27 patents
Utility
Performing Inference And Training Using Sparse Neural Network
31 Aug 23
An inference system trains and performs inference using a sparse neural network.
Subutai Ahmad, Luiz Scheinkman
Filed: 4 May 23
Utility
Displacement Processor For Inferencing And Learning Based On Sensorimotor Input Data
17 Aug 23
Described herein are apparatus and methods for performing inference into the identity of an object.
Jeffrey Charles Hawkins, Marcus Anthony Lewis
Filed: 27 Apr 23
Utility
Location processor for inferencing and learning based on sensorimotor input data
23 May 23
An inference system performs inference, such as object recognition, based on sensory inputs generated by sensors and control information associated with the sensory inputs.
Jeffrey C. Hawkins, Marcus Anthony Lewis
Filed: 25 Jun 20
Utility
Sparse distributed representation for networked processing in predictive system
16 May 23
A processing node in a temporal memory system includes a spatial pooler and a sequence processor.
Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
Filed: 26 Nov 19
Utility
Temporal Processing Scheme and Sensorimotor Information Processing
13 Apr 23
Embodiments relate to a processing node in a temporal memory system that performs temporal pooling or processing by activating cells where the activation of a cell is maintained longer if the activation of the cell were previously predicted or activation on more than a certain portion of associated cells in a lower node was correctly predicted.
Jeffrey C. Hawkins, Subutai Ahmad, Yuwei Cui, Chetan Surpur
Filed: 18 Nov 22
Utility
Hardware Architecture for Processing Tensors with Complementary Sparsity
5 Jan 23
A hardware accelerator that is efficient at performing computations related to tensors.
Kevin Lee Hunter, Lawrence Spracklen, Subutai Ahmad
Filed: 1 Jul 22
Utility
Hardware Architecture for Processing Tensors with Activation Sparsity
5 Jan 23
A hardware accelerator that is efficient at performing computations related to tensors.
Kevin Lee Hunter, Lawrence Spracklen, Subutai Ahmad
Filed: 1 Jul 22
Utility
Complementary Sparsity In Processing Tensors
5 Jan 23
A hardware accelerator that is efficient at performing computations related to tensors.
Kevin Lee Hunter, Lawrence Spracklen, Subutai Ahmad
Filed: 1 Jul 22
Utility
Temporal processing scheme and sensorimotor information processing
27 Dec 22
Embodiments relate to a processing node in a temporal memory system that performs temporal pooling or processing by activating cells where the activation of a cell is maintained longer if the activation of the cell were previously predicted or activation on more than a certain portion of associated cells in a lower node was correctly predicted.
Jeffrey C. Hawkins, Subutai Ahmad, Yuwei Cui, Chetan Surpur
Filed: 26 Apr 19
Utility
Performing Inference and Signal-to-noise Ratio Based Pruning to Train Sparse Neural Network Architectures
28 Jul 22
A sparse neural network is trained such that weights or layer outputs of the neural network satisfy sparsity constraints.
Marcus Anthony Lewis, Subutai Ahmad
Filed: 20 Apr 21
Utility
Temporal memory using sparse distributed representation
8 Mar 22
A processing node in a temporal memory system includes a spatial pooler and a sequence processor.
Jeffrey C. Hawkins, Ronald Marianetti, II, Anosh Raj, Subutai Ahmad
Filed: 4 Mar 19
Utility
Feedback Mechanisms In Sequence Learning Systems with Temporal Processing Capability
3 Mar 22
Embodiments relate to a first processing node that processes an input data having a temporal sequence of spatial patterns by retaining a higher-level context of the temporal sequence.
Jeffrey C. Hawkins, Subutai Ahmad
Filed: 5 Nov 21
Utility
Feedback mechanisms in sequence learning systems with temporal processing capability
7 Dec 21
Embodiments relate to a first processing node that processes an input data having a temporal sequence of spatial patterns by retaining a higher-level context of the temporal sequence.
Jeffrey C. Hawkins, Subutai Ahmad
Filed: 3 Dec 19
Utility
Inferencing and Learning Based on Sensorimotor Input Data
2 Dec 21
One or more multi-layer systems are used to perform inference.
Jeffrey C. Hawkins, Subutai Ahmad
Filed: 20 Jul 21
Utility
Inferencing and learning based on sensorimotor input data
24 Aug 21
One or more multi-layer systems are used to perform inference.
Jeffrey C. Hawkins, Subutai Ahmad
Filed: 5 Feb 19
Utility
Anomaly detection in spatial and temporal memory system
10 Aug 21
Detecting patterns and sequences associated with an anomaly in predictions made a predictive system.
Jeffrey C. Hawkins, Rahul Agarwal
Filed: 14 Jul 16
Utility
Inferencing and Learning Based on Sensorimotor Input Data
1 Jul 21
Embodiments relate to performing inference, such as object recognition, based on sensory inputs received from sensors and location information associated with the sensory inputs.
Jeffrey C. Hawkins, Subutai Ahmad, Yuwei Cui, Marcus Anthony Lewis
Filed: 11 Mar 21
Utility
Performing Inference and Training Using Sparse Neural Network
27 May 21
An inference system trains and performs inference using a sparse neural network.
Subutai Ahmad, Luiz Scheinkman
Filed: 26 Nov 19
Utility
Inferencing and learning based on sensorimotor input data
13 Apr 21
Embodiments relate to performing inference, such as object recognition, based on sensory inputs received from sensors and location information associated with the sensory inputs.
Jeffrey C. Hawkins, Subutai Ahmad, Yuwei Cui, Marcus Anthony Lewis
Filed: 12 May 17
Utility
Displacement Processor For Inferencing And Learning Based On Sensorimotor Input Data
21 Oct 20
Described herein are apparatus and methods for performing inference into the identity of an object.
Jeffrey Charles Hawkins, Marcus Anthony Lewis
Filed: 14 Apr 20