We're graduate students, postdocs, faculty and scientists at the cutting edge of artificial intelligence research.
Berkeley, CA
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Check out Koala 🐨: a new chatbot from BAIR researchers fine-tuned on dialogue that approaches ChatGPT quality!
Work led by @haoliuhl @Eric_Wallace_ @ArnavGudibande and Xinyang Geng
Blog: bair.berkeley.edu/blog/2023/…
Demo: koala.lmsys.org/
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Announcing the BAIR Open Research Commons @Berkeley_AI @UCBerkeley to accelerate cutting-edge collaborative AI research with founding sponsors @Amazon, @Facebook, @Google, @Samsung, and @WaveComputing!
bair.berkeley.edu/blog/2019/…
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BAIR is launching a Research Experience for Undergraduates (REU) this summer, aiming to work with exceptional students from HBCUs and PBIs on cutting-edge AI research and to foster discussions on career pathways in AI. See details & eligibility criteria at bair.berkeley.edu/reu
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When and why can feed-forward networks replace recurrent neural networks without a loss in performance? Find out the answer by reading the new BAIR blog! bair.berkeley.edu/blog/2018/…
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#TransferLearning is crucial for general #AI, and understanding what transfers to what is crucial for #TransferLearning. Taskonomy (#CVPR18 oral) is one step towards understanding transferability among #perception tasks. Live demo and more: taskonomy.vision/
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Blog post:"Learning Diverse Skills via Maximum Entropy Deep Reinforcement Learning" by Haoran Tang & Tuomas Haarnoja bair.berkeley.edu/blog/2017/…
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Read about a new large-scale driving dataset, BDD100K, on the BAIR blog! bair.berkeley.edu/blog/2018/…
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Looking to hire top AI talent?
We've compiled a list of the brilliant @berkeley_ai Ph.D. Graduates of 2024 who are currently on the academic and industry job markets. (Thanks to our friends @StanfordAILab for the idea!)
Check it out here:
bair.berkeley.edu/blog/2024/…
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Read BAIR faculty member Michael Jordan's perspective on the current state of AI! medium.com/@mijordan3/artifi…
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Congratulations to former @berkeley_ai PhD students and @Stanford faculty members @DorsaSadigh and @chelseabfinn on being awarded the @ieeeras Early Academic Career Award in Robotics and Automation at #ICRA2022!!
ieee-ras.org/about-ras/lates…
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Sample-efficient multitask deep RL, on real robots, directly from pixels! The key is to enable agents to set their own goals and autonomously practice reaching them. Read more on the new BAIR blog post by @Vitchyr & Ashvin Nair!
bair.berkeley.edu/blog/2018/…
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Meta-learning can enable a robot to imitate a vision-based skill from a single human demonstration! New BAIR blog post from Tianhe Yu and @chelseabfinn on "One-Shot Imitation from Watching Videos"
bair.berkeley.edu/blog/2018/…
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BAIR Blog post on PEARL--a meta-RL algorithm that reduces meta-training time by 20-100X: bair.berkeley.edu/blog/2019/…
This work will also be presented at ICML this week (Wednesday: 12:15pm talk, 6:30pm poster) by Kate Rakelly & Aurick Zhou w/ Deirdre Quillen, @chelseabfinn, @svlevine
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Congratulations to BAIR Researchers from @trevordarrell lab whose paper "Hidden in plain sight: VLMs overlook their visual representations," was awarded an Outstanding Paper Award at #COLM2025 this week in Montreal, Canada.
@xkungfu @tylerraye @databoydg
Outstanding paper 4🏆:
Hidden in plain sight: VLMs overlook their visual representations
openreview.net/forum?id=qQb1…
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Are you applying to grad school this fall?
The Equal Access to Application Assistance (EAAA) program for @Berkeley_EECS is now accepting applications! Any PhD applicant to @Berkeley_EECS can submit their application for feedback by Oct. 5th 11:59PM PST.
EAAA is a student-led program designed to help more grad applicants get access to application assistance. A current or recent grad student in Berkeley EECS will provide feedback on application statements, resumes, and other application materials prior to the application deadline. Please see sites.google.com/berkeley.ed… for more information and send any questions to eaaa@berkeley.edu!
