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Bartneck C: Ethik in KI und Robotik

Ethik in KI und Robotik

In an era of escalating energy demands and environmental challenges, mastering the complexities of renewable power systems is essential. This open access book delivers a cutting-edge exploration of innovative modeling and control techniques tailored for the unique characteristics of renewable power systems. Designed for engineers, researchers, and sustainability advocates, this book addresses critical issues such as low inertia and high variability, offering a roadmap to ensure safe, stable, and efficient operation. This comprehensive guide introduces the fully actuated system approach, a groundbreaking method that redefines how we tackle the nonlinear dynamics inherent in renewable power systems. By presenting experimentally validated solutions on hardware microgrids, the book bridges the gap between theory and practice, making it an indispensable resource for professionals aiming to enhance system reliability and control efficiency. Key topics include predictive control for DC and AC systems, learning-based optimization, and resilience strategies against cyber threats, with advanced applications like blockchain integration for secure operations. Readers will gain actionable insights into modern control strategies, rigorous modeling techniques, and emerging technologies shaping the future of renewable power systems. Whether you’re developing advanced control technologies or navigating the challenges of modern power systems, this book equips you with the knowledge and tools to lead in the renewable energy revolution.

A Fully Actuated System Approach

Control of Renewable Power Systems

This open access book presents a pioneering methodology for dynamic system control, offering a mathematically rigorous and practically effective alternative to conventional state-space models, given that the study of nonlinear control of complex multi-input multi-output (MIMO) systems has faced significant challenges.&nbsp;
Authored by the&nbsp;proposer of the Fully Actuated System (FAS) approach, this book volumes systematically establish a new paradigm for the analysis and design of dynamical control systems. Unlike traditional state-space methods—where control vectors cannot be explicitly solved—the FAS approach provides a model in which control vectors can be fully or partially determined, significantly enhancing control precision and system performance. Since its introduction, the FAS methodology has attracted substantial attention within the global control community and has demonstrated superior capabilities in managing nonlinear control problems.
Key Contributions:

A novel theoretical framework&nbsp;that advances nonlinear feedback control, addressing long-standing unresolved issues.
A structured, multi-volume exposition, covering&nbsp;Global FAS, Sub-FAS, and Unidirectionally Connected FAS, each building on the preceding concepts.
Comprehensive theoretical foundations&nbsp;with rigorous derivations, controller design methodologies, and practical implementation strategies.
Broad applicability, providing researchers with a robust analytical toolset and equipping control engineers with advanced techniques for real-world system development.

This work constitutes a&nbsp;seminal reference&nbsp;for scholars in control theory, nonlinear systems, and applied engineering, offering both a foundational introduction and an advanced framework for research and industrial application.

Volume I. Global Fully Actuated Systems

Fully Actuated System Approach

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

Der Band zeigt auf, wie Kunst über alle Sinne wirkt: multisensorische Wahrnehmung prägt das Kunsterleben und wird durch Medien und Technologien erweitert. Im Fokus stehen multisensorische Kunstformen von der Bauhausästhetik über Performance- und Medienkunst bis hin zu immersiven Künstlergärten. Zugleich werden digitale Technologien der Kulturvermittlung wie Multimedia-Guides, Augmented Reality und Serious Games vorgestellt. Verankert in der Theorie der Embodied Cognition und gestützt durch empirische Methoden eröffnet das Buch neue Perspektiven für Forschung, Kunstpraxis und Kunstvermittlung.Die ZielgruppenDer Band richtet sich an Kunstschaffende, Forschende und sowie Interessierte aus Kunstvermittlung und kultureller Bildung.Die AutorinProf.in(FH) Dr.in Sibylle Moser ist Leiterin des European Center for Culture &amp; Creativity an der University of Applied Sciences St. Pölten (USTP), Austria.&nbsp;

Theorie, Empirie und Praxis

Multisensorische Kunsterlebnisse

This book&nbsp;is about words that fool us into thinking that the digital technologies we use every day are beautiful, benign, and consequence-free. The collection shows how metaphors used by Big Tech to promote digital technologies are reductive or misleading. With a commitment to social justice, the contributors rename digital technologies in order to subvert Big Tech’s branding. Each chapter discusses a specific technology, rechristening it in a way that points explicitly to the social and political harms it is associated with. The alternative vocabularies that are proposed draw attention to what these technologies bring about, providing a means of resisting Silicon Valley’s claims about what people and organisations should buy and experience.Robin Mansell&nbsp;(FAcSS, FBA) is Professor Emerita, London School of Economics and Political Science. She holds a Doctorate Honoris Causa, University of Fribourg and is recipient of the&nbsp;C. Edwin Baker Award (ICA Philosophy, Theory &amp; Critique Division). Co-editor,&nbsp;Handbook of Media and Communication Governance&nbsp;(2024 Edward Elgar).Crystal Chokshi&nbsp;is an Assistant Professor in the School of Communication Studies at Mount Royal University in Calgary, Alberta. She has published critical perspectives on technologies in&nbsp;The Journal of Digital Social Research,&nbsp;Surveillance &amp; Society,&nbsp;Culture Machine,&nbsp;Real Life, and&nbsp;The Conversation Canada.&nbsp;&nbsp;

The Need to Rename Tech

AI-Driven Cyber Attacks

Advances in Cyber Security

De Gruyter Studium

Algorithmen und Datenstrukturen

edition suhrkamp

Mit Programmen wie ChatGPT hat künstliche Intelligenz ein solches Niveau erreicht, dass es kaum noch möglich ist, zu erkennen, ob ein Text von einem Computer stammt oder von einem Menschen. 
 Können Sie mit Bestimmtheit ausschließen, dass diese Zeilen von einem Algorithmus verfasst wurden?
 
