Generative Artificial Intelligence: Architectures and Applications in Computational Intelligence - Seema Rawat

The text begins by discussing the core concepts of computational intelligence and the mathematical and theoretical underpinnings of generative models. It explores different artificial intelligence architectures, while also addressing the integration of hybrid approaches and multi-modal learning techniques.

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The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, mathematics, artificial intelligence, and machine learning.