A new mapping tool allows local governments, conservation groups and landowners to understand how their land-use decisions ...
The Army Data Operations Center’s debut is part of an enormous push to further integrate data and machine learning into ...
A new study finds that commercial satellite imagery data often outperforms public data sets when identifying surface water, but that public data sets may be better at detecting water hidden by forest ...
Artificial intelligence is dominating Wall Street, foreign policy and commercial real estate across the country. Texas now has the fastest-growing data center market in the country, with developers ...
As demand for computing power from AI large language models (LLMs) continues to surge, power density in data centers is rising in tandem, bringing the conversion losses of traditional power ...
Northern Louisiana is turning into data center central. Across the state from Meta’s under-construction Hyperion megaproject, Amazon and STACK Infrastructure just announced a $12 billion investment in ...
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 ...
Starlink says it may also share personal data with partners to help it "develop AI-enabled tools that improve your customer experience.” Joe Supan is a senior writer for CNET covering home technology, ...
Data center operators and utilities often do not disclose facility-specific energy and water usage data. The Republic built a database to estimate data centers' energy capacity by analyzing air ...
Christopher Hernandez received funding from the National Science Foundation (grant number SPRF 1715009) for the lidar work in Puerto Bello Metzabok. Picture an aircraft streaking across the sky at ...
Tech companies are building data centers as quickly as possible to run AI. These facilities are controviersial because they use copious amounts of electricity and might tax an electrical grid that in ...
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 ...