SRNL Harnesses AI to Tackle Environmental Challenges, Cut Cleanup Costs
SRNL Harnesses AI to Tackle Environmental Challenges, Cut Cleanup Costs
Publish Date: 2026-03-10 16:18:00
Source Domain: www.energy.gov
- Researchers at Savannah River National Laboratory (SRNL) are supporting the U.S. Department of Energy’s Genesis Mission by using artificial intelligence (AI) and machine learning to address complex environmental challenges in cleanup efforts.
- The Genesis Mission, announced in late 2025, aims to revolutionize the scientific process by integrating AI, especially in transforming nuclear cleanup and restoration.
- SRNL is developing AI Accelerated Strategies and Solutions in Environmental Technology (AI-ASSET), which builds on the successful Advanced Long-Term Environmental Monitoring Systems (ALTEMIS) project.
- AI-ASSET employs a smart sensor network to convert raw soil and water data into actionable insights that predict the migration of pollutants, allowing for cost-effective long-term environmental monitoring.
- The initiative aims to tackle the DOE’s complex cleanup challenges more efficiently and at a fraction of the usual cost, as highlighted by Eric Pierce, associate laboratory director at SRNL.
