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Tesla’s Neural Network adaptability to hardware highlighted in new patent application

(Credit: Tesla Driver/YouTube)

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Tesla’s developments in the artificial intelligence arena are one of the most important aspects of its current and future technology, and this includes adapting neural networks to various hardware platforms. A recent patent publication titled “System and Method for Adapting a Neural Network Model On a Hardware Platform” provides a bit of insight into how the electric car maker is taking on the challenge.

In general, a neural network is a set of algorithms designed to gather data and recognize patterns from it. The particular data being collected depends on the platform involved and what kind of information it can send to the network, i.e., cameras/image data, etc. Differences between platforms mean differences in the neural network algorithms, and adapting them is something time consuming for developers. Just as apps have to be programmed to work based on the operating system or hardware on a phone or tablet, for example, so too do neural networks. Tesla’s answer to the adaptation issue is automation (of course).

During the adaptation process of a neural network to specific hardware, decisions must be made by a software developer based on available options built into the hardware being used. Each of these options, in turn, usually requires research, hardware documentation review, and impact analysis, with each set of options chosen, eventually adding up to a configuration for the neural network to use. Tesla’s application calls these options “decision points,” and they are a vital part of how their invention functions.

Credit: Tesla/USPTO

According to the application, after plugging in a neural network model and the specific hardware platform information for adaptation, software code traverses the network to learn where the decision points are, then runs the hardware parameters against those points to provide available configurations. More specifically, the software method looks at the hardware constraints (such as processing resources and performance metrics) and generates setups for the neural network that will satisfy the requirements for it to operate correctly. From the application:

In order to produce a concrete implementation of an abstract neural network, a number of implementation decisions about one or more of system’s data layout, numerical precision, algorithm selection, data padding, accelerator use, stride, and more may be made. These decisions may be made on a per-layer or per-tensor basis, so there can potentially be hundreds of decisions, or more, to make for a particular network. Embodiments of the invention take many factors into account before implementing the neural network because many configurations are not supported by underlying software or hardware platforms, and such configurations will result in an inoperable implementation.

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Credit: Tesla/USPTO

Tesla’s invention also provides the ability to display the neural network configuration information on a graphical interface to make assessment and selection a bit more user friendly. For instance, different configurations could have different evaluation times, power consumption, or memory consumption. Perhaps an analogy for this process would be selecting configurations based on differences between Track Mode and Range Mode but instead for how you’d want your AI to work with your hardware.

This patent application looks to be one of the products of Tesla’s reported acquisition of DeepScale, an AI startup focused on Full Self Driving and designing neural networks for small devices. The listed inventor, Dr. Michael Driscoll, was a Senior Staff Engineer for DeepScale before transitioning to a Senior Software Engineer position at Tesla. Prior CEO of DeepScale, Dr. Forrest Iandola, also transitioned to Tesla as a Senior Staff Machine Learning Scientist before moving on to independent research this year.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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SpaceX weighs Nasdaq listing as company explores early index entry: report

The company is reportedly seeking early inclusion in the Nasdaq-100 index.

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Credit: SpaceX/X

Elon Musk’s SpaceX is reportedly leaning toward listing its shares on the Nasdaq for a potential initial public offering (IPO) that could become the largest in history. 

As per a recent report, the company is reportedly seeking early inclusion in the Nasdaq-100 index. The update was reported by Reuters, citing people familiar with the matter.

According to the publication, SpaceX is considering Nasdaq as the venue for its eventual IPO, though the New York Stock Exchange is also competing for the listing. Neither exchange has reportedly been informed of a final decision.

Reuters has previously reported that SpaceX could pursue an IPO as early as June, though the company’s plans could still change.

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One of the publication’s sources also suggested that SpaceX is targeting a valuation of about $1.75 trillion for its IPO. At that level, the company would rank among the largest publicly traded firms in the United States by market capitalization.

Nasdaq has proposed a rule change that could accelerate the inclusion of newly listed megacap companies into the Nasdaq-100 index.

Under the proposed “Fast Entry” rule, a newly listed company could qualify for the index in less than a month if its market capitalization ranks among the top 40 companies already included in the Nasdaq-100.

