John Steinbach was shocked to receive a $281 electricity bill in January 2026—a huge spike from the roughly $100 he’d paid the previous month. “It’s just so far beyond any bill that I’ve ever had,” he ...

Roughly one in five student interactions with generative artificial intelligence on school technology involved cheating, self-harm, bullying, and other problematic behaviors, according to data ...

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 ...

This experiment set out to recreate a historical process for producing saltpeter (potassium nitrate) by leaching and concentrating nitrates from decomposed chicken manure. By documenting the ...

The San Francisco start-up claimed that DeepSeek, Moonshot and MiniMax used approximately 24,000 fraudulent accounts to train their own chatbots. By Cade Metz Reporting from San Francisco The San ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

Krista McCay is a writer specializing in video game guides and walkthroughs. She first entered the industry in 2022 while studying English at UC Santa Barbara and working part-time as an editor. It ...

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 ...

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 ...

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 ...