A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

If you’ve ever watched a heist movie, you know the drill: before the actual robbery, the crew runs through simulations, testing security systems, identifying weak points, and rehearsing their approach ...

The past decade has witnessed remarkable advances in computational power, algorithms, and theoretical methods, enabling accurate modeling and prediction of ...

Positron Emission Tomography (PET) has become an indispensable tool in medical imaging, providing unique insights into the physiological processes of the ...

Denica Riadini-Flesch proves that its farm-to-closet model can reverse the negative environmental effects of fast fashion ...

From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

AI refers to a machine-based system and ML refers to a set of techniques that can be used to train AI algorithms (2) so ML ...

As a tangible step, Honda plans to operate its demonstration line for solid-state battery production to validate and refine ...

A prompt is the set of instructions you give an AI model. It dictates what the system does and how it responds. Unlike humans, AI cannot infer intent from tone or guess unspecified needs today.

Scientists have developed a cancer vaccine that stopped three different types of aggressive tumors from growing in mice.

Six Sigma, a quality-control methodology first developed for manufacturing, is now used by business and organizations of all ...

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.