With heat waves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information four to seven weeks before summer, ...

Thanks to AI, data science tasks that once demanded specialized skills can now be performed faster, more accurately and at a ...

Recent advances in computational biomechanics and digital modeling have unlocked new opportunities for analyzing and understanding human movement in sports ...

Scientists from Duke-NUS Medical School and their collaborators have created one of the most comprehensive single cell maps ...

The Indian Institute of Technology-Madras announced a breakthrough artificial intelligence framework that can rapidly ...

Virtual screening methods fall broadly into two categories: ligand- and structure-based. Ligand-based virtual screening doesn’t require a target protein structure, Instead, it leverages known active ...

AI in Computer-Aided Synthesis Planning Market reached USD 2.13 bn in 2024 and is expected to grow rapidly to USD 68.06 bn by ...

Mathematics is deemed to be beyond figures. It is described as the foundation of resilience in society.

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

SandboxAQ (Palo Alto, Calif.) today announced the release of AQCat25-EV2, a novel quantitative AI model trained on the AQCat25 dataset, representing an ...

A new computational method now makes it possible to calculate the forces between large molecules with unprecedented accuracy.