An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

Try SAM 3D to create editable 3D models and meshes from images, with manual scale and rotate tools, helping beginners turn ideas into assets ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Finally, the code for the web UI client used in the Moshi demo is provided in the client/ directory. If you want to fine tune Moshi, head out to kyutai-labs/moshi ...

Abstract: Multi-object tracking (MOT) aims to estimate the bounding boxes and ID labels of objects in videos. The challenging issue in this task is to alleviate competitive learning between the ...

Abstract: Estimating the poses of new objects is a challenging problem. Although many methods have been developed for instance-level object pose estimation, they often struggle when faced with ...

In this work, we propose a new segmentation task --- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text. We establish a benchmark ...