Machine Learning (ML) is a subfield of Artificial Intelligence that allows computer systems to learn from data and make decisions without being explicitly programmed. There are various types of ML, including supervised learning, unsupervised learning, and reinforcement learning.
An example from the automotive industry where ML plays a role, is the development of autonomous vehicles. In this case, ML can be used to enable the vehicle to learn from the data it receives through its sensors and make decisions. For example, an autonomous vehicle can use cameras and laser scanners to perceive its surroundings and then use ML algorithms to decide how to behave in traffic.
In the automotive industry, Virtual Reality and Serious Gaming are also used to facilitate the development and testing of autonomous vehicles in a realistic environment. For instance, a virtual driving simulator can be used to test the autonomous vehicle in a virtual environment and adapt its decisions and actions to different scenarios. ML can be used to improve the decisions of the autonomous vehicle based on the experiences it gathers in the simulator.