The Age of AI will rely on massive volumes of data that can be easily stored and retrieved—and bioscience may have an ingenious solution.

A few weeks earlier, I’d heard a similar rationale from Dan Hendrycks, the director of the Center for AI Safety. By the time he could tap into any retirement funds, Hendrycks anticipates a world in which “everything is fully automated,

Yet Intel still matters, as Mr Trump’s interest shows. The most advanced chips, vital for smartphones and AI, are now made almost entirely by TSMC. America’s tech giants depend on it. Such reliance on a single supplier—particularly one based in Taiwan—is risky.

Berlin-based non-profit search engine Ecosia has asked a U.S. judge to turn Chrome into a foundation it controls, funding billions in climate projects.

Students are learning to use tools like ChatGPT for quick answers but not necessarily to evaluate sources, check outputs or apply AI responsibly in professional settings.

Google’s estimates are lower than previous research on water- and energy-intensive data centers that undergird generative AI models. That’s due in part to improvements in effi

AI isn’t just cranking out code anymore. It’s starting to think, solve problems and work like a real teammate in d.

The idea of open versus closed (or proprietary) models is familiar to anyone who has worked in software, and the definition is the same when it comes to AI. According to our partners at the Open Source Initiative (OSI),