Skip to Content
Uncategorized

Alibaba is developing its own driverless cars

April 16, 2018

The Chinese tech giant comes to the self-driving game later than rivals Baidu and Tencent but says it will build an entire ecosystem around autonomous cars.

The news: Alibaba confirmed today that it’s testing its own self-driving technology. The effort is led by Gang Wang, a scientist at the company’s AI lab and one of MIT Technology Review’s 35 Innovators Under 35 in 2017.

Backstory: This isn’t Alibaba's first dalliance with the auto industry. Early this year, it invested in Xiaopeng Motors, a startup developing electric cars. It also formed a partnership with Chinese carmaker SAIC to build internet-connected vehicles and associated infrastructure.

More than cars: Alibaba says it has bigger ambitions than just robotic taxis. In June 2016, the company launched an AI-powered “city brain” system in Hangzhou, where it’s headquartered, to crunch data from mapping apps and increase traffic efficiency. Simon Hu, the president of Alibaba Cloud, says the firm’s ultimate goal is to produce the kind of autonomous driving that uses such data to help integrate transportation into urban infrastructure.

Why it matters: China is scrambling to compete with America in developing driverless cars as quickly as possible. This news is another sign that it really means business.

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.

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.

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.

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.