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NVIDIA and Bosch partner on AI self-driving car supercomputer
NVIDIA CEO Jen-Hsun Huang announced to attendees at the Bosch Connected World conference in Berlin this week that they have partnered with Bosch to producing an artificial intelligence supercomputer aimed at the self-driving car industry.
“I’m so proud to announce that the world’s leading tier-one automotive supplier — the only tier one that supports every car maker in the world — is building an AI car computer for the mass market,” said Huang. “We’ve really supercharged our roadmap to autonomous vehicles. We’ve dedicated ourselves to build an end-to-end deep learning solution. Nearly everyone using deep learning is using our platform.”
The announcement made by NVIDIA comes on the heels of this week’s announcement that the world’s leading chipmaker Intel will be acquiring ex-Tesla Autopilot partner Mobileye for $15 billion.
NVIDIA’s Drive PX platform with Xavier technology can process up to 30 trillion deep learning operations a second while drawing just 30 watts of power. It is intended to provide Level 4 autonomy, where a vehicle equipped with the technology can drive on its own.
Huang noted that a wide variety of companies are actively working on self-driving solutions. From carmakers like Audi, Ford, BMW, and Tesla, to technology companies such as Waymo, Uber and China’s Baidu.
As the self-driving car industry continues to take shape, vehicles will require an unprecedented level of computing power to make instantaneous decisions on nearly an infinite number of scenarios that can take place in a real world environment. Though vehicles on the road today are equipped with driving-assist features like Tesla Autopilot that allows the car to detect object and handle acceleration and braking when needed, the requirements for autonomous driving are dramatically more demanding. Cars that stray from their lanes, objects that fall onto the roadway, rapid shifts in weather conditions, deer that dart across the road. The permutations are endless, said Huang.
Despite the positive outlook on a self-driving future being presented at Bosch Connected World, the conference also revealed a significant difference of opinion between the companies in attendance regarding when they expect full Level 5 autonomy – when a vehicle can drive entire on its own without human involvement – to become widely available. Huang told the conference he expects to have chips available that will permit Level 3 automated driving which still requires a human driver to intervene, by the end of this year. He sees those chips being incorporated into customers’ cars and on the road by the end of 2018. The following year will see chips capable of Level 4 full autonomy on the road. The distinction between Level 4 and Level 5 full autonomy is that Level 4 does not cover every driving scenario.
Elmar Frickenstein, the head of autonomous driving at BMW, told the conference his company will be ready to offer cars with Level 3 capability in 2021 with Level 4 and Level 5 autonomy following shortly thereafter. He thinks self-driving cars may first be produced in small numbers for fleet customers like Uber, Waymo, and Baidu.
Surprisingly, Bosch CEO Volkmar Denner told the attendees his timeline for fully self-driving cars for mainstream customers is not before 2025, if then.
Fully self driving cars that can operate in all environments require enormous computing power, Huang told the conference. “No human could write enough code to capture the vast diversity and complexity that we do so easily, called driving,” he said.
The conference highlighted the differences between traditional car companies, which think full autonomy is still 7 to 10 years away, and chip companies like NVIDIA who see a much shorter timeline. Huang thinks companies like his will drive the pace of change faster than predicted. “In the near future, you’re going to see these schedules pull in,” he says.
Tesla, which uses a supercomputer made by NVIDIA on Model S, Model X and the upcoming Model 3 that are equipped with Autopilot 2.0 full self-driving hardware, is perhaps the most optimistic of all when it comes to having fully autonomous vehicles on the road. Elon Musk believes every car equipped with the Hardware 2 package will begin seeing Full Self-Driving capabilities as early as this year, barring regulatory approval.
Tesla’s Full Self-Driving Capability to arrive in 3 months, “definitely” by 6 months, says Musk
Tesla is accumulating driving data from billions of miles of real world driving each day and using that information to improve its algorithm for Autopilot.
In a remarkable demonstration of how advanced vehicle technology can intersect with family care and rapid response, a Tesla Model Y equipped with Full Self-Driving (FSD) Supervised helped save a driver’s life during a severe heart attack. The incident, which occurred on November 15, 2025, highlights the life-saving potential of Tesla’s connected ecosystem.
