Berkeley AI Research(@berkeley_ai)

Congratulations to @berkeley_ai faculty @irenetrampoline and @berkeley_ai alumni @BachFrancis @andre...

Berkeley AI Research (@berkeley_ai) — Tue, 06 Oct 2026 01:29:46 GMT

Congratulations to @berkeley_ai faculty @irenetrampoline and @berkeley_ai alumni @BachFrancis@andrea_bajcsy@dan_fried@natolambert Juan Carlos Perdomo who have been named @schmidtsciences 2026 AI2050 Early Career Fellows.

eecs.berkeley.edu/news/irene-che…?

💬2🔄4❤️54👀11386📊8

⚡ Powered by xgo.ing

Congratulations to the @berkeley_ai Center for Humanoid Intelligence team members who placed 1st at ...

Berkeley AI Research (@berkeley_ai) — Sat, 03 Oct 2026 06:07:35 GMT

Congratulations to the @berkeley_ai Center for Humanoid Intelligence team members who placed 1st at the two tracks in the Robotic Collaborative Assembly Challenge at #IROS2026!

Wei ZHAN@Wei_ZHAN_

Proud of my team members who won the 1st place of two tracks in the RoCo Challenge at #IROS2026 in Pittsburgh!

Robotic Collaborative Assembly Challenge (rocochallenge.github.io/RoCo-IROS2026/) includes challenging tasks like industrial board and brick assembly on bimanual and tactile-aware setups with 55 registered teams from 8+ countries.

In addition to days of hard work via onsite hackathon, the winning point also resides in our recent work at BAIR Center for Humanoid Intelligence (HIC) leveraging simulation, which will be released in the future.

Kudos to the team Jinzhong Gu, Max Wang, @FanXu22, Xingjian Wang, @MutianShen, @jiakai_chen3, Xinyi Cao, Jingdong Zhou, Chenrui Tie, Haoran Lu, Shuo Yin, from @berkeley_ai  and MSC Lab at UC Berkeley, with nice guidance from @warshallrho and Masayoshi Tomizuka!

Kudos to the team Jinzhong Gu, Max Wang, @, Xingjian Wang, e organizers @RuixuanLiu_, Haichao Liu, @ZiweiWangNTU and @ChangliuL!@

🔗 View Quoted Tweet

💬8🔄3❤️57👀13134📊11

⚡ Powered by xgo.ing

The project website includes additional real-robot demonstrations, world-model predictions, tactile ...

Berkeley AI Research (@berkeley_ai) — Tue, 29 Sep 2026 19:12:35 GMT

The project website includes additional real-robot demonstrations, world-model predictions, tactile visualizations, ablations, and detailed explanations.

🌐dextacwam.github.ioz

Your browser does not support the video tag.

🔗 View on Twitter

💬1🔄0❤️1👀1686📊1

⚡ Powered by xgo.ing

How do we scale tactile world modeling across ten fingertips? A finger- and pose-aware tactile comp...

Berkeley AI Research (@berkeley_ai) — Tue, 29 Sep 2026 19:12:34 GMT

How do we scale tactile world modeling across ten fingertips?

A finger- and pose-aware tactile compressor maps:
10 fingertip streams → 2 hand-level latents
while retaining 89.4% of pre-fusion contact recall.

This enables 2.26× faster training and 1.29× faster inference.

💬1🔄0❤️2👀1841📊2

⚡ Powered by xgo.ing

Presenting research from @berkeley_ai Humanoid Intelligence Center. DexTacWAM: A Visuo-Tactile Worl...

Berkeley AI Research (@berkeley_ai) — Tue, 29 Sep 2026 19:12:30 GMT

Presenting research from @berkeley_ai Humanoid Intelligence Center.

DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation.🖐️🤖

Dexterous manipulation requires touch, yet multi-finger tactile data remain scarce and expensive to collect at scale.

Through continual vision-to-touch learning, DexTacWAM adapts a pretrained video world model into a visuo-tactile world model for predictive multi-finger contact modeling and action generation.

Across six contact-rich dexterous manipulation tasks, DexTacWAM achieves the highest score on every task, averaging 70.6 vs. 38.0 for the strongest baseline.

🔬 Why not simply inject tactile features into the action policy?

With the same multi-finger tactile encoder, policy architecture, and training procedure, replacing the tactile world-model latent with direct tactile features drops the 4-task mean from 74.7 to 26.6.

Takeaway: the benefit does not come simply from providing tactile observations to the policy, but from making multi-finger contact evolution part of the predicted world state.

All code, model weights, and datasets are now open-sourced!

