A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

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.

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 ...

“We’re doing a lot more than just sitting in a classroom. Students get hands-on training with specialized tools and modern diesel systems in a professional shop,” said Terry Cheyne, program lead and ...

The MarketWatch News Department was not involved in the creation of this content. Wearable Fall Detector Market Set to Reach USD 3.7 Billion by 2035, Driven by Aging Population and AI-Enabled ...

Investigation stems from a complaint filed by Texas-based company UnaliWear, and targets several other wearables. Here are the details. In recent years, the Apple Watch has faced multiple patent ...

Fall detection wearable specialist UnaliWear says that Apple Watch and just about every other smartwatch ever made infringes on its fall detection patents. It's in for a long and costly battle. There ...

The system integrates a multimodal fall detection framework combining inertial, proprioceptive, and acoustic sensing, along with an improved stance phase detection algorithm.KIMLAB Researchers in the ...

Florida State and Florida A&M universities both saw an increase in early applications for the fall 2026 semester. FAMU received 12,930 early action applications, a 6% increase from the previous year.