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mldcmu's profile picture. The top education and research institution in the 🌎 for #AI and #machinelearning | Research → http://blog.ml.cmu.edu | Learn more ↓

Machine Learning Dept. at Carnegie Mellon

@mldcmu

The top education and research institution in the 🌎 for #AI and #machinelearning | Research → http://blog.ml.cmu.edu | Learn more ↓

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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
risteski_a's profile picture.
Andrej Risteski
 @risteski_a
. 10. 7.

Neat framework to unify and understand consistency-like models by @nmboffi, @msalbergo and Eric Vanden-Eijnden !

nmboffi's profile picture. Assistant Professor @mldcmu & cmu mathematics. Building generative models for science, engineering, and AI. Previously @Harvard, @MIT, @GoogleAI, @NYU_Courant.
Nicholas Boffi
@nmboffi
. 10. 7.

Consistency models, CTMs, shortcut models, align your flow, mean flow... What's the connection, and how should you learn them in practice? We show they're all different sides of the same coin connected by one central object: the flow map. arxiv.org/abs/2505.18825 🧵(1/n)

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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
aran_nayebi's profile picture.
Aran Nayebi
@aran_nayebi
. 10. 6.

A nice application of our NeuroAI Turing Test! Check out @cogphilosopher's thread for more details on comparing brains to machines!

cogphilosopher's profile picture. Neuroscience postdoc @Stanford, previously philosophy of neuroscience PhD. Building large-scale brain models using deep learning.
Imran Thobani
@cogphilosopher
. 10. 6.

1/x Our new method, the Inter-Animal Transform Class (IATC), is a principled way to compare neural network models to the brain. It's the first to ensure both accurate brain activity predictions and specific identification of neural mechanisms. Preprint: arxiv.org/abs/2510.02523

cogphilosopher's tweet image. 1/x Our new method, the Inter-Animal Transform Class (IATC), is a principled way to compare neural network models to the brain. It's the first to ensure both accurate brain activity predictions and specific identification of neural mechanisms. Preprint: arxiv.org/abs/2510.02523
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
LisaYishu's profile picture.
Yishu Li
@LisaYishu
. 9. 18.

A closed door looks the same whether it pushes or pulls. Two identical-looking boxes might have different center of mass. How should robots act when a single visual observation isn't enough? Introducing HAVE 🤖, our method that reasons about past interactions online! #CORL2025

LisaYishu's tweet image. A closed door looks the same whether it pushes or pulls. Two identical-looking boxes might have different center of mass. How should robots act when a single visual observation isn't enough? Introducing HAVE 🤖, our method that reasons about past interactions online! #CORL2025
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
aran_nayebi's profile picture.
Aran Nayebi
@aran_nayebi
. 9. 29.

Recent discussions (e.g. @RichardSSutton on @dwarkesh_sp’s podcast) have highlighted why animals are a better target for intelligence — and why scaling alone isn’t enough. In my recent @CMU_Robotics seminar talk, “Using Embodied Agents to Reverse-Engineer Natural Intelligence”,…

aran_nayebi's tweet image. Recent discussions (e.g. @RichardSSutton on @dwarkesh_sp’s podcast) have highlighted why animals are a better target for intelligence — and why scaling alone isn’t enough. In my recent @CMU_Robotics seminar talk, “Using Embodied Agents to Reverse-Engineer Natural Intelligence”,…
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
SCSatCMU's profile picture.
CMU School of Computer Science
 @SCSatCMU
. 8. 11.

CMU hacking team the Plaid Parliament of Pwning pwns again, wins fourth straight and record ninth overall DEF CON Capture-the-Flag title cylab.cmu.edu/news/2025/08/1…

SCSatCMU's tweet card. The winningest team in DEF CON’s Capture-the-Flag (CTF) competition history, Carnegie Mellon University’s Plaid Parliament of Pwning (PPP), won its third consecutive title, earning its eighth victory...
Carnegie Mellon’s hacking team wins fourth straight, record ninth overall DEF CON Capture-the-Flag...
출처: cylab.cmu.edu
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
Tim_Dettmers's profile picture.
Tim Dettmers
@Tim_Dettmers
. 8. 1.

