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Early Bird ticket sales for
@TechCrunch Sessions: Robotics+AI at@UCBerkeley end on January 31st--buy yours today before prices go up! Student tickets--$50; early bird tickets--$275 + 15% discount with promo code BAIR https://techcrunch.com/events/tc-sessions-robotics-ai-2020/ …pic.twitter.com/9wIoN7jPeZ
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Berkeley AI Research proslijedio/la je Tweet
We just published a blog about our experiences developing
#RayTune with BAIR researchers for scaling up their research -- try it out yourself! https://bairblog.github.io/2020/01/16/tune/ …@raydistributedHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Berkeley AI Research proslijedio/la je Tweet
"I keep telling my students: you don’t have to fit into a box that someone else made for you, you can make your own box, and you don’t have to fit into that either." I LOVED interviewing amazing
@Berkeley_EECS prof Gireeja Ranade!#steminism#computersciencehttps://twitter.com/BerkeleySciRev/status/1217509399524044800 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out this awesome project that BAIR student Greg Kahn (http://people.eecs.berkeley.edu/~gregoryk/ ) worked on at
@SkydioHQ on training an autonomous deep neural network pilot to film while avoiding obstacles!https://twitter.com/SkydioHQ/status/1217181284922875904 …
1:32Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Berkeley AI Research proslijedio/la je Tweet
Check out Glen's post "Emergent Behavior by Minimizing Chaos": https://bair.berkeley.edu/blog/2019/12/18/smirl/ … Minimizing surprise can lead to complex behaviors that maintain homeostasis, like playing vizDoom, balancing, or learning to play tetris, all w/o any reward. Paper: https://arxiv.org/abs/1912.05510 pic.twitter.com/Vf6NBXie7Z
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People give massive amounts of personal data to companies every day. Compensating users for their personal data requires an approach to assigning value to it. Ruoxi Jia's BAIR blog post presents a possible solution--a new method for data valuation. https://bair.berkeley.edu/blog/2019/12/16/data-worth/ …
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Berkeley AI Research proslijedio/la je Tweet
Laura & Marvin’s blog post on this work is now out:https://bair.berkeley.edu/blog/2019/12/13/humans-cyclegan/ …
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Berkeley AI Research proslijedio/la je Tweet
Model-Based Reinforcement Learning: Theory and Practice https://bair.berkeley.edu/blog/2019/12/12/mbpo/ … New blog post by
@michaeljanner about the taxonomy of model-based RL methods, when we should use models, and the state-of-the-art MBPO algorithm for sample-efficient RL.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Berkeley AI Research proslijedio/la je Tweet
New BAIR blog post on RoboNet! A dataset of multi-robot interactions that we hope will make pretraining the norm, and training your robot from scratch a thing of the past.https://bair.berkeley.edu/blog/2019/11/26/robo-net/ …
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Berkeley AI Research proslijedio/la je Tweet
My first attempt at a talk for a public audience, explaining some of the intricacies of human-robot coordination. Also a non-technical overview of work with
@DorsaSadigh, Jaime Fisac,@andreaBajcsy, and collaborators from Claire Tomlin's group:https://www.wired.com/video/watch/anca-dragan-speaks-at-wired25 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Berkeley AI Research proslijedio/la je Tweet
Can we learn the language of proteins? Check out our
@berkeley_ai blog post where we discuss Sesame Street, protein plagiarism, and manage to fit in some machine learning along the way.https://bair.berkeley.edu/blog/2019/11/04/proteins/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Berkeley AI Research proslijedio/la je Tweet
Model-based RL in space of entities; entities processed w/ locally scoped functions & inferred from raw images through dynamic interaction without supervision on objects w/
@RndVar@JDCoReyes@michaeljanner@chelseabfinn@jiajunwu_cs J. Tenenbaum@svlevine http://tiny.cc/7yrgfz https://twitter.com/svlevine/status/1189371163534741504 …pic.twitter.com/hUEsXeZCMqHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
How can computers learn to follow instructions from a small amount of language data? Check out this BAIR blog post by David Gaddy on data-efficient language learning by pre-forming representations of an environment!https://bair.berkeley.edu/blog/2019/10/28/look-then-listen/ …
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Berkeley AI Research proslijedio/la je Tweet
Computer algorithm developed by UCSF & UC Berkeley scientists bested 2 out of 4 expert radiologists finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with traumatic brain injuries, strokes & aneurysms.https://news.berkeley.edu/story_jump/with-ai-machines-become-expert-at-finding-hemorrhages-on-brain-scans/ …
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Berkeley AI Research proslijedio/la je Tweet
Excited to share our work: collaboration requires understanding! In Overcooked, self-play doesn't gel with humans: it expects them to play like itself. (1/4) Demo: https://humancompatibleai.github.io/overcooked-demo/ … Blog: https://bair.berkeley.edu/blog/2019/10/21/coordination/ … Paper: https://arxiv.org/abs/1910.05789 Code: https://github.com/HumanCompatibleAI/overcooked_ai …pic.twitter.com/lqbzeTwoqr
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Berkeley AI Research proslijedio/la je Tweet
Excited to be a part of
@the_IAS Workshop on Theory of#DeepLearning: Where Next. Video of my talk on "Overcoming Mode Collapse and the Curse of Dimensionality" is now available at https://www.youtube.com/watch?v=lO4HDchiegY … and the slides are available at https://drive.google.com/file/d/1PV4YN3OQprww4BCDwB9XWMUIz_mbdDab/view?usp=sharing ….Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
New BAIR blog by Eric Liang, Richard Liaw & Clement Gehring describing a functional API for implementing reinforcement learning algorithms with simplicity in mind!https://twitter.com/ucbrise/status/1174032904805945344 …
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Berkeley AI Research proslijedio/la je Tweet
My cover essay in the WSJ this week, on what AI can learn from babies featuring the Berkeley DARPA team! (Nice picture too) https://www.wsj.com/articles/the-ultimate-learning-machines-11570806023?shareToken=steabf3cfd111446f2a92cc42381f5e75a …https://www.wsj.com/articles/the-ultimate-learning-machines-11570806023?shareToken=steabf3cfd111446f2a92cc42381f5e75a …
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Berkeley AI Research proslijedio/la je Tweet
Our weekly CompNeuro journal club is back up and running for the quarter. Today, we discussed Cheung et al’s preprint "Superposition of many models into one" from
@berkeley_ai and@Redwood_Neuro. Led by AJ Kruse and Satpreet Singh. https://arxiv.org/abs/1902.05522 pic.twitter.com/Wu9mNWCBDY
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Berkeley AI Research proslijedio/la je Tweet
Check out Anusha Nagabandi's blog post about our latest work on dexterous manipulation with model-based RL!https://bair.berkeley.edu/blog/2019/09/30/deep-dynamics/ …
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