WHAT IS ARTIFICIAL INTELLIGENCE?
Artificial intelligence (“AI”) is a technical field of computer science that includes machine learning, natural language processing, speech processing, expert systems, robotics and machine vision. The term “artificial intelligence” is sometimes challenged in favor of machine intelligence or machine learning.
Machine learning automates decision making using programming rules and in some cases training data sets. Human subject matter experts can provide feedback on results as part of a training process. Machine learning can adapt its programming based on the training process and feedback. The data can be represented by various graph and network structures. For example, an artificial neural network or neural net is a system designed to process information by simulating the framework of biological brains. Deep learning involves abstract representations of data to optimize the machine learning process. Supervised learning uses labelled training data examples to infer functions that can be used for processing new data. A computer can predict or ”guess” the meaning of new data based on the training data set, graph and network structures, and feedback. Reinforcement learning involves rules to control software action in an environment to maximize a reward. Reinforcement learning may not need training data examples with labelled data sets.