Self driving cars are a good example of what artificial intelligence can accomplish today. Such tech-centered advances are built on the back of highly trained Machine Learning (ML) algorithms. These algorithms require exhaustive data that help the AI effectively model all possible scenarios. Accessing and pooling all that data needs complex and very expensive real-world hardware setups, aside from the extensive time it takes to gather the necessary training-data in the cloud (to train ML).