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40+ AI and machine learning terms explained in simple language. Perfect for Grades 6-12.
Computer systems designed to perform tasks that normally require human intelligence, like understanding speech, recognizing images, or making decisions.
A type of AI where computers learn from data and examples instead of being explicitly programmed with rules.
A step-by-step set of instructions that tells a computer how to solve a problem or complete a task.
A type of machine learning that uses neural networks with many layers to learn complex patterns from large amounts of data.
A computer system inspired by the human brain, made up of connected nodes (neurons) that process information in layers.
AI that can create new content like text, images, music, or code. ChatGPT and DALL-E are examples.
A type of AI trained on massive amounts of text that can understand and generate human language.
When AI memorizes training data too well and fails to work on new, unseen data.
The examples and information used to teach an AI system. Like flashcards for computers!
The result of training an AI system. It's the "brain" that makes predictions based on what it learned.
An AI's guess or answer based on patterns it learned from training data.
Teaching AI to sort things into categories, like identifying whether an email is spam or not spam.
AI's ability to find repeating patterns in data, like recognizing faces or handwriting.
A collection of data used to train or test an AI system.
A measurable property of the data that AI uses to make predictions, like color, size, or shape.
How often an AI system makes correct predictions, usually shown as a percentage.
AI that understands and works with human language, powering chatbots and voice assistants.
AI that can "see" and understand images and videos, used in face recognition and self-driving cars.
An AI program designed to have conversations with humans, often used for customer service.
AI that understands spoken commands and responds with speech, like Siri, Alexa, or Google Assistant.
AI that suggests content you might like, used by YouTube, Netflix, and Spotify.
Building physical machines that use AI to interact with the real world.
A self-driving car or vehicle that uses AI to navigate without human control.
AI that can identify or verify a person by analyzing their face.
AI that determines whether text expresses positive, negative, or neutral feelings.
AI that converts written text into spoken words.
AI that converts spoken words into written text, also called transcription.
AI that can identify objects, people, or scenes in photographs.
The instruction or question you give to an AI system to get a response.
When AI systems treat certain groups unfairly because of problems in training data or design.
The study of right and wrong in AI development and use, ensuring AI is fair and beneficial.
Protecting personal information from being misused by AI systems or companies.
Training AI with labeled examples where the correct answers are provided.
Training AI to find patterns in data without being given the correct answers.
Training AI through trial and error, rewarding good decisions and penalizing bad ones.
Application Programming Interface - a way for different software programs to communicate and share AI capabilities.
Using powerful computers over the internet to run AI systems instead of on your own device.
Graphics Processing Unit - specialized computer chips that make AI training much faster.
A test to see if AI can convince a human that they're talking to another human.
Theoretical AI that could perform any intellectual task a human can do. Does not exist yet.
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