Piotr Mirowski

@MirowskiPiotr

Research scientist in deep learning. Worked on navigation, robotics, natural language processing, epilepsy, climate and genomics. All opinions my own. he/him.

London
Vrijeme pridruživanja: srpanj 2013.

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  1. proslijedio/la je Tweet

    We will look after your star & work to ensure the EU is a project you'll want to be a part of again soon! 🇪🇺❤🇬🇧

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    The Union Jack is removed from the European Council building in Brussels. Britain leaves the European Union at 11pm this evening.

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  3. proslijedio/la je Tweet
    29. sij

    After 2+ years in stealth, we’re excited to launch today! Thank you to our team, customers, partners and investors, we couldn’t have done it w/o your support and trust. Exciting milestone, even more exciting journey ahead!

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  4. 29. sij

    La connerie est-elle contagieuse ? "« Garde ton virus, sale Chinoise ! » : avec le coronavirus, le racisme antiasiatique se propage en France" ()

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  5. proslijedio/la je Tweet
    29. sij

    Our paper 'A distributional code for value in dopamine-based reinforcement learning' on the cover of ! Read it here: Shout out to the amazing artists/designers at who make this possible, while we get to focus on the research.

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  6. proslijedio/la je Tweet
    26. sij

    Who here realises the ENORMOUS privilege that the use of English as an international science & publishing language conjures on native English speakers in academia?

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  7. 26. sij

    "[...] in the quest to publish the drama of competing dogmas, the media largely ignore mainstream scientists whose hesitations make for dull copy [...]" Kerry Emanuel, in What We Know about Climate Change

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    25. sij

    I hope not everyone in those PhD committees think like this. You are valuing quality of writing over achievements (as depicted in a CV.) You are favoring native English speakers over those whose first language is not English. Scary.

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  9. proslijedio/la je Tweet
    21. sij

    🚨New lecture series🚨 We've teamed up with to bring you the Deep Learning Lecture Series: 12 lectures covering a range of topics in Deep Learning - all led by DeepMind researchers, all free, and all open to everyone. Info & tickets:

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  10. 21. sij

    In the last 4 years, the US have experience over 14 billion-dollar natural disasters every year -- the highest number since 1980. The frequency of these disasters is attributed to climate change. (Source: NOAA)

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  11. 18. sij

    A fantastic and sleek educational project about EEG that works with headbands: it lets you visualise spectrograms, ERPs and even try brain-controlled animations. By , and

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  12. proslijedio/la je Tweet
    15. sij

    Two of our recent projects published in today! Our work on protein folding and another exploring the link between distributional RL and dopamine in the brain. Huge congrats to everyone who contributed to make these scientific achievements possible!

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  13. proslijedio/la je Tweet
    15. sij

    When neuroscience and AI researchers get to chatting, cool stuff happens! My first, and I hope not last, trip into neuroscience has been published in Nature. 1/

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    Although neural networks usually require massive datasets to do impressive things, for me the highlight of is the fact that it achieved state-of-the-art using only 30K training examples. Code: Paper:

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  15. proslijedio/la je Tweet

    Understanding how proteins fold is a fundamental scientific question that could one day help unlock treatments for a range of diseases. Excited that our work, which uses deep neural networks to predict protein structures, is published in today!

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  16. proslijedio/la je Tweet

    Some of ’s most fascinating work happens at the intersection of AI and neuroscience. Our paper published in today is a good example. It takes inspiration from our recent work in Reinforcement Learning to shed new light on how dopamine works in the brain.

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  17. proslijedio/la je Tweet
    15. sij

    We have 2 papers published in today! 🎉 One describes AlphaFold, which uses deep neural networks to predict protein structures with high accuracy. AlphaFold made the most accurate predictions at the 2018 scientific community assessment CASP13. 1/4

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  18. proslijedio/la je Tweet
    15. sij

    We worked with to show that distributional RL, a recent development in AI research, can provide insight into previously unexplained elements of dopamine-based learning in the brain. Read the blog: (2/2)

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  19. proslijedio/la je Tweet
    15. sij

    More exciting news today: an example of how AI and neuroscience continue to propel each other forward. (1/2)

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  20. proslijedio/la je Tweet
    15. sij

    Touchdown is now much easier to access! This is all because of the hard work and persistence of 's team in , including and Eugene Ie, and . This shows an amazing level of support and commitment to open research 👏👏👏 Thank you!

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