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.

Accelerating Inference and Training at the Edge
  • Maxence Ernoult
  • March 5, 2024

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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Accelerating Inference and Training at the Edge

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.

C-DNN and C-Transformer: mixing ANNs and SNNs for the best of both worlds

  • Sangyeob Kim
  • 2024, May 4

Join us for a talk by Sangyeob Kim, Postdoctoral researcher at KAIST, on designing efficient accelerators that mix SNNs and ANNs.

Spyx Hackathon: Speeding up Neuromorphic Computing

Spyx Hackathon: Speeding up Neuromorphic Computing

  • Kade Heckel
  • 2023, December 13

Explore the power of Spyx in a hands-on hackathon session and dive into the world of neuromorphic frameworks with Kade Heckel.

Programming Scalable Neuromorphic Algorithms with Fugu

Programming Scalable Neuromorphic Algorithms with Fugu

  • Brad Aimone
  • 2023, December 19

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