Artificial intelligence is rapidly transforming the geospatial intelligence landscape, making GEOINT 2026 one of the most consequential gatherings for the intelligence community this year. While ...

It contains a production grade implementation including DEPLOYMENT code with CDK and a CI/CD pipeline, testing, observability and more (see Features section). Choose the architecture that you see fit, ...

A new global dataset reveals the boundaries of agricultural fields. Taylor Geospatial funded and co-developed the project with Microsoft AI for Good Lab. Credit: Taylor Geospatial and Microsoft AI for ...

Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...

The confluence of the Mississippi, Missouri and Illinois rivers as viewed from the Shuttle Radar Topography Mission. Taylor Geospatial looks to support the development of AI and Machine Learning tools ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

One of the most important measurements we make while tuning an engine is finding out what the actual balance of air and fuel was inside the engine. It doesn’t matter if we have a carburetor, port ...

Lambda Inc., a startup with a cloud platform designed to run artificial intelligence workloads, is reportedly seeking to raise $350 million in funding. Sources told The Information late Thursday that ...