Wiley-VCH - Computer Science

Designing the AI-Driven Data Foundations

Mohan, Sanjeev — 4 Aug 2026 08:17:17 +0200

Build AI-powered data platforms that unify analytics and intelligence The playbook for data and AI architecture has been rewritten. This is the guide to what comes next. For decades, data architectures were optimized for a predictable set of workloads. AI changes every layer of the stack where autonomous agents, not just humans, consume data. The architectures that worked for traditional analytics cannot meet these demands. Designing the AI-Driven Data Foundations is a comprehensive guide to architecting platforms for this new reality. Drawing on his experience as principal analyst at SanjMo and former VP of Research at Gartner, where he advised thousands of enterprises on data strategy, renowned analyst Sanjeev Mohan delivers vendor-neutral guidance for navigating a landscape where yesterday's best practices no longer apply. The book systematically unpacks each layer of contemporary data stacks, from operational and analytical data stores through ingestion, integration, analytics, generative AI, governance, security, privacy, and operations. The data architecture landscape is experiencing unprecedented disruption. AI has catalyzed changes across the entire data management stack: hardware optimized for vector operations, engineering practices reimagined for unstructured content, and consumption patterns transformed by autonomous agents. Designing the AI-Driven Data Foundations examines how the rise of unstructured data and AI agents as first-class consumers are redefining architectural principles that have guided the industry for decades. You'll also discover: * A unified and comprehensive data and AI strategy * Techniques to avoid vendor lock-in * Frameworks for evaluating data stores * Contextual data integration pattern that replaces ETL for AI workloads * Coverage of AI-ready data governance, quality and security * DataOps and observability practices that operationalize trust at scale Perfect for data architects, and technical leaders who must make consequential platform decisions, Designing the AI-Driven Data Foundation s translates the complexity of data and AI infrastructure into actionable architectural decisions that serve both human analysts and autonomous agents. [272 Pages, Softcover]

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CompTIA CySA+ Study Guide

Chapple, Mike / Seidl, David — 31 Jul 2026 08:17:34 +0200

[560 Pages, Softcover]

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Python & AI For Dummies

Shovic, John C. / Everett, Mary — 31 Jul 2026 08:17:21 +0200

Unlock the combined power of Python and AI to supercharge your next technical project and your career Python & AI For Dummies explores the exciting combo of two revolutionary technologies that are reshaping how we work, code, and solve problems. Authors John C. Shovic and Mary Everett draw on their extensive work in computer science, precision agriculture, and artificial intelligence to walk you through the intersection of Python programming and AI applications. No matter your professional background, learn how to use Python's versatility to unlock AI's transformative power. This guide offers hands-on approaches to implementing AI with Python. It moves from foundational concepts to advanced applications, covering essential Python libraries: TensorFlow, PyTorch, OpenCV, and scikit-learn. It also explores essential AI concepts, like neural networks, machine learning models, and natural language processing. Python & AI For Dummies is packed with hands-on projects and real-world examples, that explain how to build machine vision systems, create language models, implement reinforcement learning, and develop AI agents. Broken down into manageable, jargon-free lessons, explore topics from theoretical programming fundamentals to cutting-edge AI applications. Inside the book: * Grasp fundamental AI concepts including machine learning, neural networks, and deep learning architectures * Explore eight essential Python libraries designed specifically for AI development and data manipulation * Build practical projects, including machine vision systems, large language models, and AI agents * Learn proven techniques for data preprocessing, model training, and avoiding common pitfalls like overfitting * Gain insights into emerging technologies including generative AI, transformers, and the Model Context Protocol A can't-miss resource for programmers interested in expanding their AI skillset, professionals in finance or marketing who want to develop new capabilities, and small business owners ready to streamline their operations, Python & AI For Dummies offers step-by-step guidance, troubleshooting tips, and real-world applications in industries from manufacturing to agriculture. [416 Pages, Softcover]

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The Future of Money, Investments, and Financial Services

Sharma, Renuka / Mehta, Kiran (eds.) — 28 Jul 2026 08:17:20 +0200

[448 Pages, Hardcover]

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Neuro-Symbolic AI

24 Jul 2026 08:17:22 +0200

[400 Pages, Hardcover]

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Transforming Digital Education

Tyagi, Amit Kumar (ed.) — 24 Jul 2026 08:17:19 +0200

[784 Pages, Hardcover]

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AI Security Engineering

Rajan, Ashish — 24 Jul 2026 08:17:18 +0200

Design, Build, and Secure Dependable AI Systems Across the Enterprise Lifecycle AI is rapidly becoming part of core enterprise systems but most security programs were not designed for systems that are probabilistic, adaptive, and increasingly autonomous. AI Security Engineering provides a foundational, engineering-first playbook for designing, operating, and scaling secure AI systems across the enterprise lifecycle. Written by Ashish Rajan, a CISO advising Fortune 500 organizations on AI security, this book focuses on security for AI systems not AI used as a security tool. It examines how AI changes traditional security assumptions and how organizations must adapt their architectures, pipelines, governance models, and operating practices to manage AI risk effectively in production environments. Rather than focusing on tools or point solutions, AI Security Engineering applies security engineering principles to modern AI systems. It covers AI threat models, secure AI pipelines, runtime detection and incident response, governance and compliance at scale, and the emerging challenges of agentic and multi-model systems. Readers are guided through how to evolve existing security programs to support AI-enabled applications without slowing delivery or becoming the "department of no". This book shows how to: * Design and operate secure AI systems across their full lifecycle from architecture and delivery to operations and scale * Defend production AI applications against adversarial, emergent, and agent-driven threats * Embed governance and risk controls into AI pipelines using engineering-first approaches * Operate AI security in dynamic environments, including third-party and agentic systems * Balance regulatory compliance, system performance, and engineering velocity CISOs seeking strategic clarity for AI security investments, security architects designing resilient systems, and engineers responsible for operating AI in production will find this book a durable reference for building dependable AI systems at enterprise scale. [368 Pages, Softcover]

