AI for molecular simulations may not need built-in physics to deliver strong results

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Exclusive: Google deepens Thinking Machines Lab ties with new multibillion-dollar deal

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
MIT Technology Review

Does AI know too much?

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
IEEE

A Comprehensive Review of Machine Learning Approaches for Semiconductor Device Modeling and Simulation

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...