Mapping Machine Learning to Physics (ML2P)

DARPA’s ML2P program seeks to link machine learning efficiency directly to physics by developing models that quantify energy use and performance across hardware architectures. The effort aims to create power-aware ML optimization techniques that enable more efficient and effective AI deployment in resource-constrained defense environments.