Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Jonathan Mugan

Jonathan Mugan
CEO, DeepGrammar

Website

Jonathan Mugan is CEO of DeepGrammar. Jonathan specializes in artificial intelligence and machine learning, and his current research focuses on deep learning, where he seeks to allow computers to acquire abstract representations that enable them to capture subtleties of meaning. Jonathan holds a PhD in computer science from the University of Texas at Austin. His thesis work concerned developmental robotics and focused on the problem of how to build robots that can learn about the world in the same way that children do.

Sessions

4:50pm5:30pm Thursday, June 29, 2017
Implementing AI
Location: Sutton South/Regent Parlor Level: Intermediate
Secondary topics:  Machine Learning, Natural Language
Jonathan Mugan (DeepGrammar)
Average rating: *****
(5.00, 1 rating)
Jonathan Mugan surveys the field of natural language processing (NLP), both from a symbolic and a subsymbolic perspective, arguing that the current limitations of NLP stem from computers having a lack of grounded understanding of our world. Jonathan then outlines ways that computers can achieve that understanding. Read more.