John Brandt, 55, was driving his new 2026 Model Y Launch Edition on Interstate 20 from Atlanta toward Birmingham early that morning. He had recently received the FSD v14.1.3 update. Around 3:50 a.m., he began experiencing severe chest pain. Barely conscious and unable to safely control the vehicle, John managed to call his son, Jack Brandt.
FSD Supervised remained engaged, keeping the car steadily on course while John reached out for help.
As an authorized driver on his father’s Tesla account, Jack quickly sprang into action from his own phone. He located Tanner Medical Center in Carrollton, Georgia—a facility equipped for cardiac emergencies—via Google Maps and shared the destination directly through the Tesla app.
A Model Y driver started experiencing a medical emergency with chest pain mid-drive & called his son.
His son then remotely rerouted the car – which had FSD Supervised enabled – to the nearest hospital & let them know the vehicle was en route. ER staff were standing by on… pic.twitter.com/yi1tHISK9y
— Tesla North America (@tesla_na) June 16, 2026
The Model Y responded immediately, rerouting: it took the next exit, turned around on I-20, navigated local roads, and pulled directly up to the emergency room entrance. Jack also alerted hospital staff that a heart attack patient was en route in a Tesla.
Doctors diagnosed John with a massive STEMI heart attack, requiring immediate intervention on three blocked arteries. They later confirmed that without the swift reroute, John likely would not have survived—whether he had pulled over to wait for an ambulance or attempted to continue driving. He received life-saving treatment and is now recovering fully.
Tesla shared the story on X, including an interview video featuring John and Jack reflecting on the event. John described the terrifying onset of symptoms, while Jack detailed the ease of remote intervention thanks to the app’s features. Only authorized users with vehicle access can change navigation destinations, adding a layer of security and family coordination.
This case underscores Tesla’s emphasis on connectivity and supervised autonomy. Features like remote navigation allow loved ones to assist in real-time emergencies, while FSD handles complex driving tasks reliably. Tesla notes that FSD Supervised requires active driver supervision and is not fully autonomous; this was a specific incident, not a general emergency protocol.
The story has resonated widely, with many praising Tesla’s technology for bridging gaps in critical moments. Jack previously shared details on social media in February 2026, and Tesla’s recent post has amplified its reach. As vehicles become smarter and more connected, such integrations could redefine personal safety on the road—turning cars into proactive partners in health crises.
For Tesla owners, the incident serves as a powerful reminder to add trusted family members as authorized drivers and explore FSD capabilities. While no technology replaces professional medical care, this blend of AI-assisted driving and seamless app control proved invaluable. John’s survival stands as a testament to innovation that prioritizes human life.
In a bold declaration on X, xAI CEO Elon Musk announced that its model will be capable of creating full movies by the end of the year. Quoting an xAI post showcasing a stunning AI-generated trailer for Homer’s The Odyssey, Musk simply stated: “Full movies by the end of the year.”
The quoted video, created entirely with the newly released Grok Imagine Video 1.5, demonstrates the rapid strides in AI video generation. Crafted by creator David Thompson, the 2-minute-plus trailer reimagines the ancient epic in the style of a 1970s classical Hollywood blockbuster. It features 36 meticulously consistent shots that form a cohesive narrative world.
Full movies by the end of this year https://t.co/kkBrngWA0X
— Elon Musk (@elonmusk) June 17, 2026
Its realistic nature is truly mind-blowing, and it’s pretty amazing to think that it cool to think it could create an entire movie soon.
The trailer reimagines The Odyssey as a whole, and opens with a concept board outlining the vision: a retelling of the story using 35mm film aesthetics, classical framing, and other elements.
There are a handful of things that truly outline Grok’s capabilities:
- Scale and Physics: A bloodied Spartan helmet rests on a sandy battlefield amid smoke, marching armies, and flocks of birds. Horses gallop, chariots charge, and warriors clash with believable weight and motion.
- Emotional Depth and Dialogue: Close-ups capture intense expressions, as characters deliver lines like a warrior’s grief-stricken speech on a rocking ship.
- Cinematic Workflow: It’s hard to believe AI created this trailer, as editing and suspense are clearly detailed in this trailer
Now, why is this a big deal? AI has been a real threat to the way movies have been made over the past several decades. It’s no secret that the various AI platforms out there are becoming more capable, but Musk has said that he believes things would be “watchable” by the end of this year, and by the end of 2027, Grok would be able to create “really good” movies.
