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Gesamtkatalog

Catalogue complet

Self-Learning AI in Healthcare

Agentic Systems for Smarter Medicine

1. The Rise of Self-Learning AI in Healthcare: A New Era of Intelligent Medicine 2. Neural Networks and Deep Learning for Self-Adaptive Medical Systems 3. Unsupervised and Semi-Supervised Learning for Medical Data Analysis 4. Reinforcement Learning for Autonomous Decision-Making in Healthcare 5. Edge AI and On-Device Learning for Decentralized Healthcare Systems 6. Personalized Medicine with Self-Learning AI for Treatment Optimization 7. Hospital Workflow Optimization with Self-Learning AI 8. Self-Learning Powered Remote Patient Monitoring and Real-Time Adaptation 9. Self-Learning AI for Early Disease Detection and Preventive Medicine 10. Federated Learning for Privacy-Preserving Self-Learning AI in Healthcare 11. AI-Driven Personalized Rehabilitation and Adaptive Therapy 12. Self-Learning AI for Drug Discovery and Development Acceleration 13. Self-Improving AI for Mental Health Support and Cognitive Therapy 14. Autonomous AI for Personalized Treatment Plans 15. Adaptive AI in Radiology: Real-Time Image Interpretation and Diagnosis 16. Digital Twins in Healthcare: Self-Learning AI for Predictive and Preventive Medicine 17. Self-Learning AI for Medical Robotics: Towards Autonomous Surgical and Assistive Systems 18. The Future of Self-Learning AI in Healthcare: Challenges, Ethics, and Regulatory Considerations

Gain cutting-edge skills in building a full-stack web application with AI assistance. This book will guide you in creating your own travel application using React and Node.js, with MongoDB as the database, while emphasizing the use of Gen AI platforms like Perplexity.ai and Claude for quicker development and more accurate debugging.


The book's step-by-step approach will help you bridge the gap between traditional web development methods and modern AI-assisted techniques, making it both accessible and insightful. It provides valuable lessons on professional web application development practices. By focusing on a practical example, the book offers hands-on experience that mirrors real-world scenarios, equipping you with relevant and in-demand skills that can be easily transferred to other projects.


The book emphasizes the principles of responsive design, teaching you how to create web applications that adapt seamlessly to different screen sizes and devices. This includes using fluid grids, media queries, and optimizing layouts for usability across various platforms. You will also learn how to design, manage, and query databases using MongoDB, ensuring you can effectively handle data storage and retrieval in your applications. Most significantly, the book will introduce you to generative AI tools and prompt engineering techniques that can accelerate coding and debugging processes. This modern approach will streamline development workflows and enhance productivity.


By the end of this book, you will not only have learned how to create a complete web application from backend to frontend, along with database management, but you will also have gained invaluable associated skills such as using IDEs, version control, and deploying applications efficiently and effectively with AI.


What You Will Learn


 How to build a full-stack web application from scratch

 How to use generative AI tools to enhance coding efficiency and streamline the development process

 How to create user-friendly interfaces that enhance the overall experience of your web applications

 How to design, manage, and query databases using MongoDB





Who This Book Is For


Frontend developers, backend developers, and full-stack developers.

AI Empowered Accelerated Coding

Generative AI for Full-Stack Development

Willkommen in der Zukunft der Künstlichen Intelligenz, in der „AI First“ das neue „Digital First“ ist und „AI Native“&nbsp;zu einer greifbaren Strategie für Unternehmen wird. AI Native beschreibt eine neue Generation von Unternehmen, in denen Künstliche Intelligenz nicht nur unterstützend wirkt, sondern eine zentrale Funktion einnimmt, sodass sie mit minimalem menschlichen Eingriff skalieren, Entscheidungen treffen und wachsen können.Dieses Buch erklärt, warum nicht jedes Unternehmen AI Native werden kann, wie jedoch alle von einer ganzheitlichen KI-Strategie im Sinne von AI First profitieren können. Aber wie finden Unternehmen den richtigen Weg? Tristan Post zeigt auf, wo die tatsächlichen Chancen für eine nachhaltige Transformation liegen und warnt vor möglichen Irrwegen.Er bietet einen klaren, praxisorientierten Fahrplan, der Ihnen hilft, eine KI-Vision zu entwickeln, relevante Anwendungsfälle zu identifizieren und tiefgreifende Veränderungen in Ihrer Organisation zu gestalten.Ob Sie ein etabliertes Traditionsunternehmen oder ein digitaler Vorreiter sind - dieses Buch zeigt Ihnen Schritt für Schritt, wie Sie KI strategisch einsetzen, mutig handeln&nbsp;und Ihre Organisation fit für die Zukunft machen.Über den AutorTristan Post
 ist AI-Stratege und Dozent mit Fokus auf die Entwicklung von KI-Lösungen für Start-ups und Unternehmen.
Er bietet Workshops zu Themen wie KI-Strategie und Projektmanagement an und berät Organisationen. Zudem engagiert er sich als Start-up-Berater und Investor und hat mit Institutionen wie dem GovTech Campus und Bitkom zusammengearbeitet.

Das Managementbuch für das KI-Zeitalter

AI Native

C.H.BECK Wissen

Fakten, Chancen, Risiken

Künstliche Intelligenz

De Gruyter Proceedings in Mathematics

The monograph represents peer-reviewed original studies that make significant contributions to various branches of Computational Mathematics and Engineering. Each chapter highlights current trends in its respective research field and offers valuable insights, innovative methodologies, and recent advances in theories and computational applications. Key topics include artificial neural networks, data sciences, fuzzy set theory, numerical optimization techniques, soft computing, computational fluid dynamics and mathematical modelling. Additionally, several AI and machine learning algorithms are included, showcasing noteworthy computational results. This monograph features mathematical content validated by simulation results, enhancing the significance of the book. It serves as a valuable resource for both early-career and experienced researchers tackling complex real-world problems, such as addressing COVID-19 dynamics and solving transportation issues in engineering designs that traditional methods fail to resolve.

