Tesla (NASDAQ:TSLA) was awarded a patent on Tuesday for creating a sytem and method for adapting a neural network model on a hardware platform. The patent application dates back to March 16, 2023.

Independent patent researcher SETI Park speculated on social media site X that the Tesla (TSLA) patent could be related to implementing FSD on other brands. The Austin-based company has not released any specific information on licensing FSD.

The patent application said the method includes obtaining neural network model information comprising decision points associated with a neural network, with one or more first decision points being associated with a layout of the neural network. It was also noted that machine learning applications may often be desirable to implement and/or configure neural networks on previously unimplemented platforms.

“For example, autonomous vehicles may be constrained to implement neural networks for their artificial intelligence systems using a relatively limited set of hardware implemented in the vehicle itself, which may lead to hardware platform constraints in terms of implementation and performance.

Increasingly, there is also a demand for machine learning and deep learning on mobile devices such as smart phones and tablets. In order to enable deep learning and other processing-heavy and computationally intensive techniques, the neural network model used must be adapted to generate configurations that satisfy all constraints of the platform in question.”