Abstract: Recent advancements in spatial information technology have facilitated the acquisition of substantial spatial data from diverse sources characterized by varying levels of quality. Addressing ...

Abstract: To improve the unsupervised training of geospatial foundation models, we propose a novel approach that prepares diverse and unbiased datasets by maximizing an information entropy of selected ...

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...

In this post, we will show you how to enable or disable Spatial Sound in Windows 11. Spatial Sound is an advanced audio feature that creates an immersive, 3D sound experience, without requiring ...

Azure HorizonDB introduces cloud-native PostgreSQL with disaggregated compute and storage for faster scaling and failover. HorizonDB’s Rust-based storage engine improves security, reliability, and ...

Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. Deep ...

In the dynamic fields of urban planning and climate science, Esri, the world’s leading geographic information system (GIS) software provider, is pioneering how cities use data to confront urgent ...

Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products. I share my insights here.) Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products.

Few things generate as much data as simply observing Earth from above. But Ryan Abernathey and Joe Hamman very quickly realized that all that data still wasn’t enough for their startup to thrive.