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 Anonymous

Der Einsatz Künstlicher Intelligenz im Wissensmanagement

Handlungsempfehlungen zur Implementierung von Chatbots

Intelligent Control and Learning Systems

This book provides a new perspective on omics data modelling and analysis in bioinformatics area. Taking into consideration on the high-dimensionality and nonlinearity properties in omics data, the book detangles nonlinearity of data through novel perspectives of matrix optimization. Through integration of machine learning frameworks, various novel techniques are proposed to deal with the complexity of omics data analysis. Intuitive examples and illustrations are provided to help readers for understanding the key idea and general procedures in omics data analysis. This book is intended for academic scholars and practitioners who are interested in learning, computational biology, optimization and related fields. The graduate students in the above field can also benefit from this book.

Theory and Applications

Kernel Methods for Omics Data Mining

Der Online-Handel steht vor einer Revolution: E-Commerce wird zum KI-Commerce. Dieses Buch zeigt, wie KI den Handel neu definiert – von innovativen Shoppingoberflächen und -zugängen sowie personalisierten Einkaufserlebnissen über intelligente Plattformlösungen bis hin zu automatisierten Prozessen in Marketing und Supply Chain. Es beleuchtet die Plattformökonomie als Gewinner der digitalen Transformation und aktuelle Entwicklungen wie Agentic Commerce, KI-basierte Shoppingoberflächen. Praxisbeispiele aus Unternehmen wie u.a. Shein, Temu und TikTok Shop veranschaulichen neue KI-basierte Geschäftsmodelle und Technologien. Mit einem klaren Fokus auf die Verbindung von Theorie und Praxis bietet das Buch Strategien, Werkzeuge und Handlungsempfehlungen für Fach- und Führungskräfte, die den Wandel aktiv gestalten wollen. Denn KI ist kein Zusatz mehr, sondern der Kern des Erfolgs im digitalen Handel.

Der Online-Handel steht vor einer Revolution: E-Commerce wird zum KI-Commerce. Dieses Buch zeigt, wie KI den Handel neu definiert – von innovativen Shoppingoberflächen und -zugängen sowie personalisierten Einkaufserlebnissen über intelligente Plattformlösungen bis hin zu automatisierten Prozessen in Marketing und Supply Chain. Es beleuchtet die Plattformökonomie als Gewinner der digitalen Transformation und aktuelle Entwicklungen wie Agentic Commerce, KI-basierte Shoppingoberflächen. Praxisbeispiele aus Unternehmen wie u.a. Shein, Temu und TikTok Shop veranschaulichen neue KI-basierte Geschäftsmodelle und Technologien. Mit einem klaren Fokus auf die Verbindung von Theorie und Praxis bietet das Buch Strategien, Werkzeuge und Handlungsempfehlungen für Fach- und Führungskräfte, die den Wandel aktiv gestalten wollen. Denn KI ist kein Zusatz mehr, sondern der Kern des Erfolgs im digitalen Handel.

Intelligenter E-Commerce und KI-basierte Plattformlösungen im Online-Handel

Der neue KI-Commerce

Knowledge Management and Organizational Learning

This edited volume offers a comprehensive framework for understanding the role of artificial intelligence (AI) in knowledge management (KM), providing a new benchmark for scholarly discussion in the field. Through a collection of research papers, it explores the symbiotic relationship between AI and KM, supported by theoretical insights and empirical evidence. The book focuses on the concept of "artificial knowledge," contrasting it with "human knowledge" within modern organizations and management. By examining the differences between human and AI-processed knowledge, it presents a fresh perspective on AI's role in KM. This volume is essential reading for academics, researchers, and professionals in AI, KM, organizational studies, and management who seek to deepen their understanding of these evolving fields.

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This edited volume offers a comprehensive framework for understanding the role of artificial intelligence (AI) in knowledge management (KM), providing a new benchmark for scholarly discussion in the field. Through a collection of research papers, it explores the symbiotic relationship between AI and KM, supported by theoretical insights and empirical evidence. The book focuses on the concept of "artificial knowledge," contrasting it with "human knowledge" within modern organizations and management. By examining the differences between human and AI-processed knowledge, it presents a fresh perspective on AI’s role in KM. This volume is essential reading for academics, researchers, and professionals in AI, KM, organizational studies, and management who seek to deepen their understanding of these evolving fields.

