Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Abstract: Falls among the elderly represent a significant public health concern due to their prevalence, consequences, and societal burden. While deep learning has improved fall detection, accurately ...

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’s sleep may be the answer. A team of CSUN students is conducting research ...

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 ...