Researchers at Kobe University have developed an AI system that can detect acromegaly, a rare hormone disorder, by analyzing photos of the back of the hand and a clenched fist. The disease often ...

A camera is mounted in a white dome above a hallway, the kind of thing a student walks beneath hundreds of times without ever ...

A growing body of peer-reviewed research suggests that developing serious birdwatching skills does more than sharpen the ability to tell a warbler from a wren. Studies published across neuroscience, ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.

Abstract: The research proposes a new forensic face sketching and recognition system built on deep learning techniques to improve criminal identification capabilities. The method uses a mix of ...

Recent advancements in deep learning have significantly transformed weather recognition, enabling more accurate and real‐time interpretation of meteorological conditions from visual data. Techniques ...

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

When the Department of Homeland Security (DHS) released its 2025 AI Use Case Inventory Wednesday, it included the first official confirmation that Immigration and Customs Enforcement’s (ICE) ...

With residents this month debating use of facial recognition systems at some Connecticut grocery stores, state lawmakers from both parties plan to look into stopping that technology from being used in ...

The UK government pledged on Thursday to increase its use of facial recognition and biometrics to identify wanted suspects. The pledge came as part of a massive and poorly-communicated information ...

Face recognition is a dragnet surveillance technology and its expansion within law enforcement over the last 20 years has been marred by systematic invasions of privacy, inaccuracies, unreliable ...