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.

About the Speakers

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

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.

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

PEPITA - A Forward-Forward Alternative to Backpropagation

PEPITA - A Forward-Forward Alternative to Backpropagation

Explore PEPITA, a forward-forward approach as an alternative to backpropagation, presented by Giorgia Dellaferrera. Learn about its advantages and implementation with PyTorch.

Making Neuromorphic Computing Mainstream

Making Neuromorphic Computing Mainstream

Join us for a workshop with Timoleon Moraitis, research group leader in neuromorphic computing, at the interface of computational neuroscience with artificial intelligence.

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks

Aaron tells us about the Expressive Leaky Memory (ELM) neuron model, a biologically inspired phenomenological model of a cortical neuron.