Define Artificial Intelligence - The Introduction
Artificial intelligence has long history but is still constantly growing and achieving smart results. I am very sure that AI will excite you about its applications and possibility to grow in that field. AI is the proof that we (humans) are growing beyond imagination. Let me welcome you to the world of Artificial Intelligence.
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Before going into deep learning in AI, know the basics of Artificial intelligence.
Artificial Intelligence Definition
Artificial Intelligence is a part of computer science concerned with making a machine or computer programs which is uses human intelligence to perform certain tasks.
Father of Artificial Intelligence is John McCarthy, according to him, “It Is the Science and Engineering of making intelligent machines, especially intelligent computer programs.”
What is Intelligence
Intelligence is an ability to achieve some tasks in your life by applying certain knowledge and skills. This is not same for all the humans. It may vary to person to person. Intelligence for a person keeps on changes. It’s not constant throughout your life. So in Artificial Intelligence, to organize and use the knowledge efficiently some techniques are used.
Machines should be easily modifiable to correct error.
It should be useful in many situations though it is incomplete or inaccurate.
Artificial Intelligence is not only depends on computer programs but also on various disciplines like Neuroscience, psychology, Linguistics, Philosophy, Mathematics and Engineering.
Goals of Artificial Intelligence
Reasoning
Knowledge
Planning
Learning
Natural Language Processing
Perception
Reasoning is the capacity for consciously making sense of things, applying logic, establishing and verifying facts and changing based on new or existing information.
Knowledge is an understanding someone or something by using practical or theoretical experience. So in AI machine should understand the properties to make certain exact decisions.
Planning is a strategy to execute the process successfully. Normally in known environments with available models planning can be done accurately in offline. You can find solutions prior to execution. But in unknown environments, strategy may change as per the models and policies.
Learning is the act of acquiring new or modifying and reinforcing existing different type of information. Learning does not happen all at once, but it builds upon and its shaped by previous experience.
Natural Language processing is an interaction between computers and human languages. It’s a human-computer interaction.
Perception is an identification and interpretation of sensory information in order to represent and understand the environment. Ex: vision involves light striking the retina of the eye.
These are the skills are needed to make a machine with a human intelligence.
Applications of AI
AI has successfully been used in various fields like Finance, Games, Robotics, Medicine, The web etc., so using AI, you can make huge impact on various important fields.
1 comments
Basically a term that in its extended sense would specify the ability of an artifact to perform the same kinds of functions that characterize human thought. The research worker point out that if we look at artificial intelligence house Robots or industrial robots with “fear and suspicion” it could slow development, or drive it underground– which would make regulation impossible.
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