Artificial Intelligence is the computers ' ability to think for them. AI is seen when a task, previously performed by a human being and thought of as needing the ability to read, think, and solve problems, can now be performed by a computer. An Autonomous Vehicle is a prime example. The vehicle should interpret its surroundings and make choices so that it can reach its destination safely without any human intervention. The growth of AI is driven by converging technologies along with Big Data and the Internet of Things (IoT). Machines interact with each other and are now capable of advanced vision, gathering millions of data points in seconds, storing information and decision-making, all within seconds. As AI progresses, machines may have the freedom to behave physically based on their intellect, ultimately leading to machines capable of creating improved versions of themselves.
Knowledge engineering is a very critical aspect of AI science. Machines and programs need a wealth of world-related knowledge to consistently behave and respond like humans. To apply knowledge engineering, AI must have access to properties, categories, objects, and relations among all of them. Through machines, AI initiates common sense, problem-solving and logical thinking ability, which is both very interesting and a boring task.
How important is Artificial Intelligence?
For businesses that want to derive value from data by automating and optimizing processes or providing actionable insights, artificial intelligence systems are important. Machine learning artificial intelligence systems enable businesses to take full advantage of the vast amount of data they need to discover insights and trends that no one could find, to make them more personalized interactions, to predict critical care incidents, to find potentially fraudulent transactions, and much more.
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Pon KebhaArtificial Intelligence