The basics of various Artificial Intelligence techniques (artificial neural networks (ANN), fuzzy logic and genetic algorithms), its advantages and limitations are presented in this chapter. The application of ANN to the design of dosage forms contributes to the in-depth knowledge of how the variables involved in the production of a pharmaceutical formulation affect the properties of the final product and the risks associated with the changes, and therefore, to its design space. This facilitates the research in the dosage forms field, the development of new formulations, and/or the improvement of the existing ones. The case study is intended to illustrate the applicability of these technologies through a simple example; the improvement of rifampicin solubility into the development process and optimization of hard capsules for oral administration. ANN allows the modelling of the effect of the variability of ingredients (composition) on the properties of the formulation (rifampicin solubility). The combination ANN-fuzzy logic generates explicit rules that contribute to the understanding of generated systems. Genetic algorithms allow selecting the most appropriate combination depending on specific requirements, and therefore, the optimal formulation.
