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Artificial intelligence was founded as an academic discipline in 1956.[2] The field went through multiple cycles of optimism[3][4] followed by disappointment and loss of funding,[5][6] but after 2012, when deep learning surpassed all previous AI techniques,[7] there was a vast increase in funding and interest.
The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and support for robotics.[a] General intelligence (the ability to solve an arbitrary problem) is among the field's long-term goals.[8] To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, probability, and economics.[b] AI also draws upon psychology, linguistics, philosophy, neuroscience and many other fields.[9]
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Machine Learning the study of programs that can improve their performance on a given task automatically.[39] It has been a part of AI from the beginning.[e]
There are several kinds of machine learning. Unsupervised learning analyzes a stream of data and finds patterns and makes predictions without any other guidance.[42] Supervised learning requires a human to label the input data first, and comes in two main varieties: classification (where the program must learn to predict what category the input belongs in) and regression (where the program must deduce a numeric function based on numeric input).[43] In reinforcement learning the agent is rewarded for good responses and punished for bad ones. The agent learns to choose responses that are classified as "good".[44] Transfer learning is when the knowledge gained from one problem is applied to a new problem.[45] Deep learning uses artificial neural networks for all of these types of learning.
APPLICATIONS OF ARTIFICIAL INTELLIGENCE:
AI and machine learning technology is used in most of the essential applications of the 2020s, including: search engines (such as Google Search), targeting online advertisements,[122] recommendation systems (offered by Netflix, YouTube or Amazon), driving internet traffic,[123][124] targeted advertising (AdSense, Facebook), virtual assistants (such as Siri or Alexa),[125] autonomous vehicles (including drones, ADAS and self-driving cars), automatic language translation (Microsoft Translator, Google Translate), facial recognition (Apple's Face ID or Microsoft's DeepFace) and image labeling (used by Facebook, Apple's iPhoto and TikTok).
There are also thousands of successful AI applications used to solve specific problems for specific industries or institutions. In a 2017 survey, one in five companies reported they had incorporated "AI" in some offerings or processes.[126] A few examples are energy storage,[127] medical diagnosis, military logistics, applications that predict the result of judicial decisions,[128] foreign policy,[129] or supply chain management.
Game playing programs have been used since the 1950s to demonstrate and test AI's most advanced techniques. Deep Blue became the first computer chess-playing system to beat a reigning world chess champion, Garry Kasparov, on 11 May 1997.[130] In 2011, in a Jeopardy! quiz show exhibition match, IBM's question answering system, Watson, defeated the two greatest Jeopardy! champions, Brad Rutter and Ken Jennings, by a significant margin.[131] In March 2016, AlphaGo won 4 out of 5 games of Go in a match with Go champion Lee Sedol, becoming the first computer Go-playing system to beat a professional Go player without handicaps.[132] Then it defeated Ke Jie in 2017, who at the time continuously held the world No. 1 ranking for two years.[133][134][135] Other programs handle imperfect-information games; such as for poker at a superhuman level, Pluribus[l] and Cepheus.[137] DeepMind in the 2010s developed a "generalized artificial intelligence" that could learn many diverse Atari games on its own.[13
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