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approaches from cell and developmental biology, evolutionary biology, and ecology with physical functional analyses based on bio-photonics, -thermodynamics, and -mechanics. We create structural variations
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deep-learning algorithms can now defeat Go masters. Yet, we are still far from understanding the general and flexible intelligence characteristic of humans. IRCN seeks answers in the underlying
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mechanics/molecular mechanics (QM/MM) calculations are used to examine chemical reactions occurred in enzymes. Furthermore, we develop novel simulation algorithms and new models for biomolecules to overcome
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of the 2026 academic year. In the AI era, this course is more important than ever. We need our students to learn the basic skills to survive in the forest of fake news, dummy websites, abusive algorithms and
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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency