Artificial Intelligence (AI) is revolutionizing society at an unprecedented rate, reshaping industries and redefining daily life. However, one of its most pressing global challenges is its massive energy consumption. A promising solution lies in embracing analog technologies, such as neuromorphic chips, alongside spiking neural networks—an analog counterpart to classical neural networks—offering a more energy-efficient approach to AI computation.
We are organizing a workshop on Spiking Neural Networks (SNNs) in Munich, covering topics ranging from the neuroscience-inspired principles and mathematical frameworks of SNNs to their cutting-edge applications in neuromorphic engineering.
This event will take place on March 27 to 28 at the LMU main building. This workshop is part of the Project "Next Generation AI Computing (gAIn)" of LMU Munich, TU Dresden, and TUM, supported by the Bavarian State Ministery of Science and the Arts and the Saxonian State Ministery of Science , Culture, and Tourism.
All details about the workshop including the registration link can be
found on the website https://sites.google.com/view/snn-workshop/.
We warmly invite you to attend! However, please be aware that space is limited and will be allocated on a first-come, first-served basis.
Kind regards on behalf of all organizers,
Gitta Kutyniok