Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
EurekAlert!

Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...

China Telecom Releases AI Semantic Encoding Technology to Empower 6G Integrated Communication

In the wave of digital transformation, China Telecom has once again broken through technological boundaries through ...
UMass Lowell

Catalog : EECE.5480 Coding and Information Theory (Formerly 16.548)

Probabilistic measure of information. Introduction to compression algorithms including L-Z, MPEG, JPEG, and Huffman encoding. Determination of the information handling capacity of communication ...

Rongchuang Intelligent Applies for AI Human-Machine Interaction Patent, Multimodal Emotion Recognition Technology Upgraded

According to the latest information from the National Intellectual Property Administration, Yunnan Rongchuang Intelligent Technology Co., Ltd. applied for a patent titled "An Artificial ...
EurekAlert!

New study in IEEE/CAA Journal of Automatica Sinica describes convolutional neural network framework to predict remaining useful life in machines

Modern industries require efficient and reliable machinery. To ensure the stability of industrial equipment and avoid unnecessary downtime, it is important to gauge a machine’s remaining useful life ...