Important Terms in Artificial Intelligence 101

CAIRO, Oct. 8 (SEE)- Artificial intelligence, mostly referred to as AI, is the current sovereign of the tech world swiftly progressing to dominate the whole world. Controversies, possibilities and myths are projected trying to predict: What Is Next?

Bearing in mind that not everyone muses over technology, SEE lists to persons who are not well versed with AI all the vocabulary needed to catch up with experts and join in the inevitable global conversation:

•Artificial intelligence: it is simply creating intelligent machines to perform tasks like humans.

•Machine learning: it is the implementation of computer software that can learn autonomously.

•Deep learning: it is a specific approach of machine learning that builds and trains neural networks.

•Algorithm: it is a step by step method of solving a problem, in other words, a set of instructions to follow to carry out an operation.

•Black box testing: is a testing technique developed based on analyzing client requirements to analyze software functionality.

•Chatbot: is simply an artificial conversation that responds based on pre-calculated user phrases as in intelligent virtual assistants.

•Binary tree: is a tree data structure where each node has up to two child nodes.

•Data mining: is the discovery and analysis of hidden data patterns according to different perspectives to categorize it into useful information.

•Game theory: it is the study of using mathematical models to asses interactive systems.

•Heuristic: a problem-solving method using available data, rather than predefined solutions.

•Robotics: is the industry related to the engineering, construction and operation of robots.

•Semantics: using specific words and labels to present data and commands.

•Expert systems: it is a computer program that is designed to emulate and mimic human intelligence, skills or behavior.

Definitions are based on

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