Cloud Hosting

Currently, Tesla is World leader in electric cars, However, the American company is not satisfied with this and wants to become the leader in one of the main battles in the automotive industry: autonomous vehicles.

Tesla has made public for the first time artificial intelligence technology that it has been developed for use in its self-driving cars. With this, he hopes to revolutionize the transportation industry and be the first to offer these vehicle models.

Teslas AI system is called dojo and has expanded its operations at the Hot Chips conference. Dojo assembled hundreds of its D1 chips into giant exods, The system is responsible for analyzing the video of the fleet of Tesla cars that are currently being circulated on the roads. How driving works in the real world,

in detail cnetThis artificial intelligence is the basis of your system full self drivingWith which Tesla hopes to drive its cars at highway intersections, parking lots and traffic signals.

Even then, Tesla has had trouble offering FSDs to its customers, many of whom paid for it years ago. Developing this AI is much more complicated than Tesla expected, which has slowed him down his time. Dojos vast computing power is finally there to make self-driving Teslas a reality.

FSD is currently in limited beta testing and requires ongoing human monitoring Disqualifies Tesla as true self-driving cars, But that doesnt deter Elon Musk from insisting that this technology will pave its way toward autonomous vehicles that dont need a human.

OK, FSD is giving Musk a headache. Just a few days ago, it announced that the price of the service would go from $12,000 to $15,000. Self-driving pervasively is a difficult problem that requires a great deal of real-world AI to solve, Musk tweeted in 2021.I didnt expect it to be so hardBut the difficulty is apparent in retrospect.

Even then, dojo something not current, The American brand has already started talking about this technology in 2021. But until now Tesla hasnt detailed how these D1 chips work and how they are interconnected by the dozens or hundreds into a vast computing fabric.

,We need to speed up these AI processorsDescription: Ganesh Venkataraman, who leads Teslas autonomous vehicle team. To achieve this, manufacturers start by designing chips based on their needs, primarily in the processing of video data that adapts to the cars changing environment. tracks.

D1 chips are packaged in groups of 25 the width of a platter in a single square training room. These cells join the edges to form a grid with their neighbors. The data moves from tile to tile, with cars zipping through city streets or, in the case of long journeys, using a network that is like a train.

To speed up the process and tailor it to your needs, Tesla plans to move the AI process from nvidia processor for dojo, but it is not yet known at what stage this change is. Weve had the hardware for a long time, and weve been running it in the lab, says the engineer. hardwareEmile Talpes.

As complicated as the dojo can be, deep down This is the biggest asset Tesla has against traditional brands, The rest of the manufacturers rely on an extensive network of component suppliers to be able to develop their technologies, which slows down the process. In other words, Musks company applies vertical integration,

This integration is on the rise because it allows companies to have tighter control over their products and services so that they can work together for customers. In addition, this means that these companies are not required to share profits with anyone else. In Teslas case, this allows them to regularly update their softwareA service for which he charges $10 a month.

Read more here:
This Is The Artificial Intelligence System With Which Tesla Wants To Impose Itself On The Autonomous Car - Nation World News