July 22: Public Symposium on Machine Learning and Pattern Recognition

Artificial Intelligence today and tomorrow

In a public symposium on Friday, July 22, organized by the Bavarian Academy of Sciences and Humanities, researchers will give an overview of current advances in artificial intelligence (AI). Prof. Xiaoxiang Zhu and Prof. Daniel Cremers from the Technical University of Munich (TUM) will be among the speakers. The event is aimed at an interested public and will be broadcast live via online stream.

Prof. Xiaoxiang Zhu Juli Eberle / TUM
Xiaoxiang Zhu is Professor of Data Science in Earth Observation at TUM. At the symposium of the Bavarian Academy of Sciences and Humanities, she will explain how machine learning can help to address climate change. Prof. Daniel Cremers will talk about the field of Computer Vision.

In the symposium "Artificial Intelligence: Machine Learning and Pattern Recognition" on Friday, July 22. researchers from Bavarian universities will talk about the possibilities offered by artificial intelligence today and how this technology will influence our lives in the future. Among the speakers are two researchers from TUM:

Prof. Daniel Cremers

Computer-based analysis of photos and videos, or "computer vision", is a central part of AI. Prof. Daniel Cremer's talk provides insights into current research and specifically addresses the area of camera-based 3D reconstruction. He outlines key challenges and addresses a variety of potential applications, from 3D photography and 3D television to autonomous driving.

Prof. Xiaoxiang Zhu

Information derived from Earth observation satellite data is indispensable for tackling major societal challenges, such as urbanization, climate change and reaching UN’s Sustainable Development Goals. Prof. Xiaoxiang Zhu's talk showcases how innovative machine learning methods and big data analytics can significantly improve the retrieval of large-scale geo-information and consequently lead to breakthroughs in the above mentioned challenges.


Friday, July, 22 2022
1:30 PM

Bayerische Akademie der Wissenschaften
Alfons-Goppel-Straße 11
80539 Munich
Plenarsaal, Ground Floor

To take part in person, please register here: postspam prevention@technologieforum.badw.de.

Live stream: www.badw.de (no registration needed)

Technical University of Munich

Corporate Communications Center

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