 
 
 Für die Rezeption von Geschriebenem bedeutet das eine Zeitenwende. Wenn wir stets unterstellen müssen, dass hinter einem Text KI steckt, ergibt die Unterscheidung natürlich/artifiziell keinen Sinn mehr - eine postartifizielle Ära bricht an. Hannes Bajohr erörtert, wie sich diese Verschiebung auf Zeitungsartikel oder wissenschaftliche Publikationen auswirkt und wie sie das literarische Lesen und Schreiben verändert.

Lesen im Zeitalter künstlicher Intelligenz

Postartifizielle Literatur

Generative AI (Gen AI) represents a transformational technological shift by enabling the rapid creation of text, images, audio, and video through learning from vast amounts of human-generated data. Unlike traditional programming that relies on explicit instructions, Gen AI leverages machine learning to recognize patterns and generate content autonomously.SAP has embraced this revolution with its SAP BTP Generative AI Hub—a comprehensive platform designed to safely integrate generative AI and large language models into enterprise applications, with seamless support across its product suite including S/4 HANA, CRM, and HXM.This book provides a complete roadmap for understanding and applying these groundbreaking technologies. It begins by exploring the origins and core concepts of AI, deep learning, and transformer architectures, before delving into SAP’s AI Core and Generative AI Hub offerings. Through detailed, step-by-step examples, readers will learn to build enterprise use cases and discover the potential of Agentic AI for addressing real-world business challenges, making this a must-read for professionals seeking to drive innovation and efficiency in their organizations.&nbsp;You Will:<ul><li>Gain a solid understanding of artificial intelligence, deep learning, and transformer architectures, and how these concepts power generative AI.</li><li>Dive into SAP’s innovative AI offerings, exploring how the SAP BTP Generative AI Hub integrates generative AI and large language models safely into enterprise applications.</li><li>Understand how SAP’s generative AI capabilities are embedded across its product suite including S/4 HANA, CRM, and HXM.</li></ul>&nbsp;

SAP BTP Business AI Foundation and the Future of Business Applications

Building an Intelligent Enterprise with SAP Business AI

Transactions on Computer Systems and Networks

This book explores the foundational concepts and architecture of the Internet of Vehicles (IoV), including data acquisition, communication, security, and privacy. It highlights the application and potential of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in enhancing IoV systems. The book is a valuable resource for those interested in emerging technologies as the book offers insights into the challenges and opportunities in IoV, with a focus on smart city integration. It discusses data analytics, security concerns, and protective measures, while also summarizing intelligent transport management systems and outlining future research directions. The book designed for researchers and professionals as it provides a comprehensive understanding of the IoV landscape and the transformative role of AI, ML, and DL technologies.

Scope and Application of Artificial Intelligence-Based Technologies

Internet of Vehicles

The field of Artificial Intelligence (AI) has rapidly transformed in recent years, with Machine Learning being now one of its most impactful and widely applied branches. From intelligent recommendation systems to self-driving cars, and from language translation to medical diagnosis, Machine Learning now touches nearly every aspect of modern life. Yet, for those beginning their journey into AI, the field can feel daunting—particularly with the increasing complexity of deep learning and generative models. In the midst of this fast-paced evolution, it is easy to overlook the foundational ideas that make these breakthroughs possible.This book is written to bridge this gap and was born from the belief that a solid understanding of classical machine learning is not just helpful, but essential for truly grasping the advanced and modern models shaping today’s AI landscape. The authors’ goal is to explain classical models clearly and intuitively, while also providing hands-on Python implementations that bring these models to life and offering, as such, a balanced practical approach.The authors cover a wide range of foundational topics, from linear regression and logistic regression to decision trees, ensemble methods, clustering, dimensionality reduction, neural networks, and convolutional operations. Emerging ideas like Cubixel representation in image processing are also presented, providing a forward-looking perspective on evolving practices. Each chapter builds on the last, combining theory, math, and code in a way that is accessible to students, researchers, and professionals alike.The book assumes a working knowledge of Linear Algebra and Calculus, as many algorithms rely on these mathematical underpinnings. A solid foundation in Python is also recommended, since practical examples and implementations are written in Python with widely used libraries such as NumPy, pandas, scikit-learn, and TensorFlow. Whether you’re an aspiring machine learning engineer, a data scientist transitioning from another field, or an academic looking to refresh your knowledge, this book aims to be a practical companion on your learning journey.

A Practical Guide Using Python

Classical Machine Learning

Technology and Applications

Non-Volatile Memory and Selector Devices

Ethik in KI und Robotik

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