Generative AI Tools
Auerbach (Verlag)
978-1-032-74590-9 (ISBN)
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Generative AI algorithms have become transformative forces in today's digital landscape, revolutionizing industries from healthcare and finance to creative arts and software development by enabling machines to create human-like content, automate complex tasks, and generate innovative solutions at unprecedented scale and speed. These applications are driving significant productivity gains across organizations, with AI-powered tools like large language models, image generators, and code assistants helping professionals streamline workflows, enhance creativity, and solve problems that were previously time-intensive or required specialized expertise. The strategic importance of generative AI extends beyond operational efficiency, as it represents a fundamental shift toward intelligent automation that is reshaping competitive advantages, creating new business models, and establishing AI literacy as a critical skill for future workforce success. Generative AI Tools: From Algorithms to Applications is a reference for researchers that consolidates rapidly evolving methodologies, theoretical foundations, and practical implementations. Highlights include:
Generative AI tools and the marketing industry
A comprehensive overview of ChatGPT
ChatGPT integration in IoT ecosystems
Providing a structured framework for understanding this complex and fast-moving field, the book enables researchers to build upon established knowledge more efficiently, avoid redundant work, and identify promising research directions by offering systematic coverage of current state-of-the-art techniques, their limitations, and emerging challenges that require innovative solutions. Bridging the gap between theoretical concepts and real-world applications, the book helps researchers understand not only how these algorithms work but also their practical implications, ethical considerations, and potential societal impacts, which is crucial for developing responsible and impactful AI research agendas.
Dr. Priyanka Sharma is pursuing a doctoral degree at the Department of Computer Science & Engineering, Rajasthan Technical University, India. An editor-in-chief for multiple journals, Dr. A. V. Senthil Kumar is a professor and principal at the Nehru Institute of Information Technology and Management, Coimbatore, India. Dr. Monika Jyotiyana received a doctoral degree from the Central University of Rajasthan, Rajasthan, India. Dr. Adnan Alrabea is a visiting Associate Professor and Assistant Dean at Prince Abdullah bin Ghazi College of Communications and Information at Al-Balqa Applied University, Assalt, Jordan.
1. The Expanding Horizon of Generative AI: Applications Across Diverse Fields 2. Generative AI Tools and the Marketing Industry 3. A Comprehensive Review on Intrusion Detection Systems for Internet of Things: From Theory to Implementation Using Machine Learning, Deep Learning and Generative AI Techniques 4. Advancements in Chatbot Technology: A Comprehensive Overview of ChatGPT 5. Precision Forecasting for Electric Vehicle Charging Infrastructure Planning in Sustainable Urban Mobility 6. A Hybrid Deep Learning-Based vs. Generative AI for Intrusion Detection System in IoT 7. AI-Driven Harmony: Predictive Maintenance Unleashed with EV Integration in Distribution Networks 8. Occluded Face Recovery Using Generative Adversarial Network (GAN) 9. Segmentation of Lung Regions from Chest X-Rays Using AI-Based Techniques 10. Conversational Intelligence at the Edge: ChatGPT Integration in IoT Ecosystems
| Erscheint lt. Verlag | 13.5.2026 |
|---|---|
| Reihe/Serie | Advances in Computational Collective Intelligence |
| Zusatzinfo | 15 Tables, black and white; 52 Line drawings, black and white; 24 Halftones, black and white; 76 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Geisteswissenschaften ► Sprach- / Literaturwissenschaft ► Sprachwissenschaft |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-032-74590-8 / 1032745908 |
| ISBN-13 | 978-1-032-74590-9 / 9781032745909 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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