Art by Humans and Machines
Join us for this Campus Point Connection, where Larry O’Gorman of Nokia Bell Labs will consider how art and technology fuse to create interactive experiences.
O’Gorman will trace the evolution of tech-enhanced artworks by examining the histories of video, audio, biometrics and machine learning. Expect to hear about Bell Labs' earliest collaborations with visionaries like Robert Rauschenberg and Merce Cunningham to today’s cutting-edge creations.
Wednesday, November 6
4:00: Coffee
4:30 to 5:30: Lecture
Gateway South, Room 216
ABSTRACT
In the last decade, the art and theater worlds have increasingly endeavored to create immersive experiences for their audiences. In many cases, this entails the use of cameras and other sensors, combined with recognition techniques so audience input can modify the artwork. Recent machine learning advancements have also increased artists’ enthusiasm for creating technology-enhanced artworks.
In this talk, Larry O’Gorman of Nokia Bell Labs will discuss interactive methodologies using patterns from video, audio, biometrics, and machine learning. O’Gorman will also show a sampling of the interactive artworks starting with the Experiments in Art and Technology that involved New York artists such as Robert Rauschenberg and Merce Cunningham working with Bell Labs engineers in the 1960s, and up to present day.
LARRY O’GORMAN'S BIOGRAPHY
Larry O'Gorman is a Fellow at Bell Labs Research in Murray Hill, NJ, leading research on efficient machine learning. He has also taught on multimedia security at Cooper Union and New York University.
He has collaborated on the creation of several interactive artworks including, Brooklyn Blooms with NYU at the World Science Festival, 2013; Pixelpalooza with NYU at the Liberty Science Center, 2014-17; Butterflies Alight! with Stevens Institute of Technology in Hoboken, NJ, 2015; and Omnia Per Omnia with Sougwen Chung at Mana Contemporary Gallery, 2018.
He has published over 80 technical papers, 8 book chapters, holds over 40 patents, and is co-author of the books, "Practical Algorithms for Image Analysis" (Cambridge University Press), and "Document Image Processing" (IEEE Press). He is a Fellow of the IEEE and the IAPR. He has been on the editorial boards of 4 journals, and has served on US government committees to NIST, NSF, NIJ, and NAE, and to France's INRIA. He received the B.A.Sc., M.S., and Ph.D. degrees in electrical engineering from the University of Ottawa, University of Washington, and Carnegie Mellon University respectively.