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

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.

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 ...

Offered on the Coos Campus (1988 Newmark Ave., Coos Bay), the program provides hands-on, career-focused training for students preparing for high-demand jobs in trucking, maritime, forestry, and other ...

Slip and falls among older adults and people in certain occupations can impact health and productivity and even risk permanent injury or death. What if there was a way to protect people from slips 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 ...