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having a good ergo setup is a good long-term investment. The office furniture folks at
@autonomousdotai kindly sent me one of their ErgoChairs (https://bit.ly/35AmOwT ) to review. Pros: nice breathable back, all the adjustable options of a pro office chair.pic.twitter.com/Sn7thSBq3i
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I propose a grand challenge for dextrous robotic manipulation: cook eggs in all the ways shown in this videohttps://www.youtube.com/watch?v=BW1x6F63F80 …
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A single bad semantic triple can lead to an entire ontological web collapsing. Reminds me of this quote from Alien, Covenant: "When one note is off, it eventually destroys the whole symphony, David."pic.twitter.com/bwDMIX6prE
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That design choice alone might be fatal. HN user wrnr provides a brilliant example of the surprising complexity and uncertainty underlying the simplest of Semantic triples https://en.wikipedia.org/wiki/Semantic_triple …pic.twitter.com/aFgj2S3xPJ
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Edit: Thanks to Stephan Hoyer, who pointed out that my benchmark only ran on 1 TPU core, whereas a Cloud TPU has 8 available. Updated post, chart and code to reflect that using the whole TPU does speed things up. My implementation could do a better job of parallelizing though.pic.twitter.com/7OZPfA4cSe
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Anything that can be implemented in JAX *will* be implemented in JAX. Here's a differentiable path tracer (and a tutorial!) Blog Post: https://blog.evjang.com/2019/11/jaxpt.html … Code: https://github.com/ericjang/pt-jax pic.twitter.com/KBHnCqka2e
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FB Reality team should have compressed the DeepFovea presentation video with DeepFovea for maximum wow factor. Seriously though, this is awesome video compression work! https://research.fb.com/publications/deepfovea-neural-reconstruction-for-foveated-rendering-and-video-compression-using-learned-statistics-of-natural-videos/ …pic.twitter.com/oDVNiPGt55
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Cool single-actuator hand mechanism I saw at
#CoRL2019pic.twitter.com/gnI2Gex9iH -
Self-training with Noisy Student: A semi-supervised approach by Google/CMU that outperforms Facebook's "weakly labeled 3.5B Instagram" method on ImageNet. https://arxiv.org/abs/1911.04252 pic.twitter.com/8cvlbn5yUP
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Blog post on a "financial vulnerability" in
@RobinhoodApp 's margin lending system. https://blog.evjang.com/2019/11/robinhood-leverage.html …pic.twitter.com/HrpnVLXMiS
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Rendering & sim with spatial sparsity spends 1% time during the actual relevant computation and 99% doing data structure overhead (hash lookup, cache misses, branching). The Taichi Programming Language is an elegant (and fast!) solution! [SIGGRAPH 2019]https://youtu.be/wKw8LMF3Djo
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@ylecun 's "self-supervised / predictive learning talk"https://www.youtube.com/watch?v=1_KhJv0Em5Y … -
JuliaRobotics: Making robots walk with Julia | Robin Deits https://youtu.be/dmWQtI3DFFo via
@YouTube -
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Antony Starr was BORN to play Homelander
#TheBoysTVpic.twitter.com/9ejsYUC9Wy
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If you've ever wondered what "bits-per-pixel" actually means, why logistic distributions are awesome, how to improve training stability of normalizing flows and more... Check out this blog post on training likelihood models https://blog.evjang.com/2019/07/likelihood-model-tips.html …pic.twitter.com/1Cu0Vr9Qzk
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