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Peter Chen proslijedio/la je Tweet
Why tech start-ups are setting up in cyber neighborhoods beyond .COMhttps://nyti.ms/3982vIm
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Peter Chen proslijedio/la je Tweet
Was wonderful discussing
@CovariantAI vision + progress on AI Robotics with James Vincent from@verge! One of my favorite quotes: ”Our customers don’t trust short demo videos anymore,” says Abbeel. “They know very well most of the difficulty is in consistency and reliability.”https://twitter.com/verge/status/1222444564662947841 …
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Peter Chen proslijedio/la je Tweet
Was wonderful discussing AI Robotics with
@_KarenHao from@techreview! Her article beautifully tells the story of how we ended up proving out the@CovariantAI Brain, and from there work together with KNAPP to deploy.https://twitter.com/_KarenHao/status/1222520596929634304 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
Humans learn from curriculum since birth. We can learn complicated math problems because we have accumulated enough prior knowledge. This could be true for training a ML/RL model as well. Let see how curriculum can help an RL agent learn:https://lilianweng.github.io/lil-log/2020/01/29/curriculum-for-reinforcement-learning.html …
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Peter Chen proslijedio/la je Tweet
“If you want to advance artificial intelligence, you don’t just do it in a lab.” On the frontlines of AI progress -- a German factory -- with
@satariano +@CadeMetz.https://nyti.ms/2t5ti8XHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
Big congrats on the launch
@CovariantAI !
It's awesome to see more examples of cutting edge deep learning lifted from proxy tasks in a research lab into real-world applications, where the problems/challenges "backprop" to you from economics. Good luck!https://twitter.com/CovariantAI/status/1222560287124930560 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Had a lot of fun diving deep into how AI Robots learn with
@CadeMetz &@satarianohttps://twitter.com/CadeMetz/status/1222511484384579586 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
All materials of
@berkeley_ai Deep Unsupervised Learning now up: https://sites.google.com/view/berkeley-cs294-158-sp19/home … Great semester w/@peterxichen,@Aravind7694,@hojonathanho, and guest inst.@AlecRad,@ilyasut,A Efros,@avdnoord Covers: AR / PixelCNN, Flow models, VAE, GAN, self-supervised learning, etc...Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
Serious culinary skills on display at the
@CovariantAI team building yesterday. Thanks@KitchenOnFire!pic.twitter.com/XHZFwaulC8
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Peter Chen proslijedio/la je Tweet
Excited to share our work on TAPE (Tasks Assessing Protein Embeddings), where we assess the state of self-supervision for proteins!
https://arxiv.org/abs/1906.08230
https://github.com/songlab-cal/TAPE …
w/ @Roshan_m_rao@nicholas_bhat@rocky_duan@peterxichen John Canny@pabbeel@yun_s_song 1/8Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
Also think the future of automation is robots that learn? Want to take your ML research / engineering out of the lab and onto real-world robots? Great such opportunities by joining us at http://Covariant.ai ! Find me at
#icml2019 today/tmrw, or pabbeel@covariant.aipic.twitter.com/T69XgOdfks
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Peter Chen proslijedio/la je Tweet
For finding me at
#icml2019 Today: mostly just roaming around workshops w/ emphasis on RL and unsupervised learning Tomorrow: splitting time: - organizing Self-Supervised Learning workshop - talk 12-12:30 Exploration in RL workshop - panel 4:30-5:30 Exploration in RL workshopPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
PS: not just hiring people with expertise in ML or robotics, also hiring software engineers with no prior experience in either domain (but interest in them)
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Peter Chen proslijedio/la je Tweet
Want to AutoAugment w/o original Google paper's budget to spend? Population-based Augmentation matches the performance -- with 1000x less compute! :) BLOG: https://bair.berkeley.edu/blog/2019/06/07/data_aug/ … PAPER: https://arxiv.org/pdf/1905.05393.pdf … w/
@peterxichen , Daniel Ho, Eric Liang, Ion Stoica, R LiawHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
VQVAE-2 finally out! Powerful autoregressive models in a hierarchical compressed latent space. No modes were collapsed in the creation of these samples ;) Arixv: http://arxiv.org/abs/1906.00446 With
@catamorphist and@vinyals More samples and details
[thread]pic.twitter.com/aIg6sk6aZtPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
Generative models [with some new sampling ideas] having impact in databases! :) https://arxiv.org/abs/1905.04278 w/
@ConcreteVitamin, E Liang, A Kamsetty, C Wu,@rocky_duan,@peterxichen,@joe_hellerstein, S Krishnan, I Stoicapic.twitter.com/VNIjhux1ws
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Peter Chen proslijedio/la je Tweet
The future is already here: I trained a neural net called Ilya for 10 years :-)
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Peter Chen proslijedio/la je Tweet
Many great insights in the fast growing and changing logistics space, and the role robotics and automation are slated to play: https://medium.com/baidu-ventures-blog/the-rise-of-the-on-demand-warehouse-8bb8016dffd2?sk=233b4c65ea1011aaa798fc6b59f40acc … also links to (forthcoming) interviews with many leaders in the space at the bottom of this article! by
@fangy23Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je Tweet
Very excited to announce a project 3 years in the making: BLUE, a low-cost, safe, capable robot designed from the ground up with AI in mind. Want BLUE? You can now sign up for priority access here: https://bit.ly/2WZSGq5 Learn more here: https://www.berkeleyopenarms.org/ w/
@Cthephenpic.twitter.com/UcxqyylzuePrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Peter Chen proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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