Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...

AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, personalization, and predictive performance seamlessly.

Abstract: Existing fall detection based on radar point cloud faces the challenges of low resolution point cloud estimation and sparsity, which seriously restricts the system detection performance.

How can California State University, Northridge student athletes enhance their performances? Learning how to get a good night ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

This video demonstrates Minecraft gameplay mechanics involving the use of an Elytra and an Ender Pearl within the Nether environment. When the player's flight equipment fails unexpectedly, a rescue ...

A Texas-based smartwatch company claims Apple and other major tech firms are infringing on its patented fall detection technology, reports AppleInsider. UnaliWear of Austin, Texas, filed a complaint ...

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, ...

Abstract: In long-term care facilities and retirement resi-dences, falls constitute a paramount health challenge for the geriatric demographic. A plurality of technologies have been investigated for ...