Generative AI: Current Trends and Applications (Studies in Computational Intelligence, 1177)

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Publisher ‏ : ‎ Springer; 2024th edition (December 10, 2024)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 486 pages
ISBN-10 ‏ : ‎ 981978459X
ISBN-13 ‏ : ‎ 978-9819784592
Item Weight ‏ : ‎ 1.89 pounds
Dimensions ‏ : ‎ 6.14 x 1.06 x 9.21 inches

Generative AI: Current Trends and Applications (Studies in Computational Intelligence, 1177)

Generative artificial intelligence (AI) has been a rapidly evolving field in recent years, with new advancements and applications continually emerging. In this post, we will explore some of the current trends and applications of generative AI, as highlighted in the latest volume of Studies in Computational Intelligence, 1177.

One of the most prominent trends in generative AI is the use of deep learning models, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), to create realistic and high-quality synthetic data. These models have been used in a variety of applications, including image and video generation, text generation, and even music composition.

Another key trend in generative AI is the development of conditional and controllable generation models. These models allow users to specify certain attributes or characteristics that they want to see in the generated output, enabling more personalized and customized results. This has been particularly useful in applications such as image editing, where users can manipulate specific features of an image, such as its style or color, using generative AI algorithms.

In addition to these trends, generative AI has also found applications in fields such as healthcare, finance, and entertainment. For example, generative models have been used to generate synthetic medical images for training machine learning algorithms, to create personalized financial reports for customers, and to generate realistic virtual actors for movies and video games.

Overall, the field of generative AI is rapidly expanding and evolving, with new applications and advancements being made on a regular basis. The latest volume of Studies in Computational Intelligence, 1177, provides a comprehensive overview of the current trends and applications in generative AI, making it an essential resource for researchers, practitioners, and enthusiasts in the field.
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