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"Explaining what Explainable AI Did Not": @lvinwan describes how to make models as accurate as neural networks but with an interpretable decision process in the new BAIR blog!
bair.berkeley.edu/blog/2020/…
#xai
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@StanfordAILab alternate caption: “weak security at stanford allows unaffiliated visitors to use expensive robots”
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Big congratulations to @BerkeleyISchool and @Berkeley_EECS faculty Niloufar Salehi on winning an @NSF grant to develop language translation for high-stakes settings!
ischool.berkeley.edu/news/20…
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See how to automatically transfer font style with GANs on the BAIR Blog! Work by Samaneh Azadi bair.berkeley.edu/blog/2018/…
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Huge congratulations to BAIR alumni @georgiagkioxari and @phillip_isola for winning the prestigious 2021 Young Researcher Award at @CVPR! Previous winners include Berkeley alumni @jon_barron in 2020 and @inkynumbers in 2017 — proud of our trailblazers in Computer Vision!
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The latest BAIR blog post from @xbpeng4 shows how we can combine computer vision and deep reinforcement learning to learn acrobatics from raw videos!
Video imitation paper accepted into @SIGGRAPHAsia!
Blog: bair.berkeley.edu/blog/2018/…
Project page: xbpeng.github.io/projects/SF…
Big thanks to all my collaborators for making this work possible, @akanazawa, Jitendra Malik, @pabbeel, @svlevine
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How can we design neural networks in a principled way? New work from @DeWeeseLab @berkeley_ai explores a theoretically-motivated paradigm for doing just that for dense networks! Read about it here: bair.berkeley.edu/blog/2022/…
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The new BAIR blog post describes an open-source tool for scaling multi-agent reinforcement learning, built on top of Ray! bair.berkeley.edu/blog/2018/…
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New from @BerkeleyNLP: We’re introducing Ghostbuster, a state-of-the-art method for detecting LLM-generated text. 🚫👻🚫
Paper: arxiv.org/abs/2305.15047
Model: ghostbuster.app
Blog: bair.berkeley.edu/blog/2023/…
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Berkeley researchers @ashishkr9311 and Jitendra Malik (collab. with @zipengfu @pathak2206) have released their work equipping legged robots with an ability to adapt to unfamiliar terrain like sand, mud, hiking trails, grass and dirt.
@SCSatCMU @facebookai
engineering.berkeley.edu/new…
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New BAIR blog on assessing generalization in deep reinforcement learning! bair.berkeley.edu/blog/2019/…
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Happy New Year! Check out Ray, a distributed scheduler compatible with common deep learning frameworks (TensorFlow, PyTorch, MXNet, etc.) and designed with reinforcement learning in mind! bair.berkeley.edu/blog/2018/…
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BAIR PhD graduate @junyanz89 has received the 2018 SIGGRAPH Dissertation Award! Congratulations!
siggraph.org/outstanding-doc…
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Blog post now at bair.berkeley.edu/blog/2019/…!
New reinforcement learning library rlpyt in pytorch thanks to Adam Stooke from @berkeley_ai (and previously intern with me at @DeepMindAI). There are a whole suite of RL algorithms implemented and framework for small and medium scale distributed training. github.com/astooke/rlpyt
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Wondering how to exploit the modelling capacity of generative models to perform data compression? Bit-Swap turns hierarchical VAEs into lossless compression schemes for high-dimensional data, like images. Check out this blogpost (incl. explanatory video)! bair.berkeley.edu/blog/2019/…
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One last blog post to end a great year of research at BAIR! "Physical Adversarial Examples Against Deep Neural Networks" by Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, and Bo Li et al. bair.berkeley.edu/blog/2017/…
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New work led by Ilija Radosavovic, Tete Xiao and Bike Zhang @berkeley_ai on learning bipedal locomotion on real hardware (Digit @agilityrobotics) with model-free RL and sim-to-real!
