Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

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 our interactive feature on small spaces, we showcased storage tips and lighting strategies through immersive 3D animations ...

I will explain what property-based testing (PBT) is and how it solves these problems. What is property-based testing (PBT)? At a very high level, it injects thousands of random values into ...

SAM 3D Body is an AI that can recognize the body shape and pose of a human in an image and create a 3D model. The results are below: SAM 3D Body and several competing AIs were used to generate 3D ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

More than 250 looted objects are on display in UNESCO's Virtual Museum of Stolen Cultural Objects. UNESCO To raise awareness of the illicit trafficking of cultural heritage artifacts, from ...

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 ...

Model making is a great hobby, but knowing how and where to start is another story. It can be overwhelming for novices: Injection-molded plastic models have been on the market for close to a century, ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...