New Horizons in AI-Supported Knowledge Management

Managing Human and Artificial Knowledge

The City Project

This book is based on the results of a meeting withing the framework of the SMART CITY 4.0 Sustainable LAB project in which the universities of Emilia-Romagna participate. It covers the topic of smart city regulation from a double perspective. On the one hand, it discusses rights in a smart city. Here, the book analyses the impact that urban transformation in a smart sense can have on constitutional rights, concerning, for example, social inclusion policies. It also discusses the topic of smart work, suggesting some innovative directions for the future. Further it suggests new ways to regulate the use and sharing of data and in general of technologies in smart cities to improve public services. The second part of the book deals with smart cities governance. It provides a fresh reflection on citizen participation and decision-making processes in the city of the future, analyzing some examples of digitalization and drawbacks in its availability throughout the national context (with a focus on the Italian situation). In turn, it discusses the fast evolution of the regulatory framework for automated driving in Europe, as an exemplary case study, offering some timely reflections on human safety. All in all, this book offers a comprehensive review of current questions concerning smart city regulation, merging different perspectives and providing both researchers and professionals with a source of inspiration for new research, developments, and interdisciplinary collaborations.

This book is based on the results of a meeting withing the framework of the SMART CITY 4.0 Sustainable LAB project in which the universities of Emilia-Romagna participate. It covers the topic of smart city regulation from a double perspective. On the one hand, it discusses rights in a smart city. Here, the book analyses the impact that urban transformation in a smart sense can have on constitutional rights, concerning, for example, social inclusion policies. It also discusses the topic of smart work, suggesting some innovative directions for the future. Further it suggests new ways to regulate the use and sharing of data and in general of technologies in smart cities to improve public services. The second part of the book deals with smart cities governance. It provides a fresh reflection on citizen participation and decision-making processes in the city of the future, analyzing some examples of digitalization and drawbacks in its availability throughout the national context (with a focus on the Italian situation). In turn, it discusses the fast evolution of the regulatory framework for automated driving in Europe, as an exemplary case study, offering some timely reflections on human safety. All in all, this book offers a comprehensive review of current questions concerning smart city regulation, merging different perspectives and providing both researchers and professionals with a source of inspiration for new research, developments, and interdisciplinary collaborations.

Law and Rights in the Smart City: The Challenge of Regulation

Schwabe reflexe

Technik und Künstliche Intelligenz unterstützen menschliches Handeln, indem sie es in vielem ergänzen, zum Teil überbieten, gegebenenfalls ersetzen. Äußerlich sind ihre Leistungen von menschlichen Produkten oft nicht unterscheidbar. Doch menschliches Denken und Verhalten unterscheidet sich grundsätzlich von mechanischen Operationen. Worin bleibt KI gegenüber originär menschlichen Vollzügen defizitär? Worin unterscheidet sich etwa der Text eines Übersetzungscomputers von dem eines Autors? Emil Angehrn zeigt in diesem Band, warum der Mensch in seinen Erlebnissen und Handlungen letztlich durch keine technische Apparatur und Leistung ersetzbar ist.

Der Mensch im Zeitalter der Künstlichen Intelligenz

Das unersetzbare Selbst

Palgrave Global Media Policy and Business

<div>This book presents a dialogue between two seemingly incompatible bodies of social theories - Critical Political Economy and Southern approaches - to the study of artificial intelligence (AI) technologies. In doing so, the book presents scholarly engagement with the ways in which AI is being experienced in sites in the Global South, with authors exploring questions of sociality, further entrenching of inequities along labour and caste lines, socio-legal&nbsp;ramifications of digital IDs, and undesired outcomes such as deepfakes and their integration in the political ecosystem, among others. These&nbsp;perspectives interrogate and provide scholarly vocabulary to understand the various applications of artificial intelligence (AI) in our professional, legal and media spaces.</div>
Preeti Raghunath is a Lecturer in Digital Media and Society at the University of Sheffield, UK. Over the past decade, she has traversed academic landscapes in India, Malaysia and the UK. Her research interests have broadly explored global communication, with a focus on policies, infrastructures and people. She conducted an expansive policy ethnography on community radio in South Asia, which was published as&nbsp;Community Radio Policies in South Asia: A Deliberative Policy Ecology Approach (Palgrave Macmillan, 2020). Her current theoretical and empirical research is on the global AI and data economy, especially as they play out in the Global South. Preeti has served as a research consultant with the United Nations University, Macau on projects on AI and its policies in Southeast Asia, and digital transformation and sustainability.

