Tech Xplore

Optical system uses diffractive processors to achieve large-scale nonlinear computation

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...
Psychology Today

How a Mind Emerges From Mindless Things

A new book by one of the founders of research on neural networks covers more than 40 years of scientific work that led to the ...
IEEE

Effect of Parallel Data Processing Model on Bi-Directional English-Khimtagne Machine Translation Using Deep Learning

Abstract: Neural Machine Translation (NMT) is a key application of Natural Language Processing (NLP) that allows text to be translated automatically from one natural language to another without the ...
IEEE

PIK-Convolution: Step Convolution Acceleration based on Multi-GPU Architecture

SimpleConvolution is the most important and time-consuming part of convolutional neural networks (CNN) for image processing. Each slide of the window in two-dimensional convolution will cause repeated ...
C&EN

Mechanochromic Building Blocks with a Dynamic Chemical Cross-Linking Network in Shape Memory Polycaprolactone: A Model Strategy for Integrating Reversibility, Repeatability ...

Center of Excellence in Bioresources to Advanced Materials (B2A-CE), The Petroleum and Petrochemical College, Chulalongkorn University, Bangkok 10330, Thailand ...