Artificial Intellegence - projects

Overview

Artificial Intelligence: A feature where machines learn to perform tasks, rather than simply carrying out computations that are input by human users.

Early applications of AI included machines that could play games such as checkers and chess, and programs that could reproduce language.

Machine Learning: An approach to AI in which a computer algorithm (a set of rules and procedures) is developed to analyze and make predictions from data that is fed into the system.

AI is integrated into numerous technologies that people use every day. Credit: iStock-metamorworks

Machine learning-based technologies are routinely used every day, such as personalized news feeds and traffic prediction maps.

Neural Networks: A machine learning approach modeled after the brain in which algorithms process signals via interconnected nodes called artificial neurons.

Deep Learning: A form of machine learning that uses many layers of computation to form what is described as a deep neural network, capable of learning from large amounts of complex, unstructured data.

Deep neural networks are responsible for voice-controlled virtual assistants as well as self-driving vehicles, which learn to recognize traffic signs.