Integrative structural biology in the era of accurate AI-based structure prediction @%E8%A8%88%E7%AE%97%E7%A7%91%E5%AD%A6e%E3%83%A9%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E3%82%A2%E3%83%BC%E3%82%AB%E3%82%A4%E3%83%96%E3%83%81%E3%83%A3
Integrative structural biology in the era of accurate AI-based structure prediction @%E8%A8%88%E7%AE%97%E7%A7%91%E5%AD%A6e%E3%83%A9%E3%83%BC%E3%83%8B%E3%83%B3%E3%82%B0%E3%82%A2%E3%83%BC%E3%82%AB%E3%82%A4%E3%83%96%E3%83%81%E3%83%A3
Uploaded November 2024 | Updated September 2026, 2 hours ago
Science by Computing: Classical, AI/ML Invited Talk (DAY-1 : Jan 29, 2024)
Jan Kosinski (EMBL, Hamburg)

The 6th R-CCS International Symposium
r-ccs.riken.jp/R-CCS-Symposium/2024
Integrative structural biology in the era of accurate AI-based structure predictionOverview and Current Status of the FugakuNEXT projectNon-Orthogonal Configuration Interaction for Fragments at ExascaleApplication of AI and physics-based modeling to enhance disaster science計算生命科学の基礎10 ｜保険診療で行われるがん遺伝子パネル検査のビッグデータの利活用 ②Earth Observation Data Analysis Using Machine Learning (Part 1)Introduction to HPC: Parallel Programming with MPI and OpenMP (Part 1)Theoretical spectroscopy of materials: optical absorption by first-principles simulations”Resource Fair”Computing for the Future at R-CCS: AI for Science, Quantum-HPC Hybrid, and Fugaku NEXT ②Systems for Scientific Discovery in the Age of AIMolecular Dynamics Simulations: From Scientific Challenges to Accelerated HPC Codes (Part 1)
計算科学eラーニングアーカイブチャンネル |

"Integrative structural biology in the era of accurate AI-based structure prediction"

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