Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

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 ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

The U.S. Deep Learning Chipset Market is estimated at USD 3.73 billion in 2025 and is projected to reach USD 53.62 billion by 2035, growing at a CAGR of 30.59% from 2026–2035. Rapid adoption of AI ...

Bridging speed and accuracy in radiation therapy QA Led by Professor Fu Jin, the study addresses a critical challenge in ...