Some alternative methods to using artificial neurons in AI for learning and computation include decision trees, support vector machines, and Bayesian networks. Decision trees are a type of model used for classification and regression tasks. Support vector machines are supervised learning models used for classification and regression analysis. Bayesian networks are a type of statistical model that represents a set of variables and their conditional dependencies via a directed acyclic graph. Genetic algorithms and swarm intelligence are also alternative methods used in AI.
Learn about the latest AI tools available in business, like AI video generators, audio, video game c...
View report