Foundational Models and Architectures by @Leaster Starx offers a rigorous and comprehensive exploration of the evolving landscape of generative artificial intelligence. This academic volume delves into the theoretical principles, architectural innovations, and real-world applications driving the next generation of AI models. Through meticulously crafted chapters, it analyzes state-of-the-art systems such as diffusion models, transformers, multimodal networks, and neural radiance fields (Ne...

"GAI 3rd: Ethics, Policy, and Societal Implications" offers a concise yet thorough overview of human‑centered generative AI practices, blending rigorous theoretical foundations with real‑world applications. Readers are guided through ethical frameworks, bias mitigation techniques, and policy landscapes, gaining insights into advanced architectures like GANs, VAEs, diffusion models, and transformers. Through case studies spanning healthcare, creative industries, and environmental modeling, ...

Amidst the rapid transformations unfolding in the world of artificial intelligence, Generative AI has emerged as one of the pillars of the new digital revolution. With its capacity to produce creative content that mirrors human thought and behavior, this book presents a comprehensive conceptual and research-driven vision that integrates the technical capabilities of generative AI with the principles of human-centered design.The book highlights how the design of generative AI system...

Generative AI represents a groundbreaking frontier in the realm of artificial intelligence, where machines not only learn from data but also create new data, mimicking the inventive processes of human creativity. This book is a comprehensive guide that explores the depths of generative AI, from foundational concepts to advanced applications, and provides a rich array of hands-on projects and real-world case studies.Why Generative AI?In recent years, generative AI has transf...

Contrary to popular mythology, the designs of favorable products and successful systems do not appear suddenly, or magically. This second edition of Engineering Design demonstrates that symbolic representation and related problem-solving methods, offer significant opportunities to clarify and articulate concepts of design to lay a better framework for design research and design education. Artificial Intelligence (AI) provides a substantial body of material concerned with understanding and ...

This book is the essential guide for anyone curious about AI’s creative power. In the rapidly evolving landscape of artificial intelligence, generative AI stands out as one of the most transformative technologies of our time. Designed for beginners and requiring no prior knowledge of AI, this book breaks down the fundamentals of generative AI, from text and image generation to the workings of models like ChatGPT and Google Bard. The authors provide step-by-step coverage of the essential co...

This book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI. It introduces the concept of neuro-symbolic AI, highlighting its fusion of symbolic reasoning and machine learning. The book covers symbolic AI and knowledge representation, neural networks and deep learning, neuro-symbolic integration approaches, reasoning and inference techniques, applications in healthcare and robotics, a...

Toward a deeper understanding of minds, whether natural or artificial, and of how they are studied and built across AI, AGI, and cognitive science.Minds are functional entities that enable intelligent behavior. In On Minds, Paul Rosenbloom offers reflections and perspectives on the study of minds arising from a multi-decade career focused largely on cognitive architectures—hypotheses concerning the fixed structures and processes that yield a mind, whether ...

This book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From computational foundations to ethical considerations, the book systematically covers essential topics including foundation models, large-scale archi...

Exploring Generative AI Techniques and Applications offers students a comprehensiveand practical guide to the evolving world of Generative Artificial Intelligence. Thisbeginner-friendly book introduces key concepts like GANs, VAEs, Transformers, andDiffusion Models, and explains how AI can generate text, images, music, and more. Withreal-world examples and a focus on ethical, creative, and responsible AI development,the book bridges theory and application...

This textbook covers the foundations, concepts, and implementations of Generative AI. It offers students with the knowledge and skills essential for the evolving field of Generative AI. It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. The implementation of each generative AI model is also part of the textbook.The textbook consists of four parts. Part 1 which consists of two chapters is an introdu...

This book focuses on advancing the integration of multimodal data (text, images, and structured knowledge) to enable precise knowledge extraction and human-like reasoning. The book’s primary objective is to address critical challenges such as modality gaps, semantic misalignment, dataset biases, and static reasoning paradigms. By introducing novel frameworks that unify graph-based learning, hierarchical representation, bias mitigation, and iterative refinement, this book provides systemati...