Particle Swarm Optimization
Particle Swarm Optimization (PSO) is a computational method used to optimize a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
134 plain-language definitions from the TiorAI glossary, filed under AI Fundamentals. Every entry opens with a one-sentence definition, then explains where the term is used.
Particle Swarm Optimization (PSO) is a computational method used to optimize a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.
Pattern recognition is the process of identifying regularities and patterns in data using algorithms and statistical techniques.
Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensionality of data while preserving as much variance as possible.
Probabilistic reasoning is a method of logic that deals with the likelihood or probability of an event or outcome.
Probability Theory is a branch of mathematics that deals with the analysis of random phenomena and the likelihood of various outcomes.
Process Automation is the use of technology to execute recurring tasks or processes in a business where manual effort can be replaced.
Propositional Logic is a branch of logic that deals with propositions and their connections through logical operators.
Quantum Artificial Intelligence is the integration of quantum computing with artificial intelligence to enhance computational problem-solving capabilities.
(Retrieval-Augmented Generation) Short Definition: Retrieval-Augmented Generation (RAG) is an AI architecture that combines information retrieval with text generation to produce responses grounded in external, up-to-date, or proprietary data.
A Rational Agent is an entity that acts to achieve the best possible outcome, based on its knowledge and the information available.
Reasoning is an AI capability that enables a system to analyze information, draw logical conclusions, and make decisions based on relationships, rules, or evidence.
Robotic Process Automation (RPA) is a technology that uses software robots to automate repetitive and rule-based tasks in business processes.
Robotics is the branch of technology that involves the design, construction, operation, and use of robots.
A search algorithm is a method used to retrieve information stored within data structures or databases efficiently.
Self-organization is a process where a structure or pattern emerges in a system without a central authority or external command.
The Semantic Web is an extension of the World Wide Web that enables data to be shared and reused across application, enterprise, and community boundaries.
Signal Processing is the analysis, interpretation, and manipulation of signals.
Simulation is a method of imitating the operation of real-world processes or systems over time.
Singularity is a hypothetical point in the future when artificial intelligence surpasses human intelligence, leading to unprecedented technological growth.
Software 2.0 is a term used to describe the development of software using machine learning models instead of traditional programming.
State Space is a representation of all possible configurations or conditions in which a system can exist.
Statistics is the science of collecting, analyzing, interpreting, presenting, and organizing data.
A stochastic process is a mathematical object used to describe systems or phenomena that evolve over time with inherent randomness.
Swarm Intelligence is the collective behavior of decentralized, self-organized systems, natural or artificial.
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