The Neural Net of electric vehicle maker Tesla continues to improve regularly, and it seems that the company would like to make sure that it evolves at a faster rate. A new Tesla patent reveals that the company would like to enable a more efficient autonomous driving systems on Tesla vehicles. It would be made possible through a new data pipeline focused on more optimized data processing. The recently spotted Tesla patent titled "Data Pipeline and Deep Learning System for Autonomous Driving" was published just a couple of days ago. The concept is that Tesla would revolutionize and improve beyond deep learning systems used for autonomous vehicles.

Tesla's Neural Net continues to improve and become more advanced on a daily basis, but it appears that the electric car maker is making sure that it will evolve at an even faster rate in the future. A recent patent, for example, would allow Tesla's autonomous driving systems to work more efficiently, thanks to a new data pipeline focused on optimized image processing. Tesla's patent for "Data Pipeline and Deep Learning System for Autonomous Driving" was published on December 26. The idea behind the patent is to revolutionize and improve upon past deep learning systems that have been used for autonomous driving vehicles. In the past, these systems have used "captured sensor data" to retrieve information.