Jeremiah Harmsen

@JeremiahHarmsen

Creator of and Serving. Lead of Brain Applied at Zurich.

Zurich, Switzerland
Vrijeme pridruživanja: listopad 2017.

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  1. 21. stu 2019.

    And of course it's ready to use on TF-Hub!

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  2. 21. stu 2019.

    Very cool remote sensing work 🛰️ 🌍🌎🌏 🛰️ I bet will love it!

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  3. proslijedio/la je Tweet
    15. stu 2019.

    M-theory is a promising model that unifies quantum mechanics and gravitation, but is difficult to solve analytically. New work published in demonstrates how solutions can be found for this model through novel applications of TensorFlow. Learn more ↓

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  4. 15. stu 2019.

    No one: Absolutely no one: College Board: Hey University, wanna buy some low SAT scores so you can invite them to apply, reject them and look more selective?

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    12. stu 2019.

    Join the conversation on building machine learning systems with 💬👩‍💻💻 Tweet your questions now to: ▫️ ▫️ ▫️ Then tune in to watch the People + AI Research discussion live on Thu 14/11 at 9am ⏰ Set a reminder→

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    9. stu 2019.

    Canada is denying travel visas to AI researchers headed to NeurIPS — again via

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    Looking for pre-trained models? 📊 Check out the new, improved experience of TensorFlow Hub ✨ We're also hosting pre-trained models from the community!

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    30. lis 2019.

    Proud to work for a company that is willing to say no to some $ to stem the plague affecting society.

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    18. ruj 2019.

    Get an early look at Project Ihmehimmeli, new research that leverages insights from biological systems to encode temporal information through the use of artificial spiking . Oh, and it's open source too! Learn more, and find the paper, at ↓

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    We are proud to announce that the FGVCx image embedding model is now live on TensorFlow Hub using training images of >1,000 species from 🇩🇰🍄

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    28. kol 2019.

    ML for the Developing World workshop at NeurIPS 2019 now accepting submissions, deadline Sept 13. This year’s program will focus on the challenges and risks that arise when deploying machine learning in developing regions. Full details at .

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  12. 28. kol 2019.
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  13. 28. kol 2019.

    AI For VERY Good: "Working with the Austrian Research Institute for Artificial Intelligence, a new AI was developed that could translate the 3D models and instructions for assembling a Lego model to step by step text-based descriptions" -

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    20. kol 2019.

    In-browser ML is going to be a massive deal: better privacy and latency than calling a back-end, and incredibly low friction sharing compared to apps. The TFJS team is hiring. If you know JS folks who'd like to work with machine learning all day, please tag them or RT!

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    Congratulations Iulia M. Comsa, Moritz Firsching and Thomas Fischbacher from our Zurich office for their paper on String Theory which was accepted at the Journal of High Energy Physics

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    One of the coolest aspects of SPIRAL is to use computer programs (as opposed to games) as environments for RL agents. Another is to use a discriminator that provides rewards to the agent.

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    SPIRAL is an RL agent that generates images by interacting with off-the-shelf graphics software. We've released 9 agents trained to paint portraits of imaginary people in just 19 brush strokes on ! For more, see: →

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    7. kol 2019.

    Whenever I am working on policy decisions I think of this image... 🚴‍♂️

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    Focus requires saying no to great opportunities.

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  20. proslijedio/la je Tweet
    4. kol 2019.

    This arrow by mathematician and sculptor Kokichi Sugihara can't point left. Here's how it works: It's 3D-printed with a bunch of curves our brains don't register.

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