October 22, 2026
AI Improves Diabetes Care One Decision at a Time
5 min read
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.
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October 20, 2026
Where Are They Now? Team Atlanta Takes AI Cybersecurity Beyond the Competition
6 min read
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.
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October 9, 2026
BridgeUP STEM Scholar Returns as Helen Fellow to Research AI in Mental Healthcare
3 min read
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
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October 6, 2026
Georgia Tech Announces New Online Master’s Degree in Artificial Intelligence
3 min read
New degree aims to prepare professionals to apply AI responsibly in their field.
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September 30, 2026
AI & Society Events to Examine Real-World Trade Offs Behind AI
3 min read
Artificial intelligence may operate in the digital world, but it leaves a massive and very real physical and societal footprint. What does AI’s rapid growth mean for the future of humanity? How can it be steered towards a more prosperous future for all?
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September 28, 2026
Georgia Tech AI Symposium Connects Research and the Future Workforce
6 min read
The challenges of turning artificial intelligence research into useful tools brought Georgia Tech researchers, educators, students, and industry leaders together Sept. 28 at Exhibition Hall for the Tech AI Symposium.
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September 28, 2026
Can a Machine or AI Agent Be Surprised? Helping Autonomous Systems Respond to the Unexpected
3 min read
Researchers at Georgia Tech's H. Milton Stewart School of Industrial and Systems Engineering (ISyE) are rethinking how intelligent systems recognize and respond to the unexpected.
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