If SpaceX is successful in achieving its target valuation of $1.75 trillion, it would become the sixth-largest company by market value in the United States, at least based on recent share prices. 

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Newly listed companies typically have to wait up to a year before becoming eligible for major indexes such as the Nasdaq-100 or S&P 500.

Inclusion in a major index can significantly broaden a company’s shareholder base because many institutional investors purchase shares through index-tracking funds.

According to Reuters, Nasdaq’s proposed fast-track rule is partly intended to attract highly valued private companies such as SpaceX, OpenAI, and Anthropic to list on the exchange.

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The Boring Company’s Prufrock-2 emerges after completing new Vegas Loop tunnel

The new tunnel measures 2.28 miles, making it the company’s longest single Vegas Loop tunnel to date.

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Credit: The Boring Company/X

The Boring Company announced that its Prufrock-2 tunnel boring machine (TBM) has completed another Vegas Loop tunnel in Las Vegas. The company shared the update in a post on social media platform X.

According to The Boring Company’s post, the new tunnel measures 2.28 miles, making it the company’s longest single Vegas Loop tunnel to date.

The new tunnel marks the fourth tunnel constructed near Westgate Las Vegas as the Vegas Loop network continues expanding across the city.

The Boring Company also noted that the new tunnel surpassed its previous internal record of 2.26 miles for a single Vegas Loop segment.

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Construction of the tunnel involved moving roughly 68,000 cubic yards of dirt. The excavation process also used about 4.8 miles of continuous conveyor belt, powered by six motors totaling 825 horsepower.

The Boring Company’s Prufrock-series all-electric tunnel boring machines are designed to support the rapid expansion of company’s underground transportation projects, including the growing Vegas Loop network. Prufrock machines are designed for reusability, thanks in no small part to their capability to be deployed and retrieved easily through their “porposing” feature.

The Vegas Loop, specifically the Las Vegas Convention Center (LVCC) Loop segment, has already been used during major events. Most recently, the LVCC Loop supported the 2026 CONEXPO-CON/AGG construction trade show, which was held from March 3-7, 2026. 

As per The Boring Company, the LVCC Loop transported roughly 82,000 passengers across the convention center campus during the event’s duration. 

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CONEXPO-CON/AGG is one of the largest construction trade shows in North America, drawing more than 140,000 construction professionals from 128 countries this year.

The LVCC Loop forms the initial segment of the broader Vegas Loop network, which remains under active development as The Boring Company continues building new tunnels throughout the city.

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Tesla gathers Cybercab fleet in Gigafactory Texas

Images and video of the Cybercab fleet were shared by longtime Giga Texas observer Joe Tegtmeyer in posts on social media platform X.

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Credit: Credit: @JoeTegtmeyer/X

Tesla appears to be assembling a growing number of Cybercabs at Gigafactory Texas as preparations continue for the vehicle’s mass production. Recent footage shared online has shown over 30 Cybercabs being transported by trucks or staged near testing areas at the facility.

The images and video were shared by longtime Giga Texas observer and drone operator Joe Tegtmeyer in posts on social media platform X.

Interestingly enough, Tegtmeyer noted that many of the Cybercabs being loaded onto transport trucks were still equipped with steering wheels. This suggests that the vehicles are likely testing units rather than the final driverless configuration expected for the company’s Robotaxi service.

The vehicles could potentially be headed to testing sites across the United States as Tesla prepares to expand its Robotaxi fleet.

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Additional footage captured at Gigafactory Texas also showed the Cybercab’s side and rear camera washer system operating as vehicles were being loaded onto transport trucks.

The growing number of Cybercabs at Giga Texas comes amidst the company’s announcement that the first production Cybercab has been produced at the facility. Full Cybercab production is expected to begin in April.

The vehicle is expected to play a central role in Tesla’s Robotaxi ambitions as the company looks to expand autonomous ride-hailing operations beyond its early deployments using Model Y vehicles.

Tesla has also linked Cybercab production to its proposed Unboxed manufacturing process, which assembles large vehicle modules separately before integrating them. The approach is intended to reduce production costs and accelerate output.

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Musk has also noted that the Cybercab’s ramp will likely begin slowly due to the number of new components and manufacturing steps involved. However, he stated that once the process matures, Cybercab production could scale quickly.

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