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Cybersecurity Auditing

Edwards, Jason — 24 Jul 2026 08:17:17 +0200

Practical guide to cybersecurity controls, systems, programs, and management Cybersecurity Auditing is a comprehensive, field-tested guide to the full spectrum of cybersecurity auditing, enabling readers to assess, evaluate, and improve security controls across today's complex IT environments. It covers cybersecurity operations, governance, and risk management, offering a practical auditing roadmap that spans internal systems, cloud infrastructure, application development, and vendor ecosystems. From the fundamentals of audit planning to the nuanced challenges of assessing hybrid environments, each chapter is structured to deliver actionable insights, technical depth, and strategic relevance. Forward-looking chapters explore automation, continuous auditing, and AI integration, making the book a future-ready resource in an evolving cybersecurity landscape. Cybersecurity Auditing discusses: * Security standards and regulations (NIST CSF/800-53, ISO 27001, SOC 2, PCI, HIPAA) and risk assessment and control design for modern systems * Identity and access management, network and perimeter security, application and API security / CI-CD (DevSecOps), cloud and saas security, data protection (encryption, DLP, key management), and logging, monitoring, and detection * Incident response and crisis management, vulnerability management and pen test oversight, and third-party and supply-chain security * Audit reporting and executive communication, and annual audit planning and capability development Whether used as a primary reference, instructional text, or professional desk guide, Cybersecurity Auditing provides the structure and depth needed to effectively elevate cybersecurity audit engagements and improve organizational assurance. [480 Pages, Hardcover]

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Medical Metaverse for Digital Healthcare

24 Jul 2026 08:17:13 +0200

[448 Pages, Hardcover]

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Topology Design for Large-Scale Interconnection Networks

Shao, Ziyu / Deng, Yichi — 23 Jul 2026 08:17:17 +0200

Transforming Network Topology Design from Art to Science For decades, the design of large-scale network topologies has relied heavily on heuristic intuition and bottom-up engineering experience. While classic structures like Fat-tree have achieved immense success, the underlying mathematical principles governing their performance have remained largely implicit. This book introduces the first general framework capable of systematically generating and optimizing large-scale network topologies through a rigorous top-down approach. It reveals the hidden mathematical principles behind successful engineering designs, using Ramanujan graphs and combinatorial designs to achieve the optimal trade-off among various performance metrics. From clarifying the success of classic Fat-tree topology to designing future-proof AI clusters, this framework provides a universal blueprint for next-generation interconnection networks. It is an essential guide for researchers, engineers, industry professionals and students seeking to master the topology design and analysis of interconnection networks. Topics explored in this book include: * Mathematical background of topology design, including basic graph theory, algebra graph theory and combinatorial design * A unified topology design flow, including intra-module design, connection design, inter-module design, and finalization * Reinterpretation and evolution of several representative topology design instances, including families of fat-tree, HyperX, Dcell, and Bcube * The design method of brand-new topologies from scratch and guiding principles for the selection of design patterns and parameters * Applications to intelligent computing center (AI Cluster) and other emerging scenarios * Future directions of topology design, including both theoretical exploration and practical extension [400 Pages, Hardcover]

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AI Powered Digital Twins

Nelson, Hala — 21 Jul 2026 08:17:15 +0200

Build secure, effective digital twins using proven engineering principles and AI foundations AI Powered Digital Twins: A Guide for Humans, Engineers, and Enterprises provides a unified framework for implementing digital twin systems where AI agents reason, act, and remain governed. Hala Nelson lays out a 12-layer engineering architecture spanning raw data ingestion, semantic spine, event, native core, agent reasoning loops, simulation, Zero Trust security, and governance lifecycle. The architecture targets systems that must perform in critical infrastructure rather than demonstrations. The book delivers a human-centered Standard of Care framework alongside real-world case studies from critical infrastructure and system engineering. Readers gain practical guidance on integrating AI, data engineering, asset tagging, knowledge graphs and quantum computing within digital twin environments. Coverage includes accountability frameworks modeled on the rigor of aviation, healthcare, and civil engineering, plus an AI and data strategy designed to translate directly into measurable business value. The book stresses engineering discipline to bridge the gap between AI investment and real-world delivery. The book contains: * How AI agents reason, act, and stay governed within digital twins using Zero Trust security and governance controls * A modular architecture for blending physical and virtual worlds while protecting safety across operational technology environments * Accountability frameworks modeled on aviation, healthcare, and civil engineering that hold AI systems to a standard of care * Case studies demonstrating implementation strategies for manufacturing and integrated system engineering * An AI and data strategy that translates into measurable business value rather than a policy document on a shelf 17 chapters. One architecture. Zero handwaving about security. A must-read for engineers, architects, technical leaders, strategists, and the policymakers who depend on their judgment. [368 Pages, Softcover]

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Generative Artificial Intelligence in Ophthalmology, 2 Volume Set

21 Jul 2026 08:17:14 +0200

[896 Pages, Hardcover]

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Artificial General Intelligence

17 Jul 2026 08:17:14 +0200

[480 Pages, Hardcover]