Thank you @google for the ML and Systems Junior Faculty Award! This award is for work on sparsity, and I am excited to continue this work focusing on mixture of experts. We might bring big MoEs to small GPUs quite soon! Stay tuned! Read more here: cs.cmu.edu/news/2025/dett…

Tim_Dettmers's tweet card. SCS faculty member Tim Dettmers has received an inaugural Google ML and Systems Junior Faculty Award.
Dettmers Receives Google ML and Systems Junior Faculty Award
출처: cs.cmu.edu
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
AISecurityInst's profile picture.
AI Security Institute
 @AISecurityInst
. 7. 30.

📢Introducing the Alignment Project: A new fund for research on urgent challenges in AI alignment and control, backed by over £15 million. ▶️ Up to £1 million per project ▶️ Compute access, venture capital investment, and expert support Learn more and apply ⬇️

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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
mlcmublog's profile picture.
ML@CMU
 @mlcmublog
. 7. 8.

blog.ml.cmu.edu/2025/07/08/car… Check out our latest post on CMU @ ICML 2025!

mlcmublog's tweet card. CMU researchers are presenting 127 papers at the Forty-Second International Conference on Machine Learning (ICML 2025), held from July 13th-19th at the Vancouver Convention Center. Here is a quick...
Carnegie Mellon University at ICML 2025
출처: blog.ml.cmu.edu
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
Pershing's profile picture.
BNY Pershing
@Pershing
. 6. 20.

.@BNYglobal’s Leigh-Ann Russell and @CarnegieMellon’s Zico Kolter took the #realinsite mainstage for an exciting conversation on the future of #AI in wealth management. The key to successful integration? It's all about systems that 🤖 react, 🧠 think and 🔗 interact.

Pershing's tweet image. .@BNYglobal’s Leigh-Ann Russell and @CarnegieMellon’s Zico Kolter took the #realinsite mainstage for an exciting conversation on the future of #AI in wealth management. The key to successful integration? It's all about systems that 🤖 react, 🧠 think and 🔗 interact.
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
JacobYeung's profile picture.
Jacob Yeung
 @JacobYeung
. 6. 12.

1/6 🚀 Excited to share that BrainNRDS has been accepted as an oral at #CVPR2025! We decode motion from fMRI activity and use it to generate realistic reconstructions of videos people watched, outperforming strong existing baselines like MindVideo and Stable Video Diffusion.🧠🎥

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aran_nayebi's profile picture.
Aran Nayebi
@aran_nayebi
. 6. 5.

Our first NeuroAgent! 🐟🧠 Excited to share new work led by the talented @rdkeller, showing how autonomous behavior and whole-brain dynamics emerge naturally from intrinsic curiosity grounded in world models and memory. Some highlights: - Developed a novel intrinsic drive…

rdkeller's profile picture. CS+Neuro @CarnegieMellon. PhD Student with @xaqlab and @aran_nayebi. Connecting unsupervised reinforcement learning and neuroscience.
Reece Keller
 @rdkeller
. 6. 5.

1/ I'm excited to share recent results from my first collaboration with the amazing @aran_nayebi and @Leokoz8! We show how autonomous behavior and whole-brain dynamics emerge in embodied agents with intrinsic motivation driven by world models.

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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
SCSatCMU's profile picture.
CMU School of Computer Science
 @SCSatCMU
. 6. 8.

Virginia Smith, the Leonardo Associate Professor of Machine Learning, has received the Air Force Office of Scientific Research 2025 Young Investigator award. cs.cmu.edu/news/2025/smit…

SCSatCMU's tweet card. Virginia Smith, the Leonardo Associate Professor of Machine Learning, has received the Air Force Office of Scientific Research 2025 Young Investigator award.
Smith Earns AFOSR Young Investigator Award
출처: cs.cmu.edu
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aran_nayebi's profile picture.
Aran Nayebi
@aran_nayebi
. 5. 27.

