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Google is using A.I. to reduce idling time at traffic intersections

A new research project from Google has been able to reduce gas emissions and wait times at intersections by 10% to 20%.

Tuesday’s Sustainable with Google event revealed information on a research project that is using A.I. to reduce the amount of time spent sitting at traffic lights. A series of pilot projects in Israel improved the timing at intersections, enabling Google to reduce fuel consumption and intersection delays by 10% to 20%. Not only does that help local air quality, but it’s also helping folks get to work more quickly.

This has been done by calculating the relationship between traffic conditions and light timing within a reasonable level of accuracy, then building an A.I. model based on that data. Though these pilot projects were conducted in Israel, Google is looking to have another go in Rio de Janeiro and other major cities around the world.

That’s not the only sustainability research Google has been working on through its Environmental Insights Explorer. The goal with this program is to help more than 500 cities cut 1 gigaton of carbon emissions by 2030. Tree Canopy Insights uses A.I. mapping to help communities figure out which areas have enough trees and which areas need more trees planted in them.

The vast majority of A.I. research in the automotive sphere tends to be focused on the cars themselves, particularly in terms of autonomous driving, but applying this technology to traffic lights also has the potential to increase safety on the roads. Lower-tech solutions, like roundabouts, could provide equivalent gains, but in places where such an overhaul isn’t practical, making the lights a little more intelligent could be a viable improvement. Hopefully, smart cars will eventually be able to communicate with smart traffic lights to further improve the efficiencies at intersections around the world.

Projects like this could be rolled out to help cut emissions, improve fuel efficiency, and much more.

Apple won the PC market’s worst quarter, but that’s not the entire story. It won the race by stumbling less than everyone else.

PC makers shipped just 57 million computers worldwide in Q3, which might look good, but it’s a 21% year-over-year plunge (via Counterpoint Research). And despite Apple’s Mac shipments falling by 11%, to 5.6 million, its market share rose from 8.7% to 9.8%. How did that happen?

Update (October 22 23:54 PT): In response to our query, GM clarified that offline recording support is already available on eligible vehicles. Like Tesla's Sentry Mode, it requires owners to connect a USB drive to save incident recordings, which can be viewed on the vehicle's infotainment screen. The upcoming Connected Cameras feature will build on this by giving owners remote access to these recordings via the revamped OnStar app, allowing them to check footage without walking out to their car.

General Motors has announced plans to add a new Connected Cameras feature to its OnStar service starting next year, giving drivers a way to monitor parked vehicles remotely and capture footage of certain incidents.

Missing out on the self-driving future is a tough pill to swallow, especially as a car enthusiast. But that is what Tesla handed us on Wednesday, without a hint of mercy.

During its October 21, 2026 earnings call, Elon Musk told investors the Cybercab is meant mainly as a ride service. Further, nearly all of them will be owned and managed by Tesla.