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Robinson J: Artificial Intelligence

Artificial Intelligence

Ethics and the New World Order

Encyclopedia of Optimization

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

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

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, Machine Learning and the Stakes for Art Criticism

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

Ai, Memristors And Nonlinear Dynamics

This book covers state-of-the-art topics in the multidisciplinary areas of Artificial Intelligence (AI) and advanced conventional as well as memristor-based computing systems. It aims to explore the theoretical foundations of memristors in computing and modeling, with potential applications in and along with quantum computing and nonlinear dynamical systems, such as computing capabilities and complex dynamics of memristors, including phenomena of chaos and bifurcation.The book presents the integration of AI with memristor systems where, in particular, AI is applied to optimal design, analysis and optimization of memristor systems. It also aims to develop intelligent systems leveraging memristors for improved performance toward future innovations in related fields.The aim is to serve researchers, engineers and graduate students, by providing a comprehensive overview of the current advancements and future prospects of research efforts in merging AI and memristors with advanced computing technologies.

Artificial Intelligence And Quantum Dynamics For Memristor-system Computing

Medical and Technical Analysis and Signal Processing Perspectives

Exploring Infant Cry

Integration of Federated Learning and Blockchain f or Smart Cities

A year of HBR's essential thinking on tech--all in one place.From gen AI to EVs to advanced digital collaboration tools, new tech innovations are reshaping organizations from the factory floor to the C-suite. What should you and your company be doing right now to take advantage of the opportunities these technologies are creating--and to avoid falling victim to disruption?The Year in Tech, 2026: The Insights You Need from Harvard Business Review will help you understand what the latest and most important applications of new tech mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues--blockchain, cybersecurity, AI, and more--each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas--and prepare you and your company for the future.

The Insights You Need from Harvard Business Review

The Year in Tech, 2026

Quantum Computing and Machine Learning for 6G

Radiologie und Betriebswirtschaft – Steuern, Optimieren, TransformierenAlle&nbsp;betriebswirtschaftlich&nbsp;relevanten Aspekte der Radiologie werden in diesem Buch anschaulich dargestellt.Der Radiologe übernimmt im Krankenhaus und in der Niederlassung immer mehr die Rolle eines Prozessmanagers. Im Krankenhaus und in Praxisverbünden wird er dabei von betriebswirtschaftlichen Experten aus dem Controlling unterstützt. Das Verständnis von radiologischen Prozessen und das Wissen um moderne Methoden des Controllings ist dabei für beide Berufsgruppen besonders wichtig. 

Das Buch beschäftigt sich mit den Akteuren und Schnittstellen der Radiologie, der Strategieplanung und dem Einsatz der technischen Geräte aus betriebswirtschaftlicher Perspektive. Themen sind: <ul><li>Kennzahlen für die Prozesseffizienz der Radiologie im Krankenhaus und der Niederlassung,</li><li>das Leistungsgeschehen, </li><li>Personalbedarfsrechnung und Prozesskostenrechnungen, </li><li>das Abrechnungsmanagement. </li></ul>Über das Prozess- und Qualitätsmanagement führt das Buch mit modernen Methoden (z.B. Balanced Scorecard, Service Blueprinting) hin zu ausführlich dargelegten und aktuell hochrelevanten Themen im Bereich des digitalen Dosismanagements der Digitalisierung von Controlling Prozessen und Aufgaben der medizinischen Leistungserbringung.Das Buch spricht die Berufsgruppen leitender Radiologen im Krankenhaus genauso an wie niedergelassene Radiologen und Krankenhausmanager und -administratoren im Bereich der Verwaltung sowie Experten im Bereich des Controllings.

Alle&nbsp;betriebswirtschaftlich&nbsp;relevanten Aspekte der Radiologie werden in diesem Buch anschaulich dargestellt.Der Radiologe übernimmt im Krankenhaus und in der Niederlassung immer mehr die Rolle eines Prozessmanagers. Im Krankenhaus und in Praxisverbünden wird er dabei von betriebswirtschaftlichen Experten aus dem Controlling unterstützt. Das Verständnis von radiologischen Prozessen und das Wissen um moderne Methoden des Controllings ist dabei für beide Berufsgruppen besonders wichtig. Das Buch beschäftigt sich mit den Akteuren und Schnittstellen der Radiologie, der Strategieplanung und dem Einsatz der technischen Geräte aus betriebswirtschaftlicher Perspektive.&nbsp;Themen sind: <ul><li>Kennzahlen für die Prozesseffizienz der Radiologie im Krankenhaus und der Niederlassung,</li><li>das Leistungsgeschehen, </li><li>Personalbedarfsrechnung und Prozesskostenrechnungen, </li><li>das Abrechnungsmanagement. </li></ul>Über das Prozess- und Qualitätsmanagement führt das Buch mit modernen Methoden (z.B. Balanced Scorecard, Service Blueprinting) hin zu ausführlich dargelegten und aktuell hochrelevanten Themen im Bereich des digitalen Dosismanagements der Digitalisierung von Controlling Prozessen und Aufgaben der medizinischen Leistungserbringung.Das Buch&nbsp;spricht&nbsp;die Berufsgruppen&nbsp;leitender Radiologen im Krankenhaus genauso an wie niedergelassene Radiologen und Krankenhausmanager und -administratoren im Bereich der Verwaltung sowie Experten im Bereich des Controllings.

Controlling, Qualitätsmanagement, Digitalisierung

Management in der Radiologie

Discover the AI and data skills you'll need and develop your confidence to succeed in the digital age.

Gain the Confidence You Need to Succeed

Data and AI Skills

Artificial Intelligence

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