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Jouer Mots Roulette
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C
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E
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I
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M
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A
A set of rules or instructions to solve a problem, often used in AI to make decisions.
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B
Large volumes of data that are analyzed by AI systems to extract insights and patterns.
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C
An AI program designed to simulate conversation with human users, commonly used in customer service.
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D
A subset of machine learning that uses neural networks to model complex patterns and relationships.
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E
An AI system that emulates the decision-making ability of a human expert in a specific domain.
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F
A form of logic that deals with uncertainty and imprecision, often used in AI for decision-making.
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G
An optimization technique inspired by the process of natural selection, used in AI to find solutions.
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H
A problem-solving approach that uses rules of thumb or intuition rather than exhaustive search, common in AI.
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I
An autonomous entity that perceives its environment and takes actions to achieve goals, a key concept in AI.
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J
A programming language commonly used in AI development for its versatility and platform independence.
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K
The process of encoding knowledge in a form that can be used by AI systems for reasoning and decision-making.
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L
A programming paradigm based on formal logic, often used in AI for representing and solving problems.
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M
A subset of AI that enables systems to learn from data and improve performance without being explicitly programmed.
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N
The ability of AI systems to understand, interpret, and generate human language, a key area of research.
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O
The technology that enables computers to recognize and interpret printed or handwritten text, often used in AI applications.
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P
The use of AI and statistical algorithms to predict future outcomes based on historical data.
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Q
A computing paradigm that leverages quantum-mechanical phenomena to perform operations, with potential applications in AI.
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R
A type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards.
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S
A machine learning technique where the model is trained on labeled data to make predictions or classifications.
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T
A test of a machine's ability to exhibit intelligent behavior indistinguishable from that of a human, proposed by Alan Turing.
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U
A machine learning approach where the model learns patterns from unlabeled data without predefined outcomes.
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V
An AI-powered application that can assist users with tasks, provide information, and perform actions based on voice commands.
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W
AI systems designed for specific tasks, lacking general intelligence or self-awareness.
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X
A logic gate that outputs true only when the number of true inputs is odd, a fundamental component in neural networks.
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Y
The output or result produced by an AI system, reflecting the performance or effectiveness of the model.
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Z
A machine learning paradigm where a model can generalize to unseen classes without explicit training examples.