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

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

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

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 ...

What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...

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

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...

MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.

New research explores how artificial intelligence foundation models trained on electronic health record data can be tested to ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...

Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...