About IDEaS
IDEaS works across campus to advance fundamentals of Data Science, Artificial Intelligence (AI), Machine Learning (ML), and High-Performance Computing (HPC) and their application to arts, sciences, and engineering.
The expertise of our faculty and staff support data-driven discoveries in all fields including physical and social sciences, engineering, and data-driven decision making in public affairs and infrastructure management.
Serving as a hub, IDEaS promotes collaboration and communication between the many centers and units on campus relevant to AI, ML and HPC, the researchers working in these areas across all parts of Georgia Tech, the University System of Georgia, and external partners.
Research Areas
Foundations of AI and ML
The Foundations of AI research area focuses on topics such as AI theory, AI systems, and combinations of reasoning and learning, that are foundational to all areas and applications of AI.
AI and ML for Science and Engineering
AI/ML in Science and Engineering uses AI and machine learning closely integrated with scientific theories, experiments, and high-performance computing, to accelerate scientific discovery and foundational contributions
AI for Health and Life Sciences
AI for Health and Life Sciences integrates advanced computational intelligence to fundamentally transform the biomedical ecosystem, driving innovation from foundational research and discovery through the delivery of personalized, accessible, and operationally efficient healthcare systems.
Scientific Computing
Scientific Computing is the development and use of computer algorithms and software to perform simulations of relevance to science and engineering.