Today, the U.S. Department of Energy (DOE) announced $10 million in funding for projects in artificial intelligence (AI) research for High Energy Physics. This funding will support research that furthers our understanding of fundamental particles and their interactions by making use of artificial intelligence.
“Employing state-of-the-art artificial intelligence and machine learning will allow the Office of High Energy Physics (HEP) to get the most science out of our program,” said Jim Siegrist, DOE Associate Director of Science for High Energy Physics. “Developing and improving the understanding of cutting-edge AI techniques will benefit researchers across the Office of Science and help train the next generation of scientists.”
This is the first dedicated funding opportunity announcement (FOA) for artificial intelligence research for high energy physics. High energy physics studies the interactions of fundamental particles using large datasets collected at complex detectors and accelerators and compares them to predictions from the Standard Model. These large datasets from complex facilities provide unique opportunities for artificial intelligence research to explore for deviations from standard model predictions that may lead to new discoveries.