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Google’s DeepMind unit develops AI that predicts 3D layouts from partial images
Google’s DeepMind unit, the same division that created AlphaGo, an AI that outplayed the best Go player in the world, has created a neural network capable of rendering an accurate 3D environment from just a few still images, filling in the gaps with an AI form of perceptual intuition.
According to Google’s official DeepMind blog, the goal of its recent AI project is to make neural networks easier and simpler to train. Today’s most advanced AI-powered visual recognition systems are trained through the use of large datasets comprised of images that are human-annotated. This makes training a very tedious, lengthy, and expensive process, as every aspect of every object in each scene in the dataset has to be labeled by a person.
The DeepMind team’s new AI, dubbed the Generative Query Network (GQN) is designed to remove this dependency on human-annotated data, as the GQN is designed to infer a space’s three-dimensional layout and features despite being provided with only partial images of a space.
Similar to babies and animals, DeepMind’s GQN learns by making observations of the world around it. By doing so, DeepMind’s new AI learns about plausible scenes and their geometrical properties even without human labeling. The GQN is comprised of two parts — a representation network that produces a vector describing a scene and a generation network that “imagines” the scene from a previously unobserved viewpoint. So far, the results of DeepMind’s training for the AI have been encouraging, with the GQN being able to create representations of objects and rooms based on just a single image.
As noted by the DeepMind team, however, the training methods that have been used for the development of the GQN are still limited compared to traditional computer vision techniques. The AI creators, however, remain optimistic that as new sources of data become available and as improvements in hardware get introduced, the applications for the GQN framework could move over to higher-resolution images of real-world scenes. Ultimately, the DeepMind team believes that the GQN could be a useful system in technologies such as augmented reality and self-driving vehicles by giving them a form of perceptual intuition – extremely desirable for companies focused on autonomy, like Tesla.
Google DeepMind’s GQN AI in action. [Credit: Google DeepMind]
In a talk at Train AI 2018 last May, Tesla’s head of AI Andrej Karpathy discussed the challenges involved in training the company’s Autopilot system. Tesla trains Autopilot by feeding the system with massive data sets from the company’s fleet of vehicles. This data is collected through means such as Shadow Mode, which allows the company to gather statistical data to show false positives and false negatives of Autopilot software.
During his talk, Karpathy discussed how features such as blinker detection become challenging for Tesla’s neural network to learn, considering that vehicles on the road have their turn signals off most of the time and blinkers have a high variability from one car brand to another. Karpathy also discussed how Tesla has transitioned a huge portion of its AI team to labeling roles, doing the human annotation that Google DeepMind explicitly wants to avoid with the GQN.
Musk also mentioned that its upcoming all-electric supercar — the next-generation Tesla Roadster — would feature an “Augmented Mode” that would enhance drivers’ capability to operate the high-performance vehicle. With Tesla’s flagship supercar seemingly set on embracing AR technology, the emergence of new techniques for training AI such as Google DeepMind’s GQN would be a perfect fit for the next generation of vehicles about to enter the automotive market.
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Tesla Cybercab ramps Robotaxi public street testing as vehicle enters mass production queue
Recent sightings on public roads and growing fleet activity at Giga Texas signal Tesla’s accelerating push toward the Cybercab’s commercial launch.
Tesla Cybercab is being spotted with increasing frequency both on public roads and across the grounds of Gigafactory Texas, suggesting that the company’s road testing and validation program is ramping meaningfully ahead of mass production.
A total of 25 Cybercab units were recently observed across three separate locations at Giga Texas by drone observer Joe Tegtmeyer — with 14 metallic gold units parked in a tight formation outside the factory exit, nine more at the crash testing facility undergoing structural and safety validations, and two additional units at the west end-of-line area for final checks.
The activity on public roads is just as telling. The Cybercab was spotted testing on public roads for the first time last October, near Tesla’s Engineering Headquarters in Los Altos, California, marking a significant development in the vehicle’s progression toward commercial readiness. As expected at that early stage, a safety driver was present in the seat.
Since then, sightings have only become more frequent. Community observers on X have posted fresh footage of Cybercabs navigating public streets in Silicon Valley, with each new clip adding to a growing body of evidence that Tesla’s validation efforts are well underway. The production backdrop supports the momentum. Tesla’s production line at Giga Texas moved into a higher volume early in March, representing what observers are calling the largest single-day grouping of Cybercabs seen to date.
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- Tesla Cybercab spotted in San Jose, CA testing on public roads with Robotaxi validation equipment [Credit: Nic Cruz Patane via X]
![Tesla Cybercab spotted testing on public roads in Los Gatos, CA - March 10, 2026 [Credit: Osmad Sarood via X]](https://www.teslarati.com/wp-content/uploads/2026/03/tesla-cybercab-public-road-testing-823x1024.jpg)
Tesla Cybercab spotted testing on public roads in Los Gatos, CA – March 10, 2026 [Credit: Osman Sarood via X]
Tesla ramps Cybercab test manufacturing ahead of mass production
Musk has also stated that Tesla is aiming for at least 2 million Cybercab units per year across more than one factory, with a potential ceiling of 4 million annually.
With testing activity on public roads accelerating and factory output visibly increasing week over week, the coming months at Giga Texas are set to be pivotal in determining how quickly Tesla can bring the Cybercab from validation to volume.