Learning Humanoid Locomotion with Transformers
abs: arxiv.org/abs/2303.03381
project page: humanoid-transformer.github.…
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New blog post by Ke Li (more meta-learning!): "Learning to Optimize with Reinforcement Learning" bair.berkeley.edu/blog/2017/…
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Congratulations to BAIR Researchers from @trevordarrell @pabbeel @JitendraMalikCV @akanazawa labs who won the Best Student Paper award at the just concluded #CoRL2025 in Seoul, Korea for their paper "Visual Imitation Enables Contextual Humanoid Control."
@arthurallshire @redstone_hong @junyi42 @davidrmcall @AnthonyZhang123 @ChungMinKim
Congratulations to the videomimic team for winning the best student paper award at CoRL 2025 🥹🎉 Grateful to the CoRL community for the recognition!
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In an article published by @WIRED, Mike Jordan @UCBerkeley, Daron Acemoglu @MIT and Glen Weyl @MSFTResearch assert that society would benefit far more by developing AI approaches that complement human intelligence, rather than trying to imitate it.
data.berkeley.edu/news/data-…
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Should you plan ahead or learn by trial and error? Read @Vitchyr's BAIR blog post to see how temporal difference models (TDMs) combine the advantages of model-based and model-free reinforcement learning! bair.berkeley.edu/blog/2018/…
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Laura Waller has been selected as the 2021 recipient of the Optical Society of America Adolph Lomb Medal. The Adolph Lomb Medal, established in 1940, is presented to an early career researcher who has made a noteworthy contribution to optics. @optrickster osa.org/en-us/history/biogra…
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Congratulations to David Gaddy and Dan Klein of @BerkeleyNLP for the Best Paper Award at #emnlp2020 !
Paper: aclweb.org/anthology/2020.em…
Talk: slideslive.com/38939073
syncedreview.com/2020/11/18/…
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Vision systems require the ability to recognize common, rare, and never-before-seen classes in real-world scenarios. Check out the new BAIR blog on "Open Long-Tailed Recognition” (OLTR)!
bair.berkeley.edu/blog/2019/…
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Check out pics of commencement & our new BAIR PhDs! (Please add your own pics if you attended. Anything in the album can be reposted by anyone in BAIR!)
photos.app.goo.gl/tNgp6jBnNu…
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How can robots learn objectives simply from physical human interaction? Read the latest BAIR blog post by @andreaBajcsy to find out! bair.berkeley.edu/blog/2018/…
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New BAIR blog post! "Reverse Curriculum Generation for Reinforcement Learning Agents" by Carlos Florensa et al. bair.berkeley.edu/blog/2017/…
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BAIR researchers on how curiosity can help reinforcement learning agents explore & learn:
quantamagazine.org/clever-ma…
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Congratulations to Prof. Stuart Russell on winning the @IJCAIconf '22 Award for Research Excellence, arguably the highest honor in the field of AI!
He joins a brilliant group of scientists including McCarthy, Minsky, @geoffreyhinton and fellow @UCBerkeley Profs. Malik and Jordan
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.@berkeley_ai is the most impactful AI research lab in academia according to this metric. Go bears.
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Robots that use tools! Through imitation and self-supervised learning, a robot can learn to make use of even unfamiliar objects as tools -- check out the new BAIR blog to find out how!
bair.berkeley.edu/blog/2019/…
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More on AI safety: new blog post on "Cooperatively Learning Human Values" from @dhadfieldmenell bair.berkeley.edu/blog/2017/…
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Humans just saw a *new* color—literally outside the known visual spectrum.
BAIR faculty and visual computing expert Ren Ng and collaborators made it possible with the Oz Vision System. 🌈👁️
Newly published in @ScienceAdvances: science.org/doi/10.1126/scia…
popsci.com/health/new-color-…
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Congratulations to BAIR researchers @kevin_zakka @qiayuanliao @arthurallshire @carlo_sferrazza @KoushilSreenath @pabbeel and Google collaborators for winning the Outstanding Demo Paper Award at RSS 2025!
playground.mujoco.org
We’re super thrilled to have received the Outstanding Demo Paper Award for MuJoCo Playground at RSS 2025!
