Vision in an AI World

Digital Festival 2018

Challenge the way you perceive the world. Computer scientists and entrepreneurs working with artificial intelligence reveal how they adapt visual perception to enable robots and intelligent systems to see and interpret the environment.

Much of how we perceive our daily lives stems from the visual input we receive - paintings, photographs, and videos reveal how we think, feel and perceive light. Creating sensors for robots, intelligent machines, and augmented reality, researchers enable machines to perceive information related to the task-at-hand, without having to produce visual images. Tasks such as search and rescue, industrial inspection, crop monitoring or archeological surveying require an unconventional approach that delivers visual information in differing formats.

Speakers will reveal how sensory perception allows robotic devices to operate at high speeds and with a fraction of the power consumption of a conventional camera. They will also demonstrate multiple scene perception algorithms based in Computer Vision techniques and their applications.

As a participant, you will have the opportunity to challenge your own perception with interactive visual illusions and convince yourself that what your brain perceives is not what your eyes see.
 

Public event
Friday, 14 September 2018

14 - 17h

Venue
Schiffbau, Schiffbaustrasse 4, 8005 Zurich

externe Seite Website Digital Festival

Programme
Download Download (PDF, 3.6 MB)

Please register externe Seite here.

Moderation:
externe Seite Susan Kish

Confirmed speakers:

Margarita Chli, Vision for Robotics Lab at ETH Zurich

Alexander Ilic, Head of externe Seite Magic Leap and founder of externe Seite Dacuda

Markus Gross, Institute for Visual Computing at ETH Zurich and Director of Disney Research Zurich

externe Seite Yulia Sandamirskaya and externe Seite Julien Martel, externe Seite Institute for Neuroinformatics, ETH Zurich and University of Zurich
 
Alexander Sorkine-Hornung, externe Seite Oculus

Isaac Deutsch and David Hoeller, externe Seite Nvidia

Marc Pollefeys, Department of Computer Science at ETH Zurich

 

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