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.

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.

Liao selected as one of the 93 early career scientists from across the country who are receiving a combined $135 million in DOE funding

Physicists from Georgia Tech and around the country shared their AI and ML research successes, and heard presentations from NSF and NASA officials on the funding landscape for proposals that include the technologies.

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

The Georgia Tech Integrated Cancer Research Center has combined machine learning with information on blood metabolites to develop a new early diagnostic test that detects ovarian cancer with 93 percent accuracy.

A new study co-led by Anna (Anya) Ivanova highlights how human neuroscience is paving the way for AI innovation — and what AI can teach us about ourselves.