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Content provided by MIT CSAIL Alliances and CSAIL Alliances. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CSAIL Alliances and CSAIL Alliances 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://ppacc.player.fm/legal.
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Closing the machine learning gap with Jacob Andreas

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Manage episode 291451531 series 1237354
Content provided by MIT CSAIL Alliances and CSAIL Alliances. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CSAIL Alliances and CSAIL Alliances 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://ppacc.player.fm/legal.
Professor Jacob Andreas of MIT CSAIL is trying to close the gap between current machine learning techniques and human abilities to learn language and learn from language about the rest of the world. Learn more about Prof. Andreas at: https://bit.ly/3vECQ5o. Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Edit%20II%20.pdf.
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63 episodes

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Manage episode 291451531 series 1237354
Content provided by MIT CSAIL Alliances and CSAIL Alliances. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MIT CSAIL Alliances and CSAIL Alliances 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://ppacc.player.fm/legal.
Professor Jacob Andreas of MIT CSAIL is trying to close the gap between current machine learning techniques and human abilities to learn language and learn from language about the rest of the world. Learn more about Prof. Andreas at: https://bit.ly/3vECQ5o. Access the transcript for the podcast at: https://cap.csail.mit.edu/sites/default/files/research-pdfs/Edit%20II%20.pdf.
  continue reading

63 episodes

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