Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
A statistical technique that uses random sampling and statistical modeling to estimate mathematical functions and simulate systems.
Model-Based Systems Engineering (MBSE) is a methodology that uses visual modeling to support system requirements, design, analysis, and validation activities throughout the development lifecycle.
A digital replica of a physical entity, used to simulate, analyze, and optimize real-world operations.
Artificially generated data that mimics real data, used for training machine learning models.
The mathematical study of waiting lines or queues.
The study of strategic decision making, incorporating psychological insights into traditional game theory models.
A strategy where a team plays the role of an adversary to identify vulnerabilities and improve the security and robustness of a system.
New Product Development (NPD) is the complete process of bringing a new product to market, from idea generation to commercialization.