The research partnership focuses on optimizing the speed of neural networks, as well as protecting AI systems in safety-critical applications. Both Continental and UC Berkeley DeepDrive (BDD) are driven to implement the AI research results into series production as quickly as possible.
In the first year of the program membership, Continental and BDD are focused on two fields of research. First is the testability of AI algorithms in safety-relevant systems. Drivers need to be sure that the complex technology in their vehicles will work properly, so BDD is developing methods that will allow the reliability of AI systems to be tested more efficiently. The researchers at the center are also looking at how to operate AI applications in a memory-efficient way to accelerate and optimize neural networks. This will allow easier implementation of AI methods in vehicles.