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Most of us can recognize an object after seeing it once or twice. But the algorithms that power computer vision and voice recognition need thousands of examples to become familiar with each new image or word.

An unusual fleet of self-driving cars will take to the road in coming months. Unlike most automated vehicles, which are programmed to deal with the situations they may encounter, these cars will have taught themselves, in simulation, how to handle tricky scenarios safely.

Traffic updates are getting high-tech. The mapping service Here has announced that it will begin to crowdsource information acquired by in-car sensors to provide drivers with more accurate information about congestion.

Be careful. We are likely nearing the end of the recent boom in innovation, and tech investors are overreaching, says Silicon Valley investor and entrepreneur Elad Gil. Gil, who’s spent years in key posts at Twitter and Google, and who’s currently invested in or advising private companies including AirBnB, Square, and Stripe, argues that as they search for the next technology wave, investors have begun to apply lofty software-company-level valuations to industries that are traditionally less profitable.

The regulator has suggested that it treat every edit of an animal’s genome like a new drug, but some scientists think it could slow progress.

What's the best way to get a piece of the emerging field of self-driving cars? Automakers say it's to custom-make their own robotic vehicles, essentially from scratch. A handful of tech firms, however, are building systems that will allow carmakers to take a back seat.

When MIT grad student Steve Mann began wearing a computer and a head-mounted camera every moment of the day in 1981, he wasn't thinking of Black Lives Matter, racism, or police violence. But Mann, now a professor at the University of Toronto, may have given us the key concept for understanding the role of ubiquitous cameras in documenting police violence against people of color.

As light-emitting diodes become cheaper and cities are encouraged to cut their energy use, LED streetlights have sprung up on the roads of many municipalities around America. But residents in those early-adopting cities are now faced with a problem: they don’t like the light.

As @POTUS contemplates his legacy, the editors of MIT Technology Review took a look back at some of the most important technology initiatives of his eight years to assess that record. He succeeded in some important ways, such as supporting net neutrality and joining global action on climate change. But there were failures, too—remember healthcare.gov?—and even some of the successes are now in question as a new administration comes into power.

As I pull my phone from my pocket and start snapping pictures, I feel like a private eye, or even a secret agent. I’ve just walked into Amazon Books, the web giant’s flagship bookstore in Seattle, but my intentions have little to do with shopping. I’m on a reconnaissance mission.

Amazon doesn’t have an official presence at the Consumer Electronics Show in Las Vegas, but it’s making no shortage of headlines thanks to its Alexa smart assistant. Don’t assume, though, that the AI butler will be king forever.

A botched command inadvertently took down swaths of the Web, but it only serves to reveal that centralized Web services need to be built more robustly.

Had artificial intelligence been named something less spooky, we’d probably worry about it less.

Step in front of an autonomous car, and it should stop. Cut one off while you’re driving, and it should hit the brakes. These are obvious safety features to build into robotic vehicles—but they also leave open the possibility for humans to game their behavior. It's easy to imagine how cyclists might rule the roads of New York City if all taxis are driverless.

Google is using a powerful new machine-learning approach to save huge amounts of energy (and hundreds of millions of dollars) each year at its vast data centers. It might not be long before the technique, which involves a machine-learning algorithm gradually learning to perfect a task with positive reinforcement, catches on in a range of other areas.

As Facebook finally rolls out tools to clean up misinformation, another Internet giant must follow its lead.

Donald Trump has been forced to hand over his old phone for a more secure device—which might make tweeting a little harder.

Let's face it: the pace of progress in artificial intelligence can sometimes seem unsettling. Terminator-style machines remain science fiction, but AI could have a huge impact on employment, introduce bias into algorithms, and contribute to the development of autonomous weapons. But perhaps the biggest looming threat may be making sure we understand how these increasingly complex systems work when they go awry.

Facebook has announced a new AI-powered filter for your photos—a modest move, but one that signals the company’s grand ambitions to bake artificial intelligence into every aspect of its business.

Rising temperatures due to climate change will strongly affect economic growth around the world, making some countries richer and some poorer.