Skip to Content
Silicon Valley

Facebook is buying a startup that makes a wristband to control computers with a twitch

September 24, 2019
CTRL-labs' prototypes
CTRL-labs' prototypesCTRL-labs

CTRL-labs is working on “noninvasive neural interface platform” that lets people control machines using a wristband.

The news: Facebook has agreed to buy CTRL-labs, a New York–based startup that is working on methods for people to communicate with computers using brain signals. The deal is worth between $500 million to $1 billion, according to CNBC.

The company: CTRL-labs launched four years ago. There isn’t a ton of public information about its technology and its research, but it claims it has made a wristband that can turn signals sent from your spinal cord to your wrist into input for a computer. How well it works remains to be seen. Brain-computer interfaces of the sort used by people who are paralyzed typically require a lot of training to work effectively, and even then they are sluggish and prone to errors. Elon Musk’s Neuralink is trying something similar, but its interface is actually fitted inside the user’s brain.

What? It might seem a strange acquisition for a social-media company, but in fact, it makes a lot of sense. In July, Facebook revealed it has been financing extensive university research on human volunteers. It’s trying to develop “speech decoders” that can figure out what people want to say by analyzing their brain signals. Whether the public at large will be comfortable with Facebook reading minds remains to be seen. 

Correction: This story originally stated the deal was worth $1 billion, but the correct figure is $500 million to $1 billion, according to CNBC. 

This story first appeared in our daily newsletter The Download. Sign up here to get your dose of the latest must-read news from the world of emerging tech.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.