This book presents a dialogue between two seemingly incompatible bodies of social theories - Critical Political Economy and Southern approaches - to the study of artificial intelligence (AI) technologies. In doing so, the book presents scholarly engagement with the ways in which AI is being experienced in sites in the Global South, with authors exploring questions of sociality, further entrenching of inequities along labour and caste lines, 
 socio-legal&nbsp;ramifications
 of digital IDs, and undesired outcomes such as deepfakes and their integration in the political ecosystem, among others. These
 &nbsp;perspectives interrogate and provide scholarly vocabulary to understand the various applications of artificial intelligence (AI) in our professional, legal and media spaces.&nbsp;

A Dialogue

Critical Political Economy and Southern Approaches to AI

Palgrave Studies in Classical Liberalism

A Classical Liberal Approach

Artificial Intelligence

Forecasting and Preventing Economic and Social Crises

Understanding the Consequences of the AI Economy

Contributions to Economics

This book examines the revolutionary impact of artificial intelligence (AI) on communication and collaboration. In recent years, advances in large language models and deep learning have enabled seamless human communication across diverse languages and even with other species, such as dogs and humpback whales. AI is also unlocking the language of plants, including tomatoes and the 'wood wide web.'
The book explores how technologies in natural language processing, image recognition, audio analysis, and network analysis facilitate unprecedented fuzzy data analysis. This progress is crucial for promoting sustainability and addressing climate change by uncovering patterns in complex environmental data that inform sustainable practices and policies. The book further focuses on studying interspecies communication, where AI technologies decode communication patterns between humans and other species, allowing a better understanding of the natural world. It highlights how plants can capture human emotions, enhancing well-being and productivity.
Presenting empirical applications and case studies, the book analyzes societal, economic, and ecological implications, advancing theoretical insights, and introducing innovative methods. It will appeal to an interdisciplinary audience of scholars, students, and researchers in the social sciences, economics, business, sociology, psychology, environmental studies, and media and communication who are interested in a deeper understanding of how artificial intelligence and interspecies communication can contribute to building a sustainable future.&nbsp;

This book examines the revolutionary impact of artificial intelligence (AI) on communication and collaboration. In recent years, advances in large language models and deep learning have enabled seamless human communication across diverse languages and even with other species, such as dogs and humpback whales. AI is also unlocking the language of plants, including tomatoes and the 'wood wide web.'The book explores how technologies in natural language processing, image recognition, audio analysis, and network analysis facilitate unprecedented fuzzy data analysis. This progress is crucial for promoting sustainability and addressing climate change by uncovering patterns in complex environmental data that inform sustainable practices and policies. The book further focuses on studying interspecies communication, where AI technologies decode communication patterns between humans and other species, allowing a better understanding of the natural world. It highlights how plants can capture human emotions, enhancing well-being and productivity.Presenting empirical applications and case studies, the book analyzes societal, economic, and ecological implications, advancing theoretical insights, and introducing innovative methods. It will appeal to an interdisciplinary audience of scholars, students, and researchers in the social sciences, economics, business, sociology, psychology, environmental studies, and media and communication who are interested in a deeper understanding of how artificial intelligence and interspecies communication can contribute to building a sustainable future.&nbsp;

Connecting Species

Artificial Intelligence and Networks for a Sustainable Future

Navigate the intersection of deep learning technologies and Rust programming with Deep Learning with Rust. This groundbreaking book is predicated on the idea that the future of efficient, reliable, and secure deep learning applications lies in leveraging Rust's unparalleled features, such as its guarantee of memory safety, concurrency without data races, and abstractions that don't compromise performance.

