April 08 to 10 2016, Austin, USA.
Speaker "Jonathan Mugan" Details
Deep Learning, machine learning, natural language processing
This talk will present an understandable introduction to the technologies that make up deep learning. Deep Learning represents a significant advance in artificial intelligence because it enables computers to move beyond brittle symbolic representations. This talk will present the benefits of deep learning in the fields of natural language processing, machine vision, and robot control. The talk will also discuss how you can get started with deep learning, and it will conclude with an overview of the challenges that remain before machines can be truly intelligent.
Dr. Jonathan Mugan is Co-Founder and CEO at Deep Grammar. Dr. Mugan specializes in artificial intelligence and machine learning. His current research focuses in the area of deep learning, where he seeks to allow computers to acquire abstract representations that enable them to capture subtleties of meaning. Dr. Mugan received his Ph.D. in Computer Science from the University of Texas at Austin. His thesis was centered in developmental robotics, which is an area of research that seeks to understand how robots can learn about the world in the same way that human children do. Dr. Mugan also held a post-doctoral position at Carnegie Mellon University, where he worked at the intersection of machine learning and human-computer interaction. He is also the author of The Curiosity Cycle: Preparing Your Child for the Ongoing Technological Explosion.
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