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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.
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Tesla adjusts Robotaxi safety monitor strategy in Austin with new service area
The positioning of the driver, as well as the driver’s hands being closer to the steering wheel, is more similar to what Tesla is doing in the Bay Area Robotaxi program than it is to what it has done in Austin.
Tesla has adjusted its Robotaxi safety monitor strategy in Austin after it expanded its service area in the city last week for the third time.
Tesla has been operating its Robotaxi platform in Austin since June 22. The vehicles have been operated without a driver, but Tesla has placed safety monitors in the passenger’s seat as a precaution.
The safety monitors are responsible for performing any necessary interventions and maintaining a safe and comfortable cabin for riders as they experience Tesla’s first venture into the driverless ride-sharing space.
Last week, Tesla expanded its service area in Austin for the third time, expanding it from about 90 square miles to 170 square miles. The expansion included new territory, including the Austin-Bergstrom International Airport, Tesla’s Gigafactory Texas, and several freeways.
Tesla Robotaxi geofence expansion enters Plaid Mode and includes a surprise
The freeway is an area that is uncharted territory for the Tesla Robotaxi program, and this fact alone encouraged Tesla to switch up its safety monitor positioning for the time being.
For now, they will be riding in the driver’s seat when routes require freeway travel:
Sept 1 in Austin and our Robotaxi arrived with Tesla safety driver in the driver seat, similar to the Bay area (no logo on the car). Here’s that first moment when I realized, our autonomous car was heading onto the freeway. pic.twitter.com/1QfyN2Ubzf
— Gail 🇺🇸 (@gailalfaratx) September 2, 2025
The positioning of the driver, as well as the driver’s hands being closer to the steering wheel, is more similar to what Tesla is doing in the Bay Area Robotaxi program than it is to what it has done in Austin.
This is sure to draw criticism from skeptics, but it is simply a step to keep things controlled and safe while the first Robotaxi drives take passengers on the highway with this version of the Full Self-Driving software.
This FSD version differs from the one that customers have in their own vehicles, but CEO Elon Musk has indicated something big is coming soon. FSD v14 is coming to vehicles in the near future, and Musk has said its performance is pretty incredible.
Tesla’s Elon Musk shares optimistic teaser about FSD V14: “Feels sentient”
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Tesla has best month ever in Turkey with drastic spike in sales
Tesla managed to sell 8,730 Model Y vehicles in Turkey, outpacing almost every competitor by a substantial margin. Only one brand sold better than Tesla in August in Turkey, and it was Renault.
Tesla had its best monthly performance ever in Turkey in August, thanks to a drastic spike in sales.
Tesla saw an 86 percent bump in sales of the new Model Y in Turkey in August compared to July, dominating the market.
The performance was one of Tesla’s best in the market, and the company’s sales for the month accounted for half of all EV sales in Turkey for August, as it dominated and led BYD, which was the second-best-selling brand with just 1,639 units sold.
Tesla managed to sell 8,730 Model Y vehicles in Turkey, outpacing almost every competitor by a substantial margin. Only one brand sold better than Tesla in August in Turkey, and it was Renault.
Turkey reported 8,730 Tesla sales and 10.6% market share in August. BEV penetration is 21.3% and Tesla has 49.9% of this segment. 🇹🇷
• Market share is 558 basis points or 111% above the 3-month trailing average of 5.0%
• Tesla second best-selling brand
• Model Y best-selling… pic.twitter.com/qLhX7VQWXp— Roland Pircher (@piloly) September 2, 2025
Electric vehicles are, in some ways, more desirable than their gas counterparts in Turkey for several reasons. Most of the reasoning is financial.
First, EVs are subject to a lower Special Consumption Tax in Turkey. EVs can range from 25 percent to up to 170 percent, but this is less than the 70 to 220 percent rate that gas-powered vehicles can face. The tax is dependent on engine size.
Additionally, EVs are exempt from the annual Motor Vehicle Tax for the first ten years, providing consumers with a long-term ownership advantage. There are also credits that can amount to $30,000 in breaks, which makes them more accessible and brings down the cost of ownership.
Let’s not forget the other advantages that are felt regardless of country: cheaper fuel costs, reduced maintenance, and improved performance.
The base Model Y is the only configuration available in Turkey currently.
News
Tesla is upgrading airbag safety through a crazy software update
“This upgrade builds upon your vehicle’s superior crash protection by now using Tesla Vision to help offer some of the most cutting-edge airbag performance in the event of a frontal crash.”
Tesla is upgrading airbag safety through a crazy software update, which will utilize the company’s vision-first approach to enable better protection in the event of an accident.
Over the years, Tesla has gained an incredible reputation for prioritizing safety in its vehicles, with crash test ratings at the forefront of its engineers’ minds.
This has led to Tesla gaining numerous five-star safety ratings and awards related to safety. It is not just a statistical thing, either. In the real world, we’ve seen Teslas demonstrate some impressive examples of crash safety.
Everything from that glass roof not caving in when a tree falls on it to a Model Y surviving a drive off a cliff has been recorded.
However, Tesla is always looking to improve safety, and unlike most companies, it does not need a physical hardware update to do so. It can enhance features such as crash response and airbag performance through Over-the-Air software updates, which download automatically to the vehicle.
In Tesla’s 2025.32 Software Update, the company is rolling out a Frontal Airbag System Enhancement, which aims to use Tesla Vision, the company’s camera-based approach to self-driving, to keep occupants safe.
The release notes state (via NotaTeslaApp):
“This upgrade builds upon your vehicle’s superior crash protection by now using Tesla Vision to help offer some of the most cutting-edge airbag performance in the event of a frontal crash. Building on top of regulatory and industry crash testing, this release enables front airbags to begin to inflate and restrain occupants earlier, in a way that only Tesla’s integrated systems are capable of doing, making your car safer over time.”
The use of cameras to predict a better time to restrain occupants with seatbelts and inflate airbags prior to a collision is a fantastic way to prevent injuries and limit harm done to those in the vehicle.
The feature is currently limited to the Model Y.
Tesla adjusts Robotaxi safety monitor strategy in Austin with new service area
Tesla has best month ever in Turkey with drastic spike in sales
Tesla is upgrading airbag safety through a crazy software update
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