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 ...

Oxford Instruments launches Imaris 11, boosting research productivity with clear workflow-driven image analysis for ...

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 ...

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

Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

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

AI or Artificial Intelligence refers to a technology designed to perform tasks that typically require human intelligence.

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

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

Enabled Intelligence named BAE Systems, Vantor and Whiteboard Federal as partners under the SEQUOIA AI/ML data labeling ...