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Google Gemini For Dummies

Di Bello, Bonaventura — 16 Jul 2026 08:17:24 +0200

Tap into the power of AI right where you already work With AI tools popping up everywhere, finding the right one for your workflow can be a little intimidating. Google Gemini For Dummies makes it easy by showing you how to use AI directly from the apps you already rely on every day. Discover how to craft effective prompts, summarize long email threads, generate presentation content, and draft ideas - all within Google Workspace. This friendly guide walks you through Gemini's interface and explains its core capabilities in plain English. You'll learn techniques for getting better results from your prompts, explore practical ways to boost your productivity, and find out how to use AI responsibly. Plus, get a glimpse into the future of Google's AI innovations and what they mean for you. Inside the book: * Get a guided tour of Gemini's interface and learn how to navigate its features with confidence * Discover techniques for crafting prompts that deliver the results you actually want from your AI assistant * Explore practical ways to implement Gemini across Gmail, Docs, Sheets, and other Google Workspace tools * Learn responsible AI practices so you can use these powerful tools ethically and effectively every day * Find out what's next for Google AI and how upcoming innovations might transform your daily workflow Whether you're a Google AI Pro subscriber, a business user looking to streamline workflows, or an educator integrating AI into your programs, this Dummies guide has you covered. Time to put AI to work for you - the friendly, accessible way. [320 Pages, Softcover]

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Distributed Algorithms and Protocols for the Metaverse

Pandey, Abhishek Kumar / Tarun, Sashi / Sardana, Anita / Anand, Abhineet (eds.) — 15 Jul 2026 08:17:17 +0200

[432 Pages, Hardcover]

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Ensuring Privacy in Digital Twin Ecosystems

15 Jul 2026 08:17:16 +0200

[576 Pages, Hardcover]

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X-ray Photoelectron Spectroscopy

van der Heide, Paul — 15 Jul 2026 08:17:13 +0200

How to apply XPS and related techniques with real-world case studies X-ray photoelectron spectroscopy has become the cornerstone technique for characterizing the composition and chemistry of solid surfaces. X-ray Photoelectron Spectroscopy: An Introduction to Principles and Practices, Second Edition, delivers thoroughly revised coverage (along with two new chapters) reflecting significant advances since the first edition. Paul van der Heide, with decades of hands-on experience in surface analysis, guides readers from foundational concepts to practical applications. This starts with a prelude on the discovery of photoelectron emission to the impact of surface science. Hardware from both a components and system level are then introduced with a short foray into related techniques (such as HAXPES and NAP-XPS) along with what relates and differentiates XPS and PES. Topics included range from sample handling, methodology development, instrument operation, automation, quantification to data interpretation. This is tied up with a selection of lab, fab and synchrotron based case studies. Students through to practitioners in the areas of chemistry, physics, and/or material science will find this an authoritative resource for understanding and applying XPS and related techniques. [384 Pages, Hardcover]

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AWS Certified CloudOps Engineer Study Guide

Cabianca, Dario / Roberts, Justin — 13 Jul 2026 08:17:24 +0200

Efficiently prepare for the AWS Certified CloudOps Engineer Associate SOA-C03 exam AWS Certified CloudOps Engineer Study Guide: Associate (SOA-C03) Exam provides targeted preparation for professionals seeking AWS certification. Written by Dario Cabianca and Justin Roberts, this guide covers the five domains tested on the current SOA-C03 exam: monitoring, logging, analysis, remediation and performance optimization; reliability and business continuity; deployment, provisioning, and automation; security and compliance; networking and content delivery. The study guide delivers exam-aligned content structured around official AWS certification objectives. You'll explore the AWS Well-Architected Framework in depth, including how it helps CloudOps engineers design workloads that are performant, reliable, secure, cost-optimized, and operationally efficient across AWS environments. The guide also provides extensive coverage of core operational skills such as Amazon CloudWatch monitoring, building resilient and high-performing architectures with AWS Auto Scaling, implementing automation best practices, creating infrastructure as code with AWS CloudFormation, designing IAM policies, managing VPC networking, and applying cost-management tools. Each chapter maps directly to specific exam domains, ensuring comprehensive preparation for the operational scenarios and troubleshooting questions that define the SOA-C03 exam. You'll find: * Extensive hands-on resources, practice tests (with answers), and tools to efficiently increase exam readiness * Detailed coverage of all tested domains and critical on-the-job competencies * Complimentary access to Sybex's proven library of digital resources, including an online test bank, bonus questions, flashcards, and glossary This study guide serves Cloud Operations teams, including systems administrators, DevOps engineers, and IT professionals preparing for the AWS Certified CloudOps Engineer Associate SOA-C03 exam. Readers gain structured preparation across all five exam domains, building the operational knowledge and troubleshooting skills required to manage AWS environments and achieve certification. It's also perfect for working professionals seeking to refresh their skillset or looking for a useful CloudOps desk reference. [656 Pages, Softcover]

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Retrieval Augmented Generation for Natural Language Processing

13 Jul 2026 08:17:13 +0200

[480 Pages, Hardcover]

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Cyber-Secure Load Frequency Control for Power Systems

Liu, Xinghua / Qiao, Siwei / Xiao, Gaoxi / Wang, Peng — 9 Jul 2026 08:17:20 +0200

New solutions for development trends in power systems in response to rising concerns with security issues Cyber-Secure Load Frequency Control for Power Systems delivers an analysis of power systems and their problems with cybersecurity in complex, crowded environments. The book investigates control approaches balancing load demand and generation, encompassing cyber-attack contamination, renewable energy fluctuation, and electric vehicle connection and integration of battery energy systems. Two perspectives are highlighted as solutions to the growing issues in power systems. The first proposes new defense methods in consideration of attack modeling and the second describes actual behavior of the attacks with new attack models. Cyber-Secure Load Frequency Control for Power Systems explores sample topics including: * Security performance of MOSMLFC power systems under historical frequency-triggered DOS attacks * Fuzzy output sliding mode load frequency control of a power system under motion-trends-based deception attacks * Reliable AMD event-triggered control of wind power systems under frequency-based deception attacks * Observer-based sliding mode load frequency control of power systems under deception attacks * Memory-based event-triggered fault-tolerant load frequency control of multi-area power systems with electric vehicles Cyber-Secure Load Frequency Control for Power Systems is an excellent advanced resource for graduate-level students and professionals in electrical engineering and control engineering. The book is also valuable for algorithm researchers and engineers in related fields. Prerequisite knowledge includes calculus, linear algebra, and control theory. [304 Pages, Hardcover]

