Glossary for Computer Concepts: ai

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AI: AI: Artificial intelligence (Lesson: Artificial Intelligence)
   refers to the art and science of creating computer systems that simulate human thought and behavior
AI methods: Artificial intelligence methodologies (Lesson: Artificial Intelligence)
   consist of the various approaches to AI research that generally fall under one of two categories: conventional AI or computational intelligence
AI questions: Self Study Questions(Lesson: Artificial Intelligence)
   What have you learned?
Artificial intelligence: AI: Artificial intelligence (Lesson: Artificial Intelligence)
   refers to the art and science of creating computer systems that simulate human thought and behavior
autonomous vehicles: Autonomous Vehicles (Lesson: Artificial Intelligence)
   any vehicle that operates autonomously, without the aid of a human
Bayesian network: Bayesian network (Lesson: Artificial Intelligence)
   sometimes called a belief network, is a form of conventional AI that uses a graphical model to represent a set of variables and their relationships and dependencies
behavior based: Behavior-based AI (Lesson: Artificial Intelligence)
   a form of conventional AI that is popular in programming robots
case based: Case-based reasoning (Lesson: Artificial Intelligence)
   an area of conventional AI in which the AI software maintains a library of problem cases and solutions
computational intelligence: Computational intelligence (Lesson: Artificial Intelligence)
   an offshoot of AI that employs methodologies such as neural networks, fuzzy systems, and evolutionary computation to set up a system whereby the software can develop intelligence through an iterative learning process
computer vision: Computer vision (Lesson: Artificial Intelligence)
   combines hardware and AI software that permit computers to capture, store, and interpret visual images and pictures
context aware: Context-Aware Computing (Lesson: Artificial Intelligence)
   software that uses artificial intelligence to provide services based on environmental context
conventional AI: Conventional AI (Lesson: Artificial Intelligence)
   also called symbolic AI, logical AI, or neat AI—uses programming that emphasizes statistical analysis to calculate the probability of various outcomes
expert system: ES: expert system (Lesson: Artificial Intelligence)
   a form of conventional AI that is programmed to function like a human expert in a particular field or area
Natural Language Processing: NLP: Natural Language Processing (Lesson: Artificial Intelligence)
   uses AI techniques to enable computers to generate and understand human languages
neural network: Neural Network/ Neural Net (Lesson: Artificial Intelligence)
   uses software to simulate the functioning of the neurons in a human brain
NLP: NLP: Natural Language Processing (Lesson: Artificial Intelligence)
   uses AI techniques to enable computers to generate and understand human languages
PDA: PDA: Personal Digital Assistant (Lesson: Artificial Intelligence)
   a program that draws from a knowledge base in order to answer questions and perform tasks for a person
personal digital assistant: PDA: Personal Digital Assistant (Lesson: Artificial Intelligence)
   a program that draws from a knowledge base in order to answer questions and perform tasks for a person
robotics: Robotics (Lesson: Artificial Intelligence)
   developing mechanical or computer devices to perform tasks that require a high degree of precision or are tedious or hazardous for humans
self driving cars: Autonomous Vehicles (Lesson: Artificial Intelligence)
   any vehicle that operates autonomously, without the aid of a human
singularity: Singularity (Lesson: Artificial Intelligence)
   the point in time at which computers exceed humans in intelligence
Turing test: Turing Test (Lesson: Artificial Intelligence)
   devised by Alan Turing as a method of determining if a machine exhibits human intelligence
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