Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...

Abstract: The objective of temporal–spatial–spectral fusion for remote sensing images is to reconstruct imagery with enhanced temporal, spatial, and spectral resolution. This process aims to integrate ...

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...

Telecom networks are no longer planned or evaluated in isolation. As 5G, private LTE, fixed wireless, and mission-critical communications expand, operators are expected to deliver stronger coverage, ...

In the race to deliver faster, smarter, and more resilient networks, CSP and telco leaders are finding a powerful ally in geospatial innovation. Once used primarily for emergency response and basic ...

Your browser does not support the audio element. The Geospatial Professional Network (formerly URISA) is seeking respondents to its 2025 GIS Management Survey. The ...

Waypoint 33 LLC and Cellular Expert announce a U.S. distribution partnership to expand access to advanced RF modeling and GIS-driven network design solutions Waypoint 33 becomes the official U.S.

The California Spatial Reference Center (CSRC) modernized the California Spatial Reference Network (CSRN) on July 31, 2025. The new California Spatial Reference Network is denoted as CSRN Epoch ...

Abstract: Infrared small target detection (IRSTD) has progressed significantly in spatial-domain learning. However, single-frame images’ limited spatial semantics impair discrimination between targets ...