Vision in an AI World
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 SeiteWebsite Digital Festivalcall_made
Programme
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Please register externe Seiteherecall_made.
Moderation:
externe SeiteSusan Kishcall_made
Confirmed speakers:
Margarita Chli, Vision for Robotics Lab at ETH Zurich
Alexander Ilic, Head of externe SeiteMagic Leapcall_made and founder of externe SeiteDacudacall_made
Markus Gross, Institute for Visual Computing at ETH Zurich and Director of Disney Research Zurich
externe SeiteYulia Sandamirskayacall_made and externe SeiteJulien Martelcall_made, externe SeiteInstitute for Neuroinformaticscall_made, ETH Zurich and University of Zurich
Alexander Sorkine-Hornung, externe SeiteOculuscall_made
Isaac Deutsch and David Hoeller, externe SeiteNvidiacall_made
Marc Pollefeys, Department of Computer Science at ETH Zurich