Machine learning reveals hidden landscape of robust information storage

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Frontiers

Drug Discovery for Antimicrobial Resistance: From Target Discovery to Combination Design using experimental and AI approaches

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...
AZoQuantum

Can Quantum Computing Reduce the Cost of Failed Drug Candidates?

With its ability to enhance predictive accuracy, quantum computing may significantly lower R&D costs in pharmaceuticals by reducing candidate failures.
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
College of Computing - Georgia Tech

Department of Energy Award to Power Nuclear Research with Machine Learning

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Light may outshine quantum for some of computing's toughest optimization problems

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the ...