drop what you're doing and admire this logo 👌

Best logo, wish I had thought of it myself 🙃 And really interesting paper too, SSMs and Transformers seem complementary

We present a new SOTA on point tracking, via self-supervised training on real, unlabeled videos! BootsTAPIR achieves 67.4% AJ on TAP-Vid DAVIS with minimal architecture changes, tracks 10K points on a 50-frame video in 6 secs. Pytorch & JAX impl on Github. bootstap.github.io

We're excited to release TAPVid-3D: an evaluation benchmark of 4,000+ real world videos and 2.1 million metric 3D point trajectories, for the task of Tracking Any Point in 3D!

We are hiring on the Generative Media team in London: boards.greenhouse.io/deepmind/jobs/… We work on Imagen, Veo, Lyria and all that good stuff. Come work with us! If you're interested, don't delay -- apply before 5PM tomorrow (UK time).

My internship at Google DeepMind has come to its end. It’s been a wonderful 6 months filled with learning and growth. I am grateful to Ross Goroshin who walked me through this journey and I can’t wait to share our results!

How Nobel Prizes will be given in the future 😑 #Physics #NobelPrize #NobelPrize2024 #scicomm

Want to join Chandar Lab and Mila - Institut québécois d'IA? I will be recruiting several graduate students (both MSc and PhD) for Fall 2025! Please apply through the Mila supervision matching process! The deadline to apply is 01 December!

Update: I am now a Mila Core Industry member & Adjunct Prof. at Université de Montréal. We plan to co-supervise students with Sarath Chandar, please apply at: chandar-lab.github.io/join/.

The talk I gave @ Mila on learning linearized representations of dynamical systems (Koopman representations) is on YouTube. The work was mainly carried out by Mahan Fathi in collaboration with Pierre-Luc Bacon 's lab, and was presented at ICLR 2024. youtube.com/watch?v=wKyN5j…

At Chandar Lab, we are happy to announce the second edition of our assistance program to provide feedback for members of communities underrepresented in AI who want to apply to high-profile graduate programs. Want feedback? Details: chandar-lab.github.io/grad-app-help/. Deadline: Nov 15!

Hi, our team in AI for Education Google DeepMind is hiring for a software developer role in Montreal. Please apply if you are excited about transforming education . boards.greenhouse.io/deepmind/jobs/…

The #AlphaFold 3 model code and weights are now available for academic use. We Google DeepMind are excited to see how the research community continues to use AlphaFold to address open questions in biology and new lines of research. github.com/google-deepmin…

Only 2 days left to apply for this MSc/PhD application assistance program for underrepresented students! Please retweet for maximum reach!

The world doesn’t live on a pixel grid and neither should vision models! Excited to share Moving off-the-Grid (MooG): a video model w/o grid-based representations. MooG learns detached “off-the-grid tokens” that bind to (and track) scene elements as camera & content move. 🧵

A late update: Last month, I joined Google as a student researcher. Working with Peilin Zhong at Vahab Mirrokni' team, and collaborating with Ross Goroshin and Ankit Anand, I'll continue my direction on world modeling. I'll be also at NeurIPS Conference next week, let's chat!

🎊Gemini 2.0 is here! 🎊 An AI model for the agentic era The blog post is chock full of announcements: Gemini 2.0 Flash Project Astra Project Mariner Developer features for building agents Agents in games and more! Watch the videos in the blog! blog.google/technology/goo…

We are looking for a student researcher to work on video understanding plus 3D, in Google DeepMind London. DM/Email me or pass it to someone if you feel it may be a good fit!

We're very excited to introduce TAPNext: a model that sets a new state-of-art for Tracking Any Point in videos, by formulating the task as Next Token Prediction. For more, see: tap-next.github.io 🧵

Today is my last day at Google. I started over 8 years ago, with a mandate to build a team doing bleeding edge AI research from Montreal, in what would be the first big tech AI research lab in the city. These years led to countless amazing scientific contributions from my team,