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.

Maxence will present us Rain’s vision and technological roadmap to build hardware optimized for inference and training at the edge including both the hardware and algorithm aspects with an emphasis on why physical and mathematical principles matter more to him than biological inspiration.

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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

Maxence Ernoult

Maxence Ernoult

PhD in neuromorphic computing (Sorbonne/Mila), specialized in hardware-friendly alternatives to backpropagation. Now at Rain, previously IBM Research.
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.

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