Boris Katz is a Principal Research Scientist and Head of the InfoLab Group at MIT's Computer Science and Artificial Intelligence Laboratory. His research interests include natural language understanding and generation, multimodal information access, knowledge representation, human computer interaction, and event recognition. He has authored more than 150 publications and 5 U.S. Patents.
Boris Katz is the creator of the START information access system and the inventor of a patented method of natural language annotations, which facilitate access to multimedia information in response to questions expressed in everyday language. In 1989 during the Voyager Neptune encounter, START was used in the JPL press room to answer reporters' questions about the Voyager 2 spacecraft. In 1993, START became the first question-answering system on the Web, and since then answered millions of questions from Web users all over the world.
Boris Katz is a member of the Open Advancement of Question Answering consortium where he contributed several technical ideas incorporated into IBM's Watson system, which in 2011 defeated the all-time human champions on the quiz show Jeopardy! Technologycreated in Katz's InfoLab Group (seepress, technical paperandvideo) was a major inspiration for the development of Apple's personal assistant, Siri.
Boris Katz is a member of the MIT-Harvard Center for Brains, Minds, and Machines, where he serves as the leader of the Vision and Language Thrust, the coordinator for Technology and Knowledge Transfer, and a co-director of the Brains, Minds, and Machines summer school.
This CoR aims to develop AI technology that synthesizes symbolic reasoning, probabilistic reasoning for dealing with uncertainty in the world, and statistical methods for extracting and exploiting regularities in the world, into an integrated picture of intelligence that is informed by computational insights and by cognitive science.
Despite what you might see in movies, today’s robots are still very limited in what they can do. They can be great for many repetitive tasks, but their inability to understand the nuances of human language makes them mostly useless for more complicated requests.