Federico Corradi

Assistant Professor in Electrical Engineering, researches neuromorphic computing, from models to microelectronic architectures for efficient deep learning.

Contributions

Activity Timeline

2023

Join Dr. Federico Corradi as he explores low-power spiking neural network processing systems, offering insights into energy-efficient computing for extreme-edge applications.