Whether inspired by biological intelligence or by artificial intelligence (AI) based on machine-learning techniques, the development of low-cost smart devices at the edge is a key stepping stone toward a distributed, off-cloud, always-on, and ambient form of adaptive processing. On the one hand, AI processor design aims at leveraging the successes of artificial neural networks (ANNs) to achieve best-of-class accuracy on specific tasks ( top-down ). However, current AI processors do not yet have the energy e
I am a digital IC designer whose curiosity got trapped into the realms of neuromorphic engineering. I am working on aspects ranging from circuit design techniques (both digital and mixed-signal with emerging devices) to computer architecture, learning algorithms, and neuroscience. My research goals are
To achieve these goals, I am investigating both the bottom-up and the top-down design approaches, as well as their synergies.