The new theory brings together work from mathematics and computer science, greatly increasing the tools available to both fields.

By developing modeling techniques that can be applied to reactions at multiple scales, McDaniel aims to expand scientist’s ability to predict and model chemical reactions, and how they interact with their environments.

Newly announced AI Hub at Georgia Tech will unite AI entities across campus, enabling the Institute to align on goals to become an international thought leader in AI.

Physicists have developed a new model and clearer picture of molecular movements within active matter — bringing science a step closer to designing specific functions into new materials, and understanding emergent behaviors.

In a new study, Georgia Tech researchers investigated whether 25 rare gene variants known to be associated with inflammatory bowel disease (IBD) play a role in risk for African Americans.

A $630,000 NSF CAREER grant will help Rocklin continue his research into developing a new universal theory for a group of flexible solids that blur the traditional definition of what a solid is.

Robel will create a new open-access software package — complete with state-of-the-art tools and paired with ice sheet models that anyone can use, even on a laptop or home computer.

Not constrained to any one project, the funding is meant to empower award recipients to push forward on any foundational challenges to computer science.

Georgia Tech's machine learning experts, including an assistant professor in the School of Mathematics, are sharing their knowledge at the International Conference on Machine Learning.

Rather than functioning as a tool, as many AIs currently do, TEAMMAIT will act more as a human teammate would,  providing constructive feedback and helping mental healthcare workers develop and learn new skills