Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases, spill highly sensitive data onto the public internet. Security researcher ...

Data API Builder helps developers expose database objects through REST and GraphQL without building extensive custom data access code. Steve Jones' Visual Studio Live! San Diego 2026 session will show ...

David Pogue is a six-time Emmy winner for his stories on "CBS Sunday Morning," where he's been a correspondent since 2002. Pogue hosts the CBS News podcast "Unsung Science." He's also a New York Times ...

Wisconsin is becoming a popular location for data centers due to its climate, water access, and affordable land. The majority of a data center's water footprint comes from the offsite electricity ...

Democratic senator Elizabeth Warren and Republican senator Josh Hawley are urging the US’s central energy information agency to provide better information on how much electricity data centers actually ...

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 ...

Google API keys for services like Maps embedded in accessible client-side code could be used to authenticate to the Gemini AI assistant and access private data. Researchers found nearly 3,000 such ...

Anthropic recently discontinued a feature that allowed large language models (LLMs) to perform external API interactions. AI Jason investigates how this decision impacts workflows that relied on ...

The proliferation of data centers in Arizona raises concerns about the strain on the state's water and power resources. Existing and planned data centers in Maricopa County could nearly double the ...

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 ...