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.

Social share preview for Hands-on with Xylo and Rockpool

Upcoming Workshops

The TSP1 Neural Network Accelerator Chip: Advancing Brain-Inspired Computing
Chris Eliasmith, Danny Rosen
November 11, 2025
8:00 - 9:00 EST

About the Speakers

Dylan Muir

Dylan Muir

VP Global Research Operations at SynSense, specialist in neural computation architectures. Directs research vision and neural architecture development.
Jason Eshraghian

Jason Eshraghian

Assistant Professor at UC Santa Cruz, leading UCSC Neuromorphic Computing Group. Focuses on brain-inspired circuits for AI & SNNs. Maintainer of snnTorch.

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

Programming Scalable Neuromorphic Algorithms with Fugu

Programming Scalable Neuromorphic Algorithms with Fugu

Explore neural-inspired computing with Brad Aimone, a leading neuroscientist at Sandia Labs. Join us for insights into next-gen technology and neuroscience.

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

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.

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.