The work was supported by the Air Force Office of Scientific Research, the Office of Naval Research, and the US National Science Foundation. Most approaches to machine learning-based inverse design ...

They can lead systems to make incorrect decisions that could result in disaster. When it comes to embedded systems, engineers need to know why AI made certain decisions, not just what it decided.

Learning and inference are done by the microcontroller using the NanoEdge AI on-device learning library, which streamlines the edge AI process and significantly reduces development effort.