MIT-IBM Watson AI Lab @MITIBMLab
A collaborative industrial-academic laboratory focused on advancing fundamental AI research. Associated with the @MIT_SCC. mitibmwatsonailab.mit.edu Cambridge, MA Joined February 2019-
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Researchers from MIT and @MITIBMLab have developed a tiny chip that can safeguard user data while enabling efficient computing on a smartphone. It provides a security solution for power-hungry AI models, offering protection against two common attacks. news.mit.edu/2024/tiny-chip…
When a human-AI conversation involves many rounds of dialogue, the powerful large language machine-learning models like ChatGPT sometimes start to collapse. A team of researchers from MIT and elsewhere has pinpointed a surprising cause of this problem. mitsha.re/KYxV50Rk5h5
Congratulations to MIT and @MITIBMLab researcher William Oliver and his colleagues for their election as fellows to the @aaas! news.mit.edu/2024/four-mit-…
Last-mile logistics is a tricky combinatorial optimization problem for operations research specialists. The @MITIBMLab's Matthias Winkenbach and his team are developing AI methods to make vehicle routing more efficient and adaptable for unexpected events. news.mit.edu/2024/matthias-…
We have a cool challenge on understanding document images in our 2nd #CVPR2024 workshop on “What is Next in Multimodal Foundation Models?”, (sites.google.com/view/2nd-mmfm-…). This is a great opportunity to showcase your work in front of a large audience (pic below from our 1st workshop)
A new technique teaches a large language model to perform a safety check on an AI chatbot so it doesn’t give toxic responses. “Our work is an attempt to reduce the human effort to ensure a safer and trustworthy AI future,” Pulkit Agrawal says. mitsha.re/46Jp50RcfRg
Ever asked yourself what's the best explainability method for ViT Transformer at the moment? 🚨 We present you LeGrad, a Layerwise Explainability GRADient method for large ViT transformer architectures. 🚨 So, grab your ☕️ and 🥐, release your inner 🇫🇷, and join us on our…
Tamara Broderick uses statistical approaches to understand and quantify uncertainty in data, which can affect study results. “The reality is that we live in a noisy world, and we can’t always get exactly the data that we want,” she says. mitsha.re/HXoG50QJVc4
Hey, we did a thing: "LAB: Large-scale Alignment for chatBots"—a new synthetic data-driven LLM alignment method that yields great results without using large-scale human or proprietary model data. arxiv.org/abs/2403.01081 models: huggingface.co/ibm/labradorit…, huggingface.co/ibm/merlinite-…
Congratulations to Dean Chandrakasan on being name MIT's inaugural chief innovation and strategy officer, in addition to his continued role as dean of engineering. news.mit.edu/2024/anantha-c…
MIT-IBM Watson AI Lab PhD interns look to improve natural language usage by investigating AI reasoning and reliability. news.mit.edu/2024/reasoning…
Generative AI meets physics-based simulation to create robots for physical tasks: bit.ly/48HZjml
Our team is currently looking to hire PhD candidates for 2024 summer internship, to work on efficient training and inference of large language (and/or multimodal) models. Please DM or send me an email if you are interested. @MITIBMLab @IBMResearch
Working with the @MITIBMLab, master's students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots. news.mit.edu/2023/leveragin…
A flexible solution to help artists improve animation: This new method draws on 200-year-old geometric foundations to give artists control over the appearance of animated characters. mitsha.re/AHkH50QkGxK
A customized onboarding process from the @MITIBMLab helps a human learn when a model’s advice is trustworthy, improving human-AI collaboration. news.mit.edu/2023/automated…
Over 2,000 years ago, the Greek mathematician Euclid, known as the father of geometry, changed how we think about shapes. Now Justin Solomon is applying modern geometric techniques to problems in computer vision, machine learning, and statistics. mitsha.re/Hw5h50QjaSw
