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

"Brain-Computer Interfaces : A Practical Approach" is a comprehensive and forward-looking textbook designed to guide undergraduate and postgraduate students through the fascinating world of interfacing the human brain with computers. In an age where technology is becoming increasingly integrated with our lives, BCI stands out as the ultimate human-computer interface, offering unprecedented possibilities for medical treatment, human augmentation, and interactive experiences. This book serves as both a foundational guide for newcomers and a valuable reference for advanced learners, bridging ...

About the Book "Xenobot: The Living Machine" is a comprehensive, practical-first textbook designed to introduce B.Tech and M.Tech students of Computer Science to the cutting-edge field of AI-designed living organisms. It bridges the gap between biology and computation, presenting Xenobots as an engineering discipline that can be understood, modeled, and designed using core computer science principles. Philosophy The core philosophy of this book is "From Theory to Application." I believe that a complex, interdisciplinary subject like Xenobots is best understood not through abstract theory, ...

"From Object-Oriented to Agent-Oriented Design" is a comprehensive textbook and practical guide designed for the new era of computing. It serves as a bridge, carefully guiding learners from the well-established principles of Object-Oriented Design (OOD) to the powerful, emerging paradigm of Agent-Oriented Design (AOD). This book is meticulously aligned and structured to meet the rigorous standards of international university courses in Computer Science and Engineering. Philosophy: The core philosophy of this book is that AOD is not merely an extension of OOD but a fundamental shift in ...

This book, "Prompt Engineering," is conceived as a foundational text for the engineers and innovators of tomorrow. For too long, the art of instructing AI has been treated as a mystical craft, a collection of tricks and tips shared in online forums. Our mission is to elevate it to its rightful place as a formal engineering discipline—one with principles, methodologies, and a structured approach to achieving predictable, reliable, and optimal results from AI models. Key Features: 1. Foundations First Approach: Begins with an intuitive explanation of LLMs, tokens, and transformers, ensuring...

"Software Security" is an intensive, practical, and modern guide engineered for the next generation of software developers, architects, and engineers. It serves as a definitive textbook for undergraduate and graduate computer science courses, meticulously aligned with the curricula of leading universities in the USA and worldwide. This book moves beyond abstract theory to provide a direct, hands-on methodology for building secure and resilient software systems from the ground up. It serves as a core text for courses on software security, secure coding, and application security, adhering ...

This textbook serves as both a theoretical primer and a hands-on workbook. It systematically breaks down the core tenets of multimodal learning, from the basics of processing individual data types to the sophisticated techniques used to fuse them into a cohesive understanding. The book's structure is intentionally designed to be accessible, starting with first principles and progressively building towards the state-of-the-art, making it suitable for students with a general background in programming and mathematics but without prior expertise in AI. Who This Book Is For: 1. B.Tech Students: ...

About the Book This book provides a comprehensive, hands-on, and application-centric guide to designing and implementing automated workflows augmented by Artificial Intelligence. It is engineered to take a student from the foundational concepts of automation to the deployment of sophisticated, scalable, and intelligent systems. Philosophy The core philosophy of this book is "learning by doing." I operate on the principle that true understanding in the field of AI automation comes not from memorizing theories, but from building functional systems that solve real-world problems. Every concept...

This book is a comprehensive, practical, and systematic guide designed to take you from the fundamental concepts of neural networks to building and deploying sophisticated Generative AI applications. It is engineered for learners who prefer a hands-on, "learn-by-doing" approach over abstract theoretical discourse. Philosophy The guiding philosophy of this book is "construction over theory." I believe the most profound understanding of a complex system comes from building it from its elementary parts. Instead of just describing what a Transformer model is, we will build the essential ...

"Artificial Intelligence and Neural Networks" is meticulously crafted to serve as a comprehensive and contemporary guide for undergraduate (B.Tech) and postgraduate (M.Tech) students navigating the intricate yet fascinating landscape of AI. In an era where AI is reshaping industries and everyday life, this book aims to equip students with a robust theoretical foundation, practical insights, and an ethical understanding of AI technologies, aligning seamlessly with the forward-thinking National Education Policy (NEP) 2020, the rigorous standards of the All India Council for Technical ...

Welcome to "Full-Stack AI," a comprehensive guide designed for the next generation of engineers, developers, and technology leaders. In an era where Artificial Intelligence is no longer a siloed discipline but the very fabric of modern software, the demand for professionals who can architect, build, and deploy end-to-end AI-powered solutions has skyrocketed. This book is engineered to create such professionals—the Full-Stack AI Engineers. Key Features of the Book: 1. Holistic Full-Stack Coverage: Uniquely covers the entire AI application lifecycle—from data ingestion and model training ...

