Ship a GitHub issue-triage agent from laptop PoC to production - one chapter at a time, fixing real failure modes with contracts, evals, and rollback plans. Built on Pydantic AI for engineers who already know how to ship software and need agents that behave the same way.
In one viral home tour, a dreamweaver invited the world across her threshold—unwittingly handing thieves the map to her soul. The Digital Shadow: Where golden algorithms meet iron crowbars, and true wealth is forged only in the unseen. A luminous cautionary epic for the age of endless visibility.
A river of words that cannot be stilled. Journey with Chinmoy Mukherjee from ancient ghats to a boundless horizon. "I Flow Because I Must" is a poetic movement of endurance and grace.
Artificial Intelligence is powered by neural networks.But how do neural networks actually learn?How do systems recognize faces, understand speech, generate text, and create images?Neural Networks and Architectures: A Comprehensive Guide for Students provides a complete learning pathway from fundamental concepts to state-of-the-art deep learning architectures.Inside this book, you will discover:✓ Biological inspiration behind neural networks✓ Mathematical foundations of deep learning✓ Perceptrons and Multi-Layer Perceptrons (MLPs)✓ Forward Propagation and Backpropagation✓ Activation Functions and Regularization Techniques✓ Convolutional Neural Networks (CNNs)✓ Recurrent Neural Networks (RNNs), LSTM, and GRU✓ Autoencoders and Generative Adversarial Networks (GANs)✓ Transformer Architecture, BERT, and GPT✓ Optimization Algorithms and Model Training✓ Practical Projects using TensorFlow, PyTorch, and Keras✓ Ethical Considerations and Future Research DirectionsDesigned for students, educators, researchers, and AI enthusiasts, this book combines theory, mathematics, implementation, and applications into one comprehensive learning resource.Build a strong foundation in neural networks and prepare yourself for the future of Artificial Intelligence.
Are you preparing for SSC, CGL, Banking, UGC NET, Railways, Insurance, or other competitive examinations?Do you struggle with reasoning questions, logical puzzles, or aptitude-based problems under time pressure?Mastering Math & Reasoning for SSC, CGL, UGC & Banking Exams provides a complete roadmap to improve your problem-solving skills and examination performance.Inside this book, you will learn:✓ Analogy and Classification Techniques✓ Syllogism and Venn Diagram Methods✓ Coded Equations and Logical Patterns✓ Blood Relations and Direction Sense✓ Arithmetic Reasoning✓ Visual Reasoning and Paper Folding✓ Alphabet Tests and Series Analysis✓ Shortcut Techniques for Faster Problem Solving✓ Hundreds of Practice Questions with Solutions✓ Exam-Oriented Strategies for Accuracy and SpeedWritten in a simple and systematic style, this book helps candidates build confidence, strengthen logical thinking, and improve examination performance across multiple competitive examinations.Whether you are a beginner or an advanced aspirant, this guide provides the concepts, strategies, and practice needed to achieve success.
ERTH Assistant is a hands-on engineering guide to building next-generation desktop applications using the ERTH architecture (ElectroBun + Robyn + Turso + HTMX). In an era dominated by bloated client-side SPA frameworks and expensive cloud computing bills, this book champions the return of local computing sovereignty through Local-First philosophy and Edge AI. You will learn how to orchestrate a lightweight native WebView shell, a high-performance Python sidecar backend, an offline-immune libSQL database, and a zero-JS hypermedia UI. Written for independent creators, full-stack hackers, and software engineers, this book provides real-world troubleshooting logs, architectural trade-offs, and step-by-step implementations to help you deliver secure, self-healing, double-click-to-run desktop AI assistants.
What happens when intelligent agents must negotiate, cooperate, compete, and learn simultaneously?Welcome to the advanced frontier of Artificial Intelligence.Game Theory and Artificial Intelligence (VOL-2) explores how modern AI systems make strategic decisions in environments filled with uncertainty, multiple objectives, competing interests, and dynamic interactions.Inside this volume, readers will discover:✓ Nash Q-Learning and Strategic Reinforcement Learning✓ Deep Multi-Agent Reinforcement Learning (MARL)✓ DQN, Actor-Critic, MADDPG, QMIX, and CTDE Frameworks✓ Mechanism Design and Incentive Engineering✓ Decision Making Under Uncertainty✓ Social Choice Theory and Collective Intelligence✓ Game-Theoretic Machine Learning✓ Robotics, Cybersecurity, Economics, and Communication Networks✓ Evolutionary Game Theory and Learning Dynamics✓ Quantum Game Theory and Future AI Research✓ AI Safety, Alignment, and GovernanceFrom autonomous vehicles and intelligent robots to cybersecurity defense systems and large-scale AI simulations, this book provides the theoretical and practical foundations necessary to understand the future of strategic artificial intelligence.Whether you are a student, researcher, engineer, or AI professional, this volume offers a roadmap to some of the most exciting and influential areas of modern AI research.
What happens when intelligent machines must compete, cooperate, negotiate, and learn in the same environment?The answer lies at the intersection of Game Theory and Artificial Intelligence.From autonomous vehicles negotiating road traffic to trading algorithms competing in financial markets, from multi-robot coordination to cybersecurity defense systems, modern AI increasingly operates in strategic environments involving multiple decision-makers.This book provides a complete journey through:✓ Classical Game Theory and Nash Equilibrium✓ Multi-Agent Systems and Distributed Intelligence✓ Reinforcement Learning and Multi-Agent RL✓ Deep Reinforcement Learning Algorithms✓ Mechanism Design and Incentive Engineering✓ AI Applications in Robotics, Economics, Networks, and Cybersecurity✓ Evolutionary and Quantum Game Theory✓ AI Safety, Governance, and AlignmentWritten for students, researchers, educators, and professionals, this book bridges mathematical foundations with cutting-edge AI research and real-world applications.Whether you are learning game theory for the first time or exploring advanced multi-agent intelligence, this book offers the knowledge and tools needed to understand the future of strategic artificial intelligence.
3亿空巢老人 × AI陪伴一本让子女愧疚、让老人温暖的书读完后,你会想给父母打个电话