Tech Explained: Here’s a simplified explanation of the latest technology update around Tech Explained: SRNL Harnesses AI to Tackle Environmental Challenges, Cut Cleanup Costs in Simple Termsand what it means for users..
AIKEN, S.C. — Researchers at Savannah River National Laboratory (SRNL) are supporting the U.S. Department of Energy’s (DOE) Genesis Mission by employing artificial intelligence (AI) and machine learning to tackle complex environmental challenges, which can significantly reduce costs and improve efficiency in the DOE Office of Environmental Management’s cleanup.
Announced in late 2025, the Genesis Mission seeks to revolutionize the scientific process by integrating AI. Earlier this month, the Trump administration unveiled 26 initial research challenges under the mission, including one focused on transforming nuclear cleanup and restoration. With decades of experience in environmental monitoring and a proven track record of integrating advanced technologies into large-scale cleanup efforts, SRNL is uniquely positioned to tackle this challenge.
SRNL is advancing AI Accelerated Strategies and Solutions in Environmental Technology (AI-ASSET), an initiative built upon the successful Advanced Long-Term Environmental Monitoring Systems (ALTEMIS) project. By deploying a smart sensor network, ALTEMIS transforms raw soil and water data into actionable insights that forecast exactly how pollutants migrate through the environment. In doing so, long term monitoring can be performed at a fraction of the cost.
“SRNL is leading a paradigm shift in long term environmental monitoring by bridging the lab’s deep-rooted expertise with the precision of AI and machine learning,” said Eric Pierce, associate laboratory director at SRNL. “This innovation enables us to tackle some of the Department of Energy’s most complex cleanup challenges more efficiently while dramatically reducing costs.”