Generative Artificial Intelligence by Seema Rawat

Generative Artificial Intelligence by 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.

Features:

• Discusses advanced generative models, including Generative Adversarial Networks, Variational Autoencoders, diffusion models, and transformer-based architectures.
• Provides insights into emerging fields like quantum artificial intelligence, artificial intelligence-powered automation, and metaverse applications, ensuring that readers stay ahead in the fast-evolving artificial intelligence landscape.
• Presents practical case studies, showing how artificial intelligence models are applied in real-world scenarios, such as artificial intelligence-driven medical imaging, fraud detection, and intelligent automation.
• Showcases a practical and hands-on approach by providing step-by-step coding examples, Python-based implementations, and tutorials using frameworks.
• Covers artificial intelligence ethics, responsible artificial intelligence deployment, and global regulatory frameworks.

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.

Seema Rawat is a distinguished academician, researcher, and industry expert specializing in Artificial Intelligence, Image Processing, Signal Processing, Pattern Matching, and Natural Language Processing. She is currently a Professor at the Amity School of Engineering & Technology, Amity University, Uttar Pradesh, India.

Garima Shukla, Senior Member IEEE and Associate Professor in the Department of Computer Science & Engineering at Amity School of Engineering and Technology, Amity University, Mumbai, is a distinguished academician and researcher. Currently pursuing a Postdoctoral Fellowship at SIT, Singapore, she specializes in Deep Learning, Artificial Intelligence (AI), Computational Intelligence, Machine Learning (ML), Optoelectronics, the Internet of Things (IoT).

Sofia Singh, Ph.D. (CSE/IT), Senior Member IEEE, Distinguished Alumnus Awardee, is an accomplished Associate Professor in the Department of AI at ASET, Amity University, Noida. Her research focuses on cutting-edge advancements in Artificial Intelligence, Machine Learning, and Data Science.

Anoop Kumar Shukla is currently an Assistant Professor in the Department of Mechanical Engineering at Amity University, Noida, India. His research interests include energy conversion, thermal management, multigeneration systems, AI applications to Energy Systems.