The Mathematical Modeling & Artificial Intelligence Laboratory (MMA Lab.), launched in April 2025, explores mathematical structures and universal laws underlying complex systems through an interdisciplinary perspective that spans physics, biology, and information science. We utilize model-independent mathematical concepts such as "symmetry" and "topology" to capture the essential nature common to seemingly diverse phenomena.
The Mathematical Modeling & Artificial Intelligence Laboratory (MMA Lab.) is looking for motivated graduate students. You can join the lab through either the Master's and Doctoral Programs in Intelligent and Mechanical Interaction Systems or the Doctoral Program in Empowerment Informatics. If you're interested or just curious, feel free to contact Hirono.
2026/08/28 Hirono gave an invited talk at the SIMIS-APCTP Meeting: AI Methods in Theoretical Physics in Shanghai, China.
2026/08/17 Hirono gave an invited talk at the International Congress of Basic Science 2026 (ICBS 2026) in Beijing, China.
2026/07/13–15 We organized the international conference Machine Learning Physics 2026 (MLPhys2026) in Naha, Okinawa, Japan.
2026/07/09 Hirono gave an invited talk at the workshop Emergent Phenomena in Quantum Matter: From Symmetry to Dynamics at the Yukawa Institute for Theoretical Physics, Kyoto University.
2026/06/12 We organized the workshop Generative Science: Exploring Science in the Era of Generative AI at the University of Tsukuba Tokyo Campus. Researchers from physics, biology, mathematics, and other fields discussed the future of science in the era of generative AI.
2026/06/04 Our paper “Effective field theory for dissipative photons from higher-form symmetries” was published in Journal of High Energy Physics.
2026/03/17 Hirono gave a tutorial lecture at the RIKEN TRIP Workshop: ML Applications in Nuclear Physics.
2026/03/04 Hirono gave a talk at MSCS2026.
2026/02/20 Hirono gave a talk at the workshop Physics Meets AI.
2026/02/17 Our paper “Self-similar inverse cascade from generalized symmetries” was published in Physical Review Letters. A press release is also available.
2026/02/10 We organized the workshop Interfaces of control theory, biology, and machine learning.
2026/01/23 Our paper “An Internal Model Principle for Biochemical Networks: Algebraic and Topological Characterization for Maximal Robust Perfect Adaptation” was published in IEEE Control Systems.
2026/01/02 Our paper “Effective field theory for dissipative photons from higher-form symmetries” was posted on arXiv.
筑波大学 システム情報系 知能機能工学域 数理科学・AI研究室
〒305-8577 茨城県つくば市天王台1-1-1
Department of Intelligent Interaction Technologies, Institute of Systems and Information Engineering, University of Tsukuba
1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan