We return to a special Valentine’s Day episode, and look at the evolution of romance scams. They aren’t just about bilking lonely people out of their life savings anymore – scammers have diversified, and they’re making victims accomplices in a roster of cyber crimes from email scams and check fraud to money laundering.

Former astronaut Ed Lu once worried about asteroids. Now he’s turning his attention to space debris —and a new question it raises: could adversaries turn it into a weapon? Some officials are beginning to worry the answer may be yes.

A Cold War story about musicians, dissidents, and the quiet ways people push back when a system decides who gets to exist — and who doesn’t.

When Big Tech brought plans for a giant data center to St. Charles, Missouri, one college student decided to fight back. And it raises a question that small towns all over the US are asking: What happens when the cloud touches ground?

Car theft has gone digital. We talk to a white-hat hacker about how cars became computers on wheels—and why, in the race for smarter tech, safety is still trying to catch up.

Volvo built its reputation on safety. Then a software update nearly sent one driver off a cliff. We look at what happens when car companies start acting like tech companies — and discover the danger of “move fast and break things” on the open road.

As the Trump administration pressures Apple and Google to remove apps that track ICE activity from their stores, locals are going old-school. Francisco Chavo Romero, an LA-based activist, explains how it works.

When the Trump administration began rounding up immigrants, a new kind of resistance took shape — digital, crowdsourced, and built for the smartphone era. Activists used apps and social media to keep watch on the government. But before long, the government started watching back.

The A.I. boom is reshaping our world—and quietly guzzling power. This week, sustainable code advocate Stuart Clark explains how the race to build smarter machines is heating up our planet—and how we can code our way to a cleaner future.

What happens when you cross a marine biologist with a machine-learning engineer? You get someone who thinks humpback whales might be saying something meaningful—and that artificial intelligence could help us finally understand it.