MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

AI’s appeal lies in its ability to handle high-impact, low-probability events. Extreme weather disasters fall squarely into ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

The Paragon Health Institute, a conservative health policy think tank, has launched an AI Initiative that will deliver market ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

Robots have long excelled at repetitive factory work welding, picking, placing, and packaging yet they’ve struggled with the ...

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms ...

A wearable AI neck device translates silent throat vibrations into fluent speech, improving communication and satisfaction ...

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...