Encoding Cultures: Thomas Brox | Achievements and Limitations of Deep Learning

Encoding Cultures. Living Amongst Intelligent Machines

Encoding Cultures. Living Amongst Intelligent Machines
Encoding Cultures. Living Amongst Intelligent Machines
Duration
32:19
Category
Lecture/Talk
Date
27.04.2018 to 28.04.2018
Description

Recent advances in the field of artificial intelligence are revolutionizing the way with which we think and act. They give an idea of the fundamental changes that will affect our society in the coming years. The interdisciplinary symposium »Encoding Cultures. Living Amongst Intelligent Machines« brought scientists, programmers and developers, cultural theorists and artists into dialogue with a broader public. The lectures and discussions provide insight into the latest state of research and development in the field of machine learning and ask about the current and long-term effects of this technology on science, business, politics, art and society.

Thomas Brox received his PhD in Computer Science from Saarland University in 2005. He then joined the Computer Vision Group at the University of Bonn as a postdoc. He headed the Intelligent Systems Group at the University of Dresden for one year as an acting faculty member. After two years as a postdoc in Jitendra Malik's Computer Vision Group at U.C. Berkeley, he moved to the University of Freiburg, where he heads the Computer Vision Group. Prof. Brox is co-editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence and the International Journal of Computer Vision. He regularly served as divisional director for the major Computer Vision conferences and reviews for various funding organizations. He received the Longuet-Higgins Best Paper Award 2004 and the Koenderink Prize for Fundamental Contributions in Computer Vision 2014 for his work on optical flow estimation. In 2011 he received an ERC Starting Grant. 

Video documentary:

ZKM | Videostudio

Camera: Daniel Vogrin
Live-Editing: Christina Zartmann
Editing: Bastian Buchgraber

Participants