Kevin Leyton-Brown

@k_leyton_brown

Kevin Leyton-Brown is a professor of Computer Science at the University of British Columbia, focusing on artificial intelligence and machine learning.

Vrijeme pridruživanja: veljača 2011.

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  1. Not surprising for those who understand how machine translation works (roughly, picks up statistical patterns in the way words and phrases are used). But pretty damning, and makes it clear that removing bias in ML won't be an easy thing.

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  2. proslijedio/la je Tweet
    27. stu 2017.

    Turkish is a gender neutral language. There is no "he" or "she" - everything is just "o". But look what happens when Google translates to English. Thread:

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  3. We're hiring this year in AI/ML plus various other tenure-track positions!

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  4. 8. tra 2019.

    Thanks so much and for this recognition and support! I'm excited that four of my colleagues have also received AI Chairs (, Mark Schmidt, Leonid Segal, Frank Wood)--UBC is a great place to do AI!

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  5. Our UBC AI Center has just launched its Twitter feed...

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  6. I was just featured on this fun podcast... nice guys.

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  7. For those of you who missed the Great AI Debate, a link is now available: . The debaters were absolutely hilarious, not to mention deeply informative. And the audience vote really took me by surprise!

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  8. Time for the second vote in our debate at The proposition: "The AI community today should continue to focus mostly on ML methods." Livestream:

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  9. Our debate today at will begin in an hour with an audience poll. Feel free to vote now! The proposition: "The AI community today should continue to focus mostly on ML methods." Livestream:

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    12. pro 2018.

    We are excited to release the AI Index 2018 Annual Report! This year's theme: AI is universal. Read the report below and tweet us with questions and thoughts. We'll be responding throughout the day!

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  12. 7. stu 2018.

    I just got recognized as an ACM Distinguished Member for 2018, alongside 48 other computer scientists, "For Outstanding Scientific Contributions to Computing". .

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  13. A great article from a colleague and friend at University of Washington, on what CS should be doing differently to reach a more diverse population of students:

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  14. The team of which I was a part got the 2018 Franz Edelman Award! Congratulations to everyone else working with the FCC!

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  15. I'm part of a (big) FCC team selected as one of six finalists for the 2018 INFORMS Franz Edelman Award. The winning team will be announced April 15 at the INFORMS Conference on Business Analytics and Operations Research.

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  16. 4. sij 2018.

    Exciting news--I'm now a AAAI Fellow...

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  17. A great, accessible article just appeared in Bloomberg describing my recent PNAS paper on the FCC incentive auction.

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  18. 4. tra 2017.

    Nice new, short video summarizing our panels at the National Press Club event on "AI: Economic & Policy Implications".

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  19. We're using deep learning to reason about how humans reason strategically; check this video from .

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  20. The report is really worth checking out!

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