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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.
News
Tesla hasn’t adopted Apple CarPlay yet for this shocking reason
Many Apple and iPhone users have wanted the addition, especially to utilize third-party Navigation apps like Waze, which is a popular alternative. Getting apps outside of Tesla’s Navigation to work with its Full Self-Driving suite seems to be a potential issue the company will have to work through as well.
Perhaps one of the most requested features for Tesla vehicles by owners is the addition of Apple CarPlay. It sounds like the company wants to bring the popular UI to its cars, but there are a few bottlenecks preventing it from doing so.
The biggest reason why CarPlay has not made its way to Teslas yet might shock you.
According to Bloomberg‘s Mark Gurman, Tesla is still working on bringing CarPlay to its vehicles. There are two primary reasons why Tesla has not done it quite yet: App compatibility issues and, most importantly, there are incredibly low adoption rates of iOS 26.
Tesla’s Apple CarPlay ambitions are not dead, they’re still in the works
iOS 26 is Apple’s most recent software version, which was released back in September 2025. It introduced a major redesign to the overall operating system, especially its aesthetic, with the rollout of “Liquid Glass.”
However, despite the many changes and updates, Apple users have not been too keen on the iOS 26 update, and the low adoption rates have been a major sticking point for Tesla as it looks to develop a potential alternative for its in-house UI.
It was first rumored that Tesla was planning to bring CarPlay out in its cars late last year. Many Apple and iPhone users have wanted the addition, especially to utilize third-party Navigation apps like Waze, which is a popular alternative. Getting apps outside of Tesla’s Navigation to work with its Full Self-Driving suite seems to be a potential issue the company will have to work through as well.
According to the report, Tesla asked Apple to make some changes to improve compatibility between its software and Apple Maps:
“Tesla asked Apple to make engineering changes to Maps to improve compatibility. The iPhone maker agreed and implemented the adjustments in a bug fix update to iOS 26 and the latest version of CarPlay.”
Gurman also said that there were some issues with turn-by-turn guidance from Tesla’s maps app, and it did not properly sync up with Apple Maps during FSD operation. This is something that needs to be resolved before it is rolled out.
There is no listed launch date, nor has there been any coding revealed that would indicate Apple CarPlay is close to being launched within Tesla vehicles.
Elon Musk
Starlink restrictions are hitting Russian battlefield comms: report
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
SpaceX’s decision to disable unauthorized Starlink terminals in Ukraine is now being felt on the battlefield, with Ukrainian commanders reporting that Russian troops have struggled to maintain assault operations without access to the satellite network.
The restrictions have reportedly disrupted Moscow’s drone coordination and frontline communications.
Lt. Denis Yaroslavsky, who commands a special reconnaissance unit, stated that Russian assault activity noticeably declined for several days after the shutdown. “For three to four days after the shutdown, they really reduced the assault operations,” Yaroslavsky said.
Russian units had allegedly obtained Starlink terminals through black market channels and mounted them on drones and weapons systems, despite service terms prohibiting offensive military use. Once those terminals were blocked, commanders on the Ukrainian side reported improved battlefield ratios, as noted in a New York Post report.
A Ukrainian unit commander stated that casualty imbalances widened after the cutoff. “On any given day, depending on your scale of analysis, my sector was already achieving 20:1 (casuality rate) before the shutdown, and we are an elite unit. Regular units have no problem going 5:1 or 8:1. With Starlink down, 13:1 (casualty rate) for a regular unit is easy,” the unit commander said.
The restrictions come as Russia faces heavy challenges across multiple fronts. A late January report from the Center for Strategic and International Studies estimated that more than 1.2 million Russian troops have been killed, wounded, or gone missing since February 2022.
The Washington-based Institute for the Study of War also noted that activity from Russia’s Rubikon drone unit declined after Feb. 1, suggesting communications constraints from Starlink’s restrictions may be limiting operations. “I’m sure the Russians have (alternative options), but it takes time to maximize their implementation and this (would take) at least four to six months,” Yaroslavsky noted.
Elon Musk
Tesla Korea hiring AI Chip Engineers amid push for high-volume AI chips
Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”
In a recent post on X, Tesla Korea announced that it is hiring AI Chip Design Engineers as part of a project aimed at developing what the company describes as the world’s highest-volume AI chips. CEO Elon Musk later amplified the initiative.
Tesla Korea stated that it is seeking “talented individuals to join in developing the world’s highest-level mass-produced AI chips.”
“This project aims to develop AI chip architecture that will achieve the highest production volume in the world in the future,” Tesla Korea wrote in its post on X.
As per Tesla Korea, those who wish to apply for the AI Chip Design Engineer post should email Ai_Chips@Tesla.com and include “the three most challenging technical problems you have solved.”
Elon Musk echoed the hiring push in a separate post. “If you’re in Korea and want to work on chip design, fabrication or AI software, join Tesla!” he wrote.
The recruitment effort in South Korea comes as Tesla accelerates development of its in-house AI chips, which power its Full Self-Driving (FSD) system, Optimus humanoid robot, and data center training infrastructure.
Tesla has been steadily expanding its silicon development teams globally. In recent months, the company has posted roles in Austin and Palo Alto for silicon module process engineers across lithography, etching, and other chip fabrication disciplines, as noted in a Benzinga report.
Tesla Korea’s hiring efforts align with the company’s long-term goal of designing and producing AI chips at massive scale. Musk has previously stated that Tesla’s future AI chips could become the highest-volume AI processors in the world.
The move also comes amid Tesla’s broader expansion into AI initiatives. The company recently committed about $2 billion into xAI as part of a Series E funding round, reinforcing its focus on artificial intelligence across vehicles, robotics, and compute infrastructure.
Tesla hasn’t adopted Apple CarPlay yet for this shocking reason
Starlink restrictions are hitting Russian battlefield comms: report
