A Machine That Understands Language Like a Human

Point of Discovery

One thing that sets humans apart from even the smartest of artificially intelligent machines is the ability to understand, not just the definitions of words and phrases, but the deepest meanings in human speech.

Alex Huth, a neuroscientist and computer scientist, is trying to build an intelligent computer system that can predict the patterns of brain activity in a human listening to someone speaking. If a computer could begin to extract the same kinds of meaning from a set of words as a human does, that might help explain how the human brain itself makes sense of language – and even pave the way for a speech aid for people who can’t speak.

Experience an interactive 3D map of the human brain showing which areas respond to hearing different words: https://gallantlab.org/huth2016/

Music for today’s show was produced by:
Podington Bear - https://www.podingtonbear.com/

Have you heard the news? Now you can listen to Point of Discovery on Spotify: https://open.spotify.com/show/4bWQkQ9jBV0cyKeyqeKwdA

About Point of Discovery

Point of Discovery is a production of the University of Texas at Austin's College of Natural Sciences. You can listen to all our episodes at @point-of-discovery .

Questions or comments about this episode, or our series in general? Email Marc Airhart at mairhart[AT]austin.utexas.edu

About Point of Discovery

Point of Discovery is a production of the University of Texas at Austin's College of Natural Sciences and is a part of the Texas Podcast Network. The opinions expressed in this podcast represent the views of the hosts and guests, and not of The University of Texas at Austin. You can listen via Apple Podcasts, Spotify, RSS, Amazon Podcasts, and more. Questions or comments about this episode or our series in general? Email Marc Airhart.