September 20, 2023

ECE Associate Professor Aatmesh Shrivastava was awarded up to $1M Young Faculty Award (YFA) from DARPA for "Nano-Watt Power Machine-Learning Hardware using Precision Analog Computing." This YFA project aims to realize ultra-low power (nano-watt level), analog computing, machine-learning (ML) hardware for applications at the edge that are otherwise not possible due to power consumption. The project will also involve the development of a detection technique to protect against easily implemented adversarial attacks. The machine-learning (ML) hardware platform will include the development of robust and precise analog computing circuits, an analog computing system modeling tool, a current sensing-based adversarial attack detector, and an integrated system-on-a-chip (SoC) design for ML vision application for demonstration. The project aims to overcome the longstanding barriers to reduce the device's power consumption and size, particularly for edge applications. It will include a demonstration of multi-layer computing previously not demonstrated in analog. The SoC will aid DoD applications such as autonomous driving, target recognition, machine vision for drones, among others.

Related Faculty : AATMESH SHRIVASTAVA

Related Departments : Electrical & Computer Engineering