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Georgiou H: Data Science for Teams

Data Science for Teams

20 Lessons from the Fieldwork

"How do metaverse technologies change how we communicate with each other? This book explores how existing metaverse technologies affect our communication, both verbal and non-verbal, as well as the ramifications of these effects. It questions what differentiates the metaverse from earlier connected virtual worlds like World of Warcraft or Second Life, and features extracts from interviews with the users and developers of current metaverses, such as Roblox, Minecraft, and Gather.town. It also investigates the impact of the pandemic in changing and accelerating how we communicate in virtual spaces"-- Provided by publisher.

The Embodied Future of Online Communication

Conversing in the Metaverse

Series On Intelligence Science

This popular science compendium provides an approximate, holistic but first ever solution to the four Holy Grail questions: How does a brain work? How does the brain learn? How does its consciousness arise? How does learning require consciousness?The volume explains how human brains require and learn consciousness and why the new AI will overcome the current lack of conscious learning algorithms in AI. For human societies, it suggests how governments can make their taxpayers safer, more prosper and happier. For future AI, it calls for a thorough investigation in scientific infrastructures like government and private funding agencies, publication venues, professional societies and administrators that evaluate research. Why did a conscious learning algorithm not have a healthy environment to study? Why could rampant misconducts of data deletion in deep learning be allowed to grossly exaggerate AI performances for so long? The author's real-life accounts reveal deep reasons.The useful reference text benefits laymen in all walks of life, as well as professionals, researchers, academics and students in any areas.

Conscious Learning: Humans And Machines

Recent advances in robotics and artificial intelligence enabled robots to not merely be programmed for a specific task, but adapt to their environment and own body autonomously. The inspiration for this open-ended development and learning comes from findings in developmental psychology on sensorimotor and social learning. Developing a sense of Self and a sense of agency is a crucial milestone towards autonomy and cognitive and social skills in both natural and artificial systems.By exploring and interacting with their surroundings, infants learn about their bodily capabilities and develop a sense of their body as an entity differentiated from the environment and that they can control. Neuroscientists identified a set of brain regions that would be involved in this subjective experience, and hypothesized on a range of processes that would produce it.This book will explain the development of the self and self-agency in humans, and discuss what could be transferred to artificial systems. The state of the art of research in developmental robotics related to the self will be illustrated with many examples.

Self And Sense Of Agency In Artificial Systems

What is Art in the age of inequality, climate change and AI? From leading design group, Metahaven.

Cognitive Futures

The Hard Question of Art

Malware detection is exceedingly challenging, requiring deeper expertise in two domains: machine learning (ML) and malware analysis.This comprehensive collection guides ML practitioners and researchers into the state-of-the-art and underlying insights needed to work in and research problems at the intersection of machine learning and cyber security, particularly around the problem of malware targeting the Windows platform.This useful volume's contributions come from a range of experts, representing large companies, major universities, and government labs, all working at the frontiers of malware detection and remediation research.

Machine Learning For Malware Detection

Medical and Technical Analysis and Signal Processing Perspectives

Exploring Infant Cry

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

Das Buch führt anschaulich und verständlich in das Gebiet der intelligenten Verfahren ein. In geschlossenen Darstellungen zeigt es zuerst die theoretischen Grundlagen und anschließend praktische Beispiele, wobei bei den Beispielen auch fehlerhafte Ansätze gezeigt werden.Ausgehend von linearen Systemen und ihren Einschränkungen werden nichtlineare Systeme sowie grundlegende Lernverfahren eingeführt. Darauf aufbauend werden intelligente Verfahren, z.B. der lernfähige, nichtlineare Beobachter, entwickelt sowie die Identifikation von nichtlinearen Systemen und deren Optimierung behandelt. &nbsp;Anschließend werden Regelungsverfahren von nichtlinearen Systemen vorgestellt, wobei die modellbasierte adaptive Regelung sowie die Regelung von unbekannten Systemen Schwerpunkte sind. Den Abschluss bildet ein Kapitel über Fuzzy-Logik.Die Verfahren können bei vielen nichtlinearen Systemen angewendet werden und wurden bereits äußerst erfolgreich in der Medizin, in der Robotik und in der Getriebesteuerung von Hybridfahrzeugen eingesetzt.Neu an der zweiten Auflage sind Kapitel über robuste Schätzverfahren und Concurrent Learning.Die ZielgruppenDas Werk richtet sich an Studierende &nbsp;und Wissenschaftler der Ingenieurwissenschaften, Informatik und Mathematik sowie Ingenieure in der Praxis.Die AutorenUniv.-Prof. i .R. Dr.-Ing. Dr.-Ing. h.c. Dierk Schröder, Fellow IEEE, Technische Universität München, Lehrstuhl für Elektrische Antriebssysteme und Leistungselektronik&nbsp;Univ.-Prof. Dr.-Ing./Univ. Tokio habil. Martin Buss, Fellow IEEE, Technische Universität München, Lehrstuhl für Steuerungs- und Regelungstechnik

Anschauliche und verständliche Einführung in das Gebiet der intelligenten Verfahren&nbsp;Verfahren können für alle nichtlinearen Systemen angewendet werdenDie geschlossene Darstellung zeigt die theoretischen Grundlagen und praktische Beispiele

Identifikation und Regelung nichtlinearer Systeme

Intelligente Verfahren

Encyclopedia of Optimization

Specialty Crops and Climate Change Modeling

Artificial Intelligence and Data Science in Agriculture

Art in the Age of AI

How to See Like a Machine

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

Data Science for Teams

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