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Tesla patents new neural AI chip to improve self driving ability


The company has filed a series of patents which confirm that it is working on a new AI chip, which is set to act as a ‘neural net accelerator’ for its Autopilot Hardware 3.0 computer upgrade

The release of the upcoming upgrade will replace Tesla’s currently used Autopilot 2.0 platform and enable full self-driving capabilities in the car.

According to a patent filed with USTPO, traditional processors are able to quickly perform single mathematical operations but have limitations. These processors only work on a small amount of data at a time.

While GPUs can execute multiple tasks with larger datasets, they weren’t originally developed for machine learning and AI. According to the patent: “Processing for machine learning and artificial intelligence typically requires performing mathematical operations on large sets of data and often involves solving multiple convolution layers and pooling layers.”

Tesla developed the new neural AI to counteract this problem, so that the AI can conduct machine learning and artificial intelligence specific processing operations.

The automotive firm filed a handful of patents for:

  • An accelerated mathematical engine
  • A Computational Array Microprocessor system with a variable latency memory access
  • A Computational array microprocessor system using non-consecutive data formatting
  • A Vector Computational Unit.

Tesla CEO Elon Musk even asked his employees to test the Autopilot Hardware 3.0. Hot Hardware reports that “employees who own a Tesla and serve as a beta tester will have the Full Self-Driving (FSD) package installed into their vehicle at no cost.”

On his part, Elon Musk stated that the Autopilot Hardware 3.0 will be made available in the next few months.

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