"Physics-Motivated and Inspired Probabilistic Learning"
Shibo Li
Department of Computer Science,
Florida State University (FSU)
Wednesday, Sep 2, 2026
- Colloquium - 499 DSL Seminar Room
- 03:30 to 04:30 PM Eastern Time (US and Canada)
Abstract:
AI has emerged as the most transformative and revolutionary technique, reshaping many aspects of our lives. Its intersection with science, particularly physics, has opened new avenues for understanding our world and universe. This understanding is grounded in centuries of exploration by brilliant minds. Physics studies today predominantly rely on rigorous methods founded on universal physical laws. I will discuss integrating advanced learning techniques, notably Bayesian machine learning, into computational physics in this presentation. This integration is crucial in an interdisciplinary field that combines mathematics, physics, and computer science to address meaningful, real-world problems. As the first principle, physics offers novel techniques and insights for tackling complex tasks in complex, structured data analysis. I envision synergizing physics and probabilistic learning to create a formidable tool for exploring new frontiers.
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 shibo_li.jpg | Shibo Li | 140 kB |
