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Fritchey G: SQL Server 2025 Query
Performance Tuning

SQL Server 2025 Query Performance Tuning

Troubleshoot and Optimize Query Performance

Transcending Traditional Paradigms

Artificial Intelligence

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.

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

New Directions in Contemporary Art

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual's capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual’s capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

AI Art and the Stakes for Art Criticism

This companion volume to Artificial Intelligence: A Guide for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all backgrounds and expertise levels. It seeks to demystify AI analytics by exploring core concepts, explaining various stages (Descriptive, Diagnostic, Predictive, and Prescriptive), and highlighting their limitations. Through domain-specific applications, it illustrates how AI is utilized across industries for innovation and efficiency, providing dedicated subsections for healthcare, finance, customer support, and more.Artificial Intelligence: Analytics, Platforms, and Risks thoroughly examines the AI infrastructure and ecosystem, offering insights into frameworks, platforms, tools, key players, and the critical hardware and software components supporting AI applications. It also addresses the multifaceted risks and challenges of AI, such as bad data, model selection bias, job displacement, weaponization, and ethical dilemmas, along with strategies to mitigate these risks.&nbsp;Additionally, it discusses the hurdles in AI adoption, including roadblocks, myths, planning complexities, resource requirements, and data and model challenges. Looking ahead, the book explores the future of AI, highlighting catalysts for technological progress, the transformative impact across industries, and emerging trends shaping the field. With the aim of empowering readers to navigate the complexities of AI, harness its potential, and contribute to its responsible and ethical advancement, this book serves as a comprehensive guide to AI technologies.

This companion volume to Artificial Intelligence for Everyone offers a comprehensive exploration of AI analytics, catering to individuals of all backgrounds and expertise levels. It seeks to demystify AI analytics by exploring core concepts, explaining various stages (descriptive, predictive, prescriptive), and highlighting their limitations. Through domain-specific applications, it illustrates how AI is utilized across industries for innovation and efficiency, providing dedicated subsections for healthcare, finance, customer support, and more.Artificial Intelligence: Analytics, Platforms, and Risks thoroughly examines the AI infrastructure and ecosystem, offering insights into frameworks, platforms, tools, key players, and the critical hardware and software components supporting AI applications. It also addresses the multifaceted risks and challenges of AI, such as bad data, model selection bias, job displacement, weaponization, and ethical dilemmas, along with strategies to mitigate these risks. Additionally, it discusses the hurdles in AI adoption, including roadblocks, myths, planning complexities, resource requirements, and data and model challenges. Looking ahead, the book explores the future of AI, highlighting catalysts for technological progress, the transformative impact across industries, and emerging trends shaping the field. With the aim of empowering readers to navigate the complexities of AI, harness its potential, and contribute to its responsible and ethical advancement, this book serves as a comprehensive guide to AI technologies.

Artificial Intelligence: Analytics, Platforms, and Risks

Learn how to manage the risks and opportunities of agentic AI with this practical guide to ensuring the safe and beneficial developments of advanced AI systems.

Principles and Responsible Practices

Safer Agentic AI

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.
 Christopher Hamerton
 &nbsp;is&nbsp;Deputy Director of the Institute of Criminal Justice Research at the&nbsp;University of Southampton, UK.
 Craig Webber
 &nbsp;is&nbsp;Head of the Department of Sociology, Social Policy and Criminology at the&nbsp;University of Southampton, UK.

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.

Crime, Technology and the Web

Precarious Futures

Ethik in KI und Robotik

Autonomous Cyber Resilience

Deep Fakes in den Nachrichten, Chatbots in der Beratung, Aufsätze schreiben mit ChatGPT? Diese Einführung behandelt zentrale Probleme der Technikethik: in Medizin, neuen Medien, Robotik und Künstlicher Intelligenz, Mensch-Maschine-Interaktion, Transhumanismus und Technikfolgenabschätzung. Verständlich und kompakt u. a. für Studierende der Philosophie sowie der Ingenieurswissenschaften.

Mensch – Maschine – Verantwortung

Einführung in die Technikethik

Intelligent Manufacturing and Industrial Engineering

Smart Industries in the Gig Economy: Scope, Opportunities, and Challenges discusses topics from manufacturing to service sectors, from startups to established corporations, and from localized operations to global networks using the threads of Smart Industries and the Gig Economy to weave a tapestry of innovation and change.

This book revolves around the Gig Economy and its multifaceted implications. It takes a broad view by examining the opportunities and challenges posed by the interplay between Smart Industries and the Gig Economy. Smart Industries in the Gig Economy: Scope, Opportunities, and Challenges discusses topics from manufacturing to service sectors, from startups to established corporations, and from localized operations to global networks using the threads of Smart Industries and the Gig Economy to weave a tapestry of innovation and change. It provides a panoramic view of Smart Industries in the context of the Gig Economy and emphasizes the recent cutting-edge technologies like Robotics, Artificial Intelligence, the Internet of things, Quantum Technology, Semiconductors, Additive Manufacturing, etc. The book focuses on the intervention of the Gig Economy in major cutting-edge technologies of the global industrial revolution working towards automation and its impact on enhancing smart industries. Written as a reference for students, scholars, lecturers, researchers, scientists, experts, specialists, and engineers, this book represents an area of significant interest and importance in the realm of smart industries and the Gig Economy.

Scope, Opportunities, and Challenges

Smart Industries in the Gig Economy

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loops An informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information.

AI for Design and Optimization of Cellular Networks

SQL Server 2025 Query Performance Tuning

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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