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Psychopathology Diagnosis and Treatment

Kumar, Abhishek / Singh Rathore, Pramod (eds.) — 3 Jul 2026 08:17:25 +0200

[784 Pages, Hardcover]

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Advanced Retrieval-Augmented Generation

Wei, Wendy Ran / Wu, Huijun — 3 Jul 2026 08:17:18 +0200

Build Accurate, Grounded, and Trustworthy AI Systems with Retrieval-Augmented Generation Large language models are powerful--but they hallucinate. Advanced Retrieval-Augmented Generation offers a complete guide from the foundations of information retrieval (IR) to the cutting-edge frontiers of RAG. Bridging large language models (LLMs) and knowledge graphs (KGs), this book provides the theoretical principles, practical techniques, and hands-on frameworks needed to build reliable AI systems that minimize hallucinations and improve factual correctness. The book covers core concepts of Graph-RAG with applications across search, recommendation, and enterprise AI. Practical chapters demonstrate implementations using LlamaIndex, Neo4j, and leading Graph-RAG frameworks. Readers will learn: * IR and LLM fundamentals -- model paradigms, transformer architecture, model families, training techniques, prompt engineering, applications, and limitations * RAG pipeline engineering --chunking, indexing, retrieval, ranking, and generation * KG construction and analytics -- schema design, extraction techniques, graph algorithms, embeddings, and GNNs * Graph-RAG architectures and evaluation -- graph-based retrieval, graph-assisted generation, hybrid LLM-KG workflows, frameworks, benchmarks, and metrics * Emerging directions -- multimodal KGs, dynamic graphs, explainable RAG, RL-based traversal, and enterprise-scale implementations With extensive hands-on examples and production-ready patterns, Advanced Retrieval-Augmented Generation is an indispensable resource for AI practitioners, ML engineers, researchers, and architects building the next generation of reliable, knowledge-grounded AI systems. [560 Pages, Hardcover]

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Pharmacogenomics Using Artificial Intelligence

3 Jul 2026 08:17:14 +0200

[352 Pages, Hardcover]

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Nonvolatile Memory and Selector Devices

Banerjee, Writam (ed.) — 2 Jul 2026 08:17:23 +0200

PART I: INTRODUCTION TO NONVOLATILE MEMORY Introduction 3-D NAND Flash memories: technological evolution and prospective applications Reliability Challenges of NAND Flash Memory in Harsh Environments Two-Dimensional Materials for Future Transistors PART II: NONVOLATILE MEMORY BASED ON VARIOUS MECHANISMS Phase-Change Memory Magnetic Random Access Memory: Past, Present and Future HfO2 in Ferroelectric Devices key physics and critical challenges Hafnium Oxide-Based Ferroelectric Memories: Applications and Future Prospect Programmable Read-Only Memory (PROM) NRAM: a disruptive carbon-nanotube nonvolatile resistance-change memory Photonic Nonvolatile Memory PART III: REDOX-BASED EMERGING NONVOLATILE MEMORY DEVICES Conductive Bridge Random Access Memory (CBRAM) Devices - Materials, Filament Scaling, and Performance OxRAM Modeling and HRRAM Two-dimensional (2D) Materials for Scalable Resistive Switching Devices Reliability and Variability Analysis of Resistive Switching Memory Devices Productization of ReRAM, from concept to market PART IV: SELECTOR DEVICES, AND CHARACTERIZATION TECHNIQUES Electrical characterization, modeling, and simulation of HfO2-based CRS devices Switching Dynamics of Ag- and Cu-based Diffusive Memristors Amorphous chalcogenide-based threshold switches for selector and memory applications Strategies for the nanoscale characterization of volatile and nonvolatile filaments PART V: APPLICATIONS OF EMERGING NONVOLATILE MEMORY DEVICES Emerging Devices for Neuromorphic Sensing and Computing Nonvolatile Resistive Memory Technology for Deep Neural Network Hardware Applications Accelerating Algorithms using Emerging Nonvolatile Memory Subsystems for Edge Computing Hardware Security using Emerging Nonvolatile Memories Evolution of Optoelectronics with Memristors: From Advanced Photodetection to Eye-Like Processing and Beyond Adapting Emerging NonVolatile Memristor Technology for RF Applications [880 Pages, Hardcover]

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Machine Learning and AI for Precision Plant Epigenetics

Chen, Jen-Tsung (ed.) — 1 Jul 2026 08:17:23 +0200

Harness artificial intelligence to develop stress-resilient crops for sustainable agriculture Machine Learning and AI for Precision Plant Epigenetics demonstrates how to develop climate-resilient crops by integrating AI with RNA-based epigenetic technologies. Edited by Professor Jen-Tsung Chen, a leader in plant biotechnology, this volume integrates insightful contributions from experts around the world that discuss how ML and AI models can revolutionize plant breeding and crop improvement to ensure food security under changing environmental conditions. The book explores applications across sixteen chapters, covering AI-driven epigenome engineering, CRISPR/Cas9-mediated precision editing, intelligent approaches to combat abiotic and biotic stresses, and AI-enabled RNA interference. It explores the use of AI models for studying non-coding RNAs, predicting plant epigenetic landscapes, unlocking heat stress memory mechanisms, and uncovering plant-microbiome interactions critical for productivity. The book: * Integrates machine learning with RNA technologies to enhance epigenetic modifications through non-coding RNAs and refine gene silencing capabilities * Demonstrates AI-advanced CRISPR/Cas systems for precision genome engineering to develop crops with enhanced quality, yield, and stress resilience * Provides strategies for studying plant epigenetic landscapes under abiotic stress and developing intelligent priming systems against biotic threats * Features contributions from leading international researchers at prestigious institutions * Addresses ethical and regulatory considerations essential for responsible implementation of artificial intelligence in agricultural biotechnology and crop development This essential resource is tailored for researchers in plant biology, stress physiology, crop breeding, computational biology, and bioinformatics. It offers a forward-looking perspective on developing sustainable agriculture systems that support global food security in an era of climate change and increasing environmental challenges. [496 Pages, Hardcover]