There are several issues that remain, most notably the ability to remain cohesive throughout the length of a film, energy requirements, copyright questions for training data, and artistic intent. Hollywood has created some of the greatest cinematic masterpieces over the past 100 years, but 2026 could be the year AI not only assists but also independently authors cinema.
Tesla is continuing to push the boundaries of vehicle dynamics, as its latest published patent, US12654505B2, or “Suspension Actuator System for a Vehicle,’ which has finally been pushed through.
The design, which is credited to inventors Brian Lee Doorlag, Avraham Kagan, and Justin Sill, introduces a sophisticated hybrid suspension design that blends active motor-driven control with strategic passive elements to deliver superior ride quality, energy efficiency, and resilience against road imperfections, especially potholes.
Suspension Actuator System for a Vehicle@Tesla‘s US20240383297A1 patent introduces an innovative suspension actuator system that transforms vehicle suspension control through an intelligent combination of active and passive control elements.
By implementing both series and… https://t.co/vRvlOu3Dql pic.twitter.com/2WriXgpOvr
— SETI Park (@seti_park) November 27, 2024
At the heart of the system is an active control element powered by an electric motor. This motor drives a belt connected to a ball nut assembly and threaded screw, which adjusts the effective length of the suspension strut in real time.
By extending or retracting, the actuator can lift or lower the wheel more accurately, which can end up countering road disturbances. Sensors, including accelerometers and wheel position monitors, feed data to a suspension control system that processes inputs and commands the motor instantly.
This active component doesn’t work alone. A low-rate air spring mounts in parallel with the actuator. Its primary role is to offset much of the vehicle’s static weight, dramatically reducing the power demand on the motor.
Without this, the active system would constantly fight gravity, draining energy and generating heat. The air spring handles steady-state loads efficiently, allowing the motor to focus on dynamic adjustments.
Complementing this is a series of passive control elements—a spring and an adaptive damper—placed between the actuator and the wheel. This setup filters high-frequency vibrations before they reach the active motor, preventing it from overworking on minor inputs. The adaptive damper, potentially magnetorheological or valve-controlled, further tunes damping electronically for optimal comfort and stability.
How It Differs from Traditional Suspensions
Traditional passive suspensions compromise between comfort and handling, while pure active systems can be power-hungry and complex. Tesla’s hybrid approach resolves this by delegating tasks: the parallel air spring manages weight and low-frequency body motions, the series elements absorb rapid vibrations, and the active actuator tackles larger, lower-frequency events.
The result is a smoother, more isolated cabin experience. High-frequency road noise and harshness diminish, while the vehicle maintains precise control during cornering or acceleration. Energy efficiency improves, too—lower motor loads mean reduced battery drain, potentially extending range in electric vehicles.
How It Mitigates Potholes Specifically
Potholes are a major challenge because they provide a sudden drop to the wheel plunge, jarring the body of the vehicle, risking damage. The patent explicitly addresses this. Upon detecting a pothole (via sensors or predictive mapping), the control system activates
the motor to retract the strut, effectively pulling the wheel upward to minimize downward excursion. The series spring/damper cushions the impact, while the parallel air spring maintains overall support.
This proactive “wheel retraction” prevents sharp jolts, preserving passenger comfort and protecting components. Integrated with Tesla’s road roughness mapping patents, the system could anticipate potholes from fleet data, enabling preemptive adjustments for even smoother navigation.
Future Implications for Tesla Vehicles
This technology builds on Tesla’s existing adaptive dampers and air suspension that is seen in Cybertruck, but advances toward fully active control. It could roll out to future models, including refreshed Cybertrucks or next-gen vehicles, enhancing both daily drivability and off-road capability. By minimizing power use and complexity, it aligns with Tesla’s goals of efficiency and scalability.
In summary, US12654505B2 exemplifies Tesla’s engineering philosophy: intelligent integration over brute force. This hybrid suspension promises quieter, more comfortable rides and robust pothole defense, potentially setting a new standard for automotive comfort. As Tesla iterates, drivers can look forward to roads feeling far less rough.
Tesla Full Self-Driving and App Connectivity save life in medical emergency
Elon Musk predicts Grok will start to challenge Hollywood by the end of 2026