Check out our new work exploring how to make robots sense touch more like our brains! Surprisingly, ConvRNNs aligned best with mouse somatosensory cortex and even passed the NeuroAI Turing Test on current neural data. We also developed new tactile-specific augmentations for…

Milotrince's profile picture. working on tactile perception for robots 🦾 MS @CMU_Robotics, BS @Berkeley_EECS
Trinity Chung
 @Milotrince
. 5. 27.

1/ What if we make robots that process touch the way our brains do? We found that Convolutional Recurrent Neural Networks (ConvRNNs) pass the NeuroAI Turing Test in currently available mouse somatosensory cortex data. New paper by @AlexShenSyc @NathanKong @aran_nayebi and me!

Milotrince's tweet image. 1/ What if we make robots that process touch the way our brains do? We found that Convolutional Recurrent Neural Networks (ConvRNNs) pass the NeuroAI Turing Test in currently available mouse somatosensory cortex data. New paper by @AlexShenSyc @NathanKong @aran_nayebi and me!
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
tqchenml's profile picture.
Tianqi Chen
@tqchenml
. 4. 17.

Really thrilled to receive #NVIDIADGX B200 from @nvidia . Looking forward to cooking with the beast. Together with an amazing team at CMU Catalyst group @BeidiChen @Tim_Dettmers @JiaZhihao @zicokolter, We are looking at the innovate across entire stack from model to instructions

SCSatCMU's profile picture. The School of Computer Science at @carnegiemellon is one of the world's premier institutions for computer science research and education.
CMU School of Computer Science
 @SCSatCMU
. 4. 17.

Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.

SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
zicokolter's profile picture.
Zico Kolter
@zicokolter
. 4. 17.

Thanks @NVIDIADC for the DGX B200 machine for the CMU Catalyst group! I'm perhaps already a bit too enthralled by it in the photos...

SCSatCMU's profile picture. The School of Computer Science at @carnegiemellon is one of the world's premier institutions for computer science research and education.
CMU School of Computer Science
 @SCSatCMU
. 4. 17.

Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.

SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
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mldcmu's profile picture.
Machine Learning Dept. at Carnegie Mellon
 @mldcmu
. 4. 17.

Excited to see what the MLD Faculty and Students in the Catalyst Research Group will do with this brand new #NVIDIADGX B200. Many thanks to @NVIDIADC from all of us at #CMU! @zicokolter @tqchenml

SCSatCMU's profile picture. The School of Computer Science at @carnegiemellon is one of the world's premier institutions for computer science research and education.
CMU School of Computer Science
 @SCSatCMU
. 4. 17.

Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.

SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
SCSatCMU's tweet image. Huge thank you to @NVIDIADC for gifting a brand new #NVIDIADGX B200 to CMU’s Catalyst Research Group! This AI supercomputing system will afford Catalyst the ability to run and test their work on a world-class unified AI platform.
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
aran_nayebi's profile picture.
Aran Nayebi
@aran_nayebi
. 4. 9.

As a long-time fan of @pgmid's "Brain Inspired" podcast, it was an honor to be invited on to talk about NeuroAgents, our update to the Turing Test, and AI safety at the end. Coincidentally recorded on my birthday, no less! Check it out here 👇

_TheTransmitter's profile picture. Dedicated to helping neuroscientists stay current and build connections. Subscribe to receive the latest news and perspectives on neuroscience: https://t.co/UUx8iyTIJW
The Transmitter
 @_TheTransmitter
. 4. 9.

In this “Brain Inspired” episode, @aran_nayebi joins @pgmid to discuss his reverse-engineering approach to build autonomous artificial-intelligence agents. thetransmitter.org/brain-inspired…

_TheTransmitter's tweet card. And he highlights the need to match neural representations across machines and organisms to build better autonomous agents.
Aran Nayebi discusses a NeuroAI update to the Turing test
출처: thetransmitter.org
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
aran_nayebi's profile picture.
Aran Nayebi
@aran_nayebi
. 2. 25.

