In an era of ever-expanding astronomical research, the need for tools capable of swiftly classifying vast numbers of ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...

Researchers from the Yunnan Observatories have developed a neural network method for classifying large-scale celestial ...

Some institutions have piloted a model of returning objects to their source community but keeping a 3D digital model-replica at the institution for researchers, which raises further questions ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Object First at VeeamON 2025 Get a first look at the Ootbi Consumption Model — watch the live stream from the VeeamON show floor today at 10:30 AM PT.