Researchers use ultrasonic waves to assemble copper nanosheets into uniform, conductive coatings on curved and flexible ...

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect ...

Unlike traditional artificial intelligence, which focuses on recognizing patterns and decision-making, generative AI can ...

Three-dimensional printing enables the net shape manufacturing of objects with minimal material waste and low tooling costs, but the functionality is generally limited by available materials, ...

Fraunhofer’s goROBOT3D slashes 3D scanning time for transparent and dark materials from 15 to 1.5 seconds using thermal imaging.

A new technical paper titled “Enabling static random-access memory cell scaling with monolithic 3D integration of 2D field-effect transistors” was published by researchers at The Pennsylvania State ...

We present a method for discovering object models from 3D meshes of indoor environments. Our algorithm first decomposes the scene into a set of candidate mesh segments and then ranks each segment ...

Manipulating elasto-plastic objects remains a significant challenge due to severe self-occlusion, difficulties of representation, and complicated dynamics. This work proposes a novel framework for ...

What are 3D printed objects made out of? This video explores the materials used in 3D printing, providing insight into the different types of filaments and their applications. #3D #3DAnimation ...

Boston Dynamics designed the robot’s vision system to handle these challenges through a combination of 2D and 3D awareness, object pose tracking, and tight calibration between what it sees and does.