Georgia Tech’s Rogues Gallery is a hidden powerhouse of experimental computing where students, faculty, and global partners test early-stage hardware—from cutting-edge AI accelerators to novel ...

Georgia Tech continues to excel in the world’s premier student programming competition. Computer science Ph.D. student Xieting  (Creatix) Chu placed first in the Third International Collegiate ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Artificial intelligence (AI) is rapidly reshaping how software is built, and increasingly, how it’s taught. At the 2026 ...

“These proposals represent more than $13 million, with one $350,000 award already funded and another major submission cycle still ahead. Kodi’s growth reflects not only increasing expertise, but also ...

College of Computing School of Computational Science and Engineering School of Computer Science School of Interactive Computing School of Cybersecurity and Privacy ...

Georgia Tech’s Center for Research into Novel Computing Hierarchies (CRNCH) is hosting its eighth annual CRNCH Summit this week. The 2026 summit will take place Feb. 12 and 13 in the Klaus Advanced ...

At Georgia Tech, computing is taken seriously. Founded in 1990, the College of Computing represented just the second computing college at top U.S. universities, and its commitment to that continues to ...

Unlike terrestrial infrastructure, which has been studied and planned for decades, low earth orbit (LEO) networks lack ...

School of Interactive Computing Chair and Professor Shaowen Bardzell and Professor Munmun De Choudhury have been named ...

Abstract: Sampling from a target probability distribution is fundamental to modern computational science and machine learning. Sampling is the essence of Monte Carlo integration, enables uncertainty ...

Abstract: Gradient-based data attribution methods, such as influence functions, are critical for understanding the impact of individual training samples without repeated model retraining. However, ...