The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

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 ...

Kathmandu, Feb. 23 -- In the month before Nepal's parliamentary elections, popular Facebook pages with a combined six million ...

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

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.

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 ...

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 ...

SEOCHO-GU, SEOUL, SOUTH KOREA, December 31, 2025 / EINPresswire.com / — Mippia (CEO Chanho Oh) announced plans to pursue global standardization of its AI-based music plagiarism detection platform, ...