MIT Technology Review

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.

Mainstream online legal services are getting serious about using crypto to automate bits of what they do—and lower the bar to entry for us all.

Generative adversarial networks are not just good for causing mischief. They can also show us how AI algorithms “think.”

Cities sometimes fail to make sure the technologies they adopt are accessible to everyone. Activists and startups are working to change that.

Global companies trying to tap into Tel Aviv’s unique innovation ecosystem are threatening to destroy the very thing they came for.

Last year a string of controversies revealed a darker (and dumber) side to artificial intelligence.

Radar that can spot stealth aircraft and other quantum innovations could give their militaries a strategic edge.

From moon missions to crewed launches, it’s going to be an eventful year for space exploration. Strap yourself in.

After the Great Crypto Bull Run of 2017 and the monumental crash of 2018, blockchain technology won’t make as much noise in 2019. But it will become more useful.

2018 was a no good, very bad year for Silicon Valley. Here’s some of the things tech giants should commit to do next year to avoid a repeat performance.

Gene information on millions of people is revolutionizing how we predict disease, catch criminals, and find new drugs.

From gene-edited babies to guaranteed-fatal brain uploads, it was a bumper year for technology misfires and misuses.

A year ago, Bitcoin and its brethren were headed to the moon. These days they’re much more grounded.

Every one of us will have a moment when global warming gets personal.

Three generations of personal and political history show the tensions between the Communist Party’s need for knowledge and its need for ideological control.

An interview with Yasheng Huang, MIT professor and expert on entrepreneurship in China.

And in the next few years it plans to launch the world’s biggest space telescope, the world’s heaviest rocket, and a space station to rival the ISS.

It used to be that while Google wanted China, China really needed Google. Not any more.

Payment apps like Alipay and WeChat transformed daily life in China. The West won’t see a similar payments revolution—and that might even be a good thing.

Shenzhen flooded the world with cheap gadgets. Can it now become what Silicon Valley never did—a global hub of innovation, entrepreneurship, and manufacturing?

The next generation of wireless technology promises much faster speeds while using less power. No wonder Beijing is throwing everything at getting there first.

China was no good at cars. Then EVs came along.

24M is reducing manufacturing costs by stripping out extraneous materials – and just got $22 million to begin building its first commercial factory.

The country has struggled for decades to build a competitive semiconductor industry. In making specialized AI chips, though, it’s got a head start.

The blockchain system has daunting technical problems to fix. But first, its disciples need to figure out how to govern themselves.