Huge thanks to everyone who came by our booth and participated, asked questions, and made the demo so much fun!
@carlo_sferrazza @qiayuanliao @arthurallshire
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Check out this awesome project that BAIR student Greg Kahn (people.eecs.berkeley.edu/~gr…) worked on at @SkydioHQ on training an autonomous deep neural network pilot to film while avoiding obstacles!
Skydio has completely reinvented the way drones fly, track subjects and avoid obstacles, but how did we get here? With lots of hard work and effort from the Skydio engineering team, that's how! Learn more about the engineering process in this week's Skydio Autonomy blog post.
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New position paper from BAIR faculty Professor Michael I. Jordan: "A Collectivist, Economic Perspective on AI"
arxiv.org/abs/2507.06268
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Want to train your simulated characters to perform acrobatics and martial arts? Check out the new BAIR blog post from @jasonpeng0 to learn how to combine deep RL with motion simulation from computer graphics! bair.berkeley.edu/blog/2018/…
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Curiosity provides an intrinsic reward function that generalizes across game levels! Check out this collaboration between BAIR and @OpenAI for an in-depth study of curiosity-driven learning on 54 environments, including Atari & Super Mario. 👾
We have released our paper on large-scale curiosity-driven learning. Our purely curious agents learn to play games, "walk", form rallies against each other across 54 benchmark environments without using any *external rewards*!
In collaboration with @OpenAI
pathak22.github.io/large-sca…
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If you're interested in the intersection of artificial intelligence and humanitarian assistance & disaster response (#HADR), please consider attending or submitting to the workshop on AI+HADR at #NeurIPS2019! hadr.ai
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Tomorrow at 12 PM PT, the Berkeley AI lecture series continues. @svlevine will present "Reinforcement Learning with Large Datasets: A Path to Resourceful Autonomous Agents." Tune in live: piped.video/user/citrisuc/li…
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Interested in semi-autonomous robots and human-machine centaur teams? Read @elbowproxy’s new BAIR blog post on augmenting human control with deep reinforcement learning for flexible human-robot shared autonomy!
bair.berkeley.edu/blog/2018/…
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Congratulations to BAIR Faculty @sewon__min who has been awarded the 1st ACL Computational Linguistics Doctoral Dissertation Award for the dissertation: Rethinking Data Use in Large Language Models!
The Winner of the 1st ACL Computational Linguistics Doctoral Dissertation Award is
🏆 Sewon Min with Rethinking Data Use in Large Language Models.
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Hearty congratulations to BAIR students, faculty and alumni for their many awards at #ICRA2024 this week in Japan
BAIR alumni @pulkitology @LerrelPinto @RCalandra won Early Career awards; students from @svlevine @Ken_Goldberg @JitendraMalikCV labs won both Best Paper awards!
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Exclusive sneak-peak into the life of ChatGPT architect and @Berkeley_EECS alum @johnschulman2, check out the interview here: news.berkeley.edu/2023/04/20…
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The BAIR REU is back! @Berkeley_AI is currently recruiting undergraduates from HBCUs and PBIs for a hands-on summer 2022 research experience in artificial intelligence. More details about eligibility and support at bair.berkeley.edu/reu.html
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Huge congratulations to the amazing @berkeley_ai PhD Class of 2023!! 🎉🍾 We will miss you and can't wait to see what you all accomplish!
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Greetings from the People's Republic of Berkeley! This account will share the latest news & papers from the Berkeley AI Research Lab.
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Recent BAIR alums @ajayj_ and @parasjain are pushing the frontiers of generative diffusion models, with foundational research origins at @UCBerkeley
Generative video models are rapidly improving in quality. Meet Replay, a new AI model that can generate stunning videos from text.
Replay v0.1 is designed to create ultrasmooth HD videos with a new interface. Available today for everyone.
What's New?
1. Replay understands plain English prompts without prompt engineering. Try "rugged surfer" or "mermaid".
2. What's a movie without actors? Replay can crisply render close-ups of people and animals.
3. Free and fast generation from our homepage with no waiting list (link in bio).
Behind the scenes, Replay is powered by aligning our new diffusion model for videos with the LLM behind Genmo Chat.
