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Google’s DeepMind unit develops AI that predicts 3D layouts from partial images

[Credit: Google DeepMind]

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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.

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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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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceX’s triple-rocket that launched a Tesla into space is back on a mission

SpaceX Falcon Heavy returns after 18 months away to deliver a satellite that only it could carry.

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After an 18-month absence, SpaceX’s Falcon Heavy is returning to mission on Monday morning when it’s scheduled to lift off from Launch Complex 39A at Kennedy Space Center at 10:21 a.m. EDT.

The mission is called ViaSat-3 F3, and the heavy satellite payload needs to reach geostationary orbit, sitting 22,236 miles above Earth where its speed matches the planet’s rotation. Getting a satellite that heavy to that altitude demands more thrust than a single-core Falcon 9 can deliver.

This marks the Falcon Heavy’s 12th flight overall since its debut in February 2018, and its first since NASA’s Europa Clipper mission in October 2024.

Arguably, the most exciting element for spectators will be watching the booster recoveries in action when the two side boosters, B1072 and B1075, will attempt simultaneous landings at Landing Zone 2 and the newer Landing Zone 40 at Cape Canaveral Space Force Station, while the center core will be expended over the ocean.

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SpaceX wins its first MARS contract but it comes with a catch

Following satellite deployment, expected roughly five hours after launch, ViaSat-3 F3 will spend several months traveling to its final orbital slot before undergoing in-orbit testing, with service entry expected by late summer 2026

As Teslarati reported, NASA awarded SpaceX a $175.7 million contract on April 16, 2026 to launch the ESA Rosalind Franklin Mars rover aboard a Falcon Heavy no earlier than late 2028, which would mark the first time SpaceX has ever sent a payload to Mars. That contract came on top of an already deep pipeline that includes the Roman Space Telescope, the Dragonfly Saturn mission, and multiple national security payloads.

SpaceX executed 165 missions in 2025 and now accounts for approximately 85% of all global orbital launches. With Starlink surpassing 10 million subscribers and an IPO targeting a $1.75 trillion valuation still ahead, Monday’s launch is one more data point in a company that has quietly become the backbone of both commercial and government space access worldwide.

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Tesla launches solution to end Supercharger fights once and for all

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Credit: Tesla

Tesla is launching its solution to end Supercharger fights once and for all, eliminating any confusion on who is to charge next at a congested location.

Last year, a notable incident at a Tesla Supercharger led to a fight, and it all stemmed from a disagreement over who arrived at the location first.

Congestion at Tesla Superchargers is a pretty infrequent occurrence for most of us, but there are more congested and popular areas where wait times can be extensive. An unfortunate growing pain of EV ownership is the plain fact that chargers are not as available as gas pumps, and there are, at times, lines to charge.

This can cause tensions to flare and people to get entitled when visiting Superchargers. Nobody wants to spend hours at a Supercharger, but now, there will be no more confusion when there is a queue, and that’s thanks to Tesla’s new Virtual Queue for Superchargers.

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Tesla is finally starting to build out the Virtual Supercharger Queue, according to Not a Tesla App, but it still relies on drivers to make it work.

When a driver is near a Supercharger that is full, a message will pop up on the Tesla App, using the driver’s location to determine their eligibility to join the virtual queue.

The app states:

“While the app is closed, Tesla uses your location to notify you of accurate wait times at Superchargers when you arrive.”

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Another message within the app states:

“There is a waitlist to charge. Are you sure you want to start a charging session now?”

This sounds as if it will require drivers to act appropriately and only plug in when the app prompts them to do so, by letting them know it is their turn.

The app will notify the driver of their position in the queue, as well as how many vehicles are ahead of them.

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Tesla launches first ‘true’ East Coast V4 Supercharger: here’s what that means

The company announced a while back that it would be working on a solution for this issue. Personally, I’ve only had to wait at a Supercharger for a charge on one occasion, and there was a line of between 3 and 10 cars during this singular occurrence.

There were no conflicts or arguments about who had arrived first, but there was some discussion between several drivers during my time there about who was to charge first. Throw a non-Tesla EV into the mix, one that can only charge at a pull-in spot, and that causes even more of a complication.

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Tesla offers awesome Free Supercharging incentive on an unexpected vehicle

In the past, Tesla has used Free Supercharging to incentivize the purchase of its expensive vehicles, like the Model S and Model X. However, those vehicles are leaving the company lineup, and Tesla saw a benefit from applying the incentive to another car.

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Credit: Tesla Charging | X

Tesla is offering an awesome new Free Supercharging incentive on a vehicle that is sort of unexpected.

In the past, Tesla has used Free Supercharging to incentivize the purchase of its expensive vehicles, like the Model S and Model X. However, those vehicles are leaving the company lineup, and Tesla saw a benefit from applying the incentive to another car.

Tesla North America has introduced a compelling new incentive aimed at boosting Model 3 sales. Starting with orders placed on or after April 24, buyers of the Model 3 Premium (Long Range) and Performance variants in the United States will receive one full year of complimentary Supercharging.

The offer applies exclusively to new vehicle orders and does not extend to existing owners or other trims like the base Rear-Wheel Drive model.

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The announcement underscores Tesla’s continued dominance in EV charging infrastructure.

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While the incentive provides 12 months of zero-cost access to the Supercharger network, Tesla also reiterated its pricing structure: all Tesla vehicles receive the lowest Supercharging rates.

Non-Tesla EVs, by contrast, pay approximately 40 percent more per kWh or must purchase a subscription to access the network at standard rates. This tiered approach highlights the strategic value of owning a Tesla, where seamless integration with the world’s largest and most reliable fast-charging network remains a key differentiator.

For prospective buyers, the savings can be substantial. Depending on driving habits, a typical Model 3 owner might log 12,000–15,000 miles annually.

With average Supercharging costs around $0.40–$0.50 per kWh, one year of free sessions could translate to $800–$1,200 in avoided expenses.

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That effectively lowers the total cost of ownership and makes long-distance travel more affordable from day one. Early delivery customers have already noted similar past incentives, with one Cybertruck owner reporting over $2,400 saved in just six months under similar offers that Tesla has deployed in the past.

The timing of the offer appears strategic. Tesla faces growing competition from other automakers expanding their own charging networks and offering aggressive EV incentives.

By bundling free Supercharging rather than discounting the vehicle’s MSRP, Tesla preserves perceived value while directly addressing one of the biggest barriers for new EV adopters: charging costs and convenience.

The move also encourages higher-mileage use of the network, generating valuable real-world data for Tesla’s autonomous driving development.

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Why Tesla would apply this incentive to the Model 3 is pretty interesting. It usually is a pretty good incentive to move units out the door, so there’s some speculation whether Tesla is planning to launch new upgrades to the mass-market sedan in the coming months, and the company wants to move what will be outdated units from its inventory.

However, there is also just the idea that Tesla could be attempting to stimulate some early quarter demand for the Model 3, especially as the Model Y continues to sell very well. Tesla’s loss of the $7,500 EV tax credit last year had an impact on sales, and Tesla might be testing some formidable options to see if it can add some demand once again.

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