Math and AI Group
Advancing the development of an open infrastructure for AI and the future of mathematics
A Frontier for Mathematics
Growing attention to advancements in AI impacting the field of mathematics requires new involvement from the scientific community. To preserve an intellectually independent, open and creative scientific culture for future generations, we must decide how to integrate increasingly powerful AI systems with the work of mathematicians and scientists.
We envision institutions banding together in a larger consortium to provide mathematicians and scientists with access to frontier AI models that are calibrated to support research and the future of science and mathematics. Such systems would have strong confidentiality protections and provide the ability to test and reproduce research claims, and they would be integrated with an overarching program to ensure optimal training for future mathematicians and a stable basis for the underpinnings of discovery across the sciences.
Read ‘Will It Be a Golden Age or a Dark Age for Mathematics?’
AI Campus Partners
Math and AI works closely with the NSF Institute for Foundations of Machine Learning, based at UT Austin.
Collaborators at Courant
Mathematics and AI at Courant, based at New York University, is a close collaborator.
Open Mathematics
The Open Mathematics Consortium brings together mathematicians from multiple universities seeking to advance a frontier model for our field.
Rachel Ward
Ward is the W.A "Tex" Moncrief Distinguished Professor in Computational Engineering and Sciences — Data Science and a Professor of Mathematics at UT Austin. From 2017-2018, she was a visiting research scientist at Facebook AI Research. She is recognized for her contributions to sparse approximation, stochastic optimization, and numerical linear algebra.
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Francesco Maggi
Francesco Maggi is a professor in and chair of the Department of Mathematics at The University of Texas at Austin.
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Adam Klivans
Adam Klivans is the Director of AI Initiatives for the School of Computing. A professor in the Department of Computer Science, he leads the NSF AI Institute for Foundations of Machine Learning (IFML), the Machine Learning Lab, Center for Generative AI and the UT Online Master’s in AI program.
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