Towards Training Robust Computer Vision Models for Neuromorphic Hardware

Join Gregor Lenz as he delves into the world of event cameras and spiking neural networks, exploring their potential for low-power applications on SynSense's Speck chip. Discover the challenges in data, training, and deployment stages. Don't miss this talk on training robust computer vision models for neuromorphic hardware.

Social share preview for Towards Training Robust Computer Vision Models for Neuromorphic Hardware

Upcoming Workshops

Tonic: Building the PyTorch Vision of Neuromorphic Data Loading
Gregor Lenz
September 29, 2025
20:00 - 21:30 CEST

About the Speaker

Gregor Lenz graduated with a Ph.D. in neuromorphic engineering from Sorbonne University. He thinks that technology can learn a thing or two from how biological systems process information.
His main interests are event cameras that are inspired by the human retina and spiking neural networks that mimic human brain in an effort to teach machines to compute a bit more like humans do. At the very least there are some power efficiency gains to be made, but hopefully more! Also he loves to build open source software for spike-based machine learning. You can find more information on his personal website.
He is the maintainer of two open source projects in the field of neuromorphic computing, Tonic and 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

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.

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

Hands-on with Xylo and Rockpool

Hands-on with Xylo and Rockpool

Discover Xylo and Rockpool in a hands-on session with Dylan Muir, exploring cutting-edge neural computation architectures and signal processing.