Artificial Intelligence is a branch of computer science concerned with making computers behave like humans and pursues to create the computers or machines intelligent as human beings. It deals with the simulation of intelligent behavior in computers. It is the capability of a machine to imitate intelligent human behavior. According to the father of AI, John McCarthy, it is "The science and engineering of making intelligent machines, especially intelligent computer programs". AI is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Artificial intelligence is a latest buzzword in the technology industry. Suddenly all the startups and companies who operate in technology field are claiming to use artificial intelligence or machine learning in one way or the other to solve their customer's problems. But like all other buzzwords, is artificial intelligence also just a hype cycle which will fizzle. Artificial intelligence specifically is notoriously famous for reaching a crescendo of hype every decade and then going through a period of non activity and non investment which is known as the AI winter. So first of all let's try to understand what exactly is artificial intelligence.
Definition – What does Artificial Intelligence (AI) mean? Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry. Research associated with artificial intelligence is highly technical and specialized.
From Uber's advanced computer vision system to Netflix's innovative recommendation algorithm, machine learning technologies are nearly omnipresent in our society. They filter our emails, personalize our newsfeeds, update our GPS systems, and drive our personal assistants. However, despite the fact that such technologies are leading a revolution in artificial intelligence, some would contend that these machine learning systems aren't truly intelligent. The argument, in its most basic sense, centers on the fact that machine learning evolved from theories of pattern recognition and, as such, the capabilities of such systems generally extend to just one task and are centered on making predictions from existing data sets. AI researchers like Rodney Brooks, a former professor of Robotics at MIT, argue that true reasoning, and true intelligence, is several steps beyond these kinds of learning systems.
Cognitive Artificial Intelligence (AI) is any computer program that can think, learn, and generally mimic human cognition. Cognitive computing is the process of understanding and building cognitive computer systems, including AI. Cognitive computing uses machine learning (algorithms that allow machines to learn from past experience by detecting patterns), rather than explicitly programmed algorithms (algorithms with a pre-defined and pre-programed sets of rules). The ultimate goal of cognitive computing is to build fully cognitive Artificial Intelligence. The concept of "smart machines" goes back to early science fiction, Alan Turing's theoretical machines and work on early AI, and the emergence of the term cognitive computing in the 50's. Despite the rich history, current cognitive AI is best understood by simply look at recent projects like Google's DeepMind and IBM's Watson two, similar but different, ways modern tech is going about creating machines that can think like humans.