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

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.”

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.
News
SpaceX Starlink gets its latest airline adoptee, grabbing three of the ‘Big Four’
SpaceX’s Starlink product has just gotten its latest airline adoptee, and the move marks the successful partnership of three of the “Big Four” U.S. airlines.
American Airlines announced on Tuesday that it would utilize Starlink in more than 500 narrowbody aircraft beginning in the first quarter of 2027. These include the Airbus aircraft in its fleet, including the new A321XLR and A321neo.
With the new partnership with American Airlines, Starlink is now present on three of the largest airlines in the country: American, United, and Southwest.
Starlink gets its latest airline adoptee for stable and reliable internet access
Starlink’s VP of Enterprise Sales, Jason Fritch, said:
“We are proud to bring Starlink on board American Airlines, delivering fast and reliable internet to passengers and crew. Whether traveling for leisure or business, Starlink enables a fully connected experience gate to gate, making every flight smoother and more enjoyable.”
Additionally, American Airlines Chief Customer Officer, Heather Garboden, said:
“As a premium global airline, we are continuously seeking out world-class partners like Starlink to deliver what our customers need and want. The addition of Starlink solidifies American as a leading airline in keeping passengers connected in flight.”
Starlink has been on a tear over the past year, as it has continued to be adopted by a wide variety of airlines as a more consistent and reliable way to provide WiFi to its passengers. It has already gained a great reputation among residential users, but its biggest commercial application appears to be how it is being used in the air.
American Airlines will adopt Starlink on more than 500 of its narrowbody aircraft beginning in Q1 2027
“As a premium global airline, we are continuously seeking out world-class partners like Starlink to deliver what our customers need and want,” said American Airlines Chief… pic.twitter.com/XY2wflycc0
— TESLARATI (@Teslarati) May 26, 2026
The only airline of the Big Four not to adopt Starlink thus far is Delta, which chose to opt for the alternative, which is Amazon Leo. CEO Ed Bastian said to Bloomberg that Delta chose Amazon’s product over Starlink’s because “the opportunities, in terms of the improved bandwidth with a much lower price point than what we’ve ever seen from Starlink, will make a big difference.”
Delta will not start installing Amazon Leo until 2028.
“Of course, we expect Starlink will be warning people that we’re going to go with an inferior product,” Bastian said. “But I’m not too worried about partnering with Amazon.”
Cybertruck
Tesla Cybertruck’s newest trim is nearing its first deliveries
Tesla Cybertruck’s newest trim level is nearing its first deliveries just a few months after being offered for an incredible deal.
Back in February, Tesla officially launched a new trim of the Cybertruck, the All-Wheel-Drive, starting at just $59,990. It was a lot of truck for the money, especially considering what it offered the Rear-Wheel-Drive variant for last year, which was a total flop.
The $59,990 price that was offered initially was a deal due to its 325-mile range rating, powered tonneau, three bed outlets, Powershare capability, coil springs with adaptive damping for a refined suspension feel, Steer-by-Wire and four-wheel steering, a 6′ x 4′ composite bed, towing capacity of 7,500 pounds, and a powered frunk.
Tesla is now nearing deliveries of this trim, according to watcher Sawyer Merritt, as Tesla has officially started assigning VINs to people who ordered the vehicle initially:
I can confirm that Tesla has officially started assigning VINs to people who initially ordered the $59,990 Cybertruck Dual-Motor AWD, which means first deliveries should start in the coming weeks!
• 325 mile range
• 7,500 lb towing capacity
• 0-60mph: 4.1s
• Bed with… pic.twitter.com/PQwVYbZf6j— Sawyer Merritt (@SawyerMerritt) May 24, 2026
Earlier this month, we reported on units of the trim being spotted outside Gigafactory Texas by Joe Tegtmeyer.
Tesla Giga Texas buzzing as new Cybertruck appears to enter production
This Cybertruck trim was interesting because it was released basically out of nowhere, priced incredibly well, and gathered many orders in a small amount of time. However, CEO Elon Musk noted just days afterward that the vehicle would only be priced at this bargain level for ten days.
Tesla fans were not happy.
Awful way to treat customers – particularly when they already sent out a marketing email announcing the $59,990 truck…with zero mention of it being a limited-time offer.
— Ryan McCaffrey (@DMC_Ryan) February 24, 2026
However, the issues with the pricing strategy have blown over since the February unveiling event, and now that deliveries are near, Tesla fans are anticipating the truck making its way to their driveways soon.
The truck is currently priced at $69,990, and deliveries for new orders are slated for between August and September 2026.
News
Tesla ships new feature that silences neighborhood Supercharger complaints
Tesla is shipping a new feature that silences neighborhood Supercharger complaints, prompting drivers to be aware of those who might be impacted by excessive noise nearby.
Tesla is now rolling out a new location-specific “Quiet Charging Zone” that prompts drivers to lower their vehicle’s audio volume in an effort to make things comfortable for everyone, even those who are not Tesla owners.
Another beautiful example of Tesla’s vertical integration.
Neighbors were complaining about noise and commotion at this new Supercharger in San Francisco.
So Tesla pushed a software update that asks people to turn their volume down, with a button to do it in 1 tap. Smart. pic.twitter.com/8esuliuzwr
— Whole Mars Catalog (@wholemars) May 20, 2026
This is an impactful feature that will resolve many complaints from those who are living nearby.
When a Tesla plugs into this Supercharger and its media volume exceeds a certain level, the vehicle’s central touchscreen displays a polite notification: “Could you turn the volume down? Please be mindful of our neighbors.”
Accompanying the message is a prominent “Lower” button. One tap automatically reduces the audio to a more considerate level. Physical “Quiet Charging Zone” signs posted at the station reinforce the request, creating a cohesive experience that blends digital nudges with on-site reminders.
This feature highlights Tesla’s unique advantages. Unlike traditional automakers, Tesla owns both the vehicle software and the charging infrastructure.
Engineers can detect the precise location via GPS, trigger context-aware prompts, and deploy changes fleet-wide in hours or days without recalls or dealer visits. No public release notes highlighted the change, suggesting it was a quiet, site-specific rollout designed to test effectiveness before potential expansion.
These are usually referred to as “Undocumented Changes.”
Beyond immediate noise reduction, the initiative underscores Tesla’s customer- and community-focused ethos. While EVs are inherently quieter than combustion-engine vehicles, auxiliary behaviors like loud infotainment can still create friction in dense cities. Tesla’s rapid response turns potential conflict into an opportunity to demonstrate thoughtful engineering.
As Tesla expands its Supercharger network, which is now open to other EVs in many places, features like location-based quiet modes could become standard tools for harmonious integration into neighborhoods.