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Systems and methods for block-sparse recurrent neural networks
Described herein are systems and methods to prune deep neural network models in
reducing the overall memory and compute requirements of these models. It is demonstrated …
reducing the overall memory and compute requirements of these models. It is demonstrated …
Neural network processor incorporating inter-device connectivity
A Baum, O Danon, H Zeitlin, D Ciubotariu… - US Patent …, 2023 - Google Patents
US11675693B2 - Neural network processor incorporating inter-device connectivity - Google
Patents US11675693B2 - Neural network processor incorporating inter-device connectivity …
Patents US11675693B2 - Neural network processor incorporating inter-device connectivity …
Structured weight based sparsity in an artificial neural network compiler
A Baum, O Danon, D Chibotero - US Patent 11,615,297, 2023 - Google Patents
(57) ABSTRACT A novel and useful system and method of improved power performance
and lowered memory requirements for an artificial neural network based on packing memory …
and lowered memory requirements for an artificial neural network based on packing memory …
Structured activation based sparsity in an artificial neural network
A Baum, O Danon, D Chibotero, G Nahor - US Patent 11,544,545, 2023 - Google Patents
(57) ABSTRACT A novel and useful system and method of improved power performance
and lowered memory requirements for an arti ficial neural network based on packing …
and lowered memory requirements for an arti ficial neural network based on packing …
Mutual information adversarial autoencoder
(57) ABSTRACT A method for generating an object includes: providing a dataset having
object data and condition data; processing the object data to obtain latent object data and …
object data and condition data; processing the object data to obtain latent object data and …
Structured weight based sparsity in an artificial neural network
A Baum, O Danon, D Chibotero, G Nahor - US Patent 11,551,028, 2023 - Google Patents
(57) ABSTRACT A novel and useful system and method of improved power performance
and lowered memory requirements for an arti ficial neural network based on packing …
and lowered memory requirements for an arti ficial neural network based on packing …
Weights safety mechanism in an artificial neural network processor
G Kaminitz, R Seznayov, D Chibotero, O Katz… - US Patent …, 2023 - Google Patents
2020-09-29 Assigned to Hailo Technologies Ltd. reassignment Hailo Technologies Ltd.
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …
Neural network memory computing system and method
HY Jung, HW Kim, HJ Song, ES Chung… - US Patent …, 2021 - Google Patents
Provided are a neural network memory computing system and method. The neural network
memory computing system includes a first processor configured to learn a sense-making …
memory computing system includes a first processor configured to learn a sense-making …
Memory management in memory augmented deep neural networks
Memory augmented neural networks may use one or more neural encoders to transform
input data into distributed representations and a memory module to store the represen …
input data into distributed representations and a memory module to store the represen …
Systems and methods for use with recurrent neural networks
A Bazarsky, A Navon, O Pele - US Patent App. 17/184,371, 2022 - Google Patents
Recurrent Neural Networks (RNNs) wherein a non-volatile memory (NVM) array provides a
memory bank for the RNN. The RNN may be a Neural Turning Machine (NTM) and the …
memory bank for the RNN. The RNN may be a Neural Turning Machine (NTM) and the …