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However, the government has introduced measures to promote innovation and address ethical concerns and risks associated with AI. These efforts aim to support the growth of India's AI ecosystem and ensure responsible AI deployment. [8] India has launched an AI Data Bank aimed at fostering innovation and enhancing national security.
Asilomar Conference on Beneficial AI was held, to discuss AI ethics and how to bring about beneficial AI while avoiding the existential risk from artificial general intelligence. Deepstack [ 116 ] is the first published algorithm to beat human players in imperfect information games, as shown with statistical significance on heads-up no-limit ...
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 ...
INDIAai is a web portal launched by the Government of India in May 2022 for artificial intelligence-related developments in India.It is known as the National AI Portal of India, which was jointly started by the Ministry of Electronics and Information Technology (MeitY), the National e-Governance Division (NeGD) and the National Association of Software and Service Companies (NASSCOM) with ...
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 ...
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.
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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]