Last year at about this time, we discussed the state of HPC and the Aurora ....

The post @HPCpodcast: Aurora Exascale Update and Other HPC-AI Topics with Argonne’s Rick Stevens and Mike Papka appeared first on High-Performance Computing News Analysis | insideHPC.

The Exascale Comuting Project’s ExaWind suite of computational fluid dynamics codes are designed to develop predictive simulations of wind farms that contain dozens of megawatt-class turbines spread across 30 square miles. Using the Frontier exascale supercomputer at the Oak Ridge Leadership Computing Facility, the ExaWind team performed some of the highest fidelity wind energy simulations […]

The post ExaWind: Wind Turbine CFD Simulation on Frontier Exascale appeared first on High-Performance Computing News Analysis | insideHPC.

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 […]

The post DOE Announces AI for Science Roadmap appeared first on High-Performance Computing News Analysis | insideHPC.

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 […]

The post Oak Ridge Lab: Researchers Use AI for Autonomous Discovery and Optimization of Materials appeared first on High-Performance Computing News Analysis | insideHPC.

The AI Index Report from Stanford's Institute for Human-Centered AI is out, it's an annual,  thoroughgoing snapshot of the state of AI begun by the HAI in 2019. This year's edition presents new estimates on AI training....

The post Stanford AI Index: Lax LLM Reponsibility, AI for Science Accelerates, Impact on Workers, US Leads China in Models appeared first on High-Performance Computing News Analysis | insideHPC.

In this interview at the SC23 conference, we caught up with Milind Pandit, AI Technical Evangelist at Intel, who discussed the company’s “Bringing AI Everywhere” mission and its significance for the HPC community. AI was everywhere at the Supercomputing event in Denver, and in his comments, Pandit takes up the theme of how large language […]

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