Save the date!

We are pleased to invite you to the upcoming Munich AI Lecture featuring renowned researcher Prof. Dr. Helmut Bölcskei hosted by our relAI director Prof. Dr. Gitta Kutyniok, Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU.

Deep neural networks have led to breakthrough results in numerous practical machine learning tasks. In the lecture “The Mathematical Universe behind Deep Neural Networks,” Prof. Dr. Bölcskei will take us on an exciting journey through the mathematical universe behind these practical successes, elucidating the theoretical underpinnings of deep neural networks in functional analysis, harmonic analysis, complex analysis, approximation theory, dynamical systems, Kolmogorov complexity, optimal transport, fractal geometry, mathematical logic, and automata theory.

Event Details:

 • Speaker: Prof. Dr. Helmut Bölcskei

• Date and Time: November 25th, 2024, 5.15 pm

• Location: Große Aula der LMU (Geschwister-Scholl-Platz 1, Room 120, 80539 München)

Helmut Bölcskei is a Professor of Mathematical Information Science at ETH Zurich and has been a Principal Investigator at the Lagrange Mathematics and Computing Research Center in Paris since 2021. After earning his degrees from Vienna University, he completed a postdoctoral fellowship at Stanford University and has held visiting researcher positions at many leading institutions. In addition to his academic achievements, he is also a successful entrepreneur. Professor Bölcskei has received numerous awards and prestigious fellowships and continues to serve as Editor-in Chief for some of the field's most distinguished journals.

Learn more about it here.

Mark your calendars for these interesting talks coming up in the next weeks!

The next talk, by Daniela Rus, is on July 15th, at 5pm at Lichtenbergstraße 2a, 85748 Garching, Auditorium (Ground floor) of Institute for Advanced Study (IAS), TUM and via zoom. She is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science, and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.

On Wednesday July 17th, Alexei A. Efros of University of California, Berkeley will discuss whether “We are (still?) not giving data enough credit”. The lecture takes place in cooperation with the ELLIS-Workshop on "Open Problems in Computer Vision & Generative Modelling" on the same day.

Sebastian Scherer, an Associate Research Professor at the Robotics Institute (RI) at Carnegie Mellon University (CMU) will present his approaches, progress, and results on multi-modal sensing on Monday, July 22nd, at TUM Garching Campus, FMI Building, Boltzmannstr. 3, Hörsaal 2 (00.04.011).

relAI is a co-organiser of the Munich AI lectures. Find more info on these other upcoming events on the Munich AI lectures home page.

We are happy to announce that on October 29th, the three DAAD Zuse Schools of Excellence in Artificial Intelligence, ELIZA (Darmstadt), SECAI (Dresden) und relAI (Munich), will celebrate the second joint Meeting in Munich.

The event, co-organized by DAAD and relAI, will be honoured with the presence of representatives from the Bavarian State Ministry for Science and the Arts (StMWK), Federal Ministry of Education and Research (BMBF), TUM and LMU presidents, and DAAD, who will introduce the meeting with opening speeches. The program will be followed by talks from research fellows, students, and industry partners of the Zuse Schools and rounded by a podium discussion.

Preliminary Agenda

The next Munich AI Lecture will take place on Tuesday, June 25th at 5pm at Arcisstr. 21, Room 0790 and via zoom.

Ivan Laptev, visiting professor at MBZUAI and a senior researcher on leave from Inria Paris, will talk about "From Video Understanding to Embodied Agents". Mark your calendars and join us there!

For more information on the Munich AI Lectures, co-organized by relAI, visit https://munichlectures.ai/upcoming/.

The next Munich AI Lecture will take place on Tuesday, June 18th at 5 pm at Arcisstr. 21, Room 2750 (Karl Max von Bauernfeind auditorium) and via zoom.

This edition features Ludovic Righetti (New York University), who will talk about "Learning complex robotic behaviors with optimal control". Mark your calendars and join us there!

For more information on the Munich AI Lectures, co-organized by relAI, visit https://munichlectures.ai/upcoming/.