🌐 Projedextacwam.github.ioCO4f
📄 Paarxiv.org/abs/2609.24976P1RYu
💻 github.com/dextacwam/DexT…UCB0fj
🤗 Weightshuggingface.co/collections/Je…kKWShNE

Author List: @Jensen_Yuan, @zekaiw04, @sbn_epiphany Haoran Lu, @trevordarrell, @Ismini_L, @Wei_ZHAN_

Your browser does not support the video tag.

🔗 View on Twitter

💬16🔄20❤️149👀110046📊48

⚡ Powered by xgo.ing

@berkeley_ai faculty Peter Bartlett is giving a plenary lecture at this year's International Congres...

Berkeley AI Research (@berkeley_ai) — Fri, 24 Jul 2026 01:09:14 GMT

@berkeley_ai faculty Peter Bartlett is giving a plenary lecture at this year's International Congress of Mathematicians #ICM2026 on July 28, 2026
11:30 AM-12:30 PM ET. 

His lecture "Modern Machine Learning Methods: Implicit Bias, Benign Overfitting, and Unstable Optimization"  is online here: epubs.siam.org/doi/10.1137/25…

💬2🔄3❤️27👀10559📊8

⚡ Powered by xgo.ing

We could not be prouder of this years BAIR PhD graduates! Follow their journey to see where they go ...

Berkeley AI Research (@berkeley_ai) — Wed, 01 Jul 2026 19:49:09 GMT

We could not be prouder of this years BAIR PhD graduates! Follow their journey to see where they go next @baifeng_shi@sea_snell@databoydg@enfleisig@graceluo_@zhuhl98@HaozhiQ@jdzamfi@LianJiachen@joshminwookang@junhaobearxiong@kaylolittlejohn@KentKChang@kvablack@KunheYang@lisabdunlap@LongTonyLian@maulik__bhatt@michaelpsenka@nathanlichtle@neerjathakkar@nikita_mehandru@NiklasLauffer@qiyang_li@vbenara05@vonekels@xiuyu_l@Yiheng_Li_Cal@ZheFu1 Sampada Deglurkar Wei-Jer Chang Yichen Xie Yigit Erginbas 

bair.berkeley.edu/blog/2026/07/0…

💬2🔄12❤️125👀26605📊19

⚡ Powered by xgo.ing

BAIR (@berkeley_ai ) Faculty Michael I. Jordan gave the Commencement Speech at this year's @Berkeley...

Berkeley AI Research (@berkeley_ai) — Thu, 25 Jun 2026 19:29:10 GMT

BAIR (@berkeley_ai ) Faculty Michael I. Jordan gave the Commencement Speech at this year's @BerkeleyCDSS graduation where he spoke on the theme "Human Connection in the Era of Internet Technology". 

youtube.com/watch?v=omEtpo…

💬4🔄2❤️18👀10287📊6

⚡ Powered by xgo.ing

Congratulations to @berkeley_ai alumnus @pathak2206 who has been awarded the PAMI Young Researcher i...

Berkeley AI Research (@berkeley_ai) — Thu, 11 Jun 2026 20:55:56 GMT

Congratulations to @berkeley_ai alumnus @pathak2206 who has been awarded the PAMI Young Researcher in Computer Vision Award!

This top award for young researchers in computer vision is given to two recipients yearly.

thecvf.com/?page_id=413#Y…

💬2🔄6❤️80👀11533📊12

⚡ Powered by xgo.ing

@pathak2206 is the seventh @berkeley_ai affiliated awardee in the last seven years. Other awardees i...

Berkeley AI Research (@berkeley_ai) — Thu, 11 Jun 2026 20:55:56 GMT

@pathak2206 is the seventh @berkeley_ai affiliated awardee in the last seven years. Other awardees include @akanazawa (2024), @judyfhoffman (2023),  @BharathHarihar3 (2022), @georgiagkioxari (2021), @phillip_isola (2021),  and @jon_barron (2020).

💬0🔄0❤️7👀3948📊1

⚡ Powered by xgo.ing

Congratulations to BAIR faculty @jlistgarten and @yun_s_song who have been elected to the Internatio...

Berkeley AI Research (@berkeley_ai) — Wed, 29 Apr 2026 15:45:00 GMT

Congratulations to BAIR faculty @jlistgarten and @yun_s_song who have been elected to the International Society for Computational Biology (@iscb) 2026 class of Fellows! 

iscb.org/about-iscb/soc…

💬1🔄0❤️6👀5668📊2

⚡ Powered by xgo.ing

Congratulations to BAIR faculty @doristsao who has been elected to the American Academy of Arts and ...

