Bosch and Nvidia Partner to Develop AI-powered Self-driving Car Tech

Some time ago we posted a story about Nvidia’s new deep learning research lab. Since then, the company has announced a new partnership, this time with the leading tier one German auto industry supplier, Bosch.

See our previous post on Nvidia: Deep Learning Cooperation: German Research Centre for Artificial Intelligence joins the NVIDIA AI Lab

Bosch will build an AI supercomputer designed for use in vehicles using Nvidia tech, which means Nvidia now has a partner that already has extensive supply relationships with all major car makers in the world.

It is, however, only the latest partner for Nvidia’s AI-powered self-driving car tech, joining automakers like Audi and Mercedes-Benz, but it is one that could potentially have the most impact in giving Nvidia reach and influence across the industry. The German company’s product portfolio ranges from home appliances, to infotainment solutions, to virtually everything in between.

The relationship is strategic alllowing lets both partners to focus on their strengths: Nvidia focusing on developing the core AI supercomputing tech, and Bosch providing relationships and sales operations that offer true scale and reach.

Nvidia’s deep learning model does not depend on specific rules being coded for each individual situation; instead, it provides the systems with a number of examples based on human behaviour, and then the AI can determine on its own what to do in specific scenarios. The mid-step implementation of this tech is Nvidia’s AI co-pilot, which will allow the vehicle to work with a human driver to understand where their attention is directed and provide warnings about undetected hazards, as well as read a driver’s lips and use audio cues to understand commands regardless of the in-vehicle noise environment.

Bosch’s super computer will use Nvidia’s Drive PX line with Xavier architecture, which is the world’s first single-chip processor that can manage Level 4 autonomous driving capabilities.

Photo credit: Material used in the preparation of this article has been drawn from TechCrunch.


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