Researchers at Oak Ridge National Laboratory 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
ORNL took yet another step toward leading the AI revolution by hosting its third workshop on Artificial Intelligence for Robust Engineering and Science, or AIRES.
Oak Ridge National Laboratory (ORNL) researchers have developed a new strategy for molecule generation to accelerate molecular design for drug discovery applications.
Oak Ridge National Laboratory (ORNL) researchers have developed a novel, generalizable policy learning approach in deep reinforcement learning (RL) for future applications in additive manufacturing.
Researchers have developed a novel architecture-agnostic method for the generation of atomic structures for use in materials discovery.
An adaptive single parameter total variation regularization (ASP-TVR) was developed for accurate and faster estimation of derivatives from noisy data to support the development of physics-informed machine learning methods.