Anthropic's Claude Opus 4.6 surfaced 500+ high-severity vulnerabilities that survived decades of expert review. Fifteen days later, they shipped Claude Code Security. Here's what reasoning-based ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

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

While the statement, "Humanoid robots are coming," might cause anxiety for some, for one Georgia Tech research team, working with humanlike robots couldn't be more exciting. The researchers have ...

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 ...

AI technology analyzes 24 hours of brain wave data in seconds, a task that takes trained specialists two hours to complete.

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 ...

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 ...

Abstract: Automatic fall detection will promote independent living and reduce the consequences of falls in the elderly by ensuring people can confidently live safely at home for linger. In laboratory ...