Renowned mathematician Terence Tao recently presented a fascinating lecture at the University of California, Los Angeles, exploring the rapid advancements in machine-assisted mathematical research. Tao discussed the significant impact of formal proof assistants, large language models, online collaborative platforms, and their interactions on the future of mathematical practices.

Recorded on February 10, 2026, at IPAM’s AI for Science Kickoff, Tao’s presentation, ‘Machine assistance and the future of research mathematics,’ sheds light on the evolving landscape of mathematical research. As machine-assisted tools continue to mature, they are poised to revolutionize the way mathematicians work, collaborate, and discover new concepts.

This emerging paradigm is expected to significantly influence the practices of mathematical research, enabling scientists to tackle complex problems with unprecedented efficiency and accuracy. As the mathematical community embraces these innovations, we can anticipate significant breakthroughs and a profound impact on various fields of study.

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