Low-Power Spiking Neural Network Processing Systems for Extreme-Edge Applications

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

Social share preview for Low-power Spiking Neural Network Processing Systems for Extreme-Edge Applications

Upcoming Workshops

No workshops are currently scheduled. Check back soon for new events!

Are you an expert in a neuromorphic topic? We invite you to share your knowledge with our community. Hosting a workshop is a great way to engage with peers and share your work.

About the Speakers

Federico Corradi

Federico Corradi

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

Gregor Lenz

Co-Founder & CTO at Neurobus, PhD in neuromorphic engineering. Focuses on event cameras, SNNs, and open-source software. Maintains Tonic & Expelliarmus.
Fabrizio Ottati

Fabrizio Ottati

AI/ML Processor Engineer at NXP, PhD from Politecnico di Torino. Focuses on event cameras, digital hardware, and deep learning. Maintains Tonic & Expelliarmus.

Inspired? Share your work.

Share your expertise with the community by speaking at a workshop, student talk, or hacking hour. It’s a great way to get feedback and help others learn.

Related Workshops

Hybrid Learning for Event-based Visual Motion Detection and Tracking of Pedestrians

Hybrid Learning for Event-based Visual Motion Detection and Tracking of Pedestrians

Revolutionize traffic safety with neuromorphic visual sensing. Explore award-winning solutions for pedestrian detection and tracking, emphasizing sustainability and city-level deployment. Join Dr. Cristian Axenie in this groundbreaking AI exploration

NIR: A unified instruction set for brain-inspired computing

NIR: A unified instruction set for brain-inspired computing

We show how to use the Neuromorphic Intermediate Representation to migrate your spiking model onto neuromorphic hardware.

Accelerating Inference and Training at the Edge

Accelerating Inference and Training at the Edge

Join us for a talk by Maxence Ernoult, Research Scientist at Rain, on accelerating inference and training at the edge.