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Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI applications are widespread, impacting various industries such as healthcare, finance, and transportation1.
Key Principles of AI
Machine Learning (ML): A subset of AI that involves the use of algorithms and statistical models to enable computers to improve their performance on a task through experience. ML can be categorized into supervised learning, unsupervised learning, and reinforcement learning2.
Deep Learning: A subset of ML that uses neural networks with many layers (hence "deep") to analyze various factors of data. It is particularly effective in tasks such as image and speech recognition2.
Natural Language Processing (NLP): A field of AI that focuses on the interaction between computers and humans through natural language. The ultimate goal of NLP is to enable computers to understand, interpret, and generate human language in a valuable way2.
Neural Networks: These are computing systems inspired by the biological neural networks that constitute animal brains. They are designed to recognize patterns and interpret sensory data through a kind of machine perception, labeling, and clustering2.
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