Mostrando resultados por autor "Ajit Singh" en Todas las categorías

This book, "Superintelligence: The Promise and Peril of Advanced AI," is born out of a critical need for a new kind of textbook. For too long, the study of AI has been bifurcated. On one side lie the deeply technical manuals, dense with mathematics and code, accessible only to specialists. On the other, the speculative, often sensationalist, narratives that discuss the future of AI without a firm grounding in its underlying principles. This book serves as a bridge. It is designed for the next generation of engineers, thinkers, and leaders—the B.Tech and M.Tech students who will not just ...

"Building ChatBot for WhatsApp from Scratch" is an implementation manual, meticulously designed to transform you from an aspiring creator into a capable developer, equipped to build and deploy functional chatbots on the world's most popular messaging application Philosophy: The Practical-First Mandate The core philosophy of "Building ChatBot for WhatsApp From Scratch" is "Learning by Doing." This book is founded on the belief that practical application is the most direct and enduring path to mastery. While theoretical knowledge is important, it only becomes truly valuable when it is applied...

"Metamorph: Self-Creating Artificial Intelligence" is a comprehensive and practical guide to designing and building AI systems that can modify their own architecture and code to adapt and improve over time. It serves as a bridge between foundational AI principles and the cutting-edge field of programmatic self-improvement, making it an essential resource for the next generation of AI developers and computer scientists. Philosophy The core philosophy of this book is "learning by doing." I believe that the most profound understanding of complex systems comes from building them. While ...

"Programming with DNA: A Guide to the Future of Data Storage and Biocomputation" provides a comprehensive and accessible entry into one of the most exciting interdisciplinary fields of the 21st century. This book demystifies the science of using DNA—the fundamental molecule of life—as a substrate for storing vast amounts of data and performing complex computations. It is designed as a one-stop resource that seamlessly integrates the principles of computer science, molecular biology, and information theory into a cohesive and understandable narrative. Key Features: 1. Beginner to ...

This book provides a comprehensive and implementation-focused exploration of Software-Defined Networking (SDN), designed to bridge the gap between abstract theoretical concepts and the practical, real-world skills required to build and manage modern networks. It serves as an essential resource for students, engineers, and developers seeking to master the principles, architecture, and programming of a software-driven network infrastructure. This text is meticulously structured to align with the syllabi of undergraduate (B.Tech/BS) and graduate (M.Tech/MS) computer science courses at ...

"Social Computing" is an authoritative and intensely practical guide designed to navigate the intricate world of social technologies. In an era where online interaction defines our social fabric, this book moves beyond passive observation and equips you with the skills to architect, build, and deploy the very systems that power the connected world. It is a comprehensive resource for students and developers who aspire not just to use social technology, but to create it. This book is a comprehensive and practical guide to the principles, design, and implementation of social computing systems....

"Ising Machines: The Roots of Analog Computing" is a comprehensive textbook designed for undergraduate and postgraduate students in Computer Science and Engineering. It serves as an accessible yet rigorous introduction to the fascinating world of physics-based analog computation, a field poised to redefine the boundaries of high-performance computing. Philosophy The core philosophy of this book is to bridge the gap between classical digital computing and the emerging paradigm of specialized, analog hardware accelerators. For decades, computation has been synonymous with digital logic gates....

"Cloud Native AI: From Monolith to Micro-intelligence" is a comprehensive, practical-first guide designed to bridge the critical gap between Artificial Intelligence development and modern Cloud Native operations. This textbook serves as both a foundational learning resource for students and a practical handbook for professionals, navigating the complete journey from a theoretical AI model to a fully operational, scalable, and resilient production service. Philosophy The core philosophy of this book is "learning by doing." We believe that true mastery of a technical subject like Cloud Native...

"Generative Algorithms : AI as an Inventor" is a comprehensive textbook designed to navigate the exciting and rapidly evolving field where artificial intelligence transitions from an executor of human-designed algorithms to a creator of novel ones. This book serves as both a theoretical guide and a practical handbook for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, as well as for professionals and researchers in the field of AI. Philosophy: The core philosophy of this book is that true innovation in computer science no longer comes just from human ingenuity...

"Reverse Artificial Intelligence : From B to A" is a comprehensive textbook designed to introduce a paradigm-shifting perspective in the study and application of Artificial Intelligence. It moves beyond the conventional predictive (A→B) approach to focus on the generative and prescriptive (B→A) model: starting with a desired goal, outcome, or solution (B) and leveraging AI to systematically construct the optimal path from an initial state (A). Philosophy: The core philosophy of this book is to empower learners to become architects of solutions rather than mere analysts of data. ...

