Sabrina Osmany

@SabrinaOsmany

PhD candidate in Artificial Intelligence & Design . Building creative machines . Prev

Vrijeme pridruživanja: kolovoz 2012.

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  1. Prikvačeni tweet
    2. ruj 2018.

    Spent the last 3 weeks in beautiful Woods Hole learning about the human brain and thinking of ways to build machines inspired by its mysterious ways. Feeling grateful

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  2. 15. pro 2019.

    Got me rereading "Lying in Politics" Hannah Arendt's essay, just in time. Thanks

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  3. proslijedio/la je Tweet

    I stand in solidarity with the student workers at Harvard. All workers deserve respect, dignity, a living wage, access to adequate health care, and protection against harassment and discrimination. I urge the administration to bargain in good faith for a fair contract.

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  4. proslijedio/la je Tweet

    To help recreate a lost Picasso painting, researchers used deep learning to recreate unseen parts of The Old Guitarist, one of Picasso’s most famous paintings from the blue period.

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  5. 11. stu 2019.

    “The long-term survival of our civilization cannot be assured without setting limits on the planetary scale.” -Vaclav Smil on unbridled consumption as the real challenge of the climate crisis.

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  6. 7. stu 2019.

    We're back for round 2! Excited to host the 2nd Machine Learning for Art & Design workshop w/ Spyros Ampanavos. 3 days of Art and AI fun this winter session! More info:

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

    The denial of visas for people to attend scientific conferences inhibits the free flow of ideas that is essential for scientific progress. I wish visas weren't such a hindrance, especially for those from underrepresented countries in the field of ML. We need everyone's voice!

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

    Now accepting applications for our 3rd class of OpenAI Scholars: a 4 month full-time program for individuals from underrepresented groups to study deep learning and produce an open-source project. Mentors include , , :

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  9. 7. kol 2019.

    Gala rising . . . (the algorithm is teasing me)

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  10. 10. srp 2019.

    I used your scraper for this, cheers!

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  11. 10. srp 2019.

    Imprints of a first born. I generated this image by training a on 's nude art genre. Reminds me of an ultrasound

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  12. proslijedio/la je Tweet

    I've created an experimental GAN architecture I call or "Recursive-Residual GAN" and I am pretty astonished that: - it works at all - how well it works across a pretty wide range of scales. - it is just 15% the size of a comparable model

    Portrait generated by RecuResGAN - replication of training example
    Portrait generated by RecuResGAN - replication of training example
    Portrait generated by RecuResGAN - replication of training example
    Portrait generated by RecuResGAN - replication of training example
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  13. proslijedio/la je Tweet
    13. pro 2018.

    “I think the brain isn’t concerned with squeezing a lot of knowledge into a few connections, it’s concerned with extracting knowledge quickly using lots of connections.” Geoff Hinton.

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  14. proslijedio/la je Tweet
    16. stu 2018.

    New essay from and myself, arguing that science has suffered from greatly diminishing returns over the past century:

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  15. 15. stu 2018.

    Excited to host the first Machine Learning for Art & Design workshop w/ Spyros Ampanavos this winter session! 3 days of Art and AI fun! More info here:

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  16. proslijedio/la je Tweet

    Now that I have my local version of running, exploring the wilderness and weirdness of its latent space will become a bit faster and comfortable.

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  17. 18. lis 2018.

    Yoshua Benjio on the search for symbolic priors for good disentangled representations!

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  18. 28. ruj 2018.

    Really enjoyed presenting my project on spatial intelligence using recurrent neural networks for today's meeting of the Center for Brains, Minds & Machines!

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  19. proslijedio/la je Tweet

    We need a Goldilocks Rule for AI: - Too optimistic: Deep learning gives us a clear path to AGI! - Too pessimistic: DL has limitations, thus here's the AI winter! - Just right: DL can’t do everything, but will improve countless lives & create massive economic growth.

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  20. 13. kol 2018.

    Human ophthalmologists make errors in their diagnoses. But so do machines. However machine errors are systematic, making them harder to overcome by just increasing sample size. With human docs, one can always get a second opinion.

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