DARPA amps up effort to make AI power-conscious • The Register

It's notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end to that uncertainty with new "energy-aware" machine learning systems.

The Mapping Machine Learning to Physics (ML2P) program , which opened solicitations on Tuesday, aims to do something that's simple, at least on paper. It wants to map the efficiency of various forms of machine learning directly to, as the name suggests, physics. In this case, it will use "precise granular measurements in joules," the Defense Advanced Research Projects Agency said.

"Today when we build machine learning models, we only optimize for performance, and we miss other characteristics. A very important characteristic is how much energy it's using," ML2P founding program manager Bernard McShea said in