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

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.

Does the Brain do Gradient Descent?

Does the Brain do Gradient Descent?

  • Konrad Kording
  • 2023, July 11

Explore the brain's potential use of gradient descent in learning processes with Konrad Kording in this engaging recorded session.

Hands-on with Xylo and Rockpool

Hands-on with Xylo and Rockpool

  • Dylan Muir
  • 2023, April 26

Discover Xylo and Rockpool in a hands-on session with Dylan Muir, exploring cutting-edge neural computation architectures and signal processing.

Building Neuromorphic Applications Using Talamo

Building Neuromorphic Applications Using Talamo

  • George Vathakkattil Joseph, Innatera
  • 2023, October 23

This offers a sneak-peek into Innatera’s technology stack allowing application development from scratch and deploying it on mixed-signal neuromorphic hardware.