AI-powered spectroscopies and theoretical foundation XPCS X-ray Spectroscopy Special Interest Group Monthly Meeting
Not another multiple-choice questionnaire? Students, postdocs help prepare evaluation questions for science-focused large language model
Enhancing Hydrologic Predictability and Flood Resilience with AI: Physics-Informed Neural Networks and Wetted Pixel Mapping EVS Seminar
Researchers Receive Best Paper Award for New Checkpointing Approach for Large Language Models Innovative method speeds up and improves the reliability of training by efficiently saving progress without slowing down the process
Argonne plays critical role in consortium to advance fuel cell and electrolyzer manufacturing Multi-lab consortium will make hydrogen fuel cells and electrolyzers more durable, efficient and affordable. Argonne will emphasize scaling up catalysts, advancing ink and coating process science and powering smart manufacturing with AI.
The GPT to rule them all: Training for one trillion parameter model backed by Intel and US government has just begun
