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Becker Adam: More Everything Forever / B

More Everything Forever

AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity

What goes wrong when emotions get turned into digital data to be measured, monitored and managed. Data from facial emotion recognition, brain-computer interfaces, virtual reality, global emotion surveys and sentiment analysis offer an extraordinary new terrain for scientific exploration. Emotion sensing promises to decode and even to augment and control the very essence of human experience. But what if the science and technology of emotion measurement get emotions wrong? In Governing Global Emotions, Jessica Pykett argues that we must shift our thinking on digital emotional governance and calls for a radical reassessment of the fundamental claims of emotion science. Pykett offers a groundbreaking account of how emotions are defined, used and governed through emerging digital technologies, arguing that emotions, senses and feelings have become a crucial new arena for political, economic and cultural struggles. She describes how technologies create emotional data, how smart cities use sensors to monitor residents’ feelings and how global economies measure happiness. Drawing on twenty years of interdisciplinary social science, Pykett documents how emotion science continues to delve deeper, as researchers look for evolutionary continuity, biological certainty and neuroscientific consensus. What she finds instead is a divided field vulnerable to significant criticism. Pykett concludes that standardised, universal and instrumentalised scientific accounts of emotions are machinic, and when divorced from context, they can never be global.

Technology and The New Science of Feeling

Governing Global Emotions

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp; Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

Artificial Security and the Politics of Hype in the EU

Wind Energy: Societal and Human Impacts

Shortest Histories

The Shortest History of AI

This book&nbsp;employs a structured, step-by-step approach to economic problem-solving. Each chapter begins with specific learning objectives, guiding students on what they should achieve. Key economic terms and concepts appear in lists, and brief overviews of each module help students connect with the material before diving in. The book highlights what students need to solve each problem and offers hints, enhancing their problem-solving skills.
Primarily targeting undergraduate students in intermediate microeconomics courses, this book also benefits those in more advanced courses. It aids in teaching, testing, and homework assignments, helping students prepare for tests and exams. Practical learning comes through visual aids like graphs and charts, making complex concepts easier to understand. With over 400 solved short answer and essay questions, and over 350 multiple-choice questions with explanations, students have extensive practice opportunities.
The "Requirement and Clue" feature directs students' attention to what is required and provides hints for solving each problem, addressing common issues students face in problem-solving. The case studies do not restrict themselves to any particular country, making it a versatile resource for economic thinkers worldwide. Suitable for use with major textbooks on intermediate microeconomics, the book enhances its utility as a supplementary resource.
Overall, the book fills a gap in intermediate microeconomics education by providing a comprehensive, practical, and structured approach to problem-solving. It serves as an invaluable tool for both students and professors, aiding in teaching, testing, and homework assignments.

Learn Microeconomics via Questions and Answers

Microeconomics Questions and Answers

Edition Medienwissenschaft

In einer global vernetzten, digital durchdrungenen Welt genügt es nicht mehr, in geschlossenen Systemen zu denken. Der Blick richtet sich vielmehr auf das, was Systeme verbindet und definiert: das Spiel der Schnittstellen. Als Orte der Übertragung, Filterung, Übersetzung und Sinnbildung werden sie zu den zentralen Erkenntnisobjekten überhaupt. Zwischen Mensch und Maschine, Kultur und Technik, Sprache und Material ermöglichen sie nicht nur Austausch, sondern auch ständige Veränderung. Christian Stein führt interdisziplinäre Perspektiven aus&nbsp;Medien-, Kultur-, Technik- und Naturwissenschaften zusammen.&nbsp;So öffnet er ein neues Denken - eines, das Schnittstellen offenlegt und zu ihrer aktiven Mit- und Umgestaltung anregt.

Eine interdisziplinäre Theorie des Zwischen

Schnittstelle(n)

A Introduction

Austrian Economics

a heart-breaking, unforgettable novel of love, family and second chances

Once and Again

Building and Deploying AI Applications at Scale

ML and Generative AI in the Data Lakehouse

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

Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver measurable business value.
This comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.
Key Learning Objectives
<ul>
<li>Design and implement production-ready RAG architectures for diverse enterprise use cases</li>
<li>Master advanced retrieval strategies including graph-based approaches and agentic systems</li>
<li>Optimize performance through sophisticated chunking, embedding, and vector database techniques</li>
<li>Navigate the integration of RAG with modern LLMs and generative AI frameworks</li>
<li>Implement robust evaluation frameworks and quality assurance processes</li>
<li>Deploy scalable solutions with proper security, privacy, and governance controls</li>
</ul>
Real-World Applications
<ul>
<li>Intelligent document analysis and knowledge extraction</li>
<li>Code generation and technical documentation systems</li>
<li>Customer support automation and decision support tools</li>
<li>Regulatory compliance and risk management solutions</li>
</ul>
Whether you're an AI engineer scaling existing systems or a technical leader planning next-generation capabilities, this book provides the expertise needed to succeed in the rapidly evolving landscape of enterprise AI.
What You Will Learn
<ul>
<li>Architecture Mastery: Design scalable RAG systems from prototype to enterprise production</li>
<li>Advanced Retrieval: Implement sophisticated strategies, including graph-based and multi-modal approaches</li>
<li>Performance Optimization: Fine-tune embedding models, vector databases, and retrieval algorithms for maximum efficiency</li>
<li>LLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworks</li>
<li>Production Excellence: Deploy robust systems with monitoring, evaluation, and continuous improvement processes</li>
<li>Industry Applications: Apply RAG solutions across diverse sectors, including finance, healthcare, legal, and technology</li>
</ul>

Advanced Techniques and Production-Ready Solutions for Enterprise AI

Mastering Retrieval-Augmented Generation

More Everything Forever

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