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

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

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

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

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

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

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms Ra’anana, ...

New research explores how artificial intelligence foundation models trained on electronic health record data can be tested to prevent threats to patient privacy and protect against re-identification ...

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