Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Recommender systems suggest potentially relevant content by evaluating user preferences and are essential in reducing ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

Researchers discover how to identify and "teach" tacit knowledge by tracking eye movements and brain activity, potentially revolutionizing how we learn complex skills.

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

In the last few days, Qwen then set off real fireworks with new models. Qwen started with the large models Qwen3.5-122B-A10B, ...

Motor imagery or imagined limb movements can power brain–computer interface (BCI) devices, such as prostheses and wheelchairs, supporting rehabilitation for people with neuromusculoskeletal disorders.

Led by Dr Ashim Chakraborty, senior lecturer in computing and artificial intelligence at Anglia Ruskin University, the study ...

Motor imagery (MI) is the mental process of imagining a specific limb movement, such as raising a hand or walking, without physically performing it. These imagined movements generate distinct patterns ...