סמינר של הפקולטה להנדסה ע"ש איבי ואלדר פליישמן

EE Seminar: Developing perceptual capabilities in AI systems: Towards human level understanding of the visual world

(The talk will be given in English)

Speaker: Dr. Daniel Harari
Department of CS and Applied Mathematics, Weizmann Institute

Monday, January 23rd, 2017
15:00 - 16:00

Room 011, Kitot Bldg., Faculty of Engineering

Developing perceptual capabilities in AI systems: Towards human level understanding of the visual world

Abstract

Rapid developments in the field of automated learning have caused a major shift in the approach to the learning of intelligent systems, from explicit instruction to the automatic learning from a large number of labeled examples. Deep neural network models are integrated in the core of new AI technologies such as the autonomous car. Yet, there are still fundamental differences between current AI technologies and human intelligence. In this talk I will present some examples of these differences, including computational models that demonstrate how an AI system can learn complex visual concepts (such as hand recognition, gaze estimation and spatial relations) rapidly and without explicit supervision like humans, and in particular infants, do.

Short Bio

Research interests:

My research interests lie in the interdisciplinary area between computer and human vision, including perception, cognition and developmental learning. The goal is to develop human level understanding of the visual world in AI systems, using computational models with cognitive capabilities.

Education:

A senior intern at the computer science department working with Prof. Shimon Ullman (2016-now)
Postdoc at MIT in the Center for Brains, Minds and Machines (CBMM) (2013-2015)
PhD in computer science from the Weizmann institute (2012)
MSc and BSc in electrical engineering (MSc - Tel Aviv University, 2000; BSc – Technion, 1994)

Industrial experience: