With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...

You’ve heard the pitch a thousand times: AI is the silver bullet that will solve everything from customer churn to supply-chain bottlenecks. But the truth is messier. The pace of change in AI and ...

Multiple reports show the data centers used to store, train and operate AI models use significant amounts of energy and water, with a rippling impact on the environment and public health. According to ...

Feb 10 (Reuters) - Microsoft (MSFT.O), opens new tab is exploring using superconducting power lines in its data centers, which could potentially accelerate its massive U.S. build-out of the server ...

File - In this Tuesday, Oct. 5, 2021, photo, a woman stands at her well at her property on the outskirts of The Dalles, Oregon. She said the water table that her well draws from dropped 15 feet in the ...

At the 2026 Housing Economic Summit, United Real Estate Group CEO Dan Duffy said brokerages are underinvesting in data scientists and strategy, limiting insight despite scale. Guild Mortgage’s Nora ...

An analysis by WIRED this week found that ICE and CBP’s face recognition app Mobile Fortify, which is being used to identify people across the United States, isn’t actually designed to verify who ...

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, ...

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Andy Power, CEO of Digital Realty says data center real estate is not oversupplied as hyperscalers like Nvidia, Amazon, Google and Meta announce more projects. JLL expects data center capacity to ...

AI’s progress has hit a critical constraint: access to real-world data. While public datasets and web scraping powered AI’s early breakthroughs, today’s models demand proprietary data from hospitals, ...

Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...