Nebius AI at the frontiers of physics and maths
Blog post from Nebius
Researchers at the London Institute for Mathematical Sciences are utilizing donated computing resources from Nebius AI to advance various projects in theoretical physics and mathematics through machine learning. Dr. Evgeny Sobko is employing AI to explore quantum integrable models, enhancing the ability to detect and solve these systems, which, although not representative of real-world quantum systems, are crucial for developing new scientific techniques. Dr. Mikhail Burtsev is expanding input context size for transformer models and developing DNA language models, with a focus on refining knowledge graphs to improve data accuracy and efficiency. Prof. Yang-Hui He is pioneering AI applications in pure mathematics and theoretical physics to explore string theory's vast possibilities, exemplified by the discovery of the Murmuration Conjectures in number theory. Additionally, Andrey Fedosyeyev is leading a metascience project to map research fields and identify closely related projects through semantic analysis of UKRI grants and arXiv papers. The Nebius AI resources are significantly accelerating these diverse research initiatives, demonstrating the intersection of AI and theoretical sciences.
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