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Machine Learning and Algorithmic Challenges with Aleksander Madry

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Manage episode 230463261 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.
Aleksander Madry, Associate Professor at CSAIL, tackles key algorithmic challenges in today’s computing as part of his work in the Theory of Computation Group at CSAIL. His work is described as re-thinking machine learning from the perspective of security and robustness. Madry discusses the evolution of the human and machine interaction and provides insight on adoption of M/L systems over the next few years.
  continue reading

64 episodes

Artwork
iconShare
 
Manage episode 230463261 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.
Aleksander Madry, Associate Professor at CSAIL, tackles key algorithmic challenges in today’s computing as part of his work in the Theory of Computation Group at CSAIL. His work is described as re-thinking machine learning from the perspective of security and robustness. Madry discusses the evolution of the human and machine interaction and provides insight on adoption of M/L systems over the next few years.
  continue reading

64 episodes

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