Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Wildfire seasons that once felt exceptional are now routine, and the smoke they generate is emerging as a far more potent ...

Artificial intelligence (AI) is revolutionising the field of drug discovery and disease modelling, with a significant impact ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Encapsulated microbubbles (EMBs), tiny gas-filled bubbles coated in lipid or protein shells, play a central role in ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.