We’re so excited to see what you create! Share your creations below👇
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BAIR faculty member Alexandre Bayen and BAIR Ph.D. student Pulkit Agrawal developed a computer vision-based system to improve medical care of people with Alzheimer’s news.berkeley.edu/story_jump…
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New BAIR blog post! "Model-based Reinforcement Learning with Neural Network Dynamics" by Anusha Nagabandi & Gregory Kahn bair.berkeley.edu/blog/2017/…
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Check out this article by @QuantaMagazine on Alyosha Efros' pioneering work
quantamagazine.org/the-compu…
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Congratulations to BAIR faculty @svlevine and BAIR alumni @chelseabfinn , @ta_broderick , @mohitban47 , and @DorsaSadigh who have been awarded the Presidential Early Career Award for Scientists and Engineers (PECASE)!
whitehouse.gov/ostp/news-upd…
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Check out the new BAIR blog post on AdaSearch, a new algorithm for adaptive sensing problems! AdaSearch shortens expensive data collection processes in spatial data acquisition problems like radioactive source-seeking via a successive elimination strategy.
bair.berkeley.edu/blog/2018/…
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New blog post: "learning
a multi-view stereo machine" by Abhishek Kar bair.berkeley.edu/blog/2017/…
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Congratulations to BAIR alumni grad student @pathak2206 and alumni postdocs @andrewhowens @LerrelPinto @xiaolonw who have been awarded Sloan Research Fellowships!
sloan.org/fellowships/2025-f…
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Registration is now open for an exciting workshop organized by @ask1729 and @jlistgarten at the @SimonsInstitute June 10th-14th in Berkeley, AI≡Science: Strengthening the Bond Between the Sciences and Artificial Intelligence. simons.berkeley.edu/workshop…
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Hearty congratulations to @Ken_Goldberg @yahavigal on winning the Best Paper Award @2022Iros for their laundry-folding robot!
Coverage from NPR: npr.org/2022/10/22/113055223…
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We’re excited to announce the Berkeley AI Research Climate Initiative! The BCI aims to foster the development of fundamental AI research through directly working on impactful problems related to the most pressing issue of our time: climate change.
data.berkeley.edu/news/new-u…
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New Blog Post:
Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment bair.berkeley.edu/blog/2025/…
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Congratulations to Professor Michael Jordan - in the past few months, he was elected as a Foreign Member of the @royalsociety, selected for the Vannevar Bush Faculty Fellowship by the @DeptofDefense, and awarded the 2021 Ulf Grenander Prize by the @amermathsoc ! WOW!
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Along the way, the authors show that a deep fully-connected net can be squashed into a shallow one with a special activation function! You can find the full paper at arxiv.org/abs/2106.03186.
@DeWeeseLab
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Congratulations to @Berkeley_EECS PhD @Astro_Woody on joining the @SpaceX Crew-6 mission as pilot! Woody completed his PhD with @pabbeel in 2013 and has been a @NASA astronaut since 2017.
engineering.berkeley.edu/new…
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Join us next Tuesday 12-1 PM (in-person + livestreamed) for a special panel on The Past and Future of Robotics and Machine Intelligence! Hear from 250+ years of combined experience w/ Ruzena Bacjsy, @rodneyabrooks, @Ken_Goldberg, @JitendraMalikCV, Shankar Sastry, Claire Tomlin.
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If you're at #CVPR18, there's a workshop tomorrow (06/22) organized by Berkeley, Stanford, and MIT on "Beyond Supervised Learning" with a great lineup of speakers! Ballroom G beyond-supervised.ai/ #perception #unsupervisedlearning #selfsupervisedlearning #transferlearning
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Sayan Gul (Berkeley undergrad in EECS/CogSci '18) died this summer of a heart attack en route to #cogsci2018. His friends, family & colleagues are raising funds to start a travel award in his name in support of undergraduate research in cognitive science.
gofundme.com/travel-fund-in-…
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Read about kernel feature selection by conditional covariance minimization from Jianbo Chen and Mitchell Stern on the BAIR Blog! bair.berkeley.edu/blog/2018/…
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The latest Dex-Net work from @ken_goldberg's lab landed on the cover of the newest issue of @SciRobotics!
