Eai International Conference On Computational Intelligence And Generative Ai
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EAI International Conference on Computational Intelligence and Generative AI
Author: Debnath Bhattacharyya
language: en
Publisher: Springer Nature
Release Date: 2024-12-16
The book presents the proceedings of the EAI International Conference on Computational Intelligence and Generative AI (ICCIGAI 2024), which took place March 8-9, 2024, in Guntur, India. The book explores the exciting and rapidly evolving field of artificial intelligence, with a specific focus on computational intelligence and generative models. The conference introduces cutting-edge techniques and methodologies that enable machines to simulate human-like intelligence and creativity. Readers can find a comprehensive overview of state-of-the-art AI methods, including neural networks, evolutionary algorithms, deep learning, and generative adversarial networks (GANs). The conference explores real-world applications in a range of areas, including computer vision, natural language processing, and the creation of original content.
Generative Artificial Intelligence
This book is a comprehensive overview of AI fundamentals and applications to drive creativity, innovation, and industry transformation. Generative AI stands at the forefront of artificial intelligence innovation, redefining the capabilities of machines to create, imagine, and innovate. GAI explores the domain of creative production with new and original content across various forms, including images, text, music, and more. In essence, generative AI stands as evidence of the boundless potential of artificial intelligence, transforming industries, sparking creativity, and challenging conventional paradigms. It represents not just a technological advancement but a catalyst for reimagining how machines and humans collaborate, innovate, and shape the future. The book examines real-world examples of how generative AI is being used in a variety of industries. The first section explores the fundamental concepts and ethical considerations of generative AI. In addition, the section also introduces machine learning algorithms and natural language processing. The second section introduces novel neural network designs and convolutional neural networks, providing dependable and precise methods. The third section explores the latest learning-based methodologies to help researchers and farmers choose optimal algorithms for specific crop and hardware needs. Furthermore, this section evaluates significant advancements in revolutionizing online content analysis, offering real-time insights into content creation for more interactive processes. Audience The book will be read by researchers, engineers, and students working in artificial intelligence, computer science, and electronics and communication engineering as well as industry application areas.
Generative AI in Teaching and Learning
Generative AI in Teaching and Learning delves into the revolutionary field of generative artificial intelligence and its impact on education. This comprehensive guide explores the multifaceted applications of generative AI in both formal and informal learning environments, shedding light on the ethical considerations and immense opportunities that arise from its implementation. From the early approaches of utilizing generative AI in teaching to its integration into various facets of learning, this book offers a profound analysis of its potential. Teachers, researchers, instructional designers, developers, data analysts, programmers, and learners alike will find valuable insights into harnessing the power of generative AI for educational purposes.