⚡️Energy Transformer (ET)⚡️ A novel architecture combining 3 prominent ideas in AI 1️⃣ Transformers: mix tokens with attention 2️⃣ Energy-based Models: inference descends a tractable energy function 3️⃣ Associative Memory: inference performs error correction #NeurIPS2023 A 🧵:…
Benedetto Marelli develops silk-based technologies for helping crops grow, preserving perishable foods, and more. “Knowing that the technology can move the needle in crises such as food waste is the highest reward of all,” he says. mitsha.re/QJLm50Qf3oP
Now that the CVPR deadline has passed, it's a good time to share our new #EMNLP23 work. In this paper, we show one possible solution to the 'bag of objects' behavior of VL models' representations, which tend to ignore object attributes and relations. arxiv.org/abs/2305.06343
Hendrik Strobelt @hen_str
4K Followers 463 Following Visualization and Interactive Human Centered AI. Explainability lead @MITIBMLab, @VISxAI, OE Chair @NeurIPSConf, Chair @ieeevis -- own views. #NLProc #AIJonathan Frankle @jefrankle
16K Followers 684 Following Chief Scientist, Neural Networks @Databricks via MosaicML. PhD @MIT_CSAIL. BS/MS @PrincetonCS. DC area native. Making AI efficient for everyone at @DbrxMosaicAIKush Varshney कु�.. @krvarshney
3K Followers 613 Following I wrote a book. Free pdf: https://t.co/rFFL7mySnS Paperback: https://t.co/lF0IgC5T9z Tweets are my own and don't necessarily represent IBM.David Cox @neurobongo
13K Followers 2K Following VP, AI Models @IBMResearch, IBM Director, @MITIBMLab. Former prof and serial/parallel entrepreneur. Not really posting here anymore... see you on BlueskyJacob Andreas @jacobandreas
14K Followers 958 Following Teaching computers to read. Assoc. prof @MITEECS / @MIT_CSAIL (he/him). https://t.co/5kCnXHjtlY https://t.co/2A3qF5vdJwMIT Jameel Clinic for.. @AIHealthMIT
6K Followers 367 Following The epicenter of AI and health at MITSueYeon Chung @s_y_chung
5K Followers 1K Following Assistant Professor @NYU_CNS & @FlatironCCN. Computational Neuroscience, Neural Network Theory, Neural Manifolds, Statistical Physics of LearningKate Saenko @kate_saenko_
5K Followers 164 Following AI Researcher in dataset bias, vision & language models / FAIR / Professor at Boston University / NeurIPS 2023 co-PC / she/her/hersPin-Yu Chen @pinyuchenTW
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3K Followers 1K Following Assistant professor @AmlabUva @UvA_Amsterdam, previously @MITIBMLab , #causality #CausalRepresentationLearning #causalityInspiredML, 🇮🇹🇸🇮 in 🇳🇱Hilde Kuehne @HildeKuehne
3K Followers 763 Following Professor for CS at @UniBonn and affiliated Professor at MIT-IBM Watson AI lab @MITIBMLab - Multimodal learning and video understandingJustin Solomon @JustinMSolomon
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235K Followers 1K Following Inventing what's next in science and technology. 🌍🔬 Subscribe to our newsletter: https://t.co/kyfsvQN1DnMIT School of Humanit.. @MIT_SHASS
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112K Followers 35 Following New Orleans, Dec 10-16, 23. https://t.co/ga8aOw615g Tweets to this account are not monitored. Please send feedback to [email protected].Hendrik Strobelt @hen_str
4K Followers 463 Following Visualization and Interactive Human Centered AI. Explainability lead @MITIBMLab, @VISxAI, OE Chair @NeurIPSConf, Chair @ieeevis -- own views. #NLProc #AIJonathan Frankle @jefrankle
16K Followers 684 Following Chief Scientist, Neural Networks @Databricks via MosaicML. PhD @MIT_CSAIL. BS/MS @PrincetonCS. DC area native. Making AI efficient for everyone at @DbrxMosaicAIKush Varshney कु�.. @krvarshney
3K Followers 613 Following I wrote a book. Free pdf: https://t.co/rFFL7mySnS Paperback: https://t.co/lF0IgC5T9z Tweets are my own and don't necessarily represent IBM.David Cox @neurobongo
13K Followers 2K Following VP, AI Models @IBMResearch, IBM Director, @MITIBMLab. Former prof and serial/parallel entrepreneur. Not really posting here anymore... see you on BlueskyJacob Andreas @jacobandreas
