CMSP News and Views Seminar Series: Exploring alternatives to digital artificial neural networks
Florian Marquardt · Max Planck Institute for the Science of Light and Friedrich-Alexander-Universität Erlangen-Nürnberg
Thu, Sep 24, 2026 · 11:00 Europe/Rome
Florian Marquardt surveys approaches to reducing the energy and computational cost of neural networks by implementing their functions in physical devices. The central question is how experiments can efficiently determine updates to adjustable parameters, allowing the hardware itself to learn. Examples include learning through time reversal, obtaining nonlinear computation from linear optical scattering, and training analog quantum simulators as neuromorphic systems. The seminar is available in person and through the registration link on the organizer’s event page.