Every time someone orders food online, checks exam results, or streams a video, new data is created and saved. Behind these activities are large databases that store millions of records. These ...

New data from BrightEdge shows how finance-related queries perform on AI Overviews, identifying clear areas that continue to show AIO while Google is pulling back from others. The deciding factor is ...

Brittany Janis is executive director of the Open Environmental Data Project in Hudson, New York. Cathy Richards is a civic science fellow and data-inclusion specialist at the Open Environmental Data ...

Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...

Employment growth was essentially flat in September, according to data from investment giant Carlyle that seeks to fill in data gaps created by the government shutdown. To be sure, while Carlyle's ...

This story was originally published by WIRED and is reproduced here as part of the Climate Desk collaboration. The Environmental Protection Agency announced earlier this month that it would stop ...

The Environmental Protection Agency announced earlier this month that it would stop making polluting companies report their greenhouse gas emissions to it, eliminating a crucial tool the US uses to ...

Think of them as AI factories, churning out your responses from ChatGPT, Gemini, Claude and all the other generative AI tools. The costs are staggering. Corin Cesaric is a Flex Editor at CNET. She ...

Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing, refining, and validating AI-generated outputs. AI is not only reshaping ...

A growing digital economy and use of artificial intelligence has exponentially increased the need for physical facilities to store, manage and process data. According to datacentermap.com, Wisconsin ...

Abstract: Efficiently retrieving relevant data from massive Internet of Things (IoT) networks is essential for downstream tasks such as machine learning. This paper addresses this challenge by ...