The Department of Energy intends to invest $30M in research efforts on artificial intelligence and machine learning for system management and science projects.
DOE said Wednesday it will focus this investment on predictive modeling applications for physical sciences and decision making for complex system management.
The “Scientific Machine Learning for Modeling and Simulations” topic will receive $10M, and the “Artificial Intelligence and Decision Support for Complex Systems” subject will receive $20M. DOE will use fiscal year 2020 funds to finance work.
The investment’s results may support various science projects and decision making in cybersecurity and grid resilience activities.
“This foundational research will help keep the United States in the forefront as applications for ML and AI rapidly expand, and as we utilize this evolving technology to solve the world’s toughest challenges such as COVID-19,” said Paul Dabbar, DOE’s undersecretary for science.
Commercial firms, nonprofits, academic institutions and DOE national laboratories may compete for awards under the investment.