1/ 🧵👇 What should count as a good model of intelligence? AI is advancing rapidly, but how do we know if it captures intelligence in a scientifically meaningful way? We propose the *NeuroAI Turing Test*—a benchmark that evaluates models based on both behavior and internal…

aran_nayebi's tweet image. 1/ 🧵👇 What should count as a good model of intelligence? AI is advancing rapidly, but how do we know if it captures intelligence in a scientifically meaningful way? We propose the *NeuroAI Turing Test*—a benchmark that evaluates models based on both behavior and internal…
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
LiaoIsaac91893's profile picture.
Isaac Liao
 @LiaoIsaac91893
. 3. 4.

Introducing *ARC‑AGI Without Pretraining* – ❌ No pretraining. ❌ No datasets. Just pure inference-time gradient descent on the target ARC-AGI puzzle itself, solving 20% of the evaluation set. 🧵 1/4

LiaoIsaac91893's tweet image. Introducing *ARC‑AGI Without Pretraining* – ❌ No pretraining. ❌ No datasets. Just pure inference-time gradient descent on the target ARC-AGI puzzle itself, solving 20% of the evaluation set. 🧵 1/4
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Machine Learning Dept. at Carnegie Mellon 님이 재게시함
SongDeying's profile picture.
Deying Song
 @SongDeying
. 11. 11.

I’m happy to share that my rotation project was accepted by Journal of Computational Neuroscience. Thanks, my rotation advisor Dr. Bard Ermentrout and my collaborator Dr. Daniel Chung. link.springer.com/article/10.100…

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Jianing9810's profile picture. Postdoctoral fellow @VITAGroupUT @UTAustin | CS Ph.D. @tmlrgroup HKBU | Visiting @mldcmu & Intern @RIKEN_AIP | Trustworthy ML & Responsible AI for Social Goods

Jianing Zhu

@Jianing9810
RaMonchi64's profile picture. Con esperanzas de aprender algo mas sobre programación, inteligencia artificial, ciberseguridad y sobre todo por el bendito chisme

Ramón Andrés Sánchez Acosta

@RaMonchi64
weihanzhang0427's profile picture. Interested in causal inference and semiparametric efficiency theory. Biostatistics M.A. student @UCBerkeleySPH. Alumni @PKU_SG. ガルパンおじさん。米国留学中。

Weihan Zhang ㌠

@weihanzhang0427
PrashVas's profile picture. Diabetologist @DiabetesKings. #kingsDFC Keen on #diabetesfoot, diabetic neuropathy, #neuropathic pain and #cardiovascular risk in diabetes. Personal Account.

Prash Vas

@PrashVas
Sourik24's profile picture. Making GPUs and CPUs go Brrrrr @ https://t.co/CXXbtt3IPU , GPU tinkerer, Compiler Fanatic, Code Slinger, Harry Potter and Star Trek Nerd, Full-Time LEGO Connoisseur

Sourik

@Sourik24
_justinku's profile picture.

Justin Ku

@_justinku
TheRecycledBean's profile picture.

Benny TheBassist

@TheRecycledBean
vishwalization's profile picture.

AK Vishwanathan

@vishwalization
roro_rohan's profile picture. VAGAbong 🇮🇳 🇯🇵 🇭🇰 🇹🇭 🇴🇲 🇦🇪 🏴󠁧󠁢󠁳󠁣󠁴󠁿 🇸🇪 🇳🇴 🇫🇮 🇩🇰 🇨🇭 🇳🇱 🏴󠁧󠁢󠁥󠁮󠁧󠁿 🇩🇪FR Interest in Politics , Value Investing , Travelling

Tales of a nomadic bong

@roro_rohan
PaulCorea11333's profile picture. Inspired by the life and words of Jesus ✝️ Sharing messages of peace 🕊️ compassion, and forgiveness 🙏 Let's grow together in faith! ✨

Paul Corea

@PaulCorea11333
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xd

@hello_xdd134
Cris_sc90's profile picture.

Cristina

@Cris_sc90
AvinashSin69491's profile picture.

