
Researchers at 91°µÍø used the Frontier supercomputer to train the world’s largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts.
Researchers at 91°µÍø used the Frontier supercomputer to train the world’s largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts.
The Department of Energy announced a $67 million investment in several AI projects from institutions in both government and academia as part of its AI for Science initiative. Six ORNL-led (or co-led) projects received funding.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the
A precision approach to treating snow- and ice-covered roads, developed by an 91°µÍø-led research team, aims to help cities effectively allocate resources and expand coverage on roadways.
The Department of Energy’s 91°µÍø has hired high-performance computing leader David Womble to direct its artificial intelligence (AI) efforts. Womble began as AI Program Director on October 30.
Geospatial scientists at 91°µÍø have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma.
In a first for deep learning, an 91°µÍø-led team is bringing together quantum, high-performance and neuromorphic computing architectures to address complex issues that, if resolved, could clear the way for more flexible, efficient
From machine learning to neuromorphic architectures that enable greater computing flexibility and utility, 91°µÍø researchers are pushing boundaries with Titan.
The development and maturation of automated data tools for cancer research, part of the objectives outlined in the White House’s Cancer Moonshot initiative, could give medical researchers and policymakers an unprecedented view of the U.S.