The Decade Ahead: Building Frontier AI Systems for Science and the Path to Zettascale @%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
The Decade Ahead: Building Frontier AI Systems for Science and the Path to Zettascale  @%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 of Computing: Classical, AI/ML Invited Talk (DAY-2 : Jan 30, 2024)
"The Decade Ahead: Building Frontier AI Systems for Science and the Path to Zettascale"
Rick Stevens (Argonne NL | U Chicago)

The 6th R-CCS International Symposium
r-ccs.riken.jp/R-CCS-Symposium/2024
The Decade Ahead: Building Frontier AI Systems for Science and the Path to Zettascale”ADVANCED DISTRIBUTED-MEMORY PROGRAMMING Section II : Cartesian Virtual Topologies②Molecular dynamics simulations of biomolecular systems using GENESIS (Part 1)AuroraGPT/Eval: Establishing a methodology to evaluate LLMs/FMs as Research Assistants”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
計算科学eラーニングアーカイブチャンネル |

"The Decade Ahead: Building Frontier AI Systems for Science and the Path to Zettascale"

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER