Spatial data regionalization and clustering constitute a set of methods for partitioning geographic areas into meaningful, internally coherent regions. These approaches balance spatial contiguity with ...

An AI model has been developed that integrates spatial transcriptomics data to analyze cell interactions and gene activity.

It’s been several years since generative AI and large language models (LLMs) took the world by storm. LLMs surpassed earlier natural-language systems at generating text, while diffusion models enabled ...

IntroductionIf you have ever built a predictive model using spatial data as a planning policy officer or data analyst, have you ever felt this sense of unease?・“The accuracy (R² or AUC) on the ...

In 2017, Fei Fei Li, Stanford’s renowned computer scientist who is considered the Godmother of AI in the industry, spoke with Melinda Gates in Wired magazine about ‘liberating AI from guys with ...

Kosmo combines lidar-based scanning and cloud reconstruction to create robot-training environments, with a store deployment ...

Hesai Group launched Kosmo on October 14, 2026, a 3D world data engine that combines its Kosmo One spatial camera with the ...

Xiaomi announced yesterday the introduction of MiDashengLM-Spatial, a significant new member of the Dasheng series, fully ...

Testing of data provided by the Second Pipeline Construction Co. of China National Petroleum Corp. (PetroChina Pipeline) shows that using a 3D pipeline spatial-data model (PSDM) not only can further ...

Spatial data is any type of data that directly or indirectly references a specific geographical area or location. It is most commonly processed and analyzed by geographical information systems (GISes) ...

Realsee Galois P4, a professional 3D LiDAR camera, combines high-resolution panoramic imaging with spatial capture and ...