Generative AI Tools: From Algorithms to Applications

Generative AI is not just a new class of software; it is a meeting point for algorithms, creative systems, and practical engineering. This edited volume examines that breadth through research-oriented chapters that move from core concepts to applications in marketing, cybersecurity, energy, healthcare, and connected devices.

Across ten chapters, contributors consider how generative methods relate to machine learning, deep learning, neural networks, probabilistic models, and transformer-based systems—and what those methods can mean when put to work in real settings.

Generative AI across disciplines

The collection opens with a broad look at generative AI applications, then turns to subjects including marketing tools, ChatGPT, chatbot technology, and intrusion detection for the Internet of Things. Later chapters explore forecasting for electric-vehicle charging infrastructure, predictive maintenance in distribution networks, GAN-based face recovery, and AI approaches to lung-region segmentation in chest X-rays.

From algorithmic ideas to applied research

Rather than focusing on a single tool or industry, the book brings together different technical and application areas. Its range can help readers see how generative AI connects with established approaches such as machine learning and deep learning, while also highlighting the distinct questions raised by particular uses and environments.

ChatGPT, IoT, and the network edge

ChatGPT and conversational systems receive focused attention, including a chapter on integration in IoT ecosystems. This material places conversational AI alongside concerns about connected-device security and edge computing, giving researchers a view of how language-based systems intersect with broader technical infrastructures.

For students and research-minded readers

The editors present the book for students, scholars, researchers, and academics looking to build a wider understanding of generative AI. Its interdisciplinary chapter structure makes it relevant to readers comparing applications across computing and engineering, or identifying research topics that span algorithms, implementation, and societal implications.

For a grounded survey of generative AI’s varied research directions—from ChatGPT to medical imaging and energy systems—this volume offers a broad place to continue exploring.