Systems and methods to enable continual, memory-bounded learning in artificial intelligence and deep learning continuously operating applications across networked …

M Luciw, S Olivera, A Gorshechnikov, J Wurbs… - US Patent …, 2024 - Google Patents
Abstract Lifelong Deep Neural Network (L-DNN) technology revolutionizes Deep Learning
by enabling fast, post-deployment learning without extensive training, heavy computing …

Systems and methods to enable continual, memory-bounded learning in artificial intelligence and deep learning continuously operating applications across networked …

M Luciw, S Olivera, A Gorshechnikov… - US Patent App. 18 …, 2024 - Google Patents
Abstract Lifelong Deep Neural Network (L-DNN) technology revolutionizes Deep Learning
by enabling fast, post-deployment learning without extensive training, heavy computing …

Systems and methods for implementing flexible, input-adaptive deep learning neural networks

M Zhang, F Biyi, X Zeng - US Patent App. 16/997,885, 2021 - Google Patents
US20210056357A1 - Systems and methods for implementing flexible, input-adaptive deep
learning neural networks - Google Patents US20210056357A1 - Systems and methods for …

Self-sufficient artificial intelligence edge devices

H Yu, CJ Torng, DH Liu - US Patent App. 16/050,679, 2020 - Google Patents
BACKGROUND [0002] Deep learning models that are trained and deployed with
convolutional neural networks (CNNs) may include many convolutional layers, pooling …

Systems and methods for distributed training of deep learning models

D Moloney - US Patent 11,580,380, 2023 - Google Patents
US11580380B2 - Systems and methods for distributed training of deep learning models -
Google Patents US11580380B2 - Systems and methods for distributed training of deep learning …

Targeted incremental growth with continual learning in deep neural networks

JK Baker, BJ Baker - US Patent 11,836,600, 2023 - Google Patents
BACKGROUND Machine learning systems, especially deep neural networks, have been
very successful in recent years. However, many problems remain. For example, current …

Multi-die dot-product engine to provision large scale machine learning inference applications

C Warner, ES Lee, SR Chalamalasetti… - US Patent …, 2024 - Google Patents
Abstract Systems and methods are provided for a multi-die dot-product engine (DPE) to
provision large-scale machine learning inference applications. The multi-die DPE leverages …

Multi-die dot-product engine to provision large scale machine learning inference applications

C Warner, ES Lee, SR Chalamalasetti… - US Patent App. 18 …, 2024 - Google Patents
Abstract Systems and methods are provided for a multi-die dot-product engine (DPE) to
provision large-scale machine learning inference applications. The multi-die DPE leverages …

Methods and arrangements to manage memory in cascaded neural networks

B Choe, K Park, S Byun - US Patent 11,562,213, 2023 - Google Patents
US11562213B2 - Methods and arrangements to manage memory in cascaded neural
networks - Google Patents US11562213B2 - Methods and arrangements to manage …

Deep learning architecture for edge computing system

V Viswanathan, S Natarajan - US Patent 11,599,376, 2023 - Google Patents
US11599376B1 - Deep learning architecture for edge computing system - Google Patents
US11599376B1 - Deep learning architecture for edge computing system - Google Patents …