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

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

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 ...