Connect with us

News

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

(Credit: Tesla Driver/YouTube)

Published

on

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.

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.

Advertisement
-

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.

Advertisement
Comments

News

Tesla hints its already prepping for Cybercab fleet orders

Published

on

Tesla Cybercab fleet spotted at Gigafactory Texas [Credit: Joe Tegtmeyer)

Tesla has quietly opened a public interest form for companies that want to buy fleets of its purpose-built Cybercab robotaxis, marking the first official channel for commercial purchases of the two-seat autonomous vehicle. The form went live on September 3, the same day Tesla hosted an invite-only Cybercab launch event in Austin, Texas.

Tesla titled the page “Help Us Build Our Robotaxi Network.” Applicants provide name, email, phone number, company name, and deployment region. They then select one or more categories: Cybercab fleet vehicle purchasing, mobility hubs and infrastructure, event collaboration, or other. Tesla says a representative will follow up with those who express commercial interest.

f

Until now, the company had no public ordering path for the vehicle, which was first shown as a concept at the October 2024 “We, Robot” event.

Advertisement
-

The Cybercab is designed from the ground up for unsupervised operation. It has no steering wheel and no pedals.

Regulatory filings list a 48-kilowatt-hour battery, a single 219-horsepower front motor, a curb weight of 3,113 pounds, and an EPA-adjusted range near 290 to 300 miles. Tesla has already registered dozens of the vehicles with Texas authorities and has been testing them on public streets around Austin.

Tesla Cybercab sightings broaden well outside of Austin with autonomy in focus

The company’s existing Robotaxi service, which currently uses modified Model Y vehicles in parts of Texas and Florida, is expected to add Cybercabs as production ramps up at Gigafactory Texas.

The form signals that Tesla is preparing to treat the Cybercab as more than an in-house fleet asset. Investors and operators have discussed buying groups of the vehicles and placing them on Tesla’s ride-hailing network, with Tesla taking a platform fee. High-profile figures have publicly stated plans to acquire fleets if Tesla allows third-party ownership.

The new page gives those parties a direct way to register interest rather than waiting for a conventional configurator.

Advertisement
-

Whether the form leads quickly to firm purchase agreements remains unclear. Regulatory approval for widespread unsupervised operation still varies by state, and Tesla has not published pricing or delivery timelines for fleet customers. The company has previously discussed a target price near $25,000 to $30,000 per vehicle.

For now, the form is an early signal that Tesla wants partners to help scale the network rather than operate every Cybercab itself.

Pairing the launch of the Cybercab fleet form with the Austin event is no coincidence. Tesla is inviting businesses to participate in the next phase of its Robotaxi plan at the moment the production vehicle first appears in public.

Continue Reading

News

Tesla Robotaxi riders will face the best dilemma when booking a ride

Published

on

Credit: Joe Tegtmeyer | X

Tesla has updated its Robotaxi app so riders can pick which vehicle they want before they book. The latest in-app screens now show two options side by side: the two-seat Cybercab and the four-seat Model Y.

A screenshot circulating Thursday shows the change in practice. In Austin, a rider could choose a gold Cybercab for two people or a Model Y for four. Tesla’s updated description calls Cybercab “our first purpose-built autonomous vehicle,” designed for safety, accessibility, and comfort, and says the lineup is available only through the Robotaxi app.

The distinction is more than cosmetic, and it’s important to note that Robotaxi refers to the platform, while Cybercab refers to a vehicle.

Advertisement
-

Model Y Robotaxis have carried the service since it opened in Austin in mid-2025 and later expanded to Dallas, Houston, and parts of Florida. Those vehicles are converted production SUVs that still have steering wheels and pedals.

Cybercab is different. It has no driver controls, butterfly doors, a low seat height meant to work with wheelchairs, extra trunk space for assistive devices, and braille on the handles. Tesla has registered dozens of the two-seaters with Texas regulators in the days leading up to its September 3 Austin event.

Giving riders a choice lets Tesla match the vehicle to the trip. Most rides involve one or two people, which is where Cybercab is meant to be cheaper and more efficient to operate. Groups of three or four, or anyone who needs more space, can still request a Model Y.

The same app handles booking, payment, cabin settings, and, on Cybercab, features such as phone-based door opening and in-cabin voice controls.

Tesla Cybercab event gains steam ahead of massive launch

The update does not mean every city suddenly has both cars available. Cybercab support is listed for Austin first, and the purpose-built fleet is still small compared with the existing Model Y roster. Even so, the app change marks a shift from a single-vehicle pilot to a mixed fleet.

Advertisement
-

Riders can now choose between the compact, purpose-built robotaxi and the familiar SUV that launched the service.

Continue Reading

News

Tesla Cybercab sightings broaden well outside of Austin with autonomy in focus

Published

on

Credit: Tesla Robotaxi | X

Tesla Cybercab sightings are broadening far and wide, well outside of downtown Austin, Texas, with autonomy in focus as the company plans to launch the all-electric, two-seater this evening in the Lone Star State.

Tesla is set to launch Cybercab to a small group of people this evening in a dedicated event in Austin, Texas. Public details on the event are relatively slim.

However, Tesla’s focus on Cybercab falls well outside of the downtown Austin area and is expanding well across the United States as things continue to move quickly with the company’s autonomous efforts in 2026. Today, various images of Cybercab fleets in interesting locations have started to circulate.

The most notable is a fleet of at least 20 Cybercabs at Miami International Airport in Florida. Spotted last night, the fleet is expansive and is indicative of a looming release of Cybercabs once regulatory boxes are checked off.

Tesla has already been operating the Robotaxi platform in Miami for several months, but this Cybercab fleet at the airport could be joining the ride-hailing platform as approvals arrive:

Another fleet of Cybercabs was spotted at the Devon, PA showroom just outside of Philadelphia. We have seen several Cybercab units testing around the Philadelphia Metro Area, which is interesting considering Tesla does not have any active Robotaxi geofence in Pennsylvania.

Philadelphia would be an ideal location to test ride-hailing due to its dense tourist population, large, sprawling city layout, and to compete with other ride-hailing companies that operate in the city.

Expansive fleets of Cybercabs will be popping up in and around major cities throughout the rest of the year, if we were betting on it. Tesla has made it obvious that the Cybercab rollout will be aggressive and fast-paced, but within reason. Tesla is still prioritizing safety, so these testing phases will likely go on for some period of time before more members of the public are able to snag a Cybercab for a personal chariot.

Advertisement
-
Continue Reading