Quick picks: Watch as this #ambidextrous #robot efficiently grasps objects from piles, using training programs from @UCBerkeley scientists: bit.ly/2RrNAo4
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Join us in an exciting series of distinguished lectures on The Status and Future of AI featuring @AlisonGopnik @ancadianadragan @timnitGebru and Jaron Lanier.
Register for attending in-person @UCBerkeley or online!
citris-uc.org/news-events/ci…
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The latest BAIR blog post from Tijana Zrnic discusses the reproducibility crisis in science and proposes a method for online false discovery rate (FDR) control, aiding reproducibility in large-scale statistical testing!
bair.berkeley.edu/blog/2019/…
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Work from BAIR researchers at RAIL lab led by @svlevine.
UC Berkeley researchers devised a fast and precise way to teach robots tasks like assembling a motherboard or an IKEA drawer. 🤖news.berkeley.edu/2025/01/28…
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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! bair.berkeley.edu/blog/2019/…
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The Gorilla has been released into the wild... 🦍
gorilla.cs.berkeley.edu/
📢 Excited to release Gorilla🦍 Gorilla picks from 1000s of APIs to complete user tasks, surpassing even GPT-4! LLMs need to interact with the world through APIs, and Gorilla teaches LLMs APIs. Presenting Gorilla-Spotlight demo🤩
Webpage: gorilla.cs.berkeley.edu/
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Two BAIR blog posts in one week! 📈 New post today on robot fleet learning by @ryan_hoque :
bair.berkeley.edu/blog/2023/…
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Congratulations to @berkeley_ai professor Claire Tomlin on her election to the @theNAEng for her contributions to safety-focused control of cyberphysical systems!
nae.edu/MediaRoom/20095/2033…
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There’s been a lot of buzz about #ChatGPT on Twitter lately — the main architect behind the system is none other than @berkeley_ai alumni and OpenAI cofounder @johnschulman2! Hats off to John and the team!
Many might not know.
@johnschulman2 is the main person driving ChatGPT, and I would like to congratulate him and the team!
Worth to follow.
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Congratulations to BAIR alumni @andrea_bajcsy who has earned the National Science Foundation (NSF) Faculty Early Career Development (CAREER) award!
ri.cmu.edu/andrea-bajcsy-ear…
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BAIR faculty members join AI@TheHouse in bringing together academia, startups, industry, and education to build an ecosystem for AI, right in Berkeley! thehouse.build/ai/
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Congratulations to BAIR faculty member Michael I. Jordan for receiving an honorary doctorate from Yale!
Yale's honorary degrees signal pioneering achievement in a field; past recipients include Benjamin Franklin, Marie Curie, & Stephen Hawking.
yale2020.yale.edu/honorary-d…
#Yale2020 Honorary Degrees!
Jim Allison, Medicine
Jerome Alan Cohen, Laws
Christiana Figueres, Humane Letters
Renée Fleming, Music
Herbie Hancock, Music
Michael I. Jordan, Engineering
Ming Cho Lee, Arts
Svante Pääbo, Science
Paula Vogel, Letters
yale2020.yale.edu/honorary-d…
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Delayed outcomes should matter when evaluating "fair" decision-making procedures. Read the latest BAIR blog post on the delayed impact of fairness in machine learning to find out why! bair.berkeley.edu/blog/2018/…
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Congratulations to BAIR faculty member Michael I. Jordan who has been awarded the Frontiers of Knowledge Award in the Information and Communication Technologies category "... for core contributions in Machine Learning that have pioneered the development of biometrics and artificial intelligence" !
frontiersofknowledgeawards-f…
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Congratulations to BAIR alumni Aviral Kumar (@aviral_kumar2 ) and Jun-Yan Zhu (@junyanz89 ) who have been named Samsung AI Researcher of the Year Awardees!
sait.samsung.co.kr/saithome/…
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