With Oscar nominations and a couple of Golden Globe awards, the KPop Demon Hunters phenomenon is now well and truly established. But even so, the ratings Demon Hunters has put up for Netflix continue ...

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 ...

What happened in 2025? Well, a lot. There were tariffs, breakthroughs and disappointments with AI, and a wobbly economy that sent decidedly mixed signals. There were crises of purpose, execution, and ...

If you’re going online to buy some last-minute gifts this holiday season, there’s a chance the price you pay will be influenced by what’s known as “surveillance pricing.” Some retailers are using ...

As many market participants anticipate a year-end rally, there are mounting indications that such an outcome is far from assured. Investor positioning appears increasingly stretched, with multiple ...

YouTube is pulling its data from Billboard for use in the publisher’s industry-leading U.S. music charts. The decision is in response to a recent change Billboard made to its ranking formula, which ...

Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...

The effort is drawing bipartisan support and is expected to come up again next year as officials grapple with the artificial intelligence boom’s side effects. States facing drought and dwindling ...

When the Coalition of Communities of Color (CCC) began a multi-year collaboration with the Oregon Health Authority (OHA), they worked together to modernize a critical public health information source: ...

Here’s a way to evaluate the riskiness of the world’s collective investment in artificial intelligence: Can we even build all the necessary physical infrastructure? And if so, will the resulting ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

“AI” needs a lot of computing resources, which is why new data centers are cropping up anywhere there’s cheap land. But powering all those hungry servers takes a lot of energy, and overburdened power ...