Tech Xplore

Signal-folding design helps neuromorphic chip slash AI energy use

Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze ...
IEEE

ARBiBench: Benchmarking and Analyzing Adversarial Robustness of Binarized Convolutional Neural Networks

Abstract: Binarized convolutional neural networks (BCNNs), which restrict the weights and activations of the model to + 1 or −1, provide notable reductions in memory requirements and enhanced model ...
GitHub

Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography

This code was written in Matlab. It was tested on a PC with a Windows 10 operation system, Matlab R2016a, Microsoft Visual C++ 2012, and a GeForce GTX 970 GPU card. Because the code used the ...
MIT Technology Review

The next generation of neural networks could live in hardware

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...