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Implementing SDG 16 Goals with Artificial Intelligence

Kaunert, Christian / Raghav, Anjali / Singh, Bhupinder (eds.) — 1 Jul 2026 08:17:15 +0200

[368 Pages, Hardcover]

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Platform Engineering

30 Jun 2026 08:17:18 +0200

[512 Pages, Hardcover]

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Tiny Machine Learning

30 Jun 2026 08:17:17 +0200

[528 Pages, Hardcover]

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Affective Artificial Intelligence

30 Jun 2026 08:17:16 +0200

[384 Pages, Hardcover]

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Emotional Intelligence-Driven Engineering

24 Jun 2026 08:17:12 +0200

[592 Pages, Hardcover]

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Blockchain Solutions for Securing Internet of Things Networks

24 Jun 2026 08:17:11 +0200

[496 Pages, Hardcover]

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Cybersecurity 5.0

Zangana, Hewa Majeed — 24 Jun 2026 08:17:10 +0200

Autonomous, predictive, and self-healing cybersecurity systems powered by AI Traditional cybersecurity approaches can no longer keep pace with zero-day exploits, ransomware, insider threats, and adversarial AI attacks. Cybersecurity 5.0: AI-Driven Strategies for Proactive Threat Defense introduces a transformative paradigm that leverages artificial intelligence, machine learning, and big data to build autonomous, predictive, and self-healing security systems. The book presents a unified Cybersecurity 5.0 framework that integrates AI-driven analytics, blockchain technologies, and quantum-resistant cryptography within the context of Industry 5.0 and rapidly expanding IoT ecosystems. It demonstrates how intelligent systems can anticipate, detect, and mitigate threats across enterprise, government, and academic environments. The book also covers: * Ethical, sustainable, and socially responsible approaches to deploying cybersecurity technologies within organizations and broader society * Practical strategies for constructing resilient, self-healing systems that autonomously detect and neutralize threats before damage occurs * AI and machine learning techniques applied to predicting zero-day exploits, ransomware campaigns, and adversarial AI-driven attacks Cybersecurity 5.0 serves practitioners, researchers, IT managers, and graduate students who need to move beyond conventional defense measures. By connecting AI, blockchain, IoT security, and quantum-resistant strategies within a unified Cybersecurity 5.0 paradigm, this book equips readers to architect proactive, adaptive cyber defense systems. [560 Pages, Hardcover]

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Cybersecurity for Medical Devices

Basta, Rebecca M. / Anwar, Waqar — 24 Jun 2026 08:17:09 +0200

Protect medical devices with lifecycle security strategies that safeguard patients Connected medical devices from pacemakers to diagnostic imaging systems present unique cybersecurity vulnerabilities that directly impact patient safety. Cybersecurity for Medical Devices provides healthcare cybersecurity professionals and medical device engineers with actionable guidance on embedding security throughout the device lifecycle. Written by a Certified Health Data Analyst and cybersecurity specialist, this book integrates clinical realities with technical security frameworks. The book delivers step-by-step instruction in risk assessment, threat modeling, device architecture review, regulatory compliance, and incident response. It addresses how security measures must integrate with fast-paced healthcare delivery environments while establishing cybersecurity as an ethical imperative. Real-world examples ground theoretical concepts in documented incidents, tracing the evolution from security through obscurity to sophisticated threat models. The book also provides: * Comprehensive frameworks for embedding security from device conception through decommission, addressing each phase of the medical device lifecycle systematically * Detailed threat modeling approaches specific to networked medical equipment including implantable devices, diagnostic systems, and hospital network infrastructure * Guidance on navigating regulatory compliance requirements while maintaining operational efficiency in high-pressure clinical environments and healthcare delivery settings * Ethical frameworks positioning cybersecurity as a patient safety imperative rather than merely a technical checkbox or compliance requirement * Historical context explaining how medical device security evolved alongside increasingly sophisticated cyberattack methodologies targeting healthcare systems Healthcare cybersecurity professionals, medical device engineers, regulatory compliance officers, and clinical IT managers will find this book connects security expertise with medical device engineering realities. Researchers and advanced students studying healthcare technology security gain practical frameworks applicable to emerging connected device challenges. [368 Pages, Hardcover]

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Material and Artificial Intelligence in Architecture

