The good, the bad, and the AV

摘要

At its core AI is meant to solve problems, using machines to perform tasks that would traditionally be too time-consuming or complex for humans. A subset of AI machine learning can help us make sense of large data pools, recognising patterns and user intent. Machine learning only becomes AI when the machines start to carry out tasks and interact with humans. Deep learning is a kind of machine learning that uses algorithms to create artificial 'brains' or neural networks that can learn and make decisions on their own. Finally, AI does not equal robots and robots don't equal AI. We are only at the beginning of this convergence and intelligent robots in the mainstream still have some way to go.