Recently, there has been convergence of thought by researchers in the fields of memory, perception, and neurology that the ...

Tesla has found a way to squeeze more life out of its aging Hardware 3 computer, patenting a “clever math trick” that ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).

Abstract: A convolutional neural network (CNN)-based architecture for the optimization of demodulation reference signal (DMRS) patterns is proposed for 5G new radio systems. The proposed architecture ...

AI in medical imaging market growth is driven by deep learning advancements, personalized medicine, lack of radiologists, and AI integration in telemedicine. It faces challenges like high costs, data ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently verified manually after each race. Researchers at University of Tsukuba have ...

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...