AI for astrophysics: Algorithms help chart the origins of heavy elements Machine learning predictions successfully model atomic masses of nuclide chart Peer-Reviewed Publication DOE/Los Alamos ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

By incorporating machine learning models, technical indicator analysis, and advanced quantitative trading strategies, a Bitcoin trading prediction algorithm based on machine learning and technical ...

The Machine Learning in Economics Summer Conference will be held at the University of Chicago on August 11–12, 2025. MLESC brings together researchers working at the intersection of machine learning ...