Research
IDEaS works across campus to improve research workflows by advancing fundamentals and applications of AI, machine learning, algorithms, high-performance computing.
Research at IDEaS Focuses on Five Main 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.
Partners, Resources, and Initiatives
The Institute for Data Engineering and Science (IDEaS) supports interdisciplinary research in emerging fields and in identified areas of need. IDEaS provides support to researchers across campus, and across universities, with access to national computational, cloud, commercial and institutional assets for computational research needs as well as via as direct seed funding and compute capacity support.