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Published on Dec 12, 2014
Deep learning has catapulted to the front page of the New York Times, formed the core of the so-called "Google brain," and achieved impressive results in vision, speech recognition, and elsewhere. Yet building intelligent systems requires us to go way beyond the capabilities of deep learning and today's data-mining systems. The future of the Big Data paradigm lies in extending these powerful methods to acquire knowledge from text, databases, diagrams, images and video. We also need to reason tractably using this acquired knowledge to make sense of the world, and to draw novel conclusions.
Dr. Oren Etzioni, UW Computer Science and Engineering Professor, describes research at the new Allen Institute for AI aimed at building this next generation of intelligent systems.