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
Tesla gamifies Supercharging with new ‘Charging Passport’
It will also include things like badges for special charging spots, among other metrics that will show all of the different places people have traveled to plug in for range.
Tesla is gamifying its Supercharging experience by offering a new “Charging Passport,” hoping to add a new layer to the ownership experience.
While it is not part of the Holiday Update, it is rolling out around the same time and offers a handful of cool new features.
Tesla’s Charging Passport will be available within the smartphone app and will give a yearly summary of your charging experience, helping encapsulate your travel for that year.
It will also include things like badges for special charging spots, among other metrics that will show all of the different places people have traveled to plug in for range.
Tesla has just introduced “Charging Passport,” a new yearly summary of your charging.
• Charging badges: Iconic Charging badge (for visiting places like the Tesla Diner, Oasis Supercharger, etc), Explorer badge, green saver badge, etc.
• Total unique Superchargers visited
•… pic.twitter.com/c1DHTWXpj7— Sawyer Merritt (@SawyerMerritt) December 8, 2025
Tesla will include the following metrics within the new Charging Passport option within the Tesla app:
- Charging badges: Iconic charging badges for visiting places like the Tesla Diner, Oasis Supercharger, etc., Explorer Badge, and more
- Total Unique Superchargers Visited
- Total Charging Sessions
- Total Miles Added during Charging Sessions
- Top Charging Day
- Longest Trip
- Favorite Charging Locations
This will give people a unique way to see their travels throughout the year, and although it is not necessarily something that is needed or adds any genuine value, it is something that many owners will like to look back on. After all, things like Spotify Wrapped and Apple Music Replay have been a great way for people to see what music they listened to throughout the year.
This is essentially Tesla’s version of that.
With a handful of unique Superchargers already active, Tesla is also building some new ones, like a UFO-inspired location in New Mexico, near Roswell.
Tesla is building a new UFO-inspired Supercharger in the heart of Alien country
News
Tesla launches its coolest gift idea ever just a few weeks after it was announced
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention.”
Tesla has launched its coolest gift idea ever, just a few weeks after it was announced.
Tesla is now giving owners the opportunity to gift Full Self-Driving for one month to friends or family through a new gifting program that was suggested to the company last month.
The program will enable people to send a fellow Tesla owner one month of the company’s semi-autonomous driving software, helping them to experience the Full Self-Driving suite and potentially help Tesla gain them as a subscriber of the program, or even an outright purchase.
Tesla is going to allow owners to purchase an FSD Subscription for another owner for different month options
You’ll be able to gift FSD to someone! https://t.co/V29dhf5URj
— TESLARATI (@Teslarati) November 3, 2025
Tesla has officially launched the program on its Shop. Sending one month of Full Self-Driving costs $112:
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention. All sales are final. Can only be purchased and redeemed in the U.S. This gift card is valued at $112.00 and is intended to cover the price of one month of FSD (Supervised), including up to 13% sales tax. It is not guaranteed to cover the full monthly price if pricing or tax rates change. This gift card can be stored in Tesla Wallet and redeemed toward FSD (Supervised) or any other Tesla product or service that accepts gift card payments.”
Tesla has done a great job of expanding Full Self-Driving access over the past few years, especially by offering things like the Subscription program, free trials through referrals, and now this gift card program.
Gifting Full Self-Driving is another iteration of Tesla’s “butts in seats” strategy, which is its belief that it can flip consumers to its vehicles and products by simply letting people experience them.
There is also a reason behind pushing Full Self-Driving so hard, and it has to do with CEO Elon Musk’s compensation package. One tranche requires Musk to achieve a certain number of active paid Full Self-Driving subscriptions.
More people who try the suite are likely to pay for it over the long term.
News
Tesla expands Robotaxi app access once again, this time on a global scale
Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.
Tesla has expanded Robotaxi app access once again, but this time, it’s on a much broader scale as the company is offering the opportunity for those outside of North America to download the app.
Tesla Robotaxi is the company’s early-stage ride-hailing platform that is active in Texas, California, and Arizona, with more expansion within the United States planned for the near future.
Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.
The platform has massive potential, and Tesla is leaning on it to be a major contributor to even more disruption in the passenger transportation industry. So far, it has driven over 550,000 miles in total, with the vast majority of this coming from the Bay Area and Austin.
First Look at Tesla’s Robotaxi App: features, design, and more
However, Tesla is focusing primarily on rapid expansion, but most of this is reliant on the company’s ability to gain regulatory permission to operate the platform in various regions. The expansion plans go well outside of the U.S., as the company expanded the ability to download the app to more regions this past weekend.
So far, these are the areas it is available to download in:
- Japan
- Thailand
- Hong Kong
- South Korea
- Australia
- Taiwan
- Macau
- New Zealand
- Mexico
- U.S.
- Canada
Right now, while Tesla is focusing primarily on expansion, it is also working on other goals that have to do with making it more widely available to customers who want to grab a ride from a driverless vehicle.
One of the biggest goals it has is to eliminate safety monitors from its vehicles, which it currently utilizes in Austin in the passenger’s seat and in the driver’s seat in the Bay Area.
A few weeks ago, Tesla started implementing a new in-cabin data-sharing system, which will help support teams assist riders without anyone in the front of the car.
Tesla takes a step towards removal of Robotaxi service’s safety drivers
As Robotaxi expands into more regions, Tesla stands to gain tremendously through the deployment of the Full Self-Driving suite for personal cars, as well as driverless Robotaxis for those who are just hailing rides.
Things have gone well for Tesla in the early stages of the Robotaxi program, but expansion will truly be the test of how things operate going forward. Navigating local traffic laws and gaining approval from a regulatory standpoint will be the biggest hurdle to jump.
Tesla gamifies Supercharging with new ‘Charging Passport’
Tesla launches its coolest gift idea ever just a few weeks after it was announced
