Generative AI: Basics and Applications in Biomedical Measurements [Roadmap for Measurement and Applications]

Artificial Intelligence (AI) and its subset of machine learning, especially Deep Learning (DL), are now prevalent in the field of instrumentation and measurement (I&M) [1]. One particular use case of DL is Generative AI (GenAI): AI that is trained to generate content in the form of text, audio, music, image, video, etc., at a quality that is close to what humans would consider to be realistic. Although architectures such as Hidden Markov Models or Bayesian networks can be used to create GenAI models, today the great majority of GenAI models are based on DL. Table 1 summarizes the types of GenAI, their generation technology, their DL architecture, and example tools.