This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive ...

The bias-variance trade-off is crucial for achieving an optimally performing supervised learning model. Bias is the ...

Grok, the artificial intelligence (AI) chatbot embedded in Elon Musk’s X, is back in the headlines after calling itself ...

In a world increasingly shaped by artificial intelligence, the question of how machines make decisions under uncertain ...

ChatGPT Might Be Draining Your Brain: Cognitive Debt in the AI Era‘. In it, Alex McFarland outlined the findings from an MIT ...

Benchmarks drive many areas of research forward, and this is indeed the case for two areas of research that I engage with: ...

Technological advances and new tools may offer the best chance to help underdeveloped blood deserts in the short term.

Building high-performance AI and machine learning teams has become one of the most critical challenges facing engineering managers in 2025. Companies across every industry are rushing to integrate ...

How do we weigh competing values when outcomes are uncertain? What constitutes reasonable choice when perfect information is ...

With PhysicsGen, MIT researchers enhance robot learning by generating thousands of simulations from minimal human input, ...

Chinese media tested the driver-assist systems of 36 cars in real highway situations and had a wide range in results, but ...