A recently published Tesla patent application titled “System and Method for Handling Errors in a Vehicle Neural Network Processor” describes a way to safely handle errors encountered in self-driving software. Rather than risking delays in driving responses that result from input data errors, a signal is sent to ignore the bad information and continue processing as usual. Tesla’s application was published May 23, 2019 as International Publication No. WO/2019/099941.
During self-driving operations in Tesla’s program, streams of real-time input data are received and used to both train its neural network and initiate a vehicle response to what’s being processed. If something in the data is erroneous or causes a delay in processing, the real-world impact can be disastrous if not handled properly. For example, in a fast-moving vehicle, sensor data can become stale very quickly and cause the self-driving software to respond to an environment that no longer exists. This can result in accidents, property damage, injury, and/or death. The solution presented in Tesla’s patent application attempts to avoid such processing delays altogether and thus improves the safety of the self-driving software overall.
Tesla’s patent application describes the issue as follows:
“Some types of errors may cause neural network processor to hang or time out. That is, one or more portions of neural network processor may freeze or otherwise remain inactive for more than a predetermined amount of time. When a timeout error is encountered, [the] neural network processor may cease to provide output data and/or respond to input data. Other types of errors, such as program errors and/or data errors, may cause the output data generated by [the] neural network processor to be corrupted. When such errors are encountered, [the] neural network processor may continue to provide output data, but the result may be incorrect, meaningless, and/or otherwise unusable.”
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- Tesla’s self-driving patent application focuses on handling errors found in its neural network. | Image: Tesla/WIPO
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- Tesla’s self-driving patent application focuses on handling errors found in its neural network. | Image: Tesla/WIPO
On its face, the concept behind invention may seem somewhat simple, but likely due to the complexity of neural networks and the field of autonomous driving still being fairly new, Tesla’s solution is unique and innovative. At the international review stage in the patent application process, the Examiner found that Tesla’s patent was novel (new) compared to similar neural network inventions already in the field. Specifically, the following was commented in a Written Opinion:
“Although neural network processors are well known in the art, including in the operation of a vehicle, the addition of having the controller signal that a pending data result is tainted, or incorrect, without terminating the execution of the network, improves upon prior art processors by ensuring the computations of the processor in the vehicle continue while ignoring data determined to be in error, and would require a complexity beyond the ordinary skill, and therefore…meets the…criteria for patentability.”
Concerns about Tesla’s Autopilot software were recently hit by a report published by Consumer Reports wherein the consumer advocacy group concluded that Navigate on Autopilot with autonomic lane changes was more of a liability than an asset. The report stated that, since the feature requires drivers to be one step ahead of the system while it is engaged, it still needs improvement, although the same group found Tesla’s autonomous driving software to be more capable than the competition. However, the report was only focused on how Navigate on Autopilot operates when changing lanes confirmation and warnings are disabled, contrary to scathing headlines which lumped all of Autopilot’s features together with the review.
This most recent patent application shows that Tesla is continuously improving its self-driving features, if that wasn’t already obvious from the company’s frequent over-the-air software releases.
At Tesla’s Autonomy Day for investors last month, CEO Elon Musk declared that the company’s Full Self-Driving computer was objectively the “best in the world”. As more information becomes available, such as presentations on Tesla’s technology and in patent applications, Musk’s confidence expressed in his statement becomes more clear. Full Self-Driving is expected to be feature-complete this year and will become publicly available as regulatory hurdles are overcome.
Elon Musk
Tesla reveals it is using AI to make factories more sustainable: here’s how
Tesla is using AI in its Gigafactory Nevada factory to improve HVAC efficiency.
Tesla has revealed in its Extended Impact Report for 2024 that it is using Artificial Intelligence (AI) to enable its factories to be more sustainable. One example it used was its achievement of managing “the majority of the HVAC infrastructure at Gigafactory Nevada is now AI-controlled” last year.
In a commitment to becoming more efficient and making its production as eco-friendly as possible, Tesla has been working for years to find solutions to reduce energy consumption in its factories.
For example, in 2023, Tesla implemented optimization controls in the plastics and paint shops located at Gigafactory Texas, which increased the efficiency of natural gas consumption. Tesla plans to phase out natural gas use across its factories eventually, but for now, it prioritizes work to reduce emissions from that energy source specifically.
It also uses Hygrometric Control Logic for Air Handling Units at Giafactory Berlin, resulting in 17,000 MWh in energy savings each year. At Gigafactory Nevada, Tesla saves 9.5 GWh of energy through the use of N-Methylpyrrolidone refineries when extracting critical raw material.
Perhaps the most interesting way Tesla is conserving energy is through the use of AI at Gigafactory Nevada, as it describes its use of AI to reduce energy demand:
“In 2023, AI Control for HVAC was expanded from Nevada and Texas to now include our Berlin-Brandenburg and Fremont factories. AI Control policy enables HVAC systems within each factory to work together to process sensor data, model factory dynamics, and apply control actions that safely minimize the energy required to support production. In 2024, this system achieved two milestones: the majority of HVAC infrastructure at Gigafactory Nevada is now AI-controlled, reducing fan and thermal energy demand; and the AI algorithm was extended to manage entire chiller plants, creating a closed-loop control system that optimizes both chilled water consumption and the energy required for its generation, all while maintaining factory conditions.”
