Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. 'Strong' AI is usually labelled as artificial general intelligence (AGI) while attempts to emulate 'natural' intelligence have been called artificial biological intelligence (ABI). Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of achieving its goals. Colloquially, the term "artificial intelligence" is often used to describe machines 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 character recognition 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), and also imperfect-information games like poker, self-driving cars, intelligent routing in content delivery networks, and military simulations.Artificial intelligence was founded as an academic discipline in 1955, 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. After AlphaGo defeated a professional Go player in 2015, artificial intelligence once again attracted widespread global attention. For most of its history, AI research has been divided into sub-fields 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 networks), or deep philosophical differences. Sub-fields have also been based on social factors (particular institutions or the work of particular researchers).The traditional problems (or goals) of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects. AGI is among the field's long-term goals. Approaches include statistical methods, computational intelligence, and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, artificial neural networks, and methods based on statistics, probability and economics. The AI field draws upon computer science, information engineering, mathematics, psychology, linguistics, philosophy, and many other fields. The field was founded on the assumption that human intelligence "can be so precisely described that a machine can be made to simulate it". This raises philosophical arguments about the mind and the ethics of creating artificial beings endowed with human-like intelligence. These issues have been explored by myth, fiction and philosophy since antiquity. Some people also consider AI to be a danger to humanity if it progresses unabated. Others believe that AI, unlike previous technological revolutions, will create a risk of mass unemployment.In the twenty-first century, AI techniques have experienced a resurgence following concurrent advances in computer power, large amounts of data, and theoretical understanding; and AI techniques have become an essential part of the technology industry, helping to solve many challenging problems in computer science, software engineering and operations research.
Article Title : Artificial intelligence
Article Snippet :Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves
Article Title : Unigine
Article Snippet :architectural visualization projects of AI3D Bell-206 Ranger rescue helicopter simulator Magus ex Machina (3D animated movie) SIMREX CDS, SIMREX FDS,
Article Title : NeuroAiD
Article Snippet :Neuroaid (also NeuroAiD, MLC 601, or MLC 901) is a claimed treatment for stroke sold by Moleac Pte Ltd, a biopharmaceutical company in Singapore. There
Article Title : Kizuna AI
Article Snippet :Kizuna AI (Japanese: キズナアイ, Hepburn: Kizuna Ai) is a Japanese virtual YouTuber (VTuber) currently part of Kizuna AI Inc., a subsidiary of Activ8. As of
Article Title : .ai
Article Snippet :companies in the artificial intelligence industry (AI). Registrations within off.ai, com.ai, net.ai, and org.ai are available unrestrictedly, worldwide. From
Article Title : Ai Weiwei
Article Snippet :Ai Weiwei (Chinese: 艾未未; pinyin: Ài Wèiwèi, English pronunciation (help·info); born 28 August 1957) is a Chinese contemporary artist and activist. Ai
Article Title : AI Dungeon
Article Snippet :AI Dungeon is a free-to-play single-player and multiplayer text adventure game which uses artificial intelligence to generate content. It also allows players
Article Title : Artificial general intelligence
Article Snippet :consciousness. Today's AI is speculated to be decades away from AGI. In contrast to strong AI, weak AI (also called narrow AI) is not intended to perform
Article Title : Princess Ai
Article Snippet :Princess Ai /ˈprɪnsɛs aɪ/ (Japanese: プリンセス·アイ物語, Purinsesu Ai Monogatari; English: The Story of Princess Ai) is a manga series created and co-written by
Article Title : AI takeover
Article Snippet :An AI takeover is a hypothetical scenario in which some form of artificial intelligence (AI) becomes the dominant form of intelligence on Earth, with computer
The A-I-3D MBA Vantage Point algorithm is the latest outcome of Artificial Intelligence applied to information processing. The A-I-3D MBA Vantage Point is based upon the unrivaled power of web scraping robots associated with neural networks and machine learning applied to the semantic analysis of hundred of thousands of different information sources such as Business Schools websites, discussion forums on Education topics, and everything needed for the computation of the full-time MBA rankings, based on a careful selection of meaningful indicators.
The A-I-3D MBA Vantage Point algorithm performs MBA statistical analysis of employment data collected according to the MBA CSEA Standards for Reporting Employment Statistics. These standards form the basis for defining how MBA programs should report full-time MBA employment statistics and other career information, including starting base salaries, signing bonuses, and what proportion of MBA graduates have jobs at graduation and three months after. Using industry standards ensures that the MBA Guidebook algorithm provides prospective students with accurate and comparable employment information for each school.
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The Master of Business Administration (MBA) program made its beginning at the Tuck School of Business in the late 19th century in the United States. It is one of the most popular master's degrees and is beneficial to business and management professionals or graduates. Students can gain valuable knowledge about business and related curriculum with an MBA. As an MBA student or prospective student you can expect rigorous training that is necessary to take on business situations. Graduates leave with valuable network alliances through student interaction and MBA associations. There are a multitude of career opportunities for MBA graduates.
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