14K Followers 958 Following Teaching computers to read. Assoc. prof @MITEECS / @MIT_CSAIL (he/him). https://t.co/5kCnXHjtlY https://t.co/2A3qF5vdJw#CVPR2024 @CVPR
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6K Followers 367 Following The epicenter of AI and health at MITMIT Media Lab @medialab
476K Followers 1K Following News from the MIT Media Lab. Explore all of the official MIT social media accounts at https://t.co/VBCkJP7BuC.Kate Saenko @kate_saenko_
5K Followers 164 Following AI Researcher in dataset bias, vision & language models / FAIR / Professor at Boston University / NeurIPS 2023 co-PC / she/her/hersPin-Yu Chen @pinyuchenTW
3K Followers 840 Following Principal research scientist@IBM Research & Chief Scientist@RPI-IBM AI Research Collaboration & PI@MIT-IBM AI Lab. IJCAI Computers & Thought Award Winner.Sara Magliacane (she/.. @saramagliacane
3K Followers 1K Following Assistant professor @AmlabUva @UvA_Amsterdam, previously @MITIBMLab , #causality #CausalRepresentationLearning #causalityInspiredML, 🇮🇹🇸🇮 in 🇳🇱Hilde Kuehne @HildeKuehne
3K Followers 763 Following Professor for CS at @UniBonn and affiliated Professor at MIT-IBM Watson AI lab @MITIBMLab - Multimodal learning and video understandingJustin Solomon @JustinMSolomon
6K Followers 662 Following Associate prof, MIT EECS/CSAIL 💻🔬🦥🧀🏋️♀️🎼🐈🎻🏳️🌈 he/him/hisStanford HAI @StanfordHAI
86K Followers 559 Following The official account of the @Stanford Institute for Human-Centered AI, advancing AI research, education, policy, and practice to improve the human condition.𝙷𝚒𝚖𝚊 𝙻.. @hima_lakkaraju
16K Followers 836 Following Professor @Harvard; PI @ai4life_harvard; Co-founder @trustworthy_ml; #AI #ML #Safety; Stanford PhD; MIT @techreview #35InnovatorsUnder35IBM Research @IBMResearch
235K Followers 1K Following Inventing what's next in science and technology. 🌍🔬 Subscribe to our newsletter: https://t.co/kyfsvQN1DnMIT School of Humanit.. @MIT_SHASS
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2K Followers 670 Following Scientist. Mom. Student of yoga. Accidental James Beard nominee. Google Research.Journal of Machine Le.. @JmlrOrg
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3K Followers 717 Following Obsessed w/ ideas & chocolate. Write "The Big Idea" column @BostonGlobe Advisory committee member @lemelsonfdn Created and hosted "Innovation Hub"IBM Consulting @ibmconsulting
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995 Followers 235 Following Research staff member at MIT-IBM Watson Lab. PhD from Mila.Athul Paul Jacob @apjacob03
698 Followers 387 Following @MIT_CSAIL PhD Student | Co-created AIs: CICERO, Diplodocus | Ex: @google @generalcatalyst, FAIR @MetaAI, @MSFTResearch AI, @MITIBMLab, @Mila_QuebecJonathan Ragan-Kelley @jrk
1K Followers 537 Following The lyf so short, the craft so longe to lerne.MMFM Workshop @MMFMWorkshop
91 Followers 42 Following 2nd workshop on Multi Modal Foundation Models @ CVPR24Brittany Forgione @BrittForgione
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2K Followers 458 Following Researcher in machine learning & artificial intelligence. Lead, MIT Probabilistic Computing Project.Marelli Lab @MarelliLab
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11K Followers 1K Following then: culture editor @TechCrunch. now: tbd 🔮. outdoors ideally 🏳️🌈 | DM or [email protected] 💌#MIT researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks. @MITEECS @MITEngineering @MIT_SCC @MITIBMLab news.mit.edu/2024/tiny-chip…
When a human-AI conversation involves many rounds of dialogue, the powerful large language machine-learning models like ChatGPT sometimes start to collapse. A team of researchers from MIT and elsewhere has pinpointed a surprising cause of this problem. mitsha.re/KYxV50Rk5h5
@saramagliacane is Asst Prof. in @AmlabUva at @UvA_Amsterdam and a Research Scientist at @MITIBMLab. Her focus is along 3 axes: causal representation learning, causality-inspired machine learning and how causality helps RL adapt to new domains and nonstationarity faster. 🧵2/4
