Accelerating Neuromorphic Inference and Training at the Edge - Rain

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

Accelerating Neuromorphic Inference and Training at the Edge - Rain
  • Maxence Ernoult
  • March 5, 2024 6:00 - 7:30 CET
  • Event

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

Accelerating Neuromorphic Inference and Training at the Edge - Rain
Maxence Ernoult
2024, Mar 5    6:00 - 7:30 CET
Advances in Neuromorphic Visual Place Recognition
Tobias Fischer
2024, Mar 20    6:00 - 7:30 CET
Accelerating Neuromorphic Inference and Training at the Edge - Rain

About the Speaker

Maxence Ernoult graduated from Ecole Polytechnique and the University of Cambridge in 2016, specializing in applied mathematics and theoretical physics. His PhD research was conducted in neuromorphic computing at Sorbonne University, in collaboration with Mila. During this time, he specialized in developing hardware-friendly alternatives to backpropagation and played a significant role in scaling up several of these alternatives, including Equilibrium Propagation and Difference Target Propagation. This work was undertaken alongside notable figures such as Ben Scellier, Blake Richards, and Yoshua Bengio. In 2021, Maxence joined IBM Research, focusing on AI safety. Subsequently, in 2022, he began a new position at Rain.

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