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Tesla opens Supercharging Network to other EVs in new country
Tesla’s Supercharging infrastructure is the most robust in the world, and it has done a wonderful job of keeping things up and running for the millions of owners out there. As it expanded access to non-Tesla EVs a couple years back, it has still managed to keep things pretty steady, although the need for more charging is apparent.
Tesla has started opening its Supercharging Network, which is the most expansive in the world, to other EVs in a new country for the first time.
After expanding its Supercharging offerings to other car companies in the United States a few years ago, Tesla is still making the move in other markets, as it aims to make EV ownership easier for everyone, regardless of what manufacturer a consumer chose to purchase from.
Tesla’s Supercharging infrastructure is the most robust in the world, and it has done a wonderful job of keeping things up and running for the millions of owners out there. As it expanded access to non-Tesla EVs a couple years back, it has still managed to keep things pretty steady, although the need for more charging is apparent.
Tesla just added a cool new feature for leaving your charger at home or even leaving the Supercharger pic.twitter.com/iw0SDrWuX6
— TESLARATI (@Teslarati) March 10, 2026
Now, Tesla is expanding access to the Supercharger Network to non-Tesla EVs in Malaysia. The automaker just opened up a charging stie at the Pavilion KL Mall in Kuala Lumpur to non-Tesla owners, giving them eight additional Superchargers to utilize with a charging speed of up to 250 kW.
Tesla is also opening up the four-Supercharger site in Shah Alam, a four-Supercharger site at the IOI City Mall, and a six-Supercharger site in Gamuda Cove Township.
Electrive first reported the opening of these Superchargers in Malaysia.
The initiative from Tesla helps make EV ownership much simpler for those who only have access to third-party charging solutions or at-home charging. While at-home charging is the most advantageous, it is not an end-all solution as every driver will eventually need to grab some range on the road.
Tesla has been offering its Superchargers to non-Tesla EVs in the United States since 2024, as Ford became the first company to gain access to the massive network early that year when CEO Elon Musk and Ford frontman Jim Farley announced it together. Since then, Tesla has offered its chargers to nearly every EV maker, as companies like Rivian and Lucid, and even legacy car companies like General Motors have gained access.
It’s best for everyone to have the ability to use Tesla Superchargers, but there are of course some growing pains.
Charging cables are built to cater to Tesla owners, so pull-in Superchargers are most advantageous for non-Tesla EVs currently, but the company’s V4 Superchargers, which are not as plentiful in the U.S. quite yet, do enable easier reach for those vehicles.
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Tesla Semi expands pilot program to Texas logistics firm: here’s what they said
Mone said the Tesla Semi it put into its fleet for this test recorded 1.64 kWh per mile efficiency, beating Tesla’s official 1.7 kWh per mile target and delivering a massive leap over conventional diesel trucks.
Tesla has expanded its Semi pilot program to a new region, as it has made it to Texas to be tested by logistics from Mone Transport. With the Semi entering production this year, Tesla is getting even more valuable data regarding the vehicle and its efficiency, which will help companies cut expenditures.
Mone Transport operates in Texas and on the Southern border, and it specializes in cross-border U.S.-Mexico freight operations. After completing some rigorous testing, Mone shared public results, which stand out when compared to efficiency metrics offered by diesel vehicles.
“Mone Transport recently had the opportunity to put the Tesla Semi to the test, and we’re thrilled with the results! Over 4,700 miles of operations at 1.64 kWh/mile in our Texas operation. We’re committed to providing zero-emission transportation to our customers!” the company said in a post on X.
🚨 Mone Transport just recorded an extremely impressive Tesla Semi test:
1.64 kWh per mile over 4,700 miles! https://t.co/xwS2dDeomP pic.twitter.com/oLZHoQgXsu
— TESLARATI (@Teslarati) March 10, 2026
Mone said the Tesla Semi it put into its fleet for this test recorded 1.64 kWh per mile efficiency, beating Tesla’s official 1.7 kWh per mile target and delivering a massive leap over conventional diesel trucks.
Comparable Class 8 diesel semis, typically achieving 6-7 miles per gallon, consume roughly 5.5 kWh per mile in energy-equivalent terms, meaning the Semi uses three to four times less energy while also producing zero tailpipe emissions.
Tesla Semi undergoes major redesign as dedicated factory preps for deliveries
The performance of the Tesla Semi in Mone Transport’s testing aligns with data from other participants in the pilot program. ArcBest’s ABF Freight Division logged 4,494 miles over three weeks in 2025, averaging 1.55 kWh per mile across varied routes, including a grueling 7,200-foot Donner Pass climb. The truck “generally matched the performance of its diesel counterparts,” the carrier said.
PepsiCo, which operates the largest known Semi fleet, recorded 1.7 kWh per mile in North American Council for Freight Efficiency testing. Additional pilots showed similar gains: DHL hit 1.72 kWh per mile, and Saia achieved 1.73 kWh per mile.
These metrics underscore the Semi’s ability to slash operating costs through superior efficiency, lower maintenance, and zero-emission operation. As charging infrastructure scales and production ramps toward 2026 targets, participants like Mone Transport are proving electric semis can seamlessly integrate into freight networks, accelerating the industry’s shift to sustainable, high-performance trucking.
Tesla continues to prep for a more widespread presence of the Semi in the coming months as it recently launched the first public Semi Megacharger site in Los Angeles. It is working on building out infrastructure for regional runs on the West Coast initially, with plans to expand this to the other end of the country in the coming years.
Tesla Cybercab ramps Robotaxi public street testing as vehicle enters mass production queue
Tesla opens Supercharging Network to other EVs in new country
