Some tech leaders are concerned that the artificial intelligence race will exhaust available land and energy. The solution might lie in orbit. Credit...Soña Lee Supported by By Eli Tan and Ryan Mac ...
TAYLOR, Texas — When Pamela Griffin was growing up in Taylor, Texas, the plot of land on the edge of her neighborhood was more than an empty field. It was a playground, a baseball field and a ...
Marketing AI is only as strong as the data it runs on. Move from chaos to optimized data maturity and deliver personalization at scale. AI is only as strong as the data beneath it. Fragmented, ...
The data, from thousands of coal-burning power plants, oil refineries, steel mills and other industrial facilities, is the country’s most comprehensive way to track greenhouse gases. By Maxine Joselow ...
To join the CNBC Technology Executive Council, go to cnbccouncils.com/tec Electronic waste, or e-waste, is projected to reach 82 million metric tons by 2030, with ...
Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. AI rarely fails because of bad models alone. More often it fails ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
The tech company lost a massive privacy case involving the Flo app that has raised huge questions about how health apps are secretly being used. Tyler has worked on, lived with and tested all types of ...
Few things are more frustrating than turning on your computer and being greeted with a blank screen, endless loading, or a system crash. When your operating system (OS) fails to start, your first ...
Abstract: Database modeling defines the logical design, structure, and specifications for data storage and access within a DataBase Management System (DBMS), a core component of any Information System ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.