P vs NP Problem
The P vs NP Problem is a major unsolved question in computer science that asks whether every problem whose solution can be quickly verified can also be quickly solved.
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.
The P vs NP Problem is a major unsolved question in computer science that asks whether every problem whose solution can be quickly verified can also be quickly solved.
Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously.
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.