Home » Full Forms » Computer Acronyms/Abbreviations

What is the full form of AI?

Full form of AI: Here, we are going to learn what does AI stands for? AI – which is an abbreviation of "Artificial Intelligence" in Computer Acronyms/Abbreviations, etc.
Submitted by Anushree Goswami, on March 23, 2020

AI: Artificial Intelligence

AI is an abbreviation of "artificial intelligence", which occasionally called machine intelligence in the field of computer science. It is intelligence made understandable by machines, in comparison to the normal intelligence made understandable by humans and animals.

Most significant AI course books describe the field as the study of "intelligent agents": any device that turned out to be aware of its environment and takes actions that get the most out of its possibility of effectively achieving its objectives. Informally, the term "artificial intelligence" is frequently used to illustrate machines (or computers) that imitate "cognitive" functions that humans correlate with the human mind, such as "learning" and "problem-solving".

As machines turn out to be progressively more competent and accomplished, responsibilities well-thought-out to necessitate "intelligence" are frequently eliminated from the definition of AI, a phenomenon known as the AI effect.
A witty remark in Tesler's Theorem says "AI is whatever hasn't been done yet."
As an example, optical character recognition is commonly kept out from things regarded as to be AI, having turned out to be a routine technology.
Modern machine abilities and competence commonly categorized as AI comprise effectively understanding human speech, challenging at the utmost stage in strategic game systems (such as chess and Go), autonomously operating cars, intelligent routing in content delivery networks, and military simulations.

AI History

In 1955, Artificial intelligence was established as an academic discipline and in the years as it has experienced quite a lot of waves of hopefulness, followed by dissatisfaction and the loss of financial support, which known as an "AI winter", followed by innovative approaches, achievement, and enhanced financial support.
AI research has been classified into subfields that frequently are unsuccessful to communicate with each other. These sub-fields are based on technological considerations.

AI Objectives

The conventional objectives of AI research comprise:

Reasoning
Knowledge representation
Planning
Learning
Natural language processing
Perception and the ability to move and manipulate objects.

General intelligence is among the field's long-standing objectives. The approaches of these objectives comprise:

Statistical methods
Computational intelligence
Traditional symbolic AI

Numerous tools are used in AI, comprising:

Versions of search and mathematical optimization
Artificial neural networks
Methods based on statistics
Probability
Economics.

The AI field represents ahead in the fields of:

Computer science
Information engineering
Mathematics
Psychology
Linguistics
Philosophy
And, a lot of additional fields.