Avinash Singh

@AvinashSin69491
eizowonderland's profile picture. □ Kobe City Wall Design Fair Excellence Award □ 19th Yomiuri Advertising Award Sponsor Award □ Fussa Tanabata Festival Character "Takke☆☆" Grand Prize others

EIZO TANAKA

@eizowonderland
zacharylipton's profile picture. Cofounder & CTO: @AbridgeHQ, Professor: CMU/@acmi_lab, Creator: @d2l_ai & https://t.co/QQt98VNLUp, Relapsing 🎷

Zachary Lipton

@zacharylipton
ericjang11's profile picture. AI at @1x_tech

Eric Jang

@ericjang11
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NeurIPS Conference

@NeurIPSConf
gneubig's profile picture. Associate professor @LTIatCMU. Co-founder/chief scientist @OpenHandsDev. I mostly work on modeling language.

Graham Neubig

@gneubig
andrewgwils's profile picture. Machine Learning Professor

Andrew Gordon Wilson

@andrewgwils
dkaushik96's profile picture. Emerging tech and national security. Now DC, always Pittsburgh.

Divyansh Kaushik

@dkaushik96
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Carnegie Mellon University

@CarnegieMellon
WilliamWangNLP's profile picture. CEO & Founder, @AlphaDesignAI. We make https://t.co/1LfDYicsF2 I'm also Mellichamp Chair Prof. at UCSB CS. PhD @ CMU SCS.

William Wang

@WilliamWangNLP
ericxing's profile picture. Researcher, educator, entrepreneur, and administrator in computer science, artificial intelligence, and healthcare.

Eric Xing

@ericxing
Tim_Dettmers's profile picture. Creator of bitsandbytes.Research Scientist @allen_ai and incoming professor @CarnegieMellon. I blog about deep learning and PhD life at https://t.co/Y78KDJJFE7.

Tim Dettmers

@Tim_Dettmers
srchvrs's profile picture. Machine learning scientist and engineer speaking πtorch & C++. Past @LTIatCMU, @awscloud. Opinions sampled from MY OWN 100T param LM.

Leo Boytsov

@srchvrs
deepcohen's profile picture. Research fellow at Flatiron Institute, working on understanding optimization in deep learning. Previously: PhD in machine learning at Carnegie Mellon.

Jeremy Cohen

@deepcohen
yisongyue's profile picture. Machine Learning @Caltech (@YueLabCaltech). AI for invention at @AsariAILabs.

Yisong Yue

@yisongyue
DhruvBatra_'s profile picture. Co-founder & Chief Scientist @yutori_ai. Prev: Senior Director leading FAIR Embodied AI @MetaAI and Professor @GeorgiaTech.

Dhruv Batra

@DhruvBatra_
allen_ai's profile picture. Breakthrough AI to solve the world's biggest problems. › Join us: https://t.co/MjUpZpKPXJ › Newsletter: https://t.co/k9gGznstwj

Ai2

@allen_ai
zhilifeng's profile picture. Research @OpenAI | prev: ML PhD @mldcmu | Research intern: @MSRNE, @Amazon, @BoschGlobal

Zhili Feng

@zhilifeng
SongDeying's profile picture. PhD candidate in computational neuroscience in Huang Lab @cc_huang11 joint program in NC/ML @CarnegieMellon Undergrad in Integrated Science @PKU1898

Deying Song

@SongDeying
aran_nayebi's profile picture. Asst Prof @CarnegieMellon Machine Learning (@mldcmu @SCSatCMU) | @BWFUND CASI Fellow | Building a Natural Science of Intelligence 🧠🤖 | Prev: @MIT, @Stanford

Aran Nayebi

@aran_nayebi
cmu_iris's profile picture. The FIRST American-, university-, nano- lunar mobile robot scheduled to land on the Moon in 2023! 🌙 Made @CarnegieMellon ✨ #TeamSpace 💫 https://t.co/M1aL6WxrH2

Iris Lunar RoverSat (Carnegie Mellon University)

@cmu_iris
_albertgu's profile picture. assistant prof @mldcmu. chief scientist @cartesia_ai. leading the ssm revolution.

