IACS Brown Bag Lunch: Deep Human-Machine Integrated Learning for Assistive Computer Agents

Machine learning transformed our reality. On a daily basis, computers are making consequential decisions that affect millions of human lives, in split seconds, at immense scale, and almost without human supervision. But the cost of machine teaching: cleaning, constructing, training, tuning, and deploying predictive models - is incredibly high. On the other hand human learning and teaching has gone somewhat static for the past few millennia! In this talk I will suggest a cross between deep machine learning and human learning into a unified framework, which may provide a more gentle integration of assistive AI in the lives of tech-averse persons (such as the elderly).


Roy Shilkrot is an Assistant Professor in the Stony Brook University computer science department, with a joint appointment in the consortium for Digital Arts Culture and Technology (cDACT). His research topics include: Human-Computer Collaboration, Augmented Human Senses, Assisted Creativity, Art + Culture + Tech, DIY Digital Fabrication, Rapid Prototyping, Computer Vision, Image and Video Analysis. He received a Ph.D. from the MIT Media Lab, a M.Sc. in CS from Tel-Aviv University and a B.Sc. in CS from Tel-Aviv College. His Human Interaction lab (Hi! Lab) website: http://hi.cs.stonybrook.edu


Roy Shilkrot


Wednesday, March 7, 2018


12:00 pm


IACS Seminar Room