“The potential of combining HPC and AI to push scientific boundaries drives me to explore new ways of leveraging these technologies together to unlock breakthroughs that neither could achieve alone. It is no exaggeration to say that the fusion of HPC and AI fuels my career path, allowing me to work at the forefront of scientific innovation.”
Vanguards of HPC-AI: ORNL’s Dr. Feiyi Wang – Unlocking HPC-AI Breakthroughs that Neither Could Do Alone
January 23, 2025 by
Vanguards of HPC-AI: Sandia’s Siva Rajamanickam — AI for Science That ‘Outpaces Predictions’
December 19, 2024 by
“I am passionate about working in the broad areas of machine learning for science, codesign of algorithms and architectures, performance portable algorithms, and combinatorial scientific computing. I focus on ….”
Meta FAIR and VSParticle Launch Catalyst Database Designed to Accelerate Clean Energy Transition
November 20, 2024 by
Delft, 20th November 2024: In a bid to accelerate the transition to clean energy in the fight against climate change, VSParticle (VSP) – a Dutch nanotechnology engineering company – today announced the first results from a collaboration with Meta’s Fundamental AI Research (FAIR) team, and the University of Toronto (UofT). The collaboration brings together VSP’s […]
Breaking the ICE at Livermore: ICECap to Use Exascale Fusion Simulations for Digital Design
October 17, 2024 by
A multidisciplinary team of Lawrence Livermore National Laboratory researchers is combining the power of exascale computing with AI, advanced workflows and GPU-acceleration with the intent to advance scientific innovation and revolutionize digital design.
Lenovo Launches ‘100%’ Liquid Cooled Platforms with Nvidia for GenAI
October 15, 2024 by
Lenovo called the 6th generation ThinkSystem N1380 Neptune a “vertical liquid cooling breakthrough” that supports accelerated computing while reducing power consumption by up to 40 percent… Lenovo, of course, has long been active in liquid cooling ….
Sept. 29 Registration Deadline for ALCF Virtual Intro to AI-driven Science on Supercomputers
September 13, 2024 by
Sept. 13, 2024: The Argonne Leadership Computing Facility will host a seven-week virtual training series for undergraduates and graduates on the fundamentals of applying world-class supercomputers to advance the use of AI for research. Please share this opportunity with university students that you think will be interested. The series will be held on Tuesdays from […]
DOE Announces $68M for AI for Scientific Research
September 9, 2024 by
September 5, 2024, WASHINGTON, D.C. – The U.S. Department of Energy announced $68 million in funding for 11 AI for science multi-institution projects, comprising 43 awards lasting up to three years, with $20 million in Fiscal Year 2024 dollars and outyear funding contingent on congressional appropriations. The list of projects and more information can be […]
DOE Announces AI for Science Roadmap
July 16, 2024 by
Washington, DC, July 16, 2024 — The U.S. Department of Energy announced a roadmap for the Frontiers in Artificial Intelligence for Science, Security, and Technology (FASST) in which the agency and its 17 national labs “aims to build the world’s most powerful integrated scientific AI systems for science, energy, and national security, in collaboration with […]
Oak Ridge Lab: Researchers Use AI for Autonomous Discovery and Optimization of Materials
June 11, 2024 by
Researchers are developing ways to accelerate discovery by combining automated experiments, artificial intelligence and high-performance computing. A novel tool developed at Oak Ridge National Laboratory that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision. This autonomous materials synthesis tool uses pulsed laser deposition, or PLD, to deposit […]
NERSC Call for Proposals: Generative AI for Science, April 1 Deadline
March 1, 2024 by
NERSC is inviting proposals for projects that will leverage NERSC’s Perlmutter supercomputer to push the state of the art in Generative AI (GenAI) and deep learning for science and produce novel science outcomes. We are specifically seeking teams with expertise using deep learning for science, a deep understanding of the scientific domain, and demonstrated proofs-of-concept. NERSC staff […]
