The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...

Digital Intelligence offers a practical framework for reducing decision latency by connecting industrial data, enterprise ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

A develops brand algorithms by looking at both online and offline data points to determine who to reach and where to target ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than ...

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.

The recommendation algorithm of the platform X (formerly Twitter) can measurably change the political attitudes of its users. This is the conclusion of a study published in the journal Nature. The ...