Ever heard of Robo Brain, a system that scours the Internet and teaches other robots how to think. It exists!
Back in 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". Today, machine learning has become a reality. In fact, machines are now teaching machines. It's no longer science fiction.
Machine learning is currently considered a subfield of computer science and has strong ties to Artificial Intelligence (AI). Hopefully you read the recent article we posted in which the world renowned theoretical physicist Professor Stephen Hawking warning that artificial intelligence could end mankind as we know it.
Machine learning tasks are typically classified into three broad categories - Supervised learning, Unsupervised learning, and Reinforcement learning. In reinforcement learning, a computerized machine interacts with a dynamic environment without a human teacher explicitly telling it what to do, e.g. driving a car or playing a game.
In the early days of AI as an academic discipline, some researchers were interested in having machines learn from data and their focus shifted from AI to building neural networks. In the 1990s, as the field of machine learning started to flourish, the field began narrowing in on solving problems of a more practical nature - especially with the rapid evolution of robotics and their use in a growing number of industries.
Machines Teaching Machines
Twenty years ago humans were teaching machines how to 'think'. Today, machine learning has advanced to the stage where robots are now capable of teaching themselves how to think - without human input. Ever heard of Robo Brain, a system that scours the Internet and teaches other robots how to think. It already exists!