"Generative Software Engineering" is a comprehensive textbook and practical guide designed for the new era of software development. It systematically demystifies the process of building, deploying, and maintaining software systems powered by generative artificial intelligence. This book serves as a bridge between the abstract concepts of AI and the concrete discipline of software engineering, providing a unified methodology for creating "Software 3.0." Philosophy The core philosophy of this book is that generative AI is not merely a new feature to be added to existing software, but a ...

"Edge AI" stands at the confluence of two of the most transformative technologies of our era: Artificial Intelligence (AI) and Edge Computing. As the digital world expands, generating vast amounts of data at its periphery, the need to process this data intelligently, swiftly, and securely at its source has become paramount. This book is meticulously crafted to serve as a comprehensive, contemporary, and practical guide for B.Tech and M.Tech students, as well as researchers and industry professionals, seeking to master the principles, techniques, and applications of Edge AI. Key Features of ...

"Deep Defense: AI-Powered Threat Intelligence and Behavioral Malware Detection" is a comprehensive and practical guide designed to equip the next generation of cybersecurity professionals with the skills to build intelligent, proactive, and adaptive defense systems. The book operates on a simple yet powerful philosophy: the most effective way to combat the complexity of modern cyber threats is not with more complex rules, but with systems that can learn, adapt, and predict. This book ensures that students move beyond passive learning to active skill acquisition, preparing them for the ...

"The LLM Stack: Systems Engineering for Generative AI at Scale" provides a comprehensive, end-to-end exploration of the infrastructure, tools, and techniques required to build, deploy, and operate large language model applications in the real world. Philosophy: The core philosophy of this book is that Large Language Models are complex, distributed computing problems disguised as mative, focusing on performance, reliability, scalability, and cost-efficiency. My goal is to demystify the entire stack, from the GPU kernel level to the application API, providing readers with a holistic and deep ...

"Cyber Law In India" is a comprehensive textbook and practical guide meticulously designed to navigate the dynamic and complex legal landscape of the digital world. The book is oriented to its title, providing an in-depth yet accessible exploration of India's cyber legal framework, contextualized with global standards and emerging technological trends. NEP 20 COMPLIANT Philosophy The core philosophy of this book is to bridge the gap between technology and jurisprudence. It operates on the principle that an effective understanding of cyber law cannot be achieved by studying legal statutes in...

This textbook, "Statistical Techniques for Machine Learning," is born from a desire to bridge this gap. It is crafted specifically for the next generation of technologists—the B.Tech and M.Tech students who will build the future. Our philosophy is simple: to demystify the statistical principles that are the lifeblood of machine learning. We eschew overly dense mathematical notation in favor of intuitive explanations, practical examples, and a clear line of sight from statistical theory to real-world ML application. Key Features of This Book: 1. NEP 2020 & AICTE Compliant: The structure ...

"Knowledge Graph" is a comprehensive, practical, and student-centric guide designed to navigate the dynamic and powerful world of connected data. This book serves as a one-stop resource for B.Tech and M.Tech students, bridging the gap between foundational theory and cutting-edge, industry-relevant application. It systematically demystifies how to model, build, query, and leverage Knowledge Graphs to create truly intelligent systems. Key Features of This Book: 1. Beginner to Advanced Trajectory: The 10-chapter structure provides a smooth learning curve, starting from the absolute basics of ...

"Distributed Machine Learning Systems" is a comprehensive textbook and practical guide designed to navigate the exciting and complex intersection of machine learning and distributed computing. It serves as a one-stop resource for students, academics, and professionals seeking to understand, design, and implement machine learning solutions at scale. Philosophy The core philosophy of this book is to bridge the gap between theory and practice. Machine learning is not merely a collection of algorithms; it is an engineering discipline. Similarly, distributed systems are not just theoretical ...

"Building AI-Powered Games from Scratch" is a comprehensive, practical guide designed to teach students, hobbyists, and aspiring developers how to build Artificial Intelligence systems for games from the ground up. It methodically moves from foundational principles to advanced machine learning techniques, with a relentless focus on hands-on implementation. Philosophy The core philosophy of this book is "Code First, Theory Second." I believe the most effective way to understand complex AI concepts is to build them. Instead of getting bogged down in dense academic theory, each topic is ...

"Llama: State-of-the-Art Technology" is a comprehensive, practical, and student-centric guide to understanding and mastering the Llama family of Large Language Models. This book serves as a one-stop resource that takes the reader from the foundational principles of language models to the deployment of sophisticated, real-world AI applications. It is meticulously designed to bridge the gap between academic theory and industry practice, making it an essential text for the next generation of AI professionals. Key Features of This Book: 1. Beginner to Advanced Progression: The book starts with ...