You’ll explore basic neural concepts through the construction and deployment of sophisticated models using Rust. The language’s advantages for deep learning are emphasized, including enhanced performance, safety, and scalability. Through a unique blend of theory and application, you’ll explore how Rust can address the growing demand for technologies that can ensure faster, more secure deep learning solutions in an era where data volume and complexity are increasing exponentially.

This book meets a pressing need at a time when the integration of deep learning is critical across many diverse sectors. Programming languages can not only accelerate the development of AI models but also ensure they are built on a foundation of security and efficiency. This book is an indispensable resource for anyone looking to master the art of building next-generation deep learning with Rust’s growing ecosystem

What You Will Learn

Understand deep learning foundations and Rust programming principles.

Implement and optimize deep learning models in Rust, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs.

Develop practical deep learning applications to solve real-world problems, including natural language processing, computer vision, and speech recognition.

Explore Rust’s safety features, including its strict type of system and ownership model, and learn strategies to create reliable and secure AI software.

Gain an understanding of the broader ecosystem of tools and libraries available for deep learning in Rust.




Who This Book Is for

A broad audience with varying levels of experience and knowledge, including advanced programmers with a solid foundation in Rust or other programming languages (Python, C++, and Java) who are interested in learning how Rust can be used for deep learning apps. It may also be suitable for data scientists and AI practitioners who are looking to understand how Rust can enhance the performance and safety of deep learning models, even if they are new to the Rust programming language.

&nbsp;What You Will Learn<ul><li>Understand deep learning foundations and Rust programming principles.</li><li>Implement and optimize deep learning models in Rust, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs.</li><li>Develop practical deep learning applications to solve real-world problems, including natural language processing, computer vision, and speech recognition.</li><li>Explore Rust’s safety features, including its strict type of system and ownership model, and learn strategies to create reliable and secure AI software.</li><li>Gain an understanding of the broader ecosystem of tools and libraries available for deep learning in Rust.</li></ul>Who This Book Is forA broad audience with varying levels of experience and knowledge, including advanced programmers with a solid foundation in Rust or other programming languages (Python, C++, and Java) who are interested in learning how Rust can be used for deep learning apps. It may also be suitable for data scientists and AI practitioners who are looking to understand how Rust can enhance the performance and safety of deep learning models, even if they are new to the Rust programming language.

Mastering Efficient and Safe Neural Networks in the Rust Ecosystem

Deep Learning with Rust

KI-Tools für ein erfolgreiches Studium

Künstliche Intelligenz und wissenschaftliches Arbeiten

1865 beobachtete der Ökonom William Stanley Jevons: Effizientere Dampfmaschinen senkten den Kohleverbrauch pro Einheit um 75 % und steigerten den Gesamtverbrauch dramatisch. Das Jevons-Paradoxon.

Genau das geschieht heute in der Softwareentwicklung. KI senkt die Kosten der Codeerzeugung auf null. Ein Code Crash, der alles verändert. Die Folge ist nicht weniger Software. Es ist eine Explosion.

2017 veröffentlichte Matthias Schrader "Transformationale Produkte", das im deutschsprachigen Raum zum Standardwerk für die Entwicklung digitaler Produkte wurde. Jetzt legt er den Nachfolger vor. Er und beschreibt, wie sich die digitale Produktentwicklung durch KI grundlegend verändert. Und warum gerade jetzt ein Fenster aufgeht. 

Wer die Digitalisierung verschlafen hat, bekommt eine zweite Chance. Vielleicht die Letzte. Denn wenn Code nichts mehr kostet, zählt nur noch, wer die besseren Fragen stellt. Deutschland, Europas Exportweltmeister mit dem Digitalisierungsgrad eines Schwellenlands, könnte dieses Mal vorne stehen statt hinterherzulaufen.

Schrader liefert mit Soul, System, Speed das Betriebsmodell für diesen Neustart: vom transformationalen Funken über die technische Architektur bis zur Intent-to-Production-Pipeline. Mit Fallbeispielen, konkreten Methoden und einem klaren Blick auf die Risiken.

Für alle, die es diesmal richtig machen wollen.

Warum Künstliche Intelligenz Code in Intent verwandelt und wir jetzt die Chance haben, die Digitalisierung endlich richtig zu machen

Code Crash

Der Einsatz Künstlicher Intelligenz im Wissensmanagement

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