"I think every astronomer is going to find something of value here, as NASA's missions enable the world to answer fundamental ...

This week’s Nintendo Download includes the following content: Nintendo eShop on Nintendo Switch and Nintendo Switch 2: The Ro ...

Abstract: Due to the high cost of obtaining 3D annotations and the accumulation of many 2D datasets with 2D semantic labels, deploying multi-view 2D images for 3D semantic segmentation has attracted ...

Using satellite data since 2019, researchers have created a map featuring nearly three billion buildings around the world.

Abstract: Single-view 3D object reconstruction (SVOR) aims to recover the 3D shape of an object from a single 2D image. Despite advances in deep learning (DL), challenges such as incomplete image ...

Microsoft is moving its Mesh 3D meeting capabilities into Teams through a new immersive events feature, now generally available. The company retired its standalone Mesh platform as of Dec. 1. The ...

Scientists have produced the most detailed 3D map of almost all buildings in the world. The map, called GlobalBuildingAtlas, combines satellite imagery and machine learning to generate 3D models for ...

Training robust deep learning models is critical in Earth Observation, where globally deployed models often face distribution shifts that degrade performance, especially in low-data regions.

Training deep learning models on petabyte-scale Earth observation (EO) data requires separating compute resources from data storage. However, standard PyTorch data loaders cannot keep modern GPUs ...

The second stage of SpaceX's Falcon 9 rocket captured an amazing view of Earth during the launch of the Intelsat 40e satellite. Credit: SpaceX | time-lapsed by Space.com's Steve Spaleta Music: Jupiter ...

Nasa's Jonny Kim, accompanied by Roscosmos cosmonauts Sergey Ryzhikov and Alexey Zubritsky, have returned to Earth from the International Space Station (ISS). They landed near the city of Dzhezkazgan ...

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