Coersmeier, Jonas — 23 Jun 2026 08:17:09 +0200

Offers a bold and materially grounded rethinking of design with artificial intelligence, and proposes a new model of agency distributed across material, artificial, and human actors Rooted in material philosophy and ecological design thinking, Material and Artificial Intelligence in Architecture establishes a comprehensive framework for understanding AI in architecture. Conceptually rigorous yet accessibly written and visually rich, the book interweaves design, theory, technology, and practice to explore how artificial intelligence, material agency, and human authorship will co-create the built environment of the future. Challenging both pervasive fear-driven narratives and techno-solutionist hype that dominate public discourse around AI, the book proposes a new plane of engagement--introduced as Shared Materiality. This concept recognizes the entangled agency of human, artificial, and material actors. It also addresses the ethical, ecological, and social implications of AI technologies, including the vast energy demands of AI systems, embedded algorithmic bias, and broader concerns about systemic inequity and access. Specifically within the field of architecture, it critiques the dominance of image-based AI in current architectural discourse and practice, redirecting attention to geometry, morphology, and structure--fundamental spatial dimensions of architecture--and discusses emerging AI models that engage these domains. Drawing on the author's extensive teaching and research experience, Material and Artificial Intelligence in Architecture discusses: * Theory, technology, and design: a rare integration of architecture's core domains, combining deep conceptual framing, technological insight, and advanced experimentation in design. * Comprehensive conceptual framework: for understanding AI in architecture, rooted in new materialist thought and philosophical realism. * AI intuition: cultivating future designers' ability to collaborate with AI through attuned expertise rather than control. * Advanced methodologies for Urban Design and Urban Housing design: with a detailed presentation of speculative studio work that integrates AI, robotic fabrication, and material practice. * Critique of typology in architecture: proposing instead an open taxonomy: a dynamic, adaptive classification system that aligns with the distributed logic of AI systems. * Critique of image-based AI in architecture: advocating geometry-based approaches that emphasize spatio-tectonic reasoning, material articulation, and spatial intelligence. * Ethical and ecological implications of AI systems: addressing authorship, access, equity, energy consumption, algorithmic bias, and the extractive infrastructures underlying current technologies. Material and Artificial Intelligence in Architecture delivers cutting-edge insights for architects, design enthusiasts, and interdisciplinary readers interested in the intersection of design, philosophy, and artificial intelligence. It is also highly suitable for students, educators, and researchers in architecture and design, with particular relevance to graduate-level and post-professional programs. [320 Pages, Softcover]

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Microsoft Copilot für Dummies

Minnick, Chris — 18 Jun 2026 08:17:10 +0200

Microsoft hat Windows 11 und seine Microsoft 365-Anwendungen um Funktionen mit KI erweitert. Chris Minnick zeigt Ihnen, wie Sie Copilot an individuelle Bedürfnisse und Aufgaben anpassen, gute Prompts schreiben, Copilot mit Plug-Ins erweitern und im Projektmanagement einsetzen. [352 Pages, Softcover]

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Energetic Materials and Techniques

DeLuca, Luigi T. / Doherty, Ruth M. (eds.) — 18 Jun 2026 08:17:08 +0200

Volume 1 PART 1: NOVEL AND FUTURE ENERGETIC MATERIALS Chapter 1 Application of AI and ML to Novel Energetic Materials Chapter 2 Smart Energetic Materials: Concepts, Principles, and Verifications Chapter 3 Neural networks in development of High-Energy Materials Genome Chapter 4 Problems and Approaches for Estimating the Enthalpy of Formation of Energetic Materials PART 2: ENERGETIC MATERIALS FOR CHEMICAL PROPULSION AND POWER GENERATION Chapter 5 Investigation on the combustion of silicon as a carbon-free energy carrier Chapter 6 Combustion of aluminum-based reactive materials: an overview of theoretical developments Chapter 7 Stepwise Decomposition and Synergistic Oxidation Coupling in the Combustion Process of Magnesium Diboride Particles Chapter 8 Advances and Applications of Functionalized Graphene in Metal Fuel Combustion: A Review PART 3: SENSITIVITY OF ENERGETIC MATERIALS Chapter 9 Research Progress on the Physicochemical Mechanisms of Mechanical Sensitivity of Nitramine Crystals Chapter 10 Insights into the Impact Sensitivity of Cyclic Nitramines Chapter 11 Physics-Aware Deep Learning Methods for Modeling Spatiotemporal Dynamics in Energetic Materials Volume 2 PART 4: SOLID ROCKET PROPULSION Chapter 12 Metal oxides catalysis of AN/AP modern solid propellants Chapter 13 Novel graphene-based and g-C3N4-based combustion catalysts for solid propellants Chapter 14 Ammonium nitrate-based cocrystals: Promising oxidizers for solid rocket propellants Chapter 15 On the preliminary particle size distribution measurements in a new installation that reduces inherent bias Chapter 16 Opportunities and challenges of a new UV-based 3D printing technique for composite solid propellants Chapter 17 A Model on Burn Rate Scaling for Solid Rocket Motor Performance Prediction PART 5: HYBRID ROCKET PROPULSION Chapter 18 Metal-Organic Hybrid Hypergolic Materials Chapter 19 Paraffin-based Fuels for Hybrid Propulsion: Metal Additives vs. 3D-Printed Cellular Structures for Regression Rate Enhancement Chapter 20 Surface Accumulation Layers in Metallized Solid Fuel Propulsion Chapter 21 Hypergolic Propellants Based on Hydrogen Peroxide Oxidizer PART 5: MODERN COMPUTATIONAL TECHNIQUES Chapter 22 A Numerical Study of Combustion Characteristics of a HTPB-based Propellant under Rotational Sweep Flow Chapter 23 Accelerated Combustion Simulations of Hydrogen-Air Flames in the Hylon Swirled Injector in OpenFOAM Index [752 Pages, Hardcover]

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AI-Powered Content Delivery Networks

Chatterjee, Tanusree / Banerjee, Rajib / Ganguli, Souvik (eds.) — 11 Jun 2026 08:17:12 +0200

[400 Pages, Hardcover]

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Kreativität in IT und Technik für Dummies

