10/29/2026
Researchers at Stony Brook University are making AI more energy efficient thanks to a $1 million award from the Defense Advanced Research Projects Agency - DARPA through its Mapping Machine Learning to Physics (ML2P) program.
Led by principal investigator Aruna Balasubramanian, with co-PIs Niranjan Balasubramanian and Anshul Gandhi from Stony Brook Computer Science , and Xiaorui Wang of The Ohio State University , the team is developing a detailed approach to predicting energy consumption across model components.
Read the full story from SBU News:
Stony Brook University researchers are developing tools to predict how much energy machine-learning models consume and help developers find ways to reduce that consumption without sacrificing accuracy. The two-year project, “Optimizing Machine Learning Models Using Accurate Energy Prediction,” i...