Spaceborne Light Detection and Ranging (LiDAR) has become a powerful tool for observing forest height, biomass, carbon stocks ...

Point cloud tooling in Python is fragmented. laspy reads files. Open3D visualizes them. PDAL pipelines transform them. But nothing treats acquisition platform as a first-class concept — and platform ...

Pure, homemade extracts are easy to make and add better flavor to your cooking and baking. These simple instructions can be used to make any extract flavor using quality ingredients—no fillers, ...

BOTETOURT COUNTY, Va. (WDBJ) - The Western Virginia Water Authority this week released records detailing Google’s projected water use at a planned data center in Botetourt County, following a ...

Most of the world's information is stored digitally right now. Every year, we generate more data than we did the year before. Now, with AI in the picture, a technology that relies on a whole lot of ...

The construction industry is embracing transformation through the integration of digitization, artificial intelligence (AI), and immersive technologies. On a construction site, continuous assessment ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...

Water consumption by data centers and cryptomining facilities will be the focus of a new data-collection effort launched Friday by the Texas Public Utility Commission. Demand to build new data centers ...

Transporting raw materials from mines to ports efficiently is a critical challenge in the mining industry. In Northern Cape, South Africa, a manganese mine faced high costs and inefficiencies moving ...

US Immigration and Customs Enforcement is asking companies to provide information about “commercial Big Data and Ad Tech” products that would “directly support investigations activities,” according to ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...