MIT Technology Review

Scientists fear a crackdown on embryo research if President Trump pays attention to scientific advances.

Yasmin Green, head of R&D for Alphabet’s Jigsaw, is using technology in hopes of making the world a better place. It’s not easy.

An AI system that started as a way to fight parking tickets will, by the end of this year, allow you to sue anyone.

AI is coming for jobs, but one of the field’s masters has an idea that he thinks can help.

As we automate more and more decisions, being able to understand how an AI thinks is increasingly important.

Salesforce will start selling its online learning platform, which has helped its own employees change roles and get promotions.

The cryptocurrency’s price is soaring, but the fervor is about more than just an investment opportunity.

After a disappointing clinical trial in 2015, scientists are trying anew to mend failing hearts with a gene.

Will you be among the first to pick your kids’ IQ? As machine learning unlocks predictions from DNA databases, scientists say parents could have choices never before possible.

Augmented reality may eventually help you work. But a few days with the Meta 2 headset suggest it has a way to go.

Can a smartphone-enabled ultrasound machine become medicine’s next stethoscope?

Quantum computers will soon surpass conventional ones, but it will take time to make the machines useful.

With an energy-efficient approach to rural connectivity, Vanu Bose aims to bring cellular coverage to the 1.1 billion people who lack it.

Technology outsourcing has been India’s only reliable job creator in the past 30 years. Now artificial intelligence threatens to wipe out those gains.

MIT computer scientist Daniela Rus is dreaming up our robot-filled future.

As robots become smart enough to detect our feelings and respond appropriately, they could have something like emotions of their own. But that won’t necessarily make them more like humans.

A new MIT study finds that larger cities are more resilient to technological unemployment.

An emerging trend in artificial intelligence is to get computers to detect how we’re feeling and respond accordingly. They might even help us develop more compassion for one another.

Tristan Harris thinks big tech is taking advantage of us all. Can its power be used for good?

Science and marketing clash in the “jungle” of direct-to-consumer DNA apps.

Automating machine learning will make the technology more accessible to non–AI experts.

Energy experts believe that blockchain technology can solve a maze of red tape and data management problems.

AI is only loosely modeled on the brain. So what if you wanted to do it right? You’d need to do what has been impossible until now: map what actually happens in neurons and nerve fibers.

Next up, predicting human speech with a brain-computer interface.

The West shouldn’t fear China’s artificial-intelligence revolution. It should copy it.

At Stanford and Google, Fei-Fei Li is leading the development of artificial intelligence—and working to diversify the field.

Can genetic modification appeal to consumers? A new apple will test the market.

Mistaken extrapolations, limited imagination, and other common mistakes that distract us from thinking more productively about the future.

Hackers are using old tricks and new cryptocurrencies to turn stolen computing power into digital coins.

At least 15 community colleges offer them, but it’s not clear how many students parlay their new skills into jobs.

The goal is to use AI to keep you healthy. But are computers really smart enough to make sense of all that data?

An audacious Chinese entrepreneur wants to test your body for everything. But are computers really smart enough to make sense of all that data?

Soon you may be able to let your kid watch a video on your phone while you look at Facebook.

Just about every AI advance you’ve heard of depends on a breakthrough that’s three decades old. Keeping up the pace of progress will require confronting AI’s serious limitations.

Maryland and New York still restrict who can order genetic tests and how companies can market them.

Stewart Butterfield talks about how machine learning can help your work productivity.

Bitcoin-like money may emerge in countries where cash is in decline or financial networks need updating.

Scientists are investigating a range of different delivery mechanisms for the gene-editing tool, from topical gels to skin grafts.

Scientists are hopeful they can inject the gene-editing technology directly into the ear to stop hereditary deafness.

A startup called iSee thinks a new approach to AI will make self-driving cars better at dealing with unexpected situations.

The sensor makes it possible to track the movements and actions of workers inside a factory or warehouse.

Future generations will scoff at your passcode.

Stem cells can be coaxed to self-assemble into structures resembling human embryos.

Stem cells can be coaxed to self-assemble into structures resembling human embryos.

The prosthesis could help more people who have lost their vision than a device already on the market.

Decentralized databases promise to revolutionize medical records, but not until the health-care industry buys in to the idea and gets to work.

iFlytek’s voice recognition technology is everywhere in China, and that’s what’s making it smarter every day.

The iPhone was fantastic when it was released in 2007. A lot has changed since then.

A radiative cooling technology could help cut energy consumption in new buildings by nearly 70 percent—and significantly shave demand in existing structures, too.

Your videoconferences are going to become far more productive.