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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.
Elon Musk
Tesla CEO Elon Musk announces major update with texting and driving on FSD
“Depending on context of surrounding traffic, yes,” Musk said in regards to FSD v14.2.1 allowing texting and driving.
Tesla CEO Elon Musk has announced a major update with texting and driving capabilities on Full Self-Driving v14.2.1, the company’s latest version of the FSD suite.
Tesla Full Self-Driving, even in its most mature and capable versions, is still a Level 2 autonomous driving suite, meaning it requires attention from the vehicle operator.
You cannot sleep, and you should not take attention away from driving; ultimately, you are still solely responsible for what happens with the car.
The vehicles utilize a cabin-facing camera to enable attention monitoring, and if you take your eyes off the road for too long, you will be admonished and advised to pay attention. After five strikes, FSD and Autopilot will be disabled.
However, Musk announced at the Annual Shareholder Meeting in early November that the company would look at the statistics, but it aimed to allow people to text and drive “within the next month or two.”
He said:
“I am confident that, within the next month or two, we’re gonna look at the safety statistics, but we will allow you to text and drive.”
“I am confident that, within the next month or two, we’re gonna look at the safety statistics, but we will allow you to text and drive.”
Does anyone think v14.3 will enable this? pic.twitter.com/N2yn0SK70M
— TESLARATI (@Teslarati) November 23, 2025
Today, Musk confirmed that the current version of Full Self-Driving, which is FSD v14.2.1, does allow for texting and driving “depending on context of surrounding traffic.”
Depending on context of surrounding traffic, yes
— Elon Musk (@elonmusk) December 4, 2025
There are some legitimate questions with this capability, especially as laws in all 50 U.S. states specifically prohibit texting and driving. It will be interesting to see the legality of it, because if a police officer sees you texting, they won’t know that you’re on Full Self-Driving, and you’ll likely be pulled over.
Some states prohibit drivers from even holding a phone when the car is in motion.
It is certainly a move toward unsupervised Full Self-Driving operation, but it is worth noting that Musk’s words state it will only allow the vehicle operator to do it depending on the context of surrounding traffic.
He did not outline any specific conditions that FSD would allow a driver to text and drive.
News
Tesla Semi just got a huge vote of confidence from 300-truck fleet
The confidential meeting marks a major step for the mid-sized carrier in evaluating the electric truck for its regional routes.
The Tesla Semi is moving closer to broader fleet adoption, with Keller Logistics Group wrapping up a key pre-production planning session with the electric vehicle maker’s team this week.
The confidential meeting marks a major step for the mid-sized carrier in evaluating the electric truck for its regional routes.
Keller’s pre-production Tesla Semi sessions
Keller Logistics Group, a family-owned carrier with over 300 tractors and 1,000 trailers operating in the Midwest and Southeast, completed the session to assess the Tesla Semi’s fit for its operations. The company’s routes typically span 500-600 miles per day, positioning it as an ideal tester for the Semi’s day cab configuration in standard logistics scenarios.
Details remain under mutual NDA, but the meeting reportedly focused on matching the truck to yard, shuttle and regional applications while scrutinizing economics like infrastructure, maintenance and incentives.
What Keller’s executives are saying
CEO Bryan Keller described the approach as methodical. “For us, staying ahead isn’t a headline, it’s a habit. From electrification and yard automation to digital visibility and warehouse technology, our teams are continually pressure-testing what’s next. The Tesla Semi discussion is one more way we evaluate new tools against our standards for safety, uptime, and customer ROI. We don’t chase trends, we pressure-test what works,” Keller said.
Benjamin Pierce, Chief Strategy Officer, echoed these sentiments. “Electrification and next-generation powertrains are part of a much broader transformation. Whether it’s proprietary yard systems like YardLink™, solar and renewable logistics solutions, or real-time vehicle intelligence, Keller’s approach stays the same, test it, prove it, and deploy it only when it strengthens service and total cost for our customers,” Pierce said.
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Tesla extends FSD Supervised ride-alongs in Europe by three months
Needless to say, it does appear that FSD fever is starting to catch in Europe.
Tesla appears to be doubling down on its European Full Self-Driving (Supervised) push, with the company extending its demo ride-along program by three months until the end of March 2026. The update seems to have been implemented due to overwhelming demand.
Needless to say, it does appear that FSD fever is starting to catch in Europe.
Extended FSD demonstrations
Tesla EU Policy and Business Development Manager Ivan Komušanac shared on LinkedIn that the company is offering ride-along experiences in Germany, France and Italy while working toward FSD (Supervised) approval in Europe.
He noted that this provides a great feedback opportunity from the general public, encouraging participants to record and share their experiences. For those unable to book in December, Komušanac teased more slots as “Christmas presents.”
Tesla watcher Sawyer Merritt highlighted the extension on X, stating that dates now run from December 1, 2025, to March 31, 2026, in multiple cities including Stuttgart-Weinstadt, Frankfurt and Düsseldorf in Germany. This suggests that the FSD ride-along program in Europe has officially been extended until the end of the first quarter of 2026.
Building momentum for European approval
Replies to Merritt’s posts buzzed with excitement, with users like @AuzyMale noting that Cologne and Düsseldorf are already fully booked. This sentiment was echoed by numerous other Tesla enthusiasts on social media. Calls for the program’s expansion to other European territories have also started gaining steam, with some X users suggesting Switzerland and Finland as the next locations for FSD ride-alongs.
Ultimately, the Tesla EU Policy and Business Development Manager’s post aligns with the company’s broader FSD efforts in Europe. As per recent reports, Tesla recently demonstrated FSD’s capabilities for Rome officials. Reporters from media outlets in France and Germany have also published positive reviews of FSD’s capabilities on real-world roads.
Tesla CEO Elon Musk announces major update with texting and driving on FSD
Tesla Semi just got a huge vote of confidence from 300-truck fleet
