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This is an accepted version of this page This is the latest accepted revision, reviewed on 17 January 2025. Civil services examination in India This article is about the examination in India. For civil service examinations in general, see civil service entrance examination. This article may need to be rewritten to comply with Wikipedia's quality standards. You can help. The talk page may ...
In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6]
This phenomenon has occurred in relation to every AI application produced, so far, throughout the history of development of AI. AI winter – a period of disappointment and funding reductions occurring after a wave of high expectations and funding in AI. Such funding cuts occurred in the 1970s, for instance.
The Union Public Service Commission (UPSC; ISO: Saṁgha Loka Sevā Āyoga) is a constitutional body tasked with recruiting officers for All India Services and the Central Civil Services (Group A and B) through various standardized examinations. [1] In 2023, 1.3 million applicants competed for just 1,255 positions. [2]
An artificial superintelligence (ASI) is a hypothetical type of AGI that is much more generally intelligent than humans, [23] while the notion of transformative AI relates to AI having a large impact on society, for example, similar to the agricultural or industrial revolution.
AI researchers have created many tools to solve the most difficult problems in computer science. Many of their inventions have been adopted by mainstream computer science and are no longer considered AI. All of the following were originally developed in AI laboratories: [375] Time sharing; Interactive interpreters
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]