Tesla utilizes AI Control “primarily on systems that heat or cool critical factory production spaces and equipment.” AI Control communicates with the preexisting standard control logic of each system, and any issues can be resolved by quickly reverting back to standard control. There were none in 2024.
Tesla says that it is utilizing AI to drive impact at its factories, and it has proven to be a valuable tool in reducing energy consumption at one of its facilities.
Elon Musk
Tesla analysts believe Musk and Trump feud will pass
Tesla CEO Elon Musk and U.S. President Donald Trump’s feud shall pass, several bulls say.
Tesla analysts are breaking down the current feud between CEO Elon Musk and U.S. President Donald Trump, as the two continue to disagree on the “Big Beautiful Bill” and its impact on the country’s national debt.
Musk, who headed the Department of Government Efficiency (DOGE) under the Trump Administration, left his post in May. Soon thereafter, he and President Trump entered a very public and verbal disagreement, where things turned sour. They reconciled to an extent, and things seemed to be in the past.
However, the second disagreement between the two started on Monday, as Musk continued to push back on the “Big Beautiful Bill” that the Trump administration is attempting to sign into law. It would, by Musk’s estimation, increase spending and reverse the work DOGE did to trim the deficit.
Every member of Congress who campaigned on reducing government spending and then immediately voted for the biggest debt increase in history should hang their head in shame!
And they will lose their primary next year if it is the last thing I do on this Earth.
— Elon Musk (@elonmusk) June 30, 2025
President Trump has hinted that DOGE could be “the monster” that “eats Elon,” threatening to end the subsidies that SpaceX and Tesla receive. Musk has not been opposed to ending government subsidies for companies, including his own, as long as they are all abolished.
How Tesla could benefit from the ‘Big Beautiful Bill’ that axes EV subsidies
Despite this contentious back-and-forth between the two, analysts are sharing their opinions now, and a few of the more bullish Tesla observers are convinced that this feud will pass, Trump and Musk will resolve their differences as they have before, and things will return to normal.
ARK Invest’s Cathie Wood said this morning that the feud between Musk and Trump is another example of “this too shall pass:”
BREAKING: CATHIE WOOD SAYS — ELON AND TRUMP FEUD “WILL PASS” 👀 $TSLA
She remains bullish ! pic.twitter.com/w5rW2gfCkx
— TheSonOfWalkley (@TheSonOfWalkley) July 1, 2025
Additionally, Wedbush’s Dan Ives, in a note to investors this morning, said that the situation “will settle:”
“We believe this situation will settle and at the end of the day Musk needs Trump and Trump needs Musk given the AI Arms Race going on between the US and China. The jabs between Musk and Trump will continue as the Budget rolls through Congress but Tesla investors want Musk to focus on driving Tesla and stop this political angle…which has turned into a life of its own in a roller coaster ride since the November elections.”
Tesla shares are down about 5 percent at 3:10 p.m. on the East Coast.
Elon Musk
Tesla scrambles after Musk sidekick exit, CEO takes over sales
Tesla CEO Elon Musk is reportedly overseeing sales in North America and Europe, Bloomberg reports.
Tesla scrambled its executives around following the exit of CEO Elon Musk’s sidekick last week, Omead Afshar. Afshar was relieved of his duties as Head of Sales for both North America and Europe.
Bloomberg is reporting that Musk is now overseeing both regions for sales, according to sources familiar with the matter. Afshar left the company last week, likely due to slow sales in both markets, ending a seven-year term with the electric automaker.
Tesla’s Omead Afshar, known as Elon Musk’s right-hand man, leaves company: reports
Afshar was promoted to the role late last year as Musk was becoming more involved in the road to the White House with President Donald Trump.
Afshar, whose LinkedIn account stated he was working within the “Office of the CEO,” was known as Musk’s right-hand man for years.
Additionally, Tom Zhu, currently the Senior Vice President of Automotive at Tesla, will oversee sales in Asia, according to the report.
It is a scramble by Tesla to get the company’s proven executives over the pain points the automaker has found halfway through the year. Sales are looking to be close to the 1.8 million vehicles the company delivered in both of the past two years.
Tesla is pivoting to pay more attention to the struggling automotive sales that it has felt over the past six months. Although it is still performing well and is the best-selling EV maker by a long way, it is struggling to find growth despite redesigning its vehicles and launching new tech and improvements within them.
The company is also looking to focus more on its deployment of autonomous tech, especially as it recently launched its Robotaxi platform in Austin just over a week ago.
However, while this is the long-term catalyst for Tesla, sales still need some work, and it appears the company’s strategy is to put its biggest guns on its biggest problems.
Tesla reveals it is using AI to make factories more sustainable: here’s how
Tesla analysts believe Musk and Trump feud will pass
Tesla scrambles after Musk sidekick exit, CEO takes over sales
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