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What we strive for

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ॐ सह नाववतु।

Oṁ Saha nāvavatu

सह नौ भुनक्तु।

saha nau bhunaktu

सह वीर्यं करवावहै।

Saha vīryam karavāvahai

तेजस्वि नावधीतमस्तु

Tejasvi nāvadhītamastu

मा विद्विषावहै।

Mā vidviṣāvahai

ॐ शान्तिः शान्तिः शान्तिः ॥

Oṁ Shāntiḥ, Shāntiḥ, Shāntiḥ

AI Core

raw learning enabled

Project Whitepapers

Abstract

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. More specifically, Kaplan and Haenlein define AI as “a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation”. Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".

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Use case

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. 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. General intelligence is among the field's long-term goals.

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