Proceedings of ICCMA 2025

Computational Mathematics in Engineering

A town spoke. Something larger answered.

In September 2025, a township board in rural Michigan voted to reject a data center. Two days later, the developer sued. Within three weeks, the project was approved anyway.

THIS IS SERVER COUNTRY tells-through vivid narrative and clear-eyed analysis-the story of America's largest private infrastructure buildout. A trillion dollars. Six hundred projects. A power grid racing to keep up.

This book follows the people caught in the buildout, explains how the machines actually work, and asks why farmland instead of shuttered factories. It traces the current backward from silicon in Taiwan to sandy loam in Saline-and reveals who builds, who benefits, and who pays, where local zoning meets great-power politics.

The book covers: How AI inference works and why it demands unprecedented compute power. 
Why data centers choose farmland, not cities. 
The trillion-dollar capital wave reshaping American infrastructure. 
State incentive wars and community resistance. 
The nuclear renaissance and natural gas reality.
Export controls and the geopolitics of AI.



The railroads opened the West. The interstates created the suburbs. The AI boom follows the same pattern, at faster speed-but to what end, we know not yet.

AI, Power, and the Remaking of Rural America

This Is Server Country

Cambridge Law Handbooks

The Cambridge Handbook of AI in Civil Dispute Resolution&nbsp;is the first global, in-depth exploration of how artificial intelligence is transforming civil justice. Moving past speculation, it showcases real-world applications-from predictive analytics in Brazil's courts to generative AI in the Dutch legal system and China's AI-driven Internet Courts. Leading scholars and practitioners examine the legal, ethical, and regulatory challenges, including the EU AI Act and emerging governance frameworks. With rich case studies and comparative insights, the book explores AI's impact on access to justice, procedural fairness, and the evolving public-private balance. Essential reading for legal academics, policymakers, technologists, and dispute resolution professionals, it offers a critical lens on AI's promise-and its limits-in reshaping civil dispute resolution worldwide.

The Cambridge Handbook of AI in Civil Dispute Resolution

How Technology Transforms Jobs, Markets, Life, & Our Future

AI Economics

Building Resilience and Preventing Catastrophes

Integrating AI for Sustainable Disaster Management

Preface.- Chapter 1: A World in Transition.- Chapter 2: The Luddite Complex and the Psychology of Resistance.- Chapter 3: Man and the Machine – The Human-Machine Relationship.- Chapter 4: Technological Progress Driving Social Progress.- Chapter 5: Education in the Supply Chain – Systemic Overhaul.- Chapter 6: The Rise of the Knowledge Worker 3.0.- Chapter 7: Organizing Principles – From Hierarchies to Networks.- Chapter 8: Social Policy and Economic Equity.- Chapter 9: Conscious Capitalism and the Modern Social Contract.- Chapter 10: Sector Deep Dive – Logistics, Trucking, and the Automation Paradox.- Chapter 11: Strategy Map 2.0 – A 21st Century Vision for Human Capital.- Conclusion – Designing the Human Future.

Workforce Transformation, Strategy, and the Future of Work

Human Capital Supply Chain in the Age of AI

BestMasters

Diese Arbeit befasst sich mit Kundenrezensionen in der Telekommunikationsbranche, wobei moderne Machine Learning Methoden im Bereich Sentiment Analysis und Explainable AI angewendet werden.

Hierbei wird als empirische Studie eine große Mengen an Textdaten aus Online-Bewertungen ausgewertet, um Erkenntnisse über emotionale Tendenzen, wiederkehrende Themenschwerpunkte und Einflussfaktoren auf die Kundenzufriedenheit zu gewinnen. Durch die Einbeziehung von Explainable AI wird eine transparente und nachvollziehbare Interpretation der Ergebnisse möglich. Der entwickelte KI-Ansatz dient als Grundlage für datenbasierte Entscheidungsprozesse und weist durch seine flexible Architektur ein hohes Übertragungspotenzial auf unterschiedliche Branchen auf.

Eine empirische Studie mit dem Einsatz von Sentiment Analysis und Explainable AI

Analyse von Kundenrezensionen in der Telekommunikationsbranche

Cut through the hype. Master the basics. Transform your work

How to AI

HIMSS Book Series

A powerful transformation is underway in global healthcare. From artificial intelligence and big data to quantum computing and precision medicine, cutting-edge technologies are revolutionizing how we predict, diagnose, and treat disease. This book offers a compelling look into how digital innovation is reshaping the future of healthcare delivery, medical research, and patient engagement.The Future of Healthcare: Technology, AI, and Innovation brings together expert perspectives across academia, industry, and clinical practice to explore the intersection of emerging technologies and human health. Organized into five thematic segments, the book addresses foundational shifts in modern healthcare, the rise of data-driven systems, the evolution of digital infrastructure, the importance of ethical and equitable innovation, and strategic approaches to global health transformation.Through real-world case studies, actionable insights, and forward-looking analysis, readers will gain a comprehensive understanding of the tools and trends shaping tomorrow's healthcare systems. Whether you are a healthcare professional, technologist, researcher, policymaker, or student, this book is an essential guide to navigating and leading in the age of intelligent, connected, and personalized medicine.Prepare to explore the possibilities, challenges, and transformative potential of technology in creating a healthier and more equitable world.

Technology, AI, and Innovation

The Future of Healthcare

Self-Learning AI in Healthcare

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