A recent study from researchers at Queen Mary University of London and University College London has drawn attention after ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

A new AI dataset teaches machines to smell by associating smell data with images, letting models match odors to objects, ...

A machine learning framework can distinguish molecules made by biological processes from those formed through non-biological ...

Security agencies have been using facial and object recognition tools to enhance safety monitoring, particularly in metros.

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap ...

The course begins in January 2026, and students interested in learning about image recognition, speech recognition, and ...

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs ...

MassRobotics survey offers a snapshot of current practices, challenges, and future expectations about sensor fusion, AI ...