"The Consensus Engine: What is True" is a comprehensive, modern textbook designed to guide students, developers, and researchers through the fascinating world of distributed consensus. It serves as both an introduction to the fundamental principles and a practical guide to the design, implementation, and application of consensus algorithms in real-world systems. Philosophy: The core philosophy of this book is "Learn, See, Build." 1. Learn: We will begin with the first principles. Instead of presenting algorithms as black boxes, we deconstruct them to understand the core problems they solve...

"The AI Co-Pilots for Every Profession" is a comprehensive and practical guide designed to navigate the revolutionary landscape of generative artificial intelligence and its application in creating intelligent assistants. This book serves as both a textbook and a hands-on manual, meticulously crafted for students, educators, and professionals who wish to master the art and science of building AI Co-Pilots. Pedagogy and Philosophy: The core philosophy of this book is that artificial intelligence is most powerful when it serves as an augmentation of human intellect, not a replacement for it. ...

This book provides a comprehensive, practical, and architecturally-focused exploration of Cognitive Middleware—the critical layer that enables the integration, deployment, and management of artificial intelligence within an enterprise. Philosophy: The core philosophy of this book is that successful AI implementation is an architectural discipline, not just a data science one. While building accurate models is essential, creating value from AI at an enterprise scale depends on robust, scalable, and maintainable systems. This book shifts the focus from the "what" of AI algorithms to the "...

"Designing & Modeling Generative AI Applications" is a comprehensive textbook and practical guide for students and professionals seeking to master the rapidly evolving field of Generative AI. This book provides a structured pathway from foundational theory to the hands-on development of sophisticated AI applications. Philosophy The core philosophy of this book is "principled practice." I believe that a robust understanding of Generative AI cannot be achieved through theory alone, nor through simply copying and pasting code. Instead, I foster a deep conceptual understanding of the underlying...

"Generative Everything: Where Innovation meets Imagination" is a comprehensive, practical, and forward-looking guide designed to navigate the dynamic landscape of Generative Artificial Intelligence. It serves as an essential textbook and practical handbook for undergraduate and postgraduate students, as well as a valuable resource for professionals and researchers in the field of computer science and AI. Philosophy The core philosophy of this book is rooted in two principles: Demystification and Empowerment. Generative AI can often seem like a "black box"—a magical technology with opaque ...

"Intent-Based Languages: Code What, Not How" is a comprehensive textbook and practical guide designed for the modern era of software engineering and system administration. It systematically explores the principles, design, and application of intent-based systems, a paradigm that is rapidly becoming the cornerstone of cloud computing, networking, and DevOps. Philosophy The core philosophy of this book is to empower learners to transcend traditional imperative programming. For too long, we have been mired in the minutiae of how a system should perform its tasks. This book champions a higher ...

"LLM.dev : The Next Generation of Coding" is a comprehensive, practical, and beginner-to-advanced guide designed to equip the next generation of software engineers with the essential skills to leverage Large Language Models (LLMs) in modern software development. This textbook systematically demystifies the world of LLM-powered applications, transforming complex AI concepts into accessible, actionable knowledge. Key Features: 1. Hands-on Practicals: Every chapter includes practical labs and code examples to reinforce theoretical concepts and build real skills. 2. Simple and Explanatory ...

This book, "Retrieval-Augmented Generation," is conceived as a definitive guide for the next generation of engineers, data scientists, and AI practitioners. It is born from the recognition that the future of applied AI is not just about bigger models, but smarter systems. RAG represents this "smarter" approach, synergizing the generative power of LLMs with the factual accuracy of classical information retrieval. Key Features: 1. NEP 2020 & AICTE Aligned: The book's pedagogy is rooted in the principles of the National Education Policy 2020. It prioritizes conceptual understanding, hands-on ...

"Explainable AI" is more than just a textbook; it is an invitation to engage with a field that is pivotal to the future of artificial intelligence. It seeks to empower readers not only to understand AI but also to shape its development towards systems that are not just intelligent, but also intelligible, trustworthy, and aligned with human values. This book is intended for undergraduate (B.Tech) and postgraduate (M.Tech) students in Computer Science, Artificial Intelligence, Data Science, and related engineering disciplines. It is also a valuable resource for researchers, practitioners, ...

"AI in Cryptography" is conceived from the urgent need to bridge the pedagogical gap and provide a holistic understanding of this burgeoning interdisciplinary domain. Traditional curricula often treat AI and cryptography as separate subjects. However, the contemporary technological landscape, driven by big data, the Internet of Things (IoT), and sophisticated cyber threats, demands a more integrated approach. This textbook is designed to equip B.Tech and M.Tech students, as well as researchers and practitioners, with the foundational knowledge and advanced insights necessary to navigate and...