Georgia Tech researchers have created a tool that detects AI-hallucinated citations in legal documents.

Jiayun (Peter) Wang began his tenure-track career at Georgia Tech on Oct. 15. He is an assistant professor in the School of Computational Science and Engineering (CSE) specializing in computer vision and AI for healthcare, biology, and science.

Architectural backdoors in AI models appear harder to exploit reliably under real-world image processing. Georgia Tech researchers developed FAULT to evaluate these threats beyond controlled demonstrations.

ML@GT congratulates all of this year's presenters and award winners.

School of CSE researchers Kai Wang and B. Aditya Prakash are PIs of a $1.2 million NIH R01 grant to build AI models that consider individual, social, and system factors when treating patients with Type 2 Diabetes and other chronic illnesses.

Georgia Tech AI experts partner with Panama’s science, technology, and innovation agency to develop a national vision for artificial intelligence and advanced technologies.

Georgia Tech researchers found that instruction changes can reduce chatbots’ reinforcement of delusional beliefs.

NSF AI4OPT and NSF AI-ALOE will advance AI-powered decision-making, adaptive expertise, education, and workforce development.

Team Atlanta’s AI cybersecurity work has advanced from a competition victory to real-world vulnerability discovery. Former members continue this work through Microsoft products and Georgia Tech research.

AIHUB@CAU is combining academic programs, faculty development and research partnerships to prepare students for advanced study and careers in the field of artificial intelligence.

The project will explore how an AI coach can help middle school students experiment with physics, develop STEM skills, and build confidence through creative problem-solving.

As Georgia Tech and Emory invest more than $1 billion in artificial intelligence, Tech AI connects organizations with Georgia Tech expertise to turn AI opportunities into practical solutions.

Researchers find that deleted local AI chats may remain recoverable from a phone’s memory through a new tool called ORISA.

The three-year initiative gives researchers greater access to AI tools, training, and computing power to help accelerate scientific breakthroughs.

Ashley Ni first came to BridgeUP STEM as a high school student, joining in the 2024-2025 academic year. Now she is a computer science student, returning to the program as a Helen Fellow and serving as the first BridgeUP STEM participant to experience the