Allen Institute and University of Washington postdoctoral researcher Denis Turcu uses computational models to study how the ...
McGill University researchers have developed a light-detecting nanoscale structure that mimics how a neuron processes ...
This reporting guide helps investigative journalists understand some of the nitty-gritty of the technology underlying AI and ...
What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...
Abstract: Neural-network computational modules have recently gained recognition as an unconventional and useful tool for RF and microwave modeling and design. Neural networks can be trained to learn ...
F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Network Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67 ...
The subject is, to many, rather dry. What exactly is a Neural Network? But the presenter has certainly managed to grab a massive audience. She is Zara Dar, a Texas-born engineer and content creator, ...
Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results