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We’re kicking off the 3D Deep Learning Reading Group again! 🎉 Next session: Mesh-Up 📅 Wednesday 9th April at 09:30-10:30 AM London time GMT+01 Join the Slack channel of the reading group to add calendar invites and stay up to date with the sessions: 3d-deeplearning-rg.github.io

Perception Encoder: The best visual embeddings are not at the output of the network "we find that contrastive vision-language training alone can produce strong, general embeddings for all of these downstream tasks. There is only one caveat: these embeddings are hidden within the

On my way to Singapore for #ICLR2025 ! Looking forward to discussing generative video models and how to make them more controllable. We will also be presenting CubeDiff (cubediff.github.io) on Friday afternoon. Stop by and say hi :)

Help support growth in the African AI ecosystem and in the process learn a lot, meet interesting people and have fun! Mentorship commitments are flexible and require as little as an hour a month!

Join experts Yuval Tassa from Google DeepMind and Miles Macklin from NVIDIA at #GTCParis to learn about Newton, an open-source, extensible physics engine for robotics simulation, co-developed by Disney Research, Google DeepMind and NVIDIA. Gain insights into breakthroughs in

For folks in the ACM SIGGRAPH community: You may or may not be aware of the controversy around the next #SIGGRAPHAsia location, summarized here: cs.toronto.edu/~jacobson/webl… If you're concerned, consider signing this letter: docs.google.com/document/d/1ZS… via this form docs.google.com/forms/d/e/1FAI…

What if you could not only watch a generated video, but explore it too? 🌐 Genie 3 is our groundbreaking world model that creates interactive, playable environments from a single text prompt. From photorealistic landscapes to fantasy realms, the possibilities are endless. 🧵

📢 Amazing news: our Nature piece on AI agents has been published! We call for greater engagement with the ethical and societal implications of a world increasingly populated by AI agents. Check out Iason's summary below and read the paper here nature.com/articles/d4158…