MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Patients wearing just four sensors — on each thigh, the lower back and upper back — can get accurate real-time, AI-driven ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder ...

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...

Learn about the differences between public vs private cloud deployment models. Understand key differences, costs, security, ...

New technical analysis highlights the growing dominance of software over sensor-only camera innovation SAN MATEO, Calif., Jan. 20, 2026 /PRNewswire-PRWeb/ -- Glass Imaging, a leader in AI-driven ...

Internal emails, texts, slide decks, and deposition testimony show how Microsoft went from being sidelined at OpenAI’s ...

When artificial intelligence fails, it rarely does so because of flawed algorithms. The real fault line lies upstream, in ...

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...

AI developers consider it crucial to replicate dance. Human dancers say they can’t. Our tests show the dancers are right — for now, at least.