How To Plan Today For Tomorrow's AI-Powered Cars

For more than a century, the life of a vehicle has begun in the factory. To ensure a smooth transition to the automotive life cycle of the future, manufacturers must carefully design, build and run datacenters optimized for training artificial intelligence at scale. Autonomous vehicles rely on deep neural networks to handle functions that a human driver would typically be responsible for. These algorithms can perceive the world around the car, plan the vehicle's motion and actuate that path. Before they can safely run in the car, deep neural networks must be rigorously trained in the datacenter, where they are shown millions of hours of driving data, enabling an autonomous vehicle to recognize and react to scenarios on its own.