The Munich AI Lectures are a joint initiative of MCML, CAS, ELLIS Munich, and MDSI to showcase insights and ideas from experts in the field.

On a monthly basis, we invite top-level AI researchers to give us a glimpse into their work and the future of AI. Our lectures consist of a short presentation followed by a Q&A to enable a lively discussion with our speakers. Each lecture lasts about one hour and will be streamed live. Recordings will be available on YouTube afterwards.

We are very happy to welcome Prof. Stéphane Mallat as our next speaker. Prof. Mallat is professor at the Collège de France in the chair of Data Sciences. After his Ph.D at University of Pennsylvania in 1988, he became Professor of computer science and mathematics at the Courant Institute of NYU in New York for 10 years, then at Ecole Polytechnique and Ecole Normale Supérieure in Paris. He also was the co-founder and CEO of a semiconductor start-up company from 2001 to 2007. Stéphane Mallat is a member of the French Academy of sciences, of the Academy of Technologies and a foreign member of the US National Academy of Engineering. His research interests include machine learning, signal processing and harmonic analysis. He developed the multiresolution wavelet theory with applications to image processing and sparse representation in dictionaries with matching pursuits. He now works on mathematical understanding of deep neural networks, and their applications.

The lecture will take place virtually on September 7, 2022 at 5 pm CET. Please save the date. More details will follow soon on our website.