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UNROOTED teams up with Disney's Mufasa: The Lion King youtu.be/x2Q0Ia0DG3U?si… ❤️❤️ You should buy Unrooted shots, and not *just* because it's my wife's company. They're actually amazing 🤤
great article from @svlevine about the real-world being the ultimate place to harvest data for robotics substack.com/home/post/p-14… I've argued for this for years at Google, not particularly successfully. Hopefully articles like this can help shift the attitude
I'm with David on this one. Great paper! The key bit is "Having to attack all resolutions & all abstractions at once leads naturally to human-interpretable attacks" All the adversarial generation stuff flows from there
Tony Blair's single biggest piece of advice to Labour once they win the election:
Check out the new fusion simulator we’ve been working on at DeepMind!
Excited to announce the release of TORAX, a tokamak transport simulator from our @GoogleDeepMind Fusion team! #fusionenergy - Open-source: github.com/google-deepmin… - Uses JAX: fast, differentiable - Easy coupling of ML-surrogates Hot off the press → arxiv.org/abs/2406.06718
MuJoCo 3.1.6 has just been released! MJX now comes with out-of-the-box support for height fields. Check out this joystick policy that @the_real_btaba trained (~2M steps per second on an A100). Colab to reproduce: colab.research.google.com/github/google-…
We present a new SOTA on point tracking, via self-supervised training on real, unlabeled videos! BootsTAPIR achieves 67.4% AJ on TAP-Vid DAVIS with minimal architecture changes, tracks 10K points on a 50-frame video in 6 secs. Pytorch & JAX impl on Github. bootstap.github.io
in case you missed our presentation + poster on RoboTAP yesterday @ieee_ras_icra you can find out details on our webpage robotap.github.io or ping @JonathanScholz2, @yangyi02 or me - we are still on site in Japan! #ICRA2024
If you are in Vienna for ICLR, come by and say hi to our brilliant intern and collaborator @BenAEisner who is presenting our work on geometric reasoning for precise robotic tasks. Project website: sites.google.com/view/reldist-i…
(1/N) How can we get robots to make precise placement predictions when solving rearrangement tasks, just by watching demonstrations? In our ICLR 2024 paper, “Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks”, we do just that! Paper: arxiv.org/abs/2404.13478
The curious case of the missing middle (in AI)! One builds their following on a persona and then they have to stick to their brand fanatically, sometimes even irrationally! Extremes get lots of love (🩷 and 🔁) Turns out "Attention is all you need"! Thinks American politics:…
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