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  1. 2. velj

    - an project bringing so much value in this . A huge thank you to the contributors 👍

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  2. 2. velj

    The would be a better place if everyone would run 😇

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    1. velj

    This robot can mimic emotions almost as well as a real person. Via:

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  4. 30. sij

    NO GOD! PLEASE NO!!! NOOOOOOOO!!! 🤣 A robot looking like a spider.

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  5. 29. sij
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  6. 29. sij

    is hugely underestimated, but I would guess that robust or super-modern distros will gain popularity. Nevertheless, is mandatory for infrastructure.

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  7. 29. sij

    We need holistic and solutions on all our devices and integrated into our services. I am pretty sure we will see widespread use of those solutions soon.

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  8. 29. sij

    Without a strong , will have a challenging future. Device-independent is on the rise.

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  9. 29. sij
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  10. proslijedio/la je Tweet
    27. sij

    Amazing: a termite track (top) and an ant track (bottom) • each travelling insect is protected by its own column of soldiers, no fights necessary | 📹 via Mehdi Moussaid

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  11. 25. sij
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  12. 19. sij
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  13. 19. sij
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  14. proslijedio/la je Tweet
    16. sij

    Monetary policy | New San Francisco FED working paper: "The Long-Run Effects of Monetary", by Jordà, Singh & Taylor.

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  15. 18. sij
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    17. sij
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  17. proslijedio/la je Tweet
    17. sij

    Enfin ! The first Release Candidate for 3.2 is out! Over 6000 commits by close to 450 contirbutors, this is almost as big as the 3.1 release was! Please test it to help us ensure that 3.2 will be the best Godot experience so far!

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  18. proslijedio/la je Tweet
    16. sij

    torchvision v0.5: quantization, production - ResNets, MobileNet, ShuffleNet, GoogleNet and InceptionV3 now have quantized counterparts with pre-trained models, scripts for quantization-aware training. - All models are TorchScript-ready and ONNX-ready

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  19. proslijedio/la je Tweet
    16. sij

    torchaudio v0.4: more transforms, datasets, backend support - LibriSpeech and Common Voice loaders - Filters (biquad), batched / jittable transforms (MFCC, gain, dither), more augmentation - interactive speech recognition demo with voice detection

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  20. proslijedio/la je Tweet
    16. sij

    XOR behavior found in single neurons. This was thought impossible. "Maybe you have a deep network within a single neuron. And that’s much more powerful in terms of learning difficult problems, in terms of cognition."

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