATU) may receive a spike message....
2019/0042929 THREE DIMENSIONAL CIRCUIT IMPLEMENTING MACHINE TRAINED NETWORK
Some embodiments provide a three-dimensional (3D) circuit structure that has two or more vertically stacked bonded layers with a machine-trained network on at...
2019/0042928 COMPUTE-IN-MEMORY CIRCUIT HAVING A MULTI-LEVEL READ WIRE WITH ISOLATED VOLTAGE DISTRIBUTIONS
An apparatus is described. The apparatus includes a compute in memory circuit. The compute in memory circuit includes a memory circuit and an encoder. The...
2019/0042927 ITERATIVE NORMALIZATION FOR MACHINE LEARNING APPLICATIONS
An embodiment of a semiconductor package apparatus may include technology to process one or more vectors with a sum of squares operation with a layer of a...
2019/0042926 DEEP COMPRESSED NETWORK
An embodiment of a semiconductor package apparatus may include technology to apply a low rank factorization to a weight matrix of a decision network to...
2019/0042925 METHODS AND ARRANGEMENTS TO MANAGE MEMORY IN CASCADED NEURAL NETWORKS
Logic may reduce the size of runtime memory for deep neural network inference computations. Logic may determine, for two or more stages of a neural network, a...
2019/0042924 HYPERBOLIC FUNCTIONS FOR MACHINE LEARNING ACCELERATION
The present disclosure relates generally to techniques for enhancing recurrent neural networks (RNNs) implemented on an integrated circuit. In particular,...
2019/0042923 SYSTEM AND METHOD FOR AN OPTIMIZED WINOGRAD CONVOLUTION ACCELERATOR
One embodiment provides a compute apparatus to perform machine learning operations, the compute apparatus comprising a hardware accelerator including a compute...
2019/0042922 DEEP NEURAL NETWORK ARCHITECTURE USING PIECEWISE LINEAR APPROXIMATION
In one embodiment, an apparatus comprises a log circuit to: identify an input associated with a logarithm operation, wherein the logarithm operation is to be...
2019/0042921 MULTI-LAYER NEURAL NETWORKS USING SYMMETRIC TENSORS
Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a...
2019/0042920 SPIKING NEURAL NETWORK ACCELERATOR USING EXTERNAL MEMORY
System configurations and techniques for implementation of a neural network in neuromorphic hardware with use of external memory resources are described...
2019/0042919 SYSTEMS AND METHODS FOR PREDICTING QUALITATIVE RATINGS FOR ADVERTISEMENTS BASED ON MACHINE LEARNING
Systems, methods, and non-transitory computer readable media can determine a representation of an advertisement based on a first machine learning model. The...
2019/0042918 REMOTE USAGE OF MACHINE LEARNED LAYERS BY A SECOND MACHINE LEARNING CONSTRUCT
Techniques are disclosed for remote usage of machine learned layers by a second machine learning construct. Layers determined within a first machine learning...
2019/0042917 TECHNIQUES FOR DETERMINING ARTIFICIAL NEURAL NETWORK TOPOLOGIES
Various embodiments are generally directed to techniques for determining artificial neural network topologies, such as by utilizing probabilistic graphical...
2019/0042916 Reward-Based Updating of Synaptic Weights with A Spiking Neural Network to Perform Thermal Management
Thermal management of a computing device is achieved using reward-based updating of synaptic weights of a spiking neural network. The thermal management is...
2019/0042915 PROCEDURAL NEURAL NETWORK SYNAPTIC CONNECTION MODES
Systems and techniques for procedural neural network synaptic connection modes are described herein. A synapse list header may be loaded based on a received...
2019/0042914 LOGICAL ENTANGLEMENT DEVICE FOR GOVERNING AI-HUMAN INTERACTION
A process of using a logical entanglement device such as a non-volatile logic gate as a failsafe to constrain the behavior of an autonomous machine controlled...
2019/0042913 MEMORYLESS WEIGHT STORAGE HARDWARE FOR NEURAL NETWORKS
Various systems, devices, and methods for operating on a data sequence. A system includes a set of circuits that form an input layer to receive a data...
2019/0042912 TIME BORROWING BETWEEN LAYERS OF A THREE DIMENSIONAL CHIP STACK
Some embodiments of the invention provide a three-dimensional (3D) circuit structure that uses latches to transfer signals between two bonded circuit layers....
2019/0042911 SYSTEM AND METHOD FOR LEARNING THE STRUCTURE OF DEEP CONVOLUTIONAL NEURAL NETWORKS
A recursive method and apparatus produce a deep convolution neural network (CNN). The method iteratively processes an input directed acyclic graph (DAG)...
2019/0042910 SPIKE TIMING DEPENDENT PLASTICITY IN NEUROMORPHIC HARDWARE
System and techniques for spike timing dependent plasticity (STDP) in neuromorphic hardware are described herein. A first spike may be received, at a first...
2019/0042909 RECONFIGURABLE NEURO-SYNAPTIC CORES FOR SPIKING NEURAL NETWORK
In one embodiment, a processor comprises a first neuro-synaptic core comprising first circuitry to configure the first neuro-synaptic core as a neuron core...
2019/0042908 APPARATUS AND METHODS FOR GENERATING CONTEXT-AWARE ARTIFICIAL INTELLIGENCE CHARACTERS
Example apparatus and methods for generating context-aware artificial intelligence characters are disclosed. An example apparatus to animate an artificial...
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