1 - Language Meaning with Tom Mitchell from Carnegie Mellon

ML Minutes

Content provided by Monte Zweben. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Monte Zweben or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

4+ y ago 10:04

MP3•Episode home

Tom Mitchell, founder of Carnegie Mellon's (and the world's) first Machine Learning department, came in to discuss his research at the intersection of Machine Learning and Cognitive Neuroscience. We discussed where the meaning of words lie in the brain, and how machine learning can help us discover more. You can read more of Tom's research here!

Listen to Tom's thoughts on GTP-3 and the future of machine learning in our Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, Instagram, or Facebook.

Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.

Chapters

1. Introduction (00:00:00)

2. How does the brain represent meaning? (00:01:23)

3. Applications in medicine (00:02:42)

4. Brain Imaging & ML technology (00:03:38)

5. Inputs for the ML Model (00:05:00)

6. Drawbacks to Brain Imaging Technology (00:06:09)

7. Future of Language Processing (00:07:31)

8. Outro (00:09:02)

16 episodes

#Tech #Monte Zweben #Machine Learning #Artificial Intelligence #Data Science #Technology #Future