Aiken, South Carolina — Researchers at Savannah River National Laboratory (SRNL) are supporting the U.S. Department of Energy’s (DOE) Genesis mission by using artificial intelligence (AI) and machine learning to tackle complex environmental challenges. This will significantly reduce costs and improve cleaning efficiency for the DOE Office of Environmental Management.
The Genesis mission, to be announced in late 2025, aims to revolutionize the scientific process by integrating AI. Earlier this month, the Trump administration announced 26 initial research projects under this mission, including one focused on transforming nuclear cleanup and remediation. SRNL is uniquely positioned to address this challenge with decades of experience in environmental monitoring and a track record of integrating advanced technology into large-scale cleanup efforts.
SRNL is advancing AI Accelerated Strategies and Solutions in Environmental Technology (AI-ASSET), an initiative that builds on the successful Advanced Long-Term Environmental Monitoring System (ALTEMIS) project. By deploying smart sensor networks, ALTEMIS transforms raw soil and water data into actionable insights that accurately predict how pollutants move through the environment. This allows you to perform long-term monitoring 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 Pearce, SRNL’s associate director of the lab. “This innovation will enable us to more efficiently tackle some of the Department of Energy’s most complex cleanup challenges while significantly reducing costs.”
