MIT Technology Review

A team at George Church’s Harvard lab wants to redesign species with large-scale DNA changes.

Binance is doing million-dollar ICOs when everyone else has given up. But there’s a catch.

The plan is going to be tricky to pull off, both technically and politically, but the Kremlin has set its sights on self-sufficiency.

The newest addition to the commercial crew explains how he is preparing for space again, eight years after his last trip.

The SEC’s “crypto czar” has implied that Dai and other stablecoins may be securities—and that would be bad news for its fans.

Early results from the Japanese Hayabusa2 mission are not just giving us insights into space rocks—they can tell us about our own planet’s history, too.

Boris Katz has spent his career trying to help machines master language. He believes that current AI techniques aren’t enough to make Siri or Alexa truly smart.

Regulators, airlines, and Boeing need to grapple with how much information pilots are given as systems become more complex.

China is developing artificial intelligence on an unparalleled scale, but the US aims to beat it by inventing the next big ideas.

In spite of tensions with the US and its allies, Huawei is rapidly building a suite of AI offerings unmatched by any other company on the planet.

None is easy, but all are incredibly important.

From sodium-cooled fission to advanced fusion, a fresh generation of projects hopes to rekindle trust in nuclear energy.

We all make mistakes sometimes.

Meat production spews tons of greenhouse gas and uses up too much land and water. Is there an alternative that won’t make us do without?

Making complex heart tests available at the push of a button has far-reaching consequences.

Klaus Lackner’s once wacky idea increasingly looks like an essential part of solving climate change.

Complications from preterm birth are the leading cause of death worldwide in children under five.

We sat down to talk about breakthrough technologies, China, and reasons to be cheerful with this issue’s guest editor.

We asked Gates to choose this year’s list of inventions that will change the world for the better.

Futurist and NYU professor Amy Webb on an impending artificial intelligence catastrophe—and why there’s still hope it can be averted.

A novel dementia treatment will flood people’s brains with a low-risk version of a key gene.

New research suggests that a controversial gene-editing experiment to make children resistant to HIV may also have enhanced their ability to learn and form memories.

Creativity is, and always will be, a human endeavor.

After failing to claim the Lunar X Prize (which, to be fair, everyone did), the Israeli firm SpaceIL could have a rover on lunar soil in a little over a month.

Questionable DNA “talent” tests find a market in up-and-coming Shenzhen.

Women’s health care is often treated as all about reproduction. Some “femtech” startups are exploring the innovations that get overlooked as a result.

The language model can write like a human, but it doesn’t have a clue what it’s saying.

The biggest impact of artificial intelligence will be to help humans make discoveries we couldn’t make on our own.

Fed with billions of words, this algorithm creates convincing articles and shows how AI could be used to fool people on a mass scale.

Service in the rural areas of the state is abysmal, which makes it the perfect place to test next-generation satellite internet.

For many companies, deploying AI is slower and more expensive than it might seem.

Are tired-out cells what make people old? A new generation of drugs is designed to wipe them out.

After decades of promises, personal air vehicles are finally getting close to commercial reality—but you still probably won’t own one

The genetic genie is out of the bottle. And it’s not going back.

Five things you need to know about 5G, the next generation of wireless tech that’s fueling tensions between the US and China.

The proposal is ambitious, wide-ranging, and somewhat pragmatic about technology’s role. But whether it will ever see the light of day is unclear.

The university wants to learn what ties its faculty members had to He Jiankui, the researcher who created gene-edited humans.

Forget Go or StarCraft—guessing the phrase behind a drawing will require machines to gain some understanding of the way concepts fit together in the real world.

Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren’t designed to detect it.

Cryptocurrency, biohacking, and the fantastic plan for transgenic humans.

Grin, a strange new coin that runs on a technology called MimbleWimble, has captured the blockchain world’s imagination.

Industrial machines could be trained to be less clumsy if we gave them a sense of touch and a better sense of real-world physics.

Three new studies propose ways to make algorithms better at identifying people in different demographic groups. But without regulation, that won’t curb the technology’s potential for abuse.

Our study of 25 years of artificial-intelligence research suggests the era of deep learning is coming to an end.

Swedish startup Mapillary is compiling a huge database of roadside objects such as signs and markings to help driverless vehicles get around.

The world’s largest experiment in using blockchain-based networks to pay for things is about to begin.

Advocates hope the proposal will inspire voters, but that’s no reason it has to ignore the latest research.

Algorithms are best at pursuing a single mathematical objective—but humans often want multiple incompatible things.

Nvidia’s new robotics lab will see if robots can learn to fetch the ketchup, load the dishwasher, and—eventually—make a cake.

New research finds we’d need to immediately stop building fossil-fuel-burning vehicles, planes, and factories.