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Tesla’s Neural Network adaptability to hardware highlighted in new patent application

(Credit: Tesla Driver/YouTube)

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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.

Credit: Tesla/USPTO

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.

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Credit: Tesla/USPTO

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.

Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla Semi is already winning over truck drivers

The consensus among participants is clear: the Semi feels quieter, quicker, and far less physically demanding than diesel rigs while delivering three times the power and dramatically lower operating costs.

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Credit: Tesla

Tesla’s all-electric Semi is proving more than just a flashy concept as it is winning converts among the professionals who know trucks best.

As fleets roll out Pilot Programs for Tesla across North America, drivers are raving about the Class 8 electric truck’s unique features, including a centered driver’s seat, massive touchscreen visibility, instant torque, and absence of gear-shifting fatigue.

These features are transforming long days behind the wheel into noticeably easier, less stressful shifts.

Tesla Semi pricing revealed after company uncovers trim levels

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In a recent Wall Street Journal profile of early pilots, Dakota Shearer of IMC Logistics described backing out of a tight spot he had mistakenly entered:

“I backed right out of there, no problem. It’s like I’d never done it in the first place. That right there showed me that the technology the Tesla has makes a big difference.”

His colleague Angel Rodriguez of Hight Logistics, who switched from a 13-speed diesel, agreed:

“It’s just easier on your body. It’s less stressful because you’re not really having to engage the clutch and the stick shift.”

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Veteran drivers in other tests echo the same enthusiasm. Tom Sterba, a Senior Driver at Saia, spent days testing the Semi and came away impressed with the navigation and overall feel:

“The navigation systems in these trucks are just unbelievable. That’s what I love about it.”

Sterba summed up the experience with a line that has since gone viral among trucking circles:

“I hope I retire in this truck.”

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Pilot programs with ArcBest, thyssenkrupp Supply Chain Services, and Mone Transport delivered similar feedback. Drivers consistently praised the center-seat layout for eliminating blind spots, the smooth acceleration, and the overall comfort and safety.

Real-world data backed the hype, as ArcBest logged thousands of miles at efficient consumption rates, even over the challenging routes, like Donner Pass, while other fleets beat Tesla’s own efficiency targets.

The consensus among participants is clear: the Semi feels quieter, quicker, and far less physically demanding than diesel rigs while delivering three times the power and dramatically lower operating costs.

The latest chapter in the Semi’s story arrived just days ago on Jay Leno’s Garage, as Leno became the first outsider to drive the updated long-range production model, joined by Tesla Chief Designer Franz von Holzhausen, and Semi Program Director Dan Priestley.

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Tesla reveals various improvements to the Semi in new piece with Jay Leno

The episode revealed major upgrades heading to volume production this year: the truck sheds roughly 1,000 pounds, adopts a 48-volt architecture, switches to fully electric steering with Cybertruck-derived actuators, and uses 4680 battery cells engineered for an over-one-million-mile lifespan.

Aerodynamics improved, enabling a 500-mile range on the long-haul version, and about 325 miles on the shorter-wheelbase standard-range model. Megachargers can now deliver up to 1.2 megawatts, adding roughly 300 miles in about 30 minutes.

Leno hauled heavy loads and marveled at the turning radius and effortless power delivery. “I don’t feel like I’m pulling anything,” he said during the episode.

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With hundreds of Semis already accumulating over 13.5 million fleet miles and high uptime, the future of heavy-duty trucking looks electric. Drivers are giving raving reviews, and they’re ready to climb aboard the electric trucking industry for good.

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Tesla and SpaceX to merge in 2027, Wall Street analyst predicts

The move, Ives argues, is no longer a distant possibility but a logical next step, fueled by deepening operational ties, shared AI ambitions, and Elon Musk’s vision for dominating the next era of technology.

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Credit: Grok

Tesla and SpaceX are two of Elon Musk’s most popular and notable companies, but a new note from one Wall Street analyst claims the two companies will become one sometime next year, as 2027 could see the dawn of a new horizon.

In a bold new research note, Wedbush analyst Dan Ives has reaffirmed his long-standing prediction: Tesla and SpaceX will merge in 2027.

The move, Ives argues, is no longer a distant possibility but a logical next step, fueled by deepening operational ties, shared AI ambitions, and Elon Musk’s vision for dominating the next era of technology.

He writes:

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“Still Expect Tesla and SpaceX to Merge in 2027. We continue to believe that SpaceX and Tesla will eventually merge into one company in 2027 with the groundwork already in place for both operations to become one organization. Tesla already owns a stake in SpaceX after the company’s $2 billion investment in xAI got converted to SpaceX shares following SpaceX’s acquisition of xAI earlier this year initially tying both of Musk’s ventures closer together but still represents <1% of SpaceX’s expected valuation. The recent announcement of a joint Terafab facility between SpaceX and Tesla further ties both operations together making it more feasible to merge operations given the now existing overlap being built out across the two with this the first step.”

The groundwork is already being laid. Earlier this year, SpaceX acquired xAI, converting Tesla’s $2 billion investment in the AI startup into a small equity stake, less than 1 percent, in SpaceX.

Regulatory filings cleared the transaction in March 2026, formally linking the two Musk-led companies financially for the first time. Then came the announcement of a joint TERAFAB facility in Austin, Texas: two advanced chip factories, one dedicated to Tesla’s AI needs for vehicles and Optimus robots, the other targeting space-based data centers.

Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry

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Ives calls Terafab the “first step” toward full operational integration.

