A type of AI[2] model[1] that consists of two neural networks—a generator and a discriminator—that compete against each other to improve the quality and realism of generated content.
A graphical representation of a real-world event or process that needs to be communicated to all parties involved in system development to understand roles, steps, activities and outcomes associated with business events.
The simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. The simulation of human intelligence in machines that enables them to perform tasks such as learning, reasoning, and problem-solving.
