NVIDIA’s New AI Learns In A Minecraft-like World! & NVLM, Virtual Haircuts

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers

???? The paper "fVDB: A Deep-Learning Framework for Sparse, Large-Scale, and High-Performance Spatial Intelligence" is available here:
https://research.nvidia.com/labs/prl/publication/williams2024fvdb/
https://developer.nvidia.com/fvdb
https://blogs.nvidia.com/blog/fvdb-bigger-digital-models/

LLama 3.2: https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/
Gaussian Haircut paper: https://eth-ait.github.io/GaussianHaircut/

NVLM vision model:
https://research.nvidia.com/labs/adlr/NVLM-1/
https://huggingface.co/nvidia/NVLM-D-72B

???? My paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD

Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5

???? We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Alex Balfanz, Alex Haro, B Shang, Benji Rabhan, Gaston Ingaramo, Gordon Child, John Le, Juan Benet, Kyle Davis, Loyal Alchemist, Lukas Biewald, Martin, Michael Albrecht, Michael Tedder, Owen Skarpness, Richard Sundvall, Taras Bobrovytsky,, Thomas Krcmar, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers

My research: https://cg.tuwien.ac.at/~zsolnai/
X/Twitter: https://twitter.com/twominutepapers
Thumbnail design: Felícia Zsolnai-Fehér - http://felicia.hu

#nvidia