Herrmann, Andrea — 4 Jun 2026 08:17:16 +0200

Für Entwickler in der IT oder Ingenieurinnen ist das Lösen komplexer Probleme der spannendste Teil der Arbeit. Kreativität spielt hier eine entscheidende Rolle. Die Autorin systematisiert den kreativen Prozess und zeigt Ihnen Kreativ-Techniken, mit denen Sie effizient arbeiten. [416 Pages, Softcover]

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Edge Intelligence for 6G-Enabled Industrial Internet of Things

4 Jun 2026 08:17:15 +0200

[448 Pages, Hardcover]

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Blockchain Success Stories

Verma, Jyoti / Malik, Reena — 4 Jun 2026 08:17:14 +0200

[368 Pages, Hardcover]

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Programmieren lernen in 15 Minuten am Tag für Dummies

Rose, Thomas — 4 Jun 2026 08:17:12 +0200

Programmieren Sie Ihr eigenes Computerspiel! Nur 15 Minuten pro Tag - und nach drei Monaten steuern Sie eine Rakete durchs Weltall. Lernen Sie die Grundlagen der Programmierung auf unterhaltsame und einprägsame Weise. [272 Pages, Softcover]

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Model-Driven Power System Automation

deSiqueira, Iony Patriota — 3 Jun 2026 08:17:13 +0200

Engineer, validate, and secure IEC 61850-based protection, automation, and systems Model-Driven Power System Automation describes formal methods for specifying, designing, commissioning, and maintaining automation systems, including digital substations, hydro power plants, wind farms, and distributed energy resources. The book introduces foundational concepts on IEC 61850 and its various models, including substation, product, type, and service; details automation evolution with IEC 61850 capabilities and distributed systems as they apply to remote access systems, client-server systems, and peer-to-peer systems; models various applications with IEC 61850, touching on its abilities in cybersecurity, GOOSE models and system architecture; and applies IEC 61850 as a key catalyst for green energy resources, modeling its importance in hydro power, wind power, and distributed energy resources. Model-Driven Power System Automation discusses: * Communication models, covering communication and real-time requirements, abstract and specific interfaces, and mapping to MMS, CORBA, and Ethernet * Functional models, covering logical and generic logical nodes, logical devices, proxies and gateways, intelligent electronic devices, and networks * Data models, covering data modeling and hierarchy, primitive elements, namespaces, common data classes, and functional constraints * Engineering and configuration models, covering extensible markup language, Substation Configuration Language, and substation, product, and communication models * Challenges in lifecycle management, international standards and best practices Model-Driven Power System Automation is an excellent reference for electrical and power system engineers, developers, systems architects, and engineering graduates who are working with digital grid technologies and seeking to support modern requirements and integrate renewable energy sources. [528 Pages, Hardcover]

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Ontological Prisms

Fannader, Remy — 3 Jun 2026 08:17:12 +0200

The expansion of generative AI has highlighted the limitations of purely neural approaches and the benefits of coupling them with symbolic counterparts epitomized by ontologies. While knowledge graphs emerge as the jack of all trades among agents dealing with language, knowledge, and orchestration, there is little consensus on the sources and roles of ontologies, in other words, knowledge. The book introduces ontological prisms, a game-changing paradigm that unfolds the geometry of knowledge into a triptych of observed worlds (facts), meanings (concepts), and shared representations (categories). This approach entails three major breakthroughs with regard to: * Interoperability: by establishing a principled and actionable distinction between communication (language) and representation (knowledge), ontological prisms provide a blueprint for semantic and conceptual layers set across heterogeneous representations. * Abstraction levels: leveraging its three-pronged paradigm, ontological prisms untangle the abstraction conundrum between upper (or foundational) and lower (or domain-specific) level ontologies. This allows for a smooth, declarative integration of ontological abstractions without imposing unwieldy inheritance hierarchies. * Temporality: the epistemic distinction between worlds (facts), intents (concepts), and representations (categories), combined with differentiated abstraction semantics, enables diachronic knowledge management alongside concurrent engineering processes, regardless of domain overlaps and misaligned life cycles. These advances allow for a seamless integration of knowledge engineering between agentic and enterprise systems: facts, categories, and concepts for the former, mapped to data, information, and knowledge for the latter, respectively. That knowledge-driven integration of cognitive and systems capabilities paves the way to a holistic approach to collective learning weaving together individuals, organizations, and systems. The book is organized into three parts: principles, foundations, and architecture; cognitive functions: language, reasoning, and judgment; and systems and knowledge engineering. The third part introduces the KEOPS (Knowledge Engineering with Ontological Prisms) methodology, accompanied by a kernel developed with OWL/Protégé. This organization allows for differentiated readings for graduates, engineers, and consultants, ensuring a comprehensive understanding of agentic cognition, knowledge engineering and ontology development, as well as business intelligence and decision-making systems. [352 Pages, Hardcover]

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Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation

3 Jun 2026 08:17:11 +0200

Exploration of how cutting-edge digital technologies can power humanity's collective efforts towards urban transport environmental sustainability Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation delves into the nexus between urbanization, transportation, and climate change, providing a comprehensive analysis of how traditional transportation systems contribute to greenhouse gas emissions and air pollution, thereby undermining our collective efforts towards environmental sustainability. Through lucid explanations and real-world examples, the book explores how cutting-edge digital technologies, including Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain, can revolutionize urban transportation. Readers will gain insights into the role of AI-powered platforms and management software solutions that optimize energy usage, enhance efficiency, and promote sustainable mobility. With contributions for a variety of experts in the fields of transportation, environmental science, and artificial intelligence, this book delivers perspectives on topics including: * Intelligent traffic management and the impact of computer vision in smart transportation * Connected lighting and AI-empowered battery management systems * Edge computing and edge AI for real-time insights * Route optimization and navigation, smart parking solutions, and fleet and fuel optimization * Implementation of smart microgrids and renewable energy sources such as solar and wind Whether you are a policymaker, urban planner, transportation professional, or simply a concerned citizen, Artificial Intelligence (AI) for Smart and Sustainable Urban Transportation serves as a vital resource for understanding the challenges and opportunities in transitioning towards a more sustainable future in the field of urban transportation. [464 Pages, Hardcover]

