If critics would like proof, then artificial intelligence is well on its way to showing the world that matter is capable of doing what the mind can. Computers are capable of so much nowadays; they can distinguish faces, organize data, solve equations, and so on. Those who are critical of this theory may point out that although computers can do simple input and output processing tasks, there still needs to be a human that uses the computer to make judgments, reflect, and even be creative. IBM created the
Artificial intelligence is the study of how to makes computers do things which, at the moment, people do better. This definition is vague because of its reference to the current state of computer science. Artificial intelligence is a combination of computer science, physiology and philosophy. AI is a broad topic including many different fields, from machine vision to expert systems. AI can be described as the attempt to build machines that think and act like humans, that are able to learn and to use their knowledge to solve problems on their own.
These functions are often taken for granted as part of human existence. Yet, when thoroughly investigated, these inner-workings of the human brain reveal patterns, methods, and, in general, a science behind the rather ethereal term “intelligence”. For this reason, cognitive psychology is of great interest to researchers in the field of artificial intelligence. If intelligence can be identified in human cognition, then there is a valid chance that that same intelligence can be transferred and re-created in a programmed computer. The development of cognitive psychology has lead to related fields of cognitive neurology, or cognitive neuro-psychology, wherein neurologists study the brain biology behind these cognitive human functions.
Artificial Intelligence For Speech Recognition Abstract Artificial intelligence system for speech recognition is the science and engineering of making intelligent machines, especially intelligent computer programs. Some of its applications are game playing, speech recognition, understanding natural language, computer vision, expert systems, robotics etc. It involves two basic ideas. First, it involves studying the thought processes of human beings. Second, it deals with representing those processes via machines (like computers, robots, etc.).
Artificial Intelligence Artificial Intelligence is a broad topic, consisting of different fields, from machine vision to expert systems. Nowadays with the use of high level techniques, computers have been programmed to solve many difficult problems, but the products that are available today are only a sample of what is coming in the future. AI has an interesting history and has always been on the pioneering end of computer science. In order to classify machines as "thinking", it is necessary to explain intelligence. What is intelligence exactly?
Functionalists see the mind as a functional type with a major role of information processing, rather than the physical brain (113). Therefore computers in the future have the potential to realise this function and once they can, they can be considered to have a mind. To suggest that machines cannot think would take on a solipsist view, which could entail doubting the ability that anyone can think (113). Turing devises a version of the imitation game, where an interrogator questions one human and one machine (in separate rooms) and tries to determine which one is machine. If a machine can pass this test, then they can think (128).
If the standard by which to measure the explanatory value of a view were its revolutionary character, then Turing's (1936) analysis of the concept of computation would be highly valued indeed. Whereas the science of mind was once dominated by behaviorists, today it is dominated by computationalists. For computationalists, the mind/brain is a computer. As computationalists came to shoulder the burden for explaining how the mind/brain works, Turing's analysis of what counts as a computer became the standard by which to justify empirical claims about whether something is a computer. According to Turing, all computers are digital computers and something becomes a (digital) computer just in case its "behavior" is interpreted as implementing, executing, or satisfying some (mathematical) function 'f'.
Alan Turing, a British computer scientist, stated that a computer would deserves to be called intelligent if it could deceive a human into believing that it was human. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way.  "Strong AI" approach claims that modeling the human mind is necessary for creating some form of computer-based AI that can truly reason and solve problems. A strong form of AI is said to be sentient (self-aware). In contrast, "weak AI" approach focus instead on simulating intelligence (attempting to create machines which will be perceived as intelligent by their users) rather than trying to create it through a model of the mind.
Introduction Artificial intelligence is a branch of science that deals with electronic devices or machines that help in finding solutions of the complex problems in the same pattern as humans do. This usually comprises on features and traits borrowing from human intelligence, and applies them as computer algorithms in a friendly way. An efficient approach can be adopted depending on the appropriate requirements, which affect how artificial intelligent behavior appears. Artificial intelligence in general, is related with the field of computer science, but it has important linkages with other areas such as Mathematics, Psychology, Cognition, Biology and Philosophy, are among many other fields. Human beings have the ability to combine the knowledge of all these fields that ultimately benefit progress in the pursuit to craft artificial intelligent existence.
Artificial intelligence or Al for short capability of a computer to perform functions that is normally associated with human intelligence, such as reasoning, learning or self-improvement. Its concept requests a lot more than present information to the user; it requires that the machine is not only able to store and manipulate information but also to deal with its "meaning". AI is what we call understanding, a combination of computer science, physiology and philosophy. The element that the fields of Al have in common is the creation of machines that can "think". In order to classify machines as "thinking", it is necessary to define intelligence.