Stony Brook wins DARPA grant for energy-efficient AI

Stony Brook University researchers have announced a two-year DARPA-funded project to develop tools for more accurate energy prediction in machine-learning models.

• The project, “Optimizing Machine Learning Models Using Accurate Energy Prediction,” received a $1M award through DARPA’s ML2P program.
• Aruna Balasubramanian is the PI, with Niranjan Balasubramanian and Anshul Gandhi as co-PIs at Stony Brook; Xiaorui Wang is a PI from Ohio State University. The article says the work aims to improve energy-aware ML for devices such as drones and other resource-constrained systems.