Tesla has sued a former employee who it’s accusing of stealing trade secrets associated to its supercomputer project, Bloomberg reported on Friday. According to a submitting within the U.S. District Court in San Jose, thermal engineer Alexander Yatskov stop on May 2 after having joined the company solely a few months earlier, in January. According to Tesla, Yatskov admitted to transferring confidential data to his personal gadgets and later handing over a “dummy” laptop computer after company officers confronted him on suspicion of theft.
In addition to breaching a non-disclosure settlement meant to guard trade secrets, Bloomberg studies that Tesla can also be accusing Yatskov of misrepresenting his expertise and expertise on his resume. Bloomberg additionally says that Yatskov declined to remark.
“This is a case about illicit retention of trade secrets by an employee who, in his short time at Tesla, already demonstrated a track record of lying and then lying again by providing a ‘dummy’ device to try and cover his tracks,” Tesla wrote within the submitting, studies Bloomberg.
CEO Elon Musk has been teasing Tesla’s supercomputer project, known as “Dojo,” since at the very least 2019. Last summer time, the company lastly defined the project in additional element, laying out a aim of utilizing AI to investigate huge quantities of auto information, ideally leading to a safer, extra refined autonomous driving expertise. The computer, which presents 1.8 exaflops of efficiency and 10 petabytes of NVME storage working at 1.6 terabytes per second, trains itself utilizing video from eight cameras inside Tesla automobiles working at 36 frames per second.
Tesla claimed final year that though this method generates a large quantity of information, it’s nonetheless extra scalable than constructing high-definition maps around the globe. At the time, Tesla indicated that the system was most profitable in sparsely populated areas the place automobiles might largely drive uninterrupted. Even so, the company additionally touted some early successes in denser areas, together with Dojo’s capability to be taught new kinds of visitors warnings, pedestrian collision detection and pedal misapplications (by accident hitting the gasoline as a substitute of the brakes).
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