What is called Artificial Intelligence(AI)?

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Today i'm share about AI


In computer science artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines in contrast to the natural intelligence displayed by humans. Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind such as "learning" and "problem solving".
As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. A quip in Tesler's Theorem says "AI is whatever hasn't been done yet." For instance,optical charcter recognation is frequently excluded from things considered to be AI, having become a routine technology.Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go),autonomously operating cars, intelligent routing in content delivery network and.military simulations.
Artificial intelligence can be classified into three different types of systems: analytical, human-inspired, and humanized artificial intelligence.Analytical AI has only characteristics consistent with cognitive intelligence generating a cognitive representation of the world and using learning based on past experience to inform future decisions. Human-inspired AI has elements from cognitive and emotional intelligence understanding human emotions, in addition to cognitive elements, and considering them in their decission making. Humanized AI shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), is able to be self-concious  and is self-aware in interactions.

Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism followed by disappointment and the loss of funding (known as an "AI winter") followed by new approaches, success and renewed funding. For most of its history, AI research has been divided into subfields that often fail to communicate with each other.These sub-fields are based on technical considerations, such as particular goals (e.g. "robotics" or "machine learning")the use of particular tools ("logic" or artificial neural network), or deep philosophical differences.Subfields have also been based on social factors (particular institutions or the work of particular researchers.

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