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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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Tesla’s new Cybertruck trim gets the axe less than 24 hours after launch

It appears as if the new All-Wheel-Drive trim of Cybertruck won’t be around for too long, however. Elon Musk revealed this morning that it will be around “only for the next 10 days.”

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(Credit: Tesla)

Tesla’s new Cybertruck trim has already gotten the axe from CEO Elon Musk, who said the All-Wheel-Drive configuration of the all-electric pickup will only be available “for the next ten days.”

This means it has already met its demise less than 24 hours after the company initiated orders for it.

Last night, Tesla launched the All-Wheel-Drive configuration of the Cybertruck, a pickup that comes in at less than $60,000 and features a competitive range and features that are not far off from the offerings of the premium trim.

Tesla launches new Cybertruck trim with more features than ever for a low price

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It was a nice surprise from Tesla, considering that last year, it offered a Rear-Wheel-Drive trim of the Cybertruck that only lasted a few months. It had extremely underwhelming demand because it was only $10,000 cheaper than the next trim level up, and it was missing a significant number of premium features.

Simply put, it was not worth the money. Tesla killed the RWD Cybertruck just a few months after offering it.

With the news that Tesla was offering this All-Wheel-Drive configuration of the Cybertruck, many fans and consumers were encouraged. The Cybertruck has been an underwhelming seller, and this seemed to be a lot of truck for the price when looking at its features:

  • Dual Motor AWD w/ est. 325 mi of range
  • Powered tonneau cover
  • Bed outlets (2x 120V + 1x 240V) & Powershare capability
  • Coil springs w/ adaptive damping
  • Heated first-row seats w/ textile material that is easy to clean
  • Steer-by-wire & Four Wheel Steering
  • 6’ x 4’ composite bed
  • Towing capacity of up to 7,500 lbs
  • Powered frunk

It appears as if this trim of Cybertruck won’t be around for too long, however. Musk revealed this morning that it will be around “only for the next 10 days.”

The decision is baffling, especially as Tesla fans and analysts claim that metrics like quarterly deliveries are no longer important. This seems like a way to boost sales short-term, and if so many people are encouraged about this offering, why would it be kept around for such a short period of time?

Some are even considering the potential that Tesla axes the Cybertruck program as a whole. Although Musk said during the recent Q4 Earnings Call that Cybertruck would still be produced, the end of the Model S and Model X programs indicates Tesla might be prepared to do away with any low-volume vehicles that do not contribute to the company’s future visions of autonomy.

The decision to axe the car just ten days after making it available seems like a true head-scratcher.

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Elon Musk’s Neuralink sparks BCI race in China

One of the most prominent is NeuroXess, which launched in 2021 and is already testing implants in patients.

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Credit: Neuralink

Neuralink, founded by Elon Musk, is helping spark a surge of brain-computer interface (BCI) development in China, where startups are moving quickly into human trials with strong state backing. 

One of the most prominent is NeuroXess, which launched in 2021 and is already testing implants in patients.

Neuralink’s clinical work and public demonstrations have drawn worldwide attention to invasive brain implants that allow patients to control digital devices using their minds. The company is currently running a global clinical trial and is also busy preparing for its next product, Blindsight, which would restore vision to people with visual impairments.

Neuralink’s visibility has helped accelerate similar efforts in China. Beijing last year classified brain-computer interfaces as a strategic sector and issued a roadmap calling for two or three globally competitive companies by 2030, as per the Financial Times. Since February last year, at least 10 clinical trials for invasive brain chips have launched in the country.

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NeuroXess recently reported that a paralyzed patient was able to control a computer cursor within five days of implantation. Founder Tiger Tao credited government support for helping shorten the path from research to trials.

Investment activity has followed the policy push. Industry data show dozens of financing rounds for Chinese BCI startups over the past year, reflecting rising capital interest in the field. Ultimately, while Neuralink remains one of the most closely watched players globally, its momentum has clearly energized competitors abroad.

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Tesla Supercharger vandalized with frozen cables and anti-Musk imagery amid Sweden union dispute

The incident comes amid Tesla’s ongoing labor dispute with IF Metall.

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Credit: Tesla Charging/X

Tesla’s Supercharger site in Vansbro, Sweden, was vandalized during peak winter travel weeks. Images shared to local media showed frozen charging cables and a banner reading “Go home Elon,” which was complete with a graphic of Musk’s controversial gesture. 

The incident comes amid Tesla’s ongoing labor dispute with IF Metall, which has been striking against the company for more than two years over collective bargaining agreements, as noted in a report from Expressen.

Local resident Stefan Jakobsson said he arrived at the Vansbro charging station to find a board criticizing Elon Musk and accusing Tesla of strikebreaking. He also found the charging cables frozen after someone seemingly poured water over them.

“I laughed a little and it was pretty nicely drawn. But it was a bit unnecessary,” Jakobsson said. “They don’t have to do vandalism because they’re angry at Elon Musk.”

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The site has seen heavy traffic during Sweden’s winter sports holidays, with travelers heading toward Sälen and other mountain destinations. Jakobsson said long lines formed last weekend, with roughly 50 Teslas and other EVs waiting to charge.

Tesla Superchargers in Sweden are typically open to other electric vehicle brands, making them a reliable option for all EV owners. 

Tesla installed a generator at the location after sympathy strikes from other unions disrupted power supply to some stations. The generator itself was reportedly not working on the morning of the incident, though it is unclear whether that was connected to the protest.

The dispute between Tesla and IF Metall centers on the company’s refusal to sign a collective agreement covering Swedish workers. The strike has drawn support from other unions, including Seko, which has taken steps affecting electricity supply to certain Tesla facilities. Tesla Sweden, for its part, has insisted that its workers are already fairly compensated and it does not need a collective agreement,

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Jesper Pettersson, press spokesperson for IF Metall, criticized Tesla’s use of generators to keep charging stations running. Still, IF Metall emphasized that it strongly distances itself from the vandalism incident at the Vansbro Supercharger.

“We think it is remarkable that instead of taking the easy route and signing a collective agreement for our members, they are choosing to use every possible means to get around the strike,” Pettersson said.

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