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The AI market in India is projected to reach $8 billion by 2025, growing at a compound annual growth rate (CAGR) of over 40% from 2020 to 2025. [1] This growth is part of the broader AI boom, a global period of rapid technological advancements starting in the late 2010s and gaining prominence in the early 2020s.
Its capacity was ten times greater than that of the T-NLG. It was introduced in May 2020, [132] and was in beta testing in June 2020. 2022 ChatGPT, an AI chatbot developed by OpenAI, debuts in November 2022. It is initially built on top of the GPT-3.5 large language model.
Timeline of Indian innovation encompasses key events in the history of technology in the subcontinent historically referred to as India and the modern Indian state.. The entries in this timeline fall into the following categories: architecture, astronomy, cartography, metallurgy, logic, mathematics, metrology, mineralogy, automobile engineering, information technology, communications, space ...
Bayesian methods are introduced for probabilistic inference in machine learning. [1] 1970s 'AI winter' caused by pessimism about machine learning effectiveness. 1980s: Rediscovery of backpropagation causes a resurgence in machine learning research. 1990s: Work on Machine learning shifts from a knowledge-driven approach to a data-driven approach.
Logic was introduced into AI research as early as 1958, by John McCarthy in his Advice Taker proposal. [173] [98] In 1963, J. Alan Robinson had discovered a simple method to implement deduction on computers, the resolution and unification algorithm. [98]
This game was introduced to the Near East from India and became a part of the princely or courtly education of Persian nobility. [32] Buddhist pilgrims, Silk Road traders and others carried it to the Far East where it was transformed and assimilated into a game often played on the intersection of the lines of the board rather than within the ...
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Artificial narrow intelligence – AI capable only of specific tasks; Artificial general intelligence – AI with ability in several areas, and able to autonomously solve problems they were never even designed for; Artificial superintelligence – AI capable of general tasks, including scientific creativity, social skills, and general wisdom. [2]