Physics-informed AI learns local rules behind flocking and collective motion behaviors

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...
NatureOpinion

Machine learning reveals potential consequences of cuts to US research

Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants ...
Communications of the ACMOpinion

Not Every AI Problem Is a Data Problem

Large language models (LLMs) have revolutionized the AI landscape, demonstrating remarkable capabilities across a wide range ...
IEEE

Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling

Abstract: Thermal Infrared detection is widely used in autonomous driving, medical AI, etc., but its security has only attracted attention recently. We propose infrared adversarial clothing designed ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...