What Artificial Intelligence Can Really Teach Us – Breathe Publication

Although it seemed like an afterthought, that introduction was the beginning of the mass movement within A.I. and Deep Learning. Artificial Intelligence (A.I., otherwise known as Machine Intelligence), is, as the name suggests: intelligence that is displayed by machines in comparison to our known, natural intelligence -- intelligence displayed by humans and other animals. From its root dating back to the summer of 1956 in Dartmouth College, the term "Artificial Intelligence" was coined by a group of scientists and mathematicians that was derived from a brainstorming session in which ways that robots and machines could simulate and potentially solve some issues in society. From then, the fascination with robots taking over the world (whether for good or evil) has been depicted in pop culture and movies, especially in the old movies in the 1960s and 1970s. A.I. has a wide range of technologies such as logic and rule-based systems that enables computers and robots to solve problems in ways that at least superficially resemble thinking. A subset of A.I. is a term, called -- Deep Learning. Deep Learning, believe it or not, is in our pockets! It is the training of our machines, software and applications. The best simplification of Deep Learning could be thought of as "A to B mappings", according Andrew Ng, the chief scientist at Baidu Research.