Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...
A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...
The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...
Wind and solar power have grown faster than almost anyone predicted but projecting their future expansion remains ...
Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...
Artificial intelligence has moved rapidly from academic research into industrial practice, but its adoption in nuclear engineering remains under cautious review. This reticence is not ideological but ...
As foundation models, including large language models and multimodal models, are increasingly deployed in complex and high-stakes settings, ensuring their safety has become more important than ever.