Deep learning, knowledge agents: How D-FW companies are upping their game with AI

From deep learning for medical research to a variety of self-service knowledge agents, D-FW companies continue to up their ...
IEEE

Partial Differential Equations Meet Deep Neural Networks: A Survey

Abstract: Many problems in science and engineering can be mathematically modeled using partial differential equations (PDEs), which are essential for fields like computational fluid dynamics (CFD), ...
IEEE

Understanding Error Propagation in Deep-Learning Neural Networks’ Accelerators and Applications

Abstract: Editor’s notes: This article reviews some of the first experiments on deep neural networks to analyze the propagation of soft errors from hardware to the ...
GitHub

neural-networks-from-scratch

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing ...
C&EN

Prediction of Methane Adsorption Isotherms in Metal–Organic Frameworks by Neural Networks: Two-Dimensional Energy Gradient Feature and Masked Learning Mechanism

School of Chemistry, Chemical Engineering & Life Sciences, Wuhan University of Technology, Wuhan 430070, China ...
C&EN

Deep Learning-Enabled Unbiased Precision Toxicity Assessment of Zebrafish Organ Development

School of Energy and Environment, State Key Laboratory of Marine Environmental Health, City University of Hong Kong, Kowloon, Hong Kong, China Research Centre for the Oceans and Human Health, City ...