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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.

"Welcome to You.” So says the genetic test kit that 23andMe will send to your home. Pay $199, spit in a tube, and several weeks later you’ll get a peek into your DNA. Have you got the gene for blond hair? Which of 36 disease risks could you pass to a child?

On Friday, January 8, several high-level officials from the Obama administration met at a federal office in San Jose with senior executives from Facebook, Twitter, Microsoft, LinkedIn, YouTube, and Apple. On the agenda for the discussion, according to a one-page memo widely leaked to the press, was this question: “How can we make it harder for terrorists to [use] the Internet to recruit, radicalize, and mobilize followers to violence?”

Conflict over government access to encrypted data will inevitably reignite under President Trump.

The 2015 Paris climate agreement was a major milestone, but the truth is, achieving its ambitious goal of keeping temperatures to within 1.5 °C to 2 °C of preindustrial levels would require rates of mitigation far in excess of what’s been achieved—or even what’s been planned.

Seen something strange growing in a petri dish in a friend’s basement? Know an angry graduate student working odd hours in a pathogen lab? You might want to call Edward You.

Algorithms usually need thousands of examples to learn something. Researchers at Google DeepMind found a way around that.

The pioneer of immunotherapy asks: Why do most patients fail to respond to the newest cures?

Companies taking advantage of amazing new digital technologies dominate our list of 50 Smartest Companies. But despite impressive advances in artificial intelligence and automation, the economy remains in a troubling slowdown.

At a laboratory outside San Francisco, money from the founders of Google maintains a large number of naked mole rats. The hairless rodents require exacting, expensive conditions to thrive: they live in cooperative colonies like ants, led by a queen rat. But what is truly extraordinary is that they can live about 30 years—10 times longer than a mouse.

If the next president intends to improve American infrastructure and expand economic opportunities, there’s no better place to start than with the millions of people who still lack broadband access and computer skills.

The rash of headline-grabbing cyber­attacks on major companies over the past few years has made one thing abundantly clear: it’s not enough to rely only on traditional security tools. To venture capitalists, that means there’s money to be made by betting on startups developing new ones.

In July 2013, an up-and-coming artist had an exhibition at the Galerie Oberkampf in Paris. It lasted for a week, was attended by the public, received press coverage, and featured works produced over a number of years, including some created on the spot in the gallery. Altogether, it was a fairly typical art-world event. The only unusual feature was that the artist in question was a computer program known as “The Painting Fool.”

Toyota spends $10 billion a year on research, more than any other automaker except Volkswagen. That pays for endless incremental improvements in everything from lithium batteries to seatbelt design, but such tweaks may not be enough anymore if Toyota is to remain the world’s top seller of cars.

Ingesting a heap of drug data allows a machine-learning system to suggest alternatives humans hadn’t tried yet.