CogniGron Seminar by David Kappel: "Neuromorphic Algorithms for Efficient Signal Processing and Learning"
When: | Th 19-09-2024 11:00 - 12:00 |
Where: | 5159.0110 Energy Academy Europe (Nijenborgh 6, Groningen) |
Seminar abstract
Recent advances in machine learning (ML) have demonstrated impressive performance on complex tasks such as human-level image understanding and natural language processing. These ML models rely on artificial neural networks that, like biological brains, use billions of neurons and synapses to process complex stimuli. However, unlike biological brains, these neural networks consume vast amounts of energy, with a single training session often exceeding the energy and carbon footprint of a car over its lifetime. In this talk, I will highlight the mechanisms that enable the amazing energy efficiency of biological brains and compare them to their artificial counterparts. Based on these findings, I will present some examples of new approaches to significantly reduce the energy footprint using hybrid ML/bio-inspired neuromorphic algorithms.
About Dr. David Kappel
David Kappel is a researcher at the Ruhr-Universität Bochum, where he has led the Sustainable Machine Learning group since 2023. Previously, he worked as a postdoctoral researcher at the TU Dresden and the University of Göttingen. David Kappel received his Ph.D. in computer science from Graz University of Technology in 2018. His research interests focus on efficient algorithms and models for synaptic plasticity, neural dynamics, Bayesian inference, and hierarchical learning models.