SpaceX’s impending IPO, expected as soon as mid-June 2026, will turbocharge these plans. The company aims to raise approximately $75 billion at a roughly $1.75 trillion valuation, far exceeding earlier estimates.

Proceeds will fund Starship rocket flights, a NASA-contracted lunar base, expanded Starlink services across maritime, aviation, and direct-to-mobile applications, and crucially, orbital AI infrastructure

A major driver is the exploding demand for AI compute. U.S. data centers are projected to consume 470 TWh of electricity by 2030, constrained by power grids and land.

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SpaceX’s strategy, launching millions of solar-powered satellites to host data centers in orbit, bypasses Earth’s energy bottlenecks. Solar energy captured in space avoids atmospheric losses and day-night cycles, offering a scalable solution for AI training and inference.

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The xAI acquisition ties directly into this vision, positioning the combined entity as a leader in extraterrestrial computing.

The merger would create a formidable conglomerate spanning electric vehicles, robotics, satellite communications, human spaceflight, and defense.

Ives highlights SpaceX’s role in the Trump administration’s “Golden Dome” missile defense shield, which would leverage Starlink satellites for tracking.

For Tesla, access to SpaceX’s launch cadence and orbital assets could accelerate autonomous driving, Robotaxi fleets, and Optimus deployment.

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Musk, who has signaled his desire to own roughly 25 percent of Tesla to steer its AI future, views the combination as essential to overcoming fragmented regulatory scrutiny from the FTC and DOJ.

Challenges remain. Antitrust hurdles could delay or reshape the deal, and shareholder approvals on both sides would be required. Yet Ives remains bullish, maintaining an Outperform rating on Tesla with a $600 price target, implying substantial upside from current levels. The analyst sees the merger as the “holy grail” for consolidating Musk’s disruptive tech empire.

If realized, a 2027 Tesla-SpaceX union would not only reshape corporate boundaries but redefine humanity’s trajectory in AI and space exploration. It would mark the moment two pioneering companies become one unstoppable force, pushing the limits of what’s possible on Earth and beyond.

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Tesla ‘Killer’ heads to the graveyard as AFEELA taps out

SHM has officially discontinued development of its highly anticipated AFEELA electric vehicles. On March 25, the joint venture between Sony and Honda announced it would halt the AFEELA 1 luxury sedan and a planned SUV model.

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Credit: AFEELA/X

There have been many Tesla “Killers” over the years, all of which have either failed to dethrone the automaker from its dominance in the United States, or even make it to the market altogether.

The Sony Honda Mobility (SHM) project, known as AFEELA, is the latest to make it to the grave, as the company announced its intentions to abandon the project earlier this week, Bloomberg reported.

SHM has officially discontinued development of its highly anticipated AFEELA electric vehicles. On March 25, the joint venture between Sony and Honda announced it would halt the AFEELA 1 luxury sedan and a planned SUV model.

The decision follows Honda’s March 12 reassessment of its electrification strategy, which scrapped several upcoming EV programs amid slowing demand, high costs, and shifting market conditions.

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SHM stated that it could no longer rely on key Honda technologies and manufacturing assets, leaving “no viable path forward.” Reservation fees for early buyers in California are being fully refunded, and the joint venture’s future is now under review.

Launched with fanfare in 2022, the AFEELA was positioned as a tech-forward premium EV blending Honda’s engineering reliability with Sony’s entertainment and AI expertise.

Prototypes featured advanced autonomous driving systems, immersive in-cabin displays, and even PlayStation integration, earning it early media labels as a potential “Tesla Killer.”

No more “Tesla Killers:” It’s becoming increasingly difficult to distinguish the “EV market” from the mainstream auto segment

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Priced around $90,000, the sedan was slated for limited production at Honda’s Ohio plant with deliveries targeted for late 2026. Industry watchers saw it as a serious challenger to Tesla’s dominance in software, connectivity, and premium appeal.

Yet, like many ambitious EV projects, it fell victim to broader industry headwinds: softening consumer demand, persistent high interest rates, and intense competition from established players.

The AFEELA joins a long list of vehicles once hyped as “Tesla Killers” that failed to deliver. In the late 2010s, Fisker’s second act, the Ocean SUV, promised stylish design and solid-state battery tech but collapsed into bankruptcy in 2024 after production delays, quality issues, and financial shortfalls.

Faraday Future poured billions into the FF 91 luxury sedan, touting it as a hyper-tech rival with unmatched performance and features; the company delivered fewer than 100 vehicles before fading into obscurity.

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Lordstown Motors’ Endurance electric pickup generated massive pre-order buzz and Wall Street excitement but imploded after exaggerated range claims, a factory sale, and eventual bankruptcy.

Even Lucid Motors’ Air sedan, frequently called a Tesla slayer for its superior range and luxury, has struggled with sluggish sales and missed growth targets despite strong reviews.

Lucid unveils Lunar Robotaxi in bid to challenge Tesla’s Cybercab in the autonomous ride hailing race

Rivian’s R1T and R1S trucks enjoyed similar early acclaim and a blockbuster IPO, yet production ramp-up challenges and profitability woes have prevented it from dethroning Tesla.

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The AFEELA’s quiet demise underscores a harsh reality in the EV sector. While Tesla’s first-mover advantage in software, charging infrastructure, and brand loyalty remains formidable, legacy automakers and tech newcomers alike continue to underestimate the complexities of scaling affordable, desirable electric vehicles.

As market realities force tough choices, the graveyard of “Tesla Killers” grows longer, another reminder that innovation alone is rarely enough to topple an established leader.

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