Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

An Dang, Special to The Denisonian Denison will debut a new minor in machine learning and artificial intelligence next semester. This program is designed to give students in technical fields a ...

Two researchers from the U.S. Department of Energy’sArgonne National Laboratory have won 2025 Early Career Research Program awards from the DOE Office of Science. David Kaphan and Yong Zhao .... - ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

Science is a subject built on doing. Students learn chemistry through titrations, biology through dissections, physics ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

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

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

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

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