Artificial intelligence is the future. Artificial intelligence is science fiction. Artificial intelligence is already part of our everyday lives. All those statements are true, it just depends on what flavor of AI you are referring to.
Our means for gathering data have largely outstripped our tools for analyzing that data. The result is a mountain of unstructured and largely inaccessible information gathered from social media, app permissions, website cookies and hardware and software service agreements.
Deep learning is a topic that is making big waves at the moment. It is basically a branch of machine learning (another hot topic) that uses algorithms to e.g. recognize objects and understand human speech.
Deep learning takes the concept of machine learning even deeper (pun intended), and can model complex non-linear relationships consisting of many layers. Deep learning is often mentioned interchangeably together with artificial/deep neural networks, which can be viewed as a biologically inspired programming paradigm that enables a computer to learn from observational data. Deep learning is considered the technique we apply to learn in neural networks.
What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning.