Which of the following is an application of generative AI?

Image synthesis represents a prominent application of generative AI, as it involves creating new images that mimic real-world objects, scenes, or styles. This capability demonstrates the power of generative models, such as Generative Adversarial Networks (GANs), which learn from a dataset of images to generate entirely new visuals that possess similar features. By leveraging vast amounts of visual data, generative AI can be utilized in various context-specific applications, such as art creation, fashion design, or even enhancing graphics in gaming and virtual reality contexts. This creative capability highlights the unique strengths of generative AI, distinguishing it from other types of AI applications that focus more on automation or data handling rather than creative content generation.

In contrast, other options like inventory management, data entry automation, and database transaction processing primarily focus on structured data manipulation and process efficiency, which are more traditional applications of AI rather than generative AI's distinctive creative functionalities.