Albert Gu

@_albertgu
siebelschool's profile picture. Leading global engineering at The Grainger College of Engineering at the University of Illinois Urbana-Champaign.

Siebel School of Computing and Data Science

@siebelschool
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Milind Tambe (moving @milindtambe-ai.bsky.social)

@MilindTambe_AI
gainey_ed's profile picture. Mayor of the City of @Pittsburgh. Building CommUnity Every Day. Enjoying what I have been given. He/Him

Ed Gainey

@gainey_ed
ben_eysenbach's profile picture. Prof @ Princeton CS working on AI/ML/RL. 🦋@ https://t.co/hz4KZsv5iO

Ben Eysenbach

@ben_eysenbach
brwilder's profile picture. Assistant Professor @mldcmu | ML + optimization + public health

Bryan Wilder

@brwilder
PghArchives's profile picture. Records Management Division of the Office of the City Clerk, City of Pittsburgh. For research inquiries contact us at archives@pittsburghpa.gov

Pittsburgh City Archives

@PghArchives
OddPittsburgh's profile picture. This page is dedicated to exploring all of the unusual, mysterious & forgotten history of Pittsburgh lost to time. John Schalcosky - Founder

🅾🅳🅳🅿🅸🆃🆃🆂🅱🆄🆁🅶🅷

@OddPittsburgh
geoffreyhinton's profile picture. deep learning

Geoffrey Hinton

@geoffreyhinton
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AFOSR

@AFOSR
valeriechen_'s profile picture. on the academic job market | phd student @mldcmu @SCSatCMU + intern @OpenHandsDev

Valerie Chen

@valeriechen_
dylanjsam's profile picture. phd student @mldcmu | past: student researcher @GoogleAI, intern @GraySwanAI @AmazonScience, undergrad @BrownUniversity

Dylan Sam

@dylanjsam
lpmorency's profile picture. Associate Professor at CMU studying multimodal and Social AI. Ice hockey goalie.

LP Morency

@lpmorency
YuLikeNeuro's profile picture. Yu Group at Carnegie Mellon University. Neuroscience, brain-computer interfaces, machine learning

Byron Yu

@YuLikeNeuro
fish_tung's profile picture. Postdoc @MITCoCoSci + @NeuroAILab, ML PhD @CarnegieMellon @mldcmu AI builder

Hsiao-Yu Fish Tung

@fish_tung
AmandaCoston's profile picture. Assistant professor at UC Berkeley in the Department of Statistics

Amanda Coston

@AmandaCoston
niljanaakpinar's profile picture. Responsible AI Postdoc @AWS ｜PhD from @CMU_Stats and @mldcmu｜she/her

Nil-Jana Akpinar

@niljanaakpinar
ashwini1024's profile picture. Researcher at Google | interested in diffusion models, flows etc.

Ashwini Pokle

@ashwini1024
QueerinAI's profile picture. Our mission is to raise awareness of queer issues in AI, foster a community of queer researchers and celebrate the work of queer scientists. See pinned tweet.

QueerInAI

@QueerinAI
davheld's profile picture. Associate Professor at Carnegie Mellon University | he/him

David Held

@davheld
ML4Dworkshop's profile picture. Machine Learning for the Developing World (ML4D). NeurIPS 2021 Workshop. 🗓️December 14th, 2021

ML4D

@ML4Dworkshop
khudabukhsh's profile picture. Assistant Professor at Rochester Institute of Technology (RIT), Computer Science Researcher, Poet, Composer, Lyricist.

