Abstract Lifelong Deep Neural Network (L-DNN) technology revolutionizes Deep Learning
by enabling fast, post-deployment learning without extensive training, heavy computing …

US11562213B2 - Methods and arrangements to manage memory in cascaded neural
networks - Google Patents US11562213B2 - Methods and arrangements to manage …

Embodiments of a deep learning enabled generative sensing and feature regeneration
framework which integrates low-end sensors/low quality data with computational …

Methods and systems for training a neural network include sampling multiple local sub-
networks from a global neural network. The local sub-networks include a subset of neurons …

Embodiments of the present invention are directed to providing new systems and methods
for using deep learning techniques to generate embeddings for high dimensional data …

A new approach is proposed to support efficient convolution for deep learning by vectorizing
multi-dimensional input data for multi-dimensional fast Fourier transform (FFT) and direct …

One embodiment provides for a system to configure distributed training of a neural network.
The system includes memory to store a library to facilitate transmission of data during …

Apparatus and associated methods relate to training a neural network on a first host system,
sending the neural network to a second host system, training the neural network by the …

A hardware-based programmable deep learning processor (DLP) is proposed, wherein the
DLP comprises with a plurality of accelerators dedicated for deep learning processing …

An edge computing platform with machine learning capability is provided between a local
network with a plurality of sensors and a remote network. A machine learning model is …