Thanks to our colleague @hengjinlp for both her invited talk and this panel at @IJCAIconf #IJCAI2025 #IJCAI

Thanks for sharing!

If anyone wants a PhD resume template to apply you guys can check this Hope this helps latextemplateshub.com/catego…

limanling.github.io/#joinus 7 Sloan Fellows in 2025, and a Nobel winner🙌 Mascot: Cat🐱 School Color: Purple💜 Campus Card: Wildcard 🎫 Money on it: Cat Cash😸 Backyard: Two private beaches for students and faculty🏖️ Lake-view: Floor-to-ceiling windows staring straight at Lake Michigan🌊 Right downstairs: 6 yoga studios, 4 Pilates, Whole Foods, Trader Joe's, Paris Baguette, etc🧘‍♀️ Wildcard Perks: Student discount pass to 300 restaurants/stores in Evanston/Chicago (yes, really) The personal touch: The only place that mailed me a customized gift after faculty interview: a mug with my name in 20 fonts, all in purple💜 Most importantly, we have amazing incoming faculty members like @RuohanZhang76 joining us working on foundation models and embodied agents! ruohanzhang.com

We are working on the intersection of Language, Vision and Robotics. See more at limanling.github.io My research aims to transform passive AI models to active, embodied agents. Today's foundation models, trained on static web-scale data, excel at semantic-centric reasoning, yet lack grounded interactions with the dynamic and partially observable physical world. I aim to architect this foundational bridge, like a trainable reasoning interface that connects foundation models to physical environments: #1 Seeing the unseen: Spatial Intelligence, Embodied Agents, Multimodality (Language Vision/Robotics). → moving from semantic-centric priors to spatial-geometric reasoning. #2 Exploring the world: Reasoning, Planning and Foundation Agent Training. → building the self-evolving policy reasoning interface from exploitation to exploration via world modeling. #3 Steering/Certifying the reasoning: Mechanistic Interpretability, Safety, and Trustworthiness. → turning black boxes to safe, transparent, and trustworthy agents

We are looking for PhDs and Postdocs! So proud of my students on achieving so many amazing things during their "very first year". I have been asked many times how I like being faculty, especially with funding cuts. My answer is always "it is the prefect job for me"! Still deep in the honeymoon phase. The only reason is the students are so amazing, making my transition so much easier. One year in, they already collected paper awards, orals, spotlights, etc What makes me proudest is they are vividly alive: curious, playful, confident in their own weird way, light up when talking about ideas, and never afraid to explore "the thing might fail". Everyone is just… themselves. And somehow, that version of themselves keeps shipping amazing work. In today's anxious academic world, this kind of aliveness is what I will try best to protect. Maybe the best part of being an advisor is that every student is so different and unique lol Interestingly, coming to second year, they've got their own passions, I can't just plug my ideas into their heads. So when I get excited about sth new, my first thought is: "Okay, time to find some fresh first-years who will be thrilled about this!" MLL lab is 1 year old, we started right in Oct 2024. We are growing and looking for more phds to join us! 1. Why our lab? (1/2) 2. Why @northwesterncs? (2/2) In 2025 alone: NU has 7 faculty as Sloan Fellows, plus a Nobel winner! Check more below

Join AAAI to access discounted conferences, publications, and a global network of experts. Collaborate, learn, and advance your career with resources, mentorship, and leadership opportunities. Be part of the premier community shaping the future of artificial intelligence worldwide. aaai.org/membership/

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Prediction markets are betting on Gemini 3 release next week $goog

Check out how we used Marble to make the launch video for Marble! It’s so fun to work behind the scenes to use this technology to help create and tell stories!

Today, we’re sharing a behind-the-scenes look at how we used Marble to create the worlds you see in our launch video.

I'm so sorry for your loss

The 21st AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2025) was held on November 10-14, 2025, at the University of Alberta, in Edmonton, Alberta, Canada. Proceedings are now available here: ojs.aaai.org/index.php/AIIDE…

Have YOU submitted your work to the AAAI 2026 NeuroAI workshop? Thanks to all who did. If not yet, please submit an abstract (2pg) or paper (8pg) by 10/30! We'd love to see your work. See details on our lovely flyer and at neuroai-multimodal-workshop.…. @NeuroAI_WS_AAAI @RealAAAI

I will be giving a keynote in 30 minutes on foundations for ai science and @JeanKossaifi will be presenting a poster on the neural operator library. Check it out! The future of ai science cannot be conceived without neural operators.

Listening to @AnimaAnandkumar's keynote @PyTorch conf 25

My first @PyTorch keynote was almost a decade ago in a small venue. So much has changed. Was amazing to come back to the much bigger @PyTorch conference and talk about ai science. Check out our Neural Operator library and its latest release github.com/neuraloperator/ne…

Afternoon keynotes continue with Animashree (Anima) Anandkumar's, Bren Professor of Computing and Mathematical Sciences at Caltech, session, “Foundations for AI Science.” Clip below 🎥 📸 Happening now at #PyTorchCon. #PyTorchLive #PyTorch #OpenSourceAI

Proud to have contributed to this caltech.edu/about/news/new-a…

It was wonderful to have @JeanKossaifi and David present the poster on Neural Operators and tensorly at @PyTorch yesterday. There is no ai science without neural operators. Check out our rich ecosystem.

🚀 NeuralOperator v2.0.0 is here! 🎊 Train at 64×64, fine-tune at 128×128, run inference at 512×512. No retraining. That's the power of learning in function spaces 🔥 🎪 At the @PyTorch conference today? Find us at the poster session, we’d love to discuss operator learning, and don’t miss @AnimaAnandkumar’s keynote on foundations for AI Science! ✨ What's new: •New models: CodaNO, Mollified GNO, Fourier Continuation •Tensor-GaLore for memory-efficient training •The Well dataset integration •Physics-informed training: H-div loss, PINO reweighting, Fourier differentiation •Improved docs with tutorials, theory, user & dev guides •Major refactoring & 100 bug fixes 📖 Docs: neuraloperator.github.io 
⚡ Install: pip install neuraloperator 
📦 Release: github.com/neuraloperator/ne… Big thanks to our 16 contributors! 🙏 #MachineLearning #ScientificML #PyTorch #NeuralOperators