They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...
Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...
Abstract: Accurate representations of 3D faces are of paramount importance in various computer vision and graphics applications. However, the challenges persist due to the limitations imposed by data ...
We structured the STRONG AYA case-mix and core outcome measures concepts and their properties as knowledge graphs. Having identified the corresponding standard terminologies, we developed a semantic ...
A programmable LED array provides multi-angle plane-wave illumination, and the transmitted light is collected by microscopic optics and recorded on a camera sensor for subsequent computational ...
1 Business School, University of Shanghai for Science and Technology, Shanghai, China. 2 College of Optoelectronic Information and Computer Engineering, University of Shanghai for Science and ...
This is the code repository for Unifi3D, a unified framework for evaluating the reconstruction and generation performance of 3D representations. We compare these representations based on multiple ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
Boeing, the multinational airplane manufacturer, has unveiled a 3D printed solar array substrate approach that compresses composite build times by up to six months on a typical solar array wing ...
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