Elon Musk on Tesla AI Day unvieled the Tesla Bot and DoJo the advanced Supercomputer. The Tesla Humanoid Robot and Tesla’s AI architecture is depedent on Dojo. The chip that Tesla revealed on Thursday is called “D1,” and it contains a 7 nm technology. Elon Musk wants Tesla to be seen as “much more than an electric car company.” On 20 of August Tesla AI Day, the CEO described Tesla as a company with “deep AI activity in hardware on the inference level and on the training level” that can be used down the line for applications beyond self-driving cars, including a humanoid robot that Tesla is apparently building.
#TeslaBot, #Dojo, #ElonMusk
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When Tesla talks about using its advanced technology in applications outside of cars, we didn’t think he was talking about robot slaves. That’s not an exaggeration. CEO Elon Musk Tesla & SpeceX CEO envisions a world in which the human drudgery like grocery shopping, “the work that people least like to do,” can be taken over by humanoid robots like the Tesla Bot. The bot is 5’8″, 125 pounds, can deadlift 150 pounds, walk at 5 miles per hour and has a screen for a head that displays important information.
“It’s intended to be friendly, of course, and navigate a world built for humans,” said Musk. “We’re setting it such that at a mechanical and physical level, you can run away from it and most likely overpower it.”
Because everyone is definitely afraid of getting beat up by a robot that’s truly had enough, right?
The bot, a prototype of which is expected for next year, is being proposed as a non-automotive robotic use case for the company’s work on neural networks and its Dojo Advanced Supercomputer. Musk did not share whether the Tesla Bot would be able to dance.
Tesla director Ganesh Venkataramanan unveiled Tesla’s computer chip, designed and built entirely in-house, that the company is using to run its supercomputer, Dojo. Much of Tesla’s AI architecture is dependent on Dojo, the neural network training computer that Musk says will be able to process vast amounts of camera imaging data four times faster than other computing systems. The idea is that the Dojo-trained AI software will be pushed out to Tesla customers via over-the-air updates.
The chip that Tesla revealed on Thursday is called “D1,” and it contains a 7 nm technology. Venkataramanan proudly held up the chip that he said has GPU-level compute with CPU connectivity and twice the I/O bandwidth of “the state of the art networking switch chips that are out there today and are supposed to be the gold standards.” He walked through the technicalities of the chip, explaining that Tesla wanted to own as much of its tech stack as possible to avoid any bottlenecks. Tesla introduced a next-gen computer chip last year, produced by Samsung, but it has not quite been able to escape the global chip shortage that has rocked the auto industry for months. To survive the shortage, Musk said during an earnings call this summer that the company had been forced to rewrite some vehicle software after having to substitute in alternate chips.
The two main problems that Tesla is working on solving with its computer vision architecture are temporary occlusions – like cars at a busy intersection blocking Autopilot’s view of the road beyond – and signs or markings that appear earlier in the road – like if a sign 100 meters back says the lanes will merge, the computer once upon a time had trouble remembering that by the time it made it to the merge lanes.
To solve for this, Tesla engineers fell back on a spatial recurring network video module, wherein different aspects of the module keep track of different aspects of the road and form a space-based and time-based queue, both of which create a cache of data that the model can refer back to when trying to make predictions about the road.