How does artificial intelligence (AI) work?

By using mathematics and logic, a computer system simulates the reasoning people follow to learn from new information and make decisions.

A computer system with artificial intelligence makes predictions or performs actions based on the patterns of the available data and can learn from its mistakes to be more accurate. Advanced artificial intelligence processes new information very quickly and accurately, making it very useful for complex scenarios such as driverless cars, image recognition programs, and virtual assistants.


Relationship between artificial intelligence and robotics

Normally, a robot has a physical form and the software that controls it. Robots controlled with artificial intelligence software move autonomously, they do not need direct instructions from a user. But not all robots are controlled with artificial intelligence, nor does all artificial intelligence require a physical form.

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Relationship between artificial intelligence and machine learning

Machine learning is considered a subset of AI. Machine learning focuses on training computer teams to analyze data and learn in that process just like people do. Therefore, machine learning is a technique that helps to develop artificial intelligence systems.


Relationship between artificial intelligence and cognitive APIs

APIs (application programming interfaces) connect applications to other systems, services, or applications. When using cognitive APIs, access to a library of domain-specific intelligent models is requested.

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Relationship between artificial intelligence and data science

Both artificial intelligence and data science involve gathering, analyzing, and collecting large data sets, but they have different goals. Artificial intelligence focuses on how computer teams can make decisions based on data. Data science, on the other hand, focuses on using mathematics, statistics, and machine learning to extract insights from data.

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