Azalia Mirhoseini

@Azaliamirh

Research Scientist at Google Brain

Vrijeme pridruživanja: svibanj 2013.

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  1. Prikvačeni tweet
    25. lip 2019.

    I’m very honored to have received the MIT TR 35 innovator award for my work on . Grateful to have been able to work with some of the most wonderful mentors and collaborators thus far in my career!

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  2. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

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  3. 23. sij
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  4. proslijedio/la je Tweet
    9. sij

    What I did over my winter break! It gives me great pleasure to share this summary of some of our work in 2019, on behalf of all my colleagues at & .

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  5. proslijedio/la je Tweet
    16. pro 2019.
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  6. proslijedio/la je Tweet

    One new idea for Google and : using machine learning for processors. Teach AI the parameters for a game of “chip design” and see if it can be more efficient than humans.

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  7. 14. pro 2019.

    Excited for ’s talk on our ML for chip placement work that , Jeff, and I started in 2018. This is one of the first steps in learned ASIC Design. Look forward to sharing more soon. So grateful to all our amazing collaborators in Google Brain and Platforms!

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  8. proslijedio/la je Tweet
    7. stu 2019.

    An update: has been in contact with Canadian immigration officials. They told him that anyone who has been denied a visa to attend can request their case to be reconsidered via this form:   No guarantees, but please pass along!

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  9. proslijedio/la je Tweet
    23. lis 2019.

    I'm very excited to see the quantum computing research team achieve this early milestone! It's an initial-but-important step along the way towards practical real-world applications of quantum computing. Congrats to the whole team!

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  10. proslijedio/la je Tweet

    . taught an AI to design AI chips.

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  11. proslijedio/la je Tweet
    10. ruj 2019.

    Happy to announce 'ML for Systems' workshop is accepted to w/ , , , M. Hashemi, . Looking forward to your papers (CFP ) & invited talks (TBA). See the website for previous edition's accepted papers :)

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  12. proslijedio/la je Tweet
    21. kol 2019.

    Episode of Android Developers Backstage is out! joined and I to talk about machine learning. More specifically, Anna taught and we learned.

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  13. 23. srp 2019.

    Sparse Mixture of Experts enable high-capacity yet computationally-efficient models. If you are at UAI, check out our paper on MoEs via Shallow Embedding. With Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, , and Joseph Gonzalez.

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  14. proslijedio/la je Tweet
    25. lip 2019.

    and I have been so honored to work with two amazing Residents, @AYazdEdu and @Azade_nazy! We are very excited that both of them received RS offers from ! So happy that they decided to work with us this year and hope to continue collaborating!

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  15. proslijedio/la je Tweet

    🎉🇨🇦 Congratulations to the godfather of Deep Learning, AI pioneer and Engineering Fellow Geoffrey Hinton on being named a Companion of the .

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  16. proslijedio/la je Tweet
    8. pro 2018.

    If you want to hear about our -based approach for systematic of neural networks come to my talk at 2:40, Room 510AC, workshop at !

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  17. proslijedio/la je Tweet
    8. pro 2018.

    We are very excited to have speak in our NeurIPS Workshop on Machine Learning for Systems!

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  18. proslijedio/la je Tweet
    8. pro 2018.

    I'm looking forward to giving a talk on machine learning for computer systems today at 4:25 PM in room 510AC in the ML for Systems workshop at NeurIPS. This will be followed by a panel with me, Partha Ranganathan, Song Han, and Ion Stoica.

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  19. proslijedio/la je Tweet
    4. pro 2018.

    Links to papers for ML for Systems workshop now available at , looking forward to the talks & posters on saturday!

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  20. 12. stu 2018.

    It’s fascinating how ML brings different fields together! It was great to be able to interact with the vibrant SuperComputing community!

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