Blaise Aguera

@blaiseaguera

Blaise Aguera y Arcas works on Machine Intelligence at Google. He founded Seadragon, and was one of the creators of Photosynth at Microsoft.

Seattle
Vrijeme pridruživanja: siječanj 2010.

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  1. proslijedio/la je Tweet

    I have a favor to ask. For 20+ years I've been working on a dream: to make all science funded by US taxpayers freely available to all. We are on the verge of achieving this. But we need to show that people care. So please, if you can, sign this letter:

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  2. proslijedio/la je Tweet
    23. sij

    Video recordings from our workshop are up on our website! Watch fantastic talks by and Dylan Baker (in collaboration with and ) and intro by here:

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  3. 20. sij

    Sam, thank you for a great interview! Hope this is of interest to anyone thinking about neuroevolution, post-optimization paradigms, Alife, and sociality in AI.

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  4. proslijedio/la je Tweet
    6. sij

    Dark matter is most of the mass in the Universe; we and our galaxy likely would be here without it, but what is it? More about how we are mapping it out, how we can learn about it with tiny galaxies, and how we might find out what it is at my !

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  5. 13. pro 2019.

    Advances and Open Problems in Federated Learning: from 22 Googlers and 36 academics at 24 institutions! (a) improving efficiency, (b) preserving privacy, (c) defending against attacks, (c) addressing fairness. Here’s to years of future progress on these :)

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  6. proslijedio/la je Tweet
    13. pro 2019.

    Wired on and Yoshua Bengio's NeurIPS talks and the potential for deeper biological inspiration in AI.

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    18. stu 2019.

    Generative Models for Effective ML on Private, Decentralized Datasets by Sean Augenstein et al. including

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  8. 24. lis 2019.

    Very proud of the team's work on a number of AI features in Pixel 4, including realtime transcription in the Recorder app. Useful and beautifully done.

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  9. 24. lis 2019.

    Excited to see our on-device AI platform, Coral, starting to scale up. This started as prototyping for makers, but I believe it’s on its way to becoming big. Running models locally on specialized hardware opens avenues to stronger privacy and less energy use.

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

    We are excited to announce the results of our quantum supremacy experiment. Using a fully programmable, 54-qubit processor, called “Sycamore”, we have performed a calculation in 200 seconds that’s infeasible on the fastest supercomputers. Learn more ↓

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  11. proslijedio/la je Tweet
    19. lis 2019.

    Announcing keynote lecture by Blaise Aguera y Arcas from Google AI at this year’s MAIN conf in Montreal- Title: Evolving neural nets that can learn on their own. Register here today: Please RT

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  12. 24. ruj 2019.

    Ren is brilliant, and this will be something not to miss. See you all there!

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  13. proslijedio/la je Tweet

    Today is the last day to apply for our 2019 grant program. International applicants are welcome to apply. Proposals are due by 18:00 PST. Explore the full RFP here:

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  14. proslijedio/la je Tweet
    22. svi 2019.

    We’re so proud that has been named as one of ’s Most Creative People 2019 for her groundbreaking research on the social implications of AI! Learn more about Kate's work and view the full list at

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  15. proslijedio/la je Tweet
    21. svi 2019.

    Delighted to be hosting at next week in conjunction with 's Intelligent Machinery course!

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  16. proslijedio/la je Tweet
    11. svi 2019.

    In the hustle of IO, I missed this awesome comic on federated learning. Kudos to Lucy Bellwood and Scott McCloud for the comic. At the bottom of the page are links to research papers and other content about federated learning by researchers.

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  17. proslijedio/la je Tweet

    Yesterday at we announced a new collaboration with and to support six contemporary artists working with machine learning in their art practices. Apply here:

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  18. 8. svi 2019.

    It's great to see the press recognize that we have been working on foundational technology for privacy for years-- not just in response to recent developments.

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  19. proslijedio/la je Tweet
    7. svi 2019.

    With federated learning, a new approach to machine learning invented by Google, products like get better, faster—without collecting data from your device.

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  20. proslijedio/la je Tweet
    7. svi 2019.

    Federated learning enables many devices to collaboratively train a global ML model without centralizing their data. Check out a comic book style introduction to FL, and dive deeper into details at

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