AI-Enhanced ELT: Innovative Strategies to Transform Your Classroom by Samaneh Eslamdoost
English | March 4th, 2026 | ISBN: 1953745547 | 228 pages | True EPUB | 2.89 MB
AI-Enhanced ELT: Innovative Strategies to Transform Your Classroom is the essential guide to understanding and implementing AI in language education.

AI-Enabled Learning for Climate Action: Building Skills, Capacity and Collective Intelligence for a Warming World
English | 2026 | ISBN: 1041040237 | 301 pages | True PDF,EPUB | 13.84 MB
AI-Enabled Learning for Climate Actionbrings together scholars, practitioners, policymakers, and innovators to examine how digital learning systems, data platforms, and emerging technologies, including artificial intelligence, digital twins, and immersive tools, can accelerate climate literacy, support green skills and jobs, strengthen institutional decision-making, and enable collective action. The volume advances the editor's overarching framework that learning is a foundational pillar of climate resilience and sustainable development. Rather than treating digital learning as a delivery mechanism alone, the contributors demonstrate how learning systems function as critical climate infrastructure by building the human and institutional capacities needed for adaptation, mitigation, and long-term resilience.The chapters span global, regional, and local contexts, with examples from low-, middle-, and high-income countries. They explore how AI-enabled and digital learning approaches can enhance climate awareness and behavior change; equip youth and professionals with future-ready and green skills; support evidence-based policymaking; and enable experiential, problem-based learning grounded in real-world data. Contributors also examine how technology-enabled learning can advance climate justice, strengthen governance, and promote transparency, public participation, and accountability.Blending conceptual frameworks with applied case studies, this volume offers both the what and the how of designing inclusive, scalable, and action-oriented climate learning ecosystems. It is intended for educators, policymakers, development practitioners, and institutions seeking practical guidance on how AI-enabled learning can help bridge the gap between climate knowledge, skills for the future of work, and meaningful action.

AI-Driven Spatial Computing: Concepts, Challenges, and Use Cases
English | 2026 | ISBN: B0HLQVQG2K | 412 pages | PDF | 8.40 MB
Discover how the fusion of real-time adaptive AI and spatial computing is redefining Industry 5.0, giving you the exact technical frameworks and actionable strategies needed to lead the next era of human-machine innovation.Industries are increasingly leveraging automation and cutting-edge innovations to streamline operations and meet evolving demands. Today, Industry 5.0 emphasizes collaboration between humans and machines, enabling greater creativity, customization, and innovation. This volume explores a significant advancement in artificial intelligence: adaptive, AI-driven systems capable of learning and evolving in real time. Unlike traditional AI, which relies on static data and predefined models, adaptive AI responds dynamically to changing conditions, making it especially valuable in complex, unpredictable environments. This book explores the transformative fusion of artificial intelligence with spatial computing technologies, providing a comprehensive understanding of how intelligent systems interpret, interact with, and simulate physical environments. It presents a cohesive framework that demonstrates how AI augments spatial awareness and decision-making in complex, dynamic settings, delving into critical technical and ethical issues that arise from integrating AI into spatial systems. These include concerns about data privacy and surveillance, algorithmic bias in location-based services, the computational complexity of real-time 3D perception, and the lack of standardized platforms for interoperability across spatial devices. The text also examines infrastructure constraints such as bandwidth limitations, latency in edge processing, and the security vulnerabilities of AI-driven spatial networks. Each case study illustrates the tangible benefits of spatial intelligence, providing readers with actionable insights into emerging opportunities and strategic implementations in this rapidly evolving field.Readers will find the volume:Serves as a pioneering resource at the intersection of artificial intelligence and spatial technologies;Provides a timely synthesis of how AI techniques can enhance spatial awareness, decision-making, and interactivity in physical and virtual environments;Contributes to the maturation of spatial computing as an AI-augmented field, bringing together geoinformatics, robotics, and data science;Emphasizes technological integration and methodological and ethical frameworks needed for sustainable innovation.AudienceEngineers, research scholars and students, IT professionals, network administrators, artificial intelligence and deep learning experts, and government research aagencies looking to the future AI applications.

AI-Driven Cloud Forensics
English | 2026 | ISBN: 1041107161 | 332 pages | True PDF,EPUB | 20.96 MB
Cloud computing has revolutionized digital infrastructure, but it has also introduced complex forensic challenges that demand intelligent, scalable, and automated investigative solutions. AI-Driven Cloud Forensics: Advanced Techniques for Next-Generation Digital Investigations provides a comprehensive exploration of how artificial intelligence, machine learning, big data analytics, and automation are transforming the future of digital forensics in cloud environments.

AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management
English | 2026 | ISBN: 1041222904 | 309 pages | True PDF,EPUB | 10.94 MB
AI, Machine Learning, and Blockchain for Next-Generation Spectrum Managementpresents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure.Key FeaturesUniquely synthesizes AI, ML, and blockchain for intelligent spectrum governanceCovers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networksComprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standardsGlobally integrates perspectives from academia, industry, and policy institutions.

AI in Health: A Guide to Winning in the New Age of Intelligent Health, 2nd Edition
English | 2026 | ISBN: 1041343736 | 284 pages | True PDF,EPUB | 25.78 MB
Healthcare is being pushed to its limits. Workforce shortages are growing. Clinician burnout is accelerating. Consumers are demanding a radically different experience. And artificial intelligence (AI) is no longer a future concept―it is rapidly becoming the foundation of a new kind of healthcare system.In this bold and timely second edition ofAI in Health, internationally recognized AI advisor and former Microsoft health executive Tom Lawry presents a compelling operating guide for leaders navigating the rise of Intelligent Health Systems―organizations that use AI, data, and connected technologies to deliver more proactive, personalized, efficient, and human-centered care.At its core, this book makes a powerful argument: done right, AI is not about replacing people. It is about empowering them. Empowering clinicians with more time to care. Empowering leaders with better intelligence and decision-making. Empowering patients and consumers with greater access, insight, and control over their health.Blending powerful storytelling, practical insight, and real-world examples from across healthcare, pharma, and technology,AI in Healthshows leaders how to move beyond experimentation and begin building the next generation of healthcare organizations.Urgent, visionary, and deeply practical, this is essential reading for anyone determined to help shape the future of healthcare.

AI in Emergency Medicine: What All Healthcare Professionals Can Learn from the Artificial Intelligence Revolution by Harvey Castro
English | October 19th, 2026 | ISBN: 1394385099 | 384 pages | True EPUB | 2.41 MB
A cutting-edge exploration of the AI-powered transformation of emergency medicine and healthcare

AI for Indie Fashion: Outsmarting Trends on a Budget: Your Practical Guide to Leveraging AI for Forecasting, Design, and Sustainable Growth for Small Brands (Fashion Metaverse) by Sangita Gupta
English | May 25, 2026 | ASIN: B0GZKXMM23 | 182 pages | EPUB | 16.31 Mb
The future of fashion is no longer reserved for big brands with massive budgets. AI for Indie Fashion: Outsmarting Trends on a Budget is your practical roadmap to using Artificial Intelligence to forecast trends, spark creative ideas, streamline operations, and grow a smarter, more sustainable fashion business.

AI for Healthcare: The Essential Guide to Understanding the AI Revolution in Healthcare
English | 2026 | ISBN: 1041348592 | 265 pages | True PDF,EPUB | 14.20 MB
AI for Healthcareprovides a comprehensive, evidence-based guide to how artificial intelligence is transforming medicine. Structured in three parts, the book first demystifies core technologies (machine learning, deep learning, large language models, and AI agents) through concrete clinical examples.It then examines real-world applications already deployed in hospitals worldwide, including diagnostic imaging, predictive medicine, connected health, digital mental health therapies, AI powered disability assistance, and hospital operations optimization.The final part addresses the conditions for responsible implementation, including ethics, trustbuilding, cybersecurity, and regulatory frameworks. Each chapter is enriched with exclusive interviews featuring physician-researchers and technology leaders from institutions such as Stanford, Harvard, and MIT, as well as operational case studies from innovative technology companies and clinics.The book bridges the gap between technical possibility and clinical reality. It is written for healthcare professionals, hospital decision-makers, health technology leaders, researchers, and policymakers who need to understand, evaluate, and act on AI within their organizations. Readers will gain a clear, jargon-free understanding of what AI can and cannot do today, the critical questions to ask before any deployment, and a practical framework for successfully implementing AI while keeping patients at the center.

AI for Beginners: A Guide to ChatGPT and AI Tools: A Practical Guide to Understanding AI, Creating Content, Building Online Businesses, and Learning to Earn Responsibly
English | October 17, 2026 | ASIN: B0HNF1PR8M | 162 Pages | Epub | 296.64 KB