Brennan Saeta

@bsaeta

Leading the Swift for TensorFlow team. Lots of exciting announcements soon; stay tuned! Former: Tech lead for Cloud TPUs (TensorFlow)

Google - Brain - TensorFlow
Vrijeme pridruživanja: svibanj 2009.
19 fotografija ili videozapisa Fotografije i videozapisi

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  1. proslijedio/la je Tweet
    2. velj

    It's the year 2020, and we're still finding buffer overflows in programs written in C. Fortunately, those programs are only esoteric, rarely installed programs like... <checks notes> sudo.

    19 replies 498 proslijeđenih tweetova 1.775 korisnika označava da im se sviđa
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  2. proslijedio/la je Tweet
    3. velj

    Nice to see Swift continue its fast growth - interesting that Swift, C and C++ are the only traditionally statically compiled languages in the top 10.

    🔥Programming Language awarded TIOBE of the Year 2019. Language C wins the award with an yearly increase of 2.4%. Runners up are C# (+2.1%), (+1.4%) and (+0.6%).
    12 replies 55 proslijeđenih tweetova 263 korisnika označavaju da im se sviđa
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  3. proslijedio/la je Tweet
    1. velj

    Had a lot of fun this week visiting the S4TF team and helping train resnets on ImageNet to full accuracy on TPUs. Code will be open-sourced soon, so stay tuned!

    11 proslijeđenih tweetova 124 korisnika označavaju da im se sviđa
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  4. proslijedio/la je Tweet
    28. sij
    Odgovor korisniku/ci

    Indeed! Thanks for your hard work and for setting several important projects on good paths! We wish you the best.

    6 proslijeđenih tweetova 85 korisnika označava da im se sviđa
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  5. proslijedio/la je Tweet
    28. sij

    Sigh internet🧐. Clarifying: all of the projects I was involved in & driving at Google (incl. S4TF, MLIR, an incredible new TF runtime, XLA, TPU SW, etc) are in very good hands 💪🙌, have exec commitment and strong roadmaps. I c/wouldn't leave if uncertain about that!

    7 replies 36 proslijeđenih tweetova 453 korisnika označavaju da im se sviđa
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  6. 25. sij

    Really great presentation and awesome work!

    It was an honor presenting at for design meeting. Here the slides for who was asking for:
    1 reply 1 proslijeđeni tweet 6 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    22. sij

    Have you ever wondered what will be the ML frameworks of the '20s? In this essay, I examine the directions AI research might take and the requirements they impose, concluding with an overview of what I believe to be two strong candidates: JAX and S4TF.

    13 replies 128 proslijeđenih tweetova 521 korisnik označava da mu se sviđa
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  8. proslijedio/la je Tweet
    14. sij

    🎉 I am so proud to announce that Swift for Good: Volume One is out now, with incredible contributions from folks around the community. We raised over $40,000 from pre-orders alone, with all money going to . Get your copy here:

    Swift for Good: Learn Swift, change the world.
    17 replies 196 proslijeđenih tweetova 546 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    14. sij

    There's great potential in the use of machine learning for a wide variety of weather and climate problems. Here's one example, predicting precipitation at much finer spatial granularity than traditional physics-based models.

    Today at the meeting, we are presenting research into precipitation nowcasting, which focuses on 0-6 hour forecasts with 1 km resolution and only 5-10 minute lag-time, using “physics-free” models. Learn all about it at .
    21 reply 182 proslijeđena tweeta 677 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    13. sij

    Answer to What are similarities and differences between C++ and Swift? by Dave Abrahams

    35 proslijeđenih tweetova 154 korisnika označavaju da im se sviđa
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  11. proslijedio/la je Tweet
    7. sij

    I completed my 1st data science project ~30 years ago. Since then I've been continuously developing a questionnaire I use for all new data projects, to ensure the right info is available from the start. I'm sharing it publicly today for the first time.

    55 replies 1.071 proslijeđeni tweet 3.712 korisnika označava da im se sviđa
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  12. proslijedio/la je Tweet
    8. sij

    If you're interested in learning about what's coming in fastai v2, you might be interested in this overview of the key pieces. Many thanks to , , , & all the Swift for TensorFlow team for providing this opportunity.

    1 reply 48 proslijeđenih tweetova 234 korisnika označavaju da im se sviđa
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  13. proslijedio/la je Tweet
    1. sij

    The "Deep Learning Toolbox" has greatly expanded in the last decade thanks to our wonderful research community. Also, important progress has been made to make our community more inclusive and less toxic. Still, there's LOTS to do, and I plan to keep focusing on advancing both.

    8 replies 393 proslijeđena tweeta 1.438 korisnika označava da im se sviđa
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  14. proslijedio/la je Tweet
    2. sij

    The 2010s were an eventful decade for NLP! Here are ten shocking developments since 2010, and 13 papers* illustrating them, that have changed the field almost beyond recognition. (* in the spirit of and , exclusively from other groups :)).

    7 replies 330 proslijeđenih tweetova 836 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    30. pro 2019.

    I don’t know what amount of black magic went into JAX, but my first shot at a vectorized Metropolis Hastings showed a 3x speedup over NumPy on *CPU*. Hamiltonian Monte Carlo, you’re next.

    21 proslijeđeni tweet 136 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    31. pro 2019.

    After some optimization, I get a speedup of x1.3 for a single chain (wtf already) and 10x for 100,000 chains. I am only jitting and substituting numpy with jax.numpy. This deserves a blog post.

    2 proslijeđena tweeta 40 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    1. sij

    I Love the 20s

    67 replies 2.664 proslijeđena tweeta 7.101 korisnik označava da mu se sviđa
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  18. proslijedio/la je Tweet
    27. pro 2019.

    Reasons I love writing and think everyone should write more: 1. To organize your thoughts 2. To learn: the best way to learn is to write/teach 3. To keep you accountable 4. To document your progress 5. To write better 6. To put your name out there 7. To enjoy the beauty of words

    21 reply 233 proslijeđena tweeta 1.509 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    23. pro 2019.

    I still really like the description of Swift’s memory model (I believe I’m paraphrasing here) as being exactly like Rust, except all lifetimes are implicit and whenever it would emit a compile error it emits a copy or retain instead.

    4 proslijeđena tweeta 54 korisnika označavaju da im se sviđa
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  20. proslijedio/la je Tweet
    23. pro 2019.

    It’s okay to not read arXiv papers over the Holidays

    17 proslijeđenih tweetova 206 korisnika označava da im se sviđa
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