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Cybersecurity Implications in Blockchain Architecture

Tasdighi, Anahita — 3 Jun 2026 08:17:09 +0200

Explore the full scope of blockchain technology and its relationship with cybersecurity Cybersecurity Implications in Blockchain Architecture delves into the transformative power of blockchain technology and its intricate relationship with cybersecurity, providing readers with a comprehensive guide that explores essential topics such as the foundational principles of blockchain and the critical role of cryptography. The book highlights opportunities and risks associated with smart contracts while providing hands-on exercises and group discussions to equip readers with practical skills. Programming examples and solutions of real problems are presented through use cases and simulations. Later chapters emphasize security implications, offering insights and strategies for mitigating risks unique to blockchain, and discuss future trends along with their potential impact on cybersecurity. The book also includes information on: * Threat detection and response, data integrity and privacy solutions, and incident response automation * Blockchain security protocols and immutable audit trails for compliance * Secure data transmission and storage and digital signatures for authentication * Compliance frameworks leveraging blockchain technology and data privacy regulations and their impact on blockchain solutions * Emerging technologies and innovative projects impacting blockchain security Bridging the gap between two dynamic fields, Cybersecurity Implications in Blockchain Architecture empowers professionals to navigate the evolving landscape of digital security and harness the full potential of blockchain technology. [512 Pages, Hardcover]

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Cyber Defense

Tasdighi, Anahita — 3 Jun 2026 08:17:08 +0200

Equips cybersecurity professionals with advanced strategies to anticipate, mitigate, and respond to evolving digital threats In Cyber Defense: Advanced Strategies and Techniques to Stay Ahead of the Cyber Threats Curve, acclaimed cybersecurity expert Dr. Anahita Tasdighi delivers an in-depth, strategic guide to the shifting terrain of cyber defense. In an era defined by digital acceleration and increasing vulnerabilities, this invaluable resource provides the insights and tools required to identify, anticipate, and counter a broad spectrum of cyber threats--ranging from ransomware and phishing to insider attacks and the challenges of a remote workforce Dr. Tasdighi's approach is grounded in practicality and ethics, offering guidance on how to implement cybersecurity measures that are not only effective but also responsible and sustainable. Through a unique blend of theory, case-based learning, and experiential exercises, the book empowers readers to critically examine their existing frameworks and strengthen their organization's cyber posture. Each chapter combines real-world case examples with simulation activities, technical coding labs, and collaborative workshops designed to foster applied understanding and skill development. Bridging the gap between high-level strategic thinking and hands-on application, this text: * Integrates technical cybersecurity strategies with broader organizational risk management principles * Features practical coding exercises tailored to a wide range of security challenges * Offers a step-by-step approach to threat modeling and risk assessment frameworks * Includes curated resources for continuous professional development, such as book lists, reports, and podcasts Cyber Defense: Advanced Strategies and Techniques to Stay Ahead of the Cyber Threats Curve is essential reading for working professionals such as CISOs, cybersecurity architects, and threat intelligence analysts seeking to enhance their strategic and practical capabilities. It is also ideal for advanced undergraduate and graduate students in cybersecurity courses such as cybersecurity management, incident response strategy, and advanced threat analysis, as part of IT, computer science, and cybersecurity degrees. [688 Pages, Hardcover]

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Applied Math with Python

Rayfield, Blake — 2 Jun 2026 08:17:14 +0200

A step-by-step guide for using Python to transform abstract mathematical concepts into effective, on-the-ground scripts that solve real-world business problems Applied Math with Python: Solve Real-World Problems with Python-Based Solutions is a detailed, step-by-step guide for business professionals, analysts, and data scientists interested in using Python to perform crucial organizational tasks: optimizing inefficient supply chains, calculating probabilities, forecasting financial performance, mining customer data for new insights, and more. Author, researcher, and Assistant Professor of Finance at the University of North Florida, Blake Rayfield uses practical examples and hands-on exercises to explain how to combine concepts from optimization, probability, statistics, and other branches of mathematics with the Python language to solve difficult, common business problems. You'll discover how marketing managers can use Python to create useful customer segments, how to model revenue growth, and how to allocate limited resources in a product launch or expansion. Inside the book: * Modular, plug-and-play strategies for solving hard problems in Python in situations where a spreadsheet is inadequate * Instructions for building effective, scalable Python scripts incorporating many of the most powerful Python libraries, including pandas, NumPy, matplotlib, seaborn, scikit-learn, and Plotly * Start-to-finish coverage for business professionals - from building a Python scripting environment on your local computer or in a cloud environment to designing, writing, testing, and running a functional script Perfect for entrepreneurs, analysts, managers, and professionals working in AI, data science, and finance, Applied Math with Python is an expert guide for transforming abstract mathematical concepts into useful, repeatable, scalable solutions you can put to work immediately in your team and in your organization. [288 Pages, Softcover]

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Composite Artificial Intelligence

1 Jun 2026 08:17:15 +0200

[400 Pages, Hardcover]

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Quantum Machine Learning

Krishnan, R. Bala / Kumar, N. Rajesh / V., Subramaniyaswamy (eds.) — 27 May 2026 08:17:12 +0200

[640 Pages, Hardcover]

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Smart Wearables for Digital Medicine

Mishra, Sushruta / Das, Subhashish / Balamurugan, S. (eds.) — 27 May 2026 08:17:07 +0200

[416 Pages, Hardcover]

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