A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Two years ago, a handful of assisted living facilities in metro Phoenix added a new member to the team to help reduce resident falls. His name is Paul, and he's an AI-powered motion detector. Why it ...
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: 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.
ANCHORAGE, Alaska (KTUU/Gray News) - A 15-year-old boy from Alaska broke his back in a snowmachine crash that resulted in a 30-foot fall. His family is now telling his story and raising awareness.
Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
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 ...
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