👉 Synthesis computing is an emerging computational paradigm that focuses on the synthesis of data, models, and systems to generate new content, solutions, or experiences that are not directly derived from existing data. Unlike traditional computing, which primarily emphasizes processing and manipulating existing information, synthesis computing aims to create novel outputs by combining and transforming various data sources, algorithms, and models. This approach is particularly valuable in fields like artificial intelligence, where it enables the creation of new data types, such as synthetic images or text, for training models, generating personalized content, or simulating complex scenarios. By synthesizing rather than merely analyzing, this paradigm enhances creativity, innovation, and the ability to tackle problems that are difficult or impossible to solve with conventional data-driven methods.