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.

  • Giorgia Dellaferrera
  • February 14, 2023
  • Slides
~ Share this Site ~

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
PEPITA - A Forward-Forward Alternative to Backpropagation

About the Speaker

Giorgia Dellaferrera has completed her PhD in computational neuroscience at the Institute of Neuroinformatics (ETH Zurich and the University of Zurich) and IBM Research Zurich with Prof. Indiveri, Prof. Eleftheriou and Dr. Pantazi. Her doctoral thesis focused on the interplay between neuroscience and artificial intelligence, with an emphasis on learning mechanisms in brains and machines. During her PhD, she visited the lab of Prof. Kreiman at the Harvard Medical School (US), where she developed a biologically inspired training strategy for artificial neural networks. Before her PhD, Giorgia obtained a master in Applied Physics at the Swiss Federal Institute of Technology Lausanne (EPFL) and worked as an intern at the Okinawa Institute of Science and Technology, Logitech, Imperial College London, and EPFL.

IBM NorthPole - Neural inference at the frontier of energy, space, and time

IBM NorthPole - Neural inference at the frontier of energy, space, and time

  • Carlos Ortega-Otero
  • 2024, January 25

NorthPole outperforms all prevalent architectures, even those that use more-advanced technology processes.

Evolutionary Optimization for Neuromorphic Systems

Evolutionary Optimization for Neuromorphic Systems

  • Catherine Schuman
  • 2023, March 21

Dive into evolutionary optimization techniques for neuromorphic systems with Catherine Schuman, an expert in the field. Watch the recorded workshop for valuable insights.

Towards Training Robust Computer Vision Models for Neuromorphic Hardware

Towards Training Robust Computer Vision Models for Neuromorphic Hardware

  • Gregor Lenz
  • 2023, March 10

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.