Berkeley AI Research (@berkeley_ai) — Wed, 29 Apr 2026 15:00:03 GMT

Congratulations to BAIR faculty @doristsao who has been elected to the American Academy of Arts and Sciences!

amacad.org/news/new-membe…

💬2🔄1❤️16👀4967📊4

⚡ Powered by xgo.ing

Congratulations to BAIR Faculty @matei_zaharia who has been awarded the 2025 ACM Prize in Computing ...

Berkeley AI Research (@berkeley_ai) — Thu, 09 Apr 2026 04:26:29 GMT

Congratulations to BAIR Faculty @matei_zaharia who has been awarded the 2025 ACM Prize in Computing "for his visionary development of distributed data systems and computing infrastructure, which has enabled large-scale machine learning, analytics, and AI at global scale." 

awards.acm.org/about/2025-acm…

💬2🔄3❤️23👀6663📊5

⚡ Powered by xgo.ing

Congratulations to BAIR Faculty @negar_mehr and BAIR alumni @pathak2206 @ebiyik_ @mark_ho_ who have ...

Berkeley AI Research (@berkeley_ai) — Mon, 23 Feb 2026 16:56:00 GMT

Congratulations to BAIR Faculty @negar_mehr and BAIR alumni @pathak2206@ebiyik_@mark_ho_ who have been awarded the 2026 ONR Young Investigator Award!

onr.navy.mil/2026-young-inv…

💬0🔄2❤️27👀7491📊4

⚡ Powered by xgo.ing

Congratulations to BAIR Faculty @Ken_Goldberg who has been elected to the National Academy of Engine...

Berkeley AI Research (@berkeley_ai) — Thu, 12 Feb 2026 01:05:48 GMT

Congratulations to BAIR Faculty @Ken_Goldberg who has been elected to the National Academy of Engineering (@theNAEng)!

nae.edu/345149/NAENewC…

💬0🔄4❤️24👀8571📊4

⚡ Powered by xgo.ing

Congratulations to BAIR Researchers from @trevordarrell lab whose paper "Hidden in plain sight: VLMs...

Berkeley AI Research (@berkeley_ai) — Fri, 10 Oct 2025 10:55:11 GMT

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

Conference on Language Modeling@COLM_conf

Outstanding paper 4🏆:
Hidden in plain sight: VLMs overlook their visual representationsopenreview.net/forum?id=qQb1J…s

🔗 View Quoted Tweet

💬4🔄13❤️135👀25575📊19

⚡ Powered by xgo.ing

Are you applying to grad school this fall? The Equal Access to Application Assistance (EAAA) pro...

Berkeley AI Research (@berkeley_ai) — Thu, 11 Sep 2025 06:43:15 GMT

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.edu/e…  for more information and send any questions to eaaa@berkeley.edu!

💬2🔄29❤️131👀32151📊41

⚡ Powered by xgo.ing

Hearty congratulations to BAIR students, faculty and alumni for their many awards at #ICRA2024 this ...

Berkeley AI Research (@berkeley_ai) — Fri, 17 May 2024 01:01:18 GMT

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!

💬2🔄9❤️61👀13690📊10

⚡ Powered by xgo.ing

#ShutDownSTEM Let's take the time to reflect, recover and react to systemic racism in our academic c...

Berkeley AI Research (@berkeley_ai) — Wed, 10 Jun 2020 18:36:32 GMT

#ShutDownSTEM Let's take the time to reflect, recover and react to systemic racism in our academic community.

💬3🔄5❤️16📊6

⚡ Powered by xgo.ing

"Explaining what Explainable AI Did Not": @lvinwan describes how to make models as accurate as neura...

Berkeley AI Research (@berkeley_ai) — Sat, 25 Apr 2020 23:22:27 GMT

"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/2020/04/2…#xai

💬2🔄42❤️127📊28

⚡ Powered by xgo.ing

Sample-efficient multitask deep RL, on real robots, directly from pixels! The key is to enable agent...

Berkeley AI Research (@berkeley_ai) — Thu, 06 Sep 2018 20:30:40 GMT

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!
https://t.co/k3MtQn0K7J

💬0🔄46❤️136📊25

⚡ Powered by xgo.ing

Should you plan ahead or learn by trial and error? Read @Vitchyr's BAIR blog post to see how tempora...

Berkeley AI Research (@berkeley_ai) — Thu, 26 Apr 2018 23:41:46 GMT

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/2018/04/2…

💬0🔄30❤️91📊16