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Explore insights, ideas, and innovations from AI at Georgia Tech—where research meets real-world impact.

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Intelligent Malware Detection Using Static Analysis

This project explores a novel approach to malware detection by analyzing file structure with Graph Neural Networks. By leveraging control flow graphs and Voltage Park’s GPU infrastructure, the team aims to build accurate, real-time models that could transform how malicious files are identified and prevented.

RAG Chatbot for Georgia Tech

AI@GT has a number of projects that club members work on that are designed to solve problems. This blog will focus on a project by Veer Guda and his team that focused on the problem of GT resources being scattered and difficult to find. They tackled this by making an AI model. To learn about the technical details, continue reading.