Tuesday, April 30: Join us to celebrate the dedication of the new MIT Schwarzman College of Computing building. Come by for refreshments, demos, and giveaways at 3:30 pm, followed by the dedication ceremony at 4:30 pm. computing.mit.edu/dedication
AAAS is thrilled to announce our 2023 #AAASFellows! “This year’s class embodies scientific excellence, fosters trust in science throughout the communities they serve, and leads the next generation of scientists,” said AAAS CEO @sudipsparikh. Read more: brnw.ch/21wIWyv
Researchers from @MIT and @MITIBMLab used machine learning to improve safeguards on large language models. news.mit.edu/2024/faster-be…
Our computer vision textbook is released! Foundations of Computer Vision with Antonio Torralba and Bill Freeman mitpress.mit.edu/9780262048972/… It’s been in the works for >10 years. Covers everything from linear filters and camera optics to diffusion models and radiance fields. 1/4
.@MIT_CSAIL PhD candidate Andi Peng is interested in building agents that learn representations from rich human knowledge, whether directly (e.g. from users) or through priors (e.g. from LMs). Read more about Andi and her research: bit.ly/4cNRJZz
Transformations in #AI: why #foundationmodels are the future youtube.com/watch?v=kLBdpN… @IBMDeveloper @IBMData @IBMwatsonx #developers #GenAI #IBM #innovation
MIT engineering programs are well represented in the latest QS world rankings. #Engineering news.mit.edu/2024/qs-world-…
Thrilled to unveil DS-MoE: a dense training and sparse inference scheme for enhanced computational and memory efficiency in your MoE models! 🚀🚀🚀 Discover more in our blog: huggingface.co/blog/bpan/ds-m… and dive into the details with our paper: arxiv.org/pdf/2404.05567…
We are excited to announce that the second edition of our workshop on Differentiable Almost Everything got accepted to #ICML2024 in Vienna 🎻! Check out our updated website: differentiable.xyz @CuturiMarco @HildeKuehne @Michael_A_Kagan @StefanoErmon @icmlconf
1/ Despite great advances in LLMs, challenges in numerical reasoning persist. Our new paper introduces #NumeroLogic, a novel number formatting that enhances numerical reasoning. @LChoshen @JosephShtok @SivanDoveh @leokarlin @ArbelleAssaf @IBMResearch @MITIBMLab @MIT
This is going to be the year of hands and dexterous manipulation :) A sneak-peak into what's been cooking in our lab:
🧐Automatically breaking LLAMA2-7B, GPT-3.5, Stable Diffusion, etc with curiosity-driven exploration! Curious exploration helps test large language and vision models by generating diverse inputs/prompts that trigger unwanted responses from a target model. ⚡️Read our paper,…
We welcome submissions to our Multimodal Foundation Models and their applications Workshop (MMFM2) at @CVPR 2024. We have archival and non-archival tracks (including works accepted to CVPR without modification to the paper). We expect a large attendance, and it’s a great…
New work from @MITIBMLab researchers on large scale alignment of LLMs. Check out the models at HF huggingface.co/ibm/merlinite-…
Hey, we did a thing: "LAB: Large-scale Alignment for chatBots"—a new synthetic data-driven LLM alignment method that yields great results without using large-scale human or proprietary model data. arxiv.org/abs/2403.01081 models: huggingface.co/ibm/labradorit…, huggingface.co/ibm/merlinite-…
Want to understand the role of glial computation in long-term memory storage and retrieval? Visit our @CosyneMeeting poster (1-053) and check out our preprint at arxiv.org/abs/2311.08135. Joint work w/ @DimaKrotov and Jean-Jacques Slotine. 1/3
The Consensus Game: LM Generation via Equilibrium Search: Ensembling LMs is hard, esp. when trust in different models / samplers varies by context. Tools from game theory can help! arxiv.org/abs/2310.09139 w/ @apjacob03 @Yikang_Shen Gabri Farina (R0-FoMo workshop #neurips2023)
[1/3] 🌟 Excited to share our latest work "Rethinking Machine Unlearning for LLMs" on arXiv! 🚀 Check it out: arxiv.org/abs/2402.08787 📢Our mission? To cleanse LLMs of harmful, sensitive, or illegal data influences and refine their capabilities.