AI Terminology

Welcome to the AI Terminology section of the AI blog! This comprehensive glossary is designed to help you navigate the complex world of artificial intelligence. Here, you’ll find clear, concise definitions and explanations of key terms and concepts in AI, from foundational ideas like machine learning and neural networks to advanced topics such as reinforcement learning and variational autoencoders. Whether you’re a beginner or an expert, this resource is tailored to enhance your understanding and keep you updated with the latest advancements in the field.

 
 
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Convolutional Neural Network • CNN

A convolutional neural network (CNN) is a type of neural network that is particularly well suited for image recognition tasks.

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Data Analysis

Data analysis is the process of examining data to find trends and patterns.

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Data Analytics

Data analytics is the process of analyzing data in order to draw conclusions about that data.

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Data Mining

Data mining is the process of extracting valuable information from large data sets.

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GAN

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Unicorn

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Pattern Recognition

Pattern recognition is the ability to identify and classify patterns.

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Artificial Superintelligence • ASI

Artificial superintelligence (ASI) can generally be described as a computer that has surpassed human intelligence in all areas.

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Data Science

Data science is the study of extracting knowledge and insights from data.

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Data Scientist

A data scientist is a professional who uses their expertise in mathematics, statistics, and computer science to extract meaning from data.

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Intelligence

There is no single definition of intelligence, and the concept of intelligence is complex and multi-dimensional. However, one common definition of intelligence is the ability to think abstractly, solve problems, and adapt to new situations.

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Linear Algebra

Linear algebra is the study of mathematical problems that can be best explained in terms of lines and linear equations.

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Human Intelligence

Human intelligence has been defined in many ways including as one's capacity for logic, abstract thought, understanding, self-awareness, communication, learning, emotional knowledge, memory, planning, creativity, and problem-solving.

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Mathematical Optimization

Mathematical optimization is the process of finding the best possible solution to a problem by testing and evaluating different options.

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Natural Language Processing • NLP

Natural language processing is a field of computer science and linguistics concerned with the interactions between computers and human languages, and the development of software that can understand natural language.

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Robot

A robot is a machine that is designed to carry out specific tasks, usually under the direct control of a human operator.

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Self-Aware

"Self-aware" systems are a type of artificial intelligence that have the ability to be aware of their own existence and to understand their own thoughts and feelings.

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Note: The above list of AI terms is sorted by the last update time.

AI Terminology Graph (interactive)

Click on any node to find out more. You can also drag the graph nodes to rearrange them.