A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Vinay Sharma et Olga Fink, du Laboratoire IMOS, ont développé une IA capable de simuler des systèmes complexes tout en ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Quantum software startup Classiq Technologies Ltd. said today it has partnered with Comcast Corp. and Advanced Micro Devices Inc. to showcase how quantum computers can dramatically enhance network ...

Drug discovery pipelines are notorious for being costly, slow, and failure-prone, leading to AI and machine learning becoming more commonplace to accelerate progress and improve outcomes. Currently, ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and interact with the world.

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...