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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.
Energy
Tesla Megapack Megafactory in Texas advances with major property sale
Stream Realty Partners announced the sale of Buildings 9 and 10 at the Empire West industrial park, which total 1,655,523 square feet.
Tesla’s planned Megapack factory in Brookshire, Texas has taken a significant step forward, as two massive industrial buildings fully leased to the company were sold to an institutional investor.
In a press release, Stream Realty Partners announced the sale of Buildings 9 and 10 at the Empire West industrial park, which total 1,655,523 square feet. The properties are 100% leased to Tesla under a long-term agreement and were acquired by BGO on behalf of an institutional investor.
The two facilities, located at 100 Empire Boulevard in Brookshire, Texas, will serve as Tesla’s new Megafactory dedicated to manufacturing Megapack battery systems.
According to local filings previously reported, Tesla plans to invest nearly $200 million into the site. The investment includes approximately $44 million in facility upgrades such as electrical, utility, and HVAC improvements, along with roughly $150 million in manufacturing equipment.
Building 9, spanning roughly 1 million square feet, will function as the primary manufacturing floor where Megapacks are assembled. Building 10, covering approximately 600,000 square feet, will be dedicated to warehousing and logistics operations, supporting storage and distribution of completed battery systems.
Waller County Commissioners have approved a 10-year tax abatement agreement with Tesla, offering up to a 60% property-tax reduction if the company meets hiring and investment targets. Tesla has committed to employing at least 375 people by the end of 2026, increasing to 1,500 by the end of 2028, as noted in an Austin County News Online report.
The Brookshire Megafactory will complement Tesla’s Lathrop Megafactory in California and expand U.S. production capacity for the utility-scale energy storage unit. Megapacks are designed to support grid stabilization and renewable-energy integration, a segment that has become one of Tesla’s fastest-growing businesses.
News
Tesla Sweden strikers see tax issues over IF Metall union error
To address the issue, IF Metall is encouraging Tesla strikers to return the refunded tax amounts to the union.
A tax correction is set to return two years of income tax payments to Tesla strikers in Sweden, after authorities determined that conflict compensation during a labor dispute should not have been taxed.
The issue is caused by a decision by IF Metall to treat strike compensation for Tesla workers as taxable income during the ongoing labor dispute with Tesla Sweden. That approach has now been reversed following guidance from the Swedish Tax Agency.
Strike compensation is typically tax-free under Sweden’s Income Tax Act, as noted in a report from Dagens Arbete (DA). However, two years ago, IF Metall’s board decided to classify payments to Tesla strikers as taxable.
“We did it to secure SGI, unemployment insurance and public pension. Those were the risks we saw when the strike had already dragged on,” Kent Bursjöö, financial manager at IF Metall, stated.
According to Bursjöö, the union wanted to ensure that members continued to register earned income with the tax agency, protecting benefits tied to income history. At the end of January, however, the Swedish Tax Agency informed the union that compensation during a labor dispute must be tax-free.
“Of course, we knew that it could be tax-free. But we clearly didn’t know that it couldn’t be taxable,” Bursjöö said.
Following discussions with auditors and tax authorities, IF Metall began correcting the payments. As a result, two years of paid income tax will now be credited back to the affected strikers’ tax accounts. The union will also recover previously paid employer contributions.
However, the correction creates secondary effects. Since the payments will now be treated as tax-free, pension contributions tied to those earnings will be withdrawn, potentially affecting state pension accrual and income-based benefits such as parental or sickness benefits.
To address this, IF Metall is encouraging members to return the refunded tax amounts to the union. In exchange, the union plans to pay 18.5% into occupational pensions on their behalf. “Otherwise, it will be a form of overcompensation when they get the tax paid back,” Bursjöö said.
That being said, the IF Metall officer acknowledged that the union’s legal ability to reclaim the funds from its improperly paid Tesla Sweden strikers is limited. “The legal possibilities are probably limited, from what we can see. But we assume that most people see the value of securing their pension,” Bursjöö said.
News
Tesla sues California DMV over Autopilot and FSD advertising ruling
The complaint seeks to remove the agency’s conclusion that Tesla falsely promoted the capabilities of Autopilot and Full Self-Driving.
Tesla has filed a lawsuit against the California Department of Motor Vehicles (DMV) in an effort to overturn a prior ruling that found the automaker engaged in false advertising related to its driver-assistance systems.
The complaint seeks to remove the agency’s conclusion that Tesla misled customers about the capabilities of Autopilot and Full Self-Driving.
Tesla’s legal action follows a decision by California’s Office of Administrative Hearings (OAH), which concluded that Tesla’s earlier marketing of “Autopilot” and “Full Self-Driving” violated state law, as noted in a CNBC report.
While the DMV opted not to suspend Tesla’s license after determining the company had updated its marketing language for its advanced driver-assistance systems, Tesla is asking the court to go further and reverse the agency’s conclusion.
In its Feb. 13 complaint, Tesla’s attorneys argued that the DMV “wrongfully and baselessly” labeled the company a “false advertiser” for its Autopilot and FSD systems. The filing argued that regulators failed to demonstrate that consumers were actually misled about the capabilities of Tesla’s systems.
According to Tesla’s complaint, the DMV “never proved consumers in the state had been confused about whether its cars were safe to drive without a human at the wheel.”
Tesla’s legal team further stated: “It was impossible to buy a Tesla equipped with either Autopilot or Full Self-Driving Capability, or to use any of their associated features, without seeing clear and repeated statements that they do not make the vehicle autonomous.”
Tesla now promotes its driver-assistance system as “Full Self-Driving (Supervised),” a name that overemphasizes the need for active driver attention.
Tesla’s autonomous driving program is a pivotal part of the company’s future, with CEO Elon Musk stating that self-driving technology will truly be the solution that will push Tesla into its full potential. The company is currently operating a Robotaxi pilot in Austin and the Bay Area, and the company recently announced that it has produced the first Cybercab from Giga Texas’ production line.