Ashique Khudabukhsh

@khudabukhsh
joon_s_kim's profile picture. PhD student in Machine Learning @mldcmu

Joon Kim

@joon_s_kim
ElanRosenfeld's profile picture. Researcher @GoogleAI, PhD @CarnegieMellon

Elan Rosenfeld

@ElanRosenfeld
jackyliang42's profile picture. Research Scientist @GoogleDeepMind working on foundation models for robotics. PhD @CMU_Robotics @iamlab_cmu

Jacky Liang

@jackyliang42
peter_yh_wu's profile picture. @berkeley_ai / @SCSatCMU (he/him)

Peter Wu

@peter_yh_wu
_Yuchen_Li_'s profile picture. PhD Student in Machine Learning at Carnegie Mellon University @mldcmu @SCSatCMU. Intern @GoogleAI. Previously @Quora, @Illinois_Alma. Math of deep learning, LMs

Yuchen Li

@_Yuchen_Li_
cmu_oursd's profile picture. The folks to talk to if you are a Tartan interested in #undergraduateresearch or natl/intl #fellowships & #scholarships. Members of @NAFAdvisors & @CURinAction.

CMU Undergraduate Research & Scholar Development

@cmu_oursd
ClimateChangeAI's profile picture. Tackling climate change with machine learning. We facilitate cooperation and provide resources for those working in this area. RT is not endorsement.

Climate Change AI

@ClimateChangeAI
edwardhkennedy's profile picture. assoc prof of statistics & data science @CMU_Stats @CarnegieMellon. interested in causality, machine learning, nonparametrics, criminal justice, public policy

Edward Kennedy

@edwardhkennedy
AmazonScience's profile picture. The latest news and research from Amazon's science community. #AmazonScience

Amazon Science

@AmazonScience
CMUDelphi's profile picture. Carnegie Mellon University-based team of researchers developing signals and methods for epidemiological nowcasting and forecasting.

CMU Delphi

@CMUDelphi
aman_madaan's profile picture. @xAI

Aman Madaan

@aman_madaan
steph_milani's profile picture. Asst Prof/Faculty Fellow @NYU_Courant, then Assistant Professor @JHUCompSci. Human-centered reinforcement learning & AI agents

Stephanie Milani

@steph_milani
Xingyu2017's profile picture. Robot learning @openai. Previously @berkeley_ai @SCSatCMU. #Learning #Robotics

Xingyu Lin

@Xingyu2017
AutonLab's profile picture. Founded by @awmcmu, Auton Lab, @SCSatCMU is currently lead by Artur Dubrawski & Jeff Schneider. We are interested in all dimensions of Machine Learning and AI.

Auton Lab, Carnegie Mellon

@AutonLab
saurabh_garg67's profile picture. @thinkymachines | prev/ Researcher @MistralAI; PhD @mldcmu; CS @iitbombay (undergrad); Collab @GoogleAI @awscloud @apple

Saurabh Garg

@saurabh_garg67
__tm__157's profile picture. Using AI to Accelerate Scientific Discovery @ Polymathic AI and Simons Foundation | PhD from MLD @ CMU

Tanya Marwah

@__tm__157
mlcmublog's profile picture. Official twitter account for the ML@CMU blog @mldcmu @SCSatCMU

ML@CMU

@mlcmublog
acmi_lab's profile picture. The Approximately Correct Machine Intelligence (ACMI) Lab at @mldcmu at @SCSatCMU. Growing the ML sandbox to address more of the real world. PI @zacharylipton

ACMI Lab (CMU)

@acmi_lab
IEEEorg's profile picture. IEEE is the world’s largest technical professional organization and is a public charity dedicated to advancing technology for humanity. https://t.co/4lZf7Fh9xh

IEEE

@IEEEorg
CalvinMccarter's profile picture. AI + bio | Views not always my own, but never more than my own | Occasional notes: https://t.co/L1Fgejca1H | Feedback: https://t.co/uooUlZyRdE

Calvin McCarter

@CalvinMccarter
Bosch_AI's profile picture. Shaping the future of #IndustrialAI | developing innovative #AItechnologies + solutions for Bosch Imprint/Data Protection Policy: https://t.co/e27jQvM9i4

Bosch Center for Artificial Intelligence

@Bosch_AI
JosueOr35703707's profile picture. PhD candidate in Neural Computation and Machine Learning, Carnegie Mellon University

Josue Orellana

@JosueOr35703707

United States 트렌드

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