Graphical Models for Machine Learning and Digital Communication

A bold reinterpretation of economics and history revealing why technology does not inevitably lead to shared prosperity, and how we must redirect innovation in the age of AI to benefit all. A thousand years of history and contemporary evidence make it clear that progress depends on the choices we make about technology. New ways of organizing production and communication can either serve the narrow interests of an elite or become the foundation for widespread prosperity. At no point has this been truer than the crossroads we face today. The transformation of work by digital technologies and AI could make life better for most people, or possibly much worse - depending on the economic, social, and political choices we make. Through powerful, illuminating examples, Daron Acemoglu and Simon Johnson fundamentally change how we see the world. The wealth generated by technological improvements in agriculture during the European Middle Ages was captured by the nobility and used to build grand c

How is AI transforming the ways society decides what is true? Algorithms now go beyond detecting misinformation. They operate with agentic reasoning, identifying patterns, evaluating credibility, and shaping how truth is defined. Algorithmic Fact-Verification: Methods and Ethics explains how human judgment and machine intelligence intertwine in the creation of trust and credibility. It examines the social and moral consequences of giving AI an active role in verification, offering an accessible and thought-provoking account of how AI fact-checking is reshaping journalism, knowledge, and democracy in the digital age. Moving beyond the technicalities of misinformation detection, Shin analyzes how truth is produced, governed, and contested in the algorithmic age. Through a synthesis of communication theory, cognitive epistemology, and science and technology studies, we trace fact-checking's evolution from a reactive journalistic practice into an automated, infrastructural system endowed w

The 2/E of Communicating Effectively in English presents a highly interactive, experiential format for developing stronger speaking and listening skills in a variety of contexts - interpersonal, small

Talking, Listening, and Teaching demonstrates how important it is for teachers to understand and monitor classroom communication patterns and resolve problems that may hamper students' learning. Using

The use of Bayes nets and graphical causal models in the investigation of human learning of causal relations, and in modeling and inference in cognitive psychology.

There are many excellent computational biology resources now available for learning about methods that have been developed to address specific biological systems, but comparatively little attention h

Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement and success as intelligent machine systems proliferate. Descri

This book observes and analyzes the communication patterns of Latino students in an English course at the college level, closely observing the interaction between Latino students and the teacher, as w

Lively and current, CHILDREN LEARNING LANGUAGE is a practical inviting choice for courses in communication development, children's language, and educational methods.Known for its pragmatic focus on s

The rapid growth of the Internet and the World Wide Web is transforming the way information is accessed and used. New models for distributing, sharing, linking, and marketing information are appearing

Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. It examines both the commonly used traffic analysis methodologies as well the emerging ones that use deep learning methods. The book also shows how to understand statistical models and machine learning algorithms, and how to apply them to traffic modelling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning is for researchers and practitioners who want to improve the performance of intelligent transportation systems.

This manual contains open-ended activities for students to practice and apply the knowledge learned from the main text. When students begin teaching, they can use the activities as models in their own

Anyone who is an avid or professional photographer will tell you that more often than not, they are using their digital SLR camera away from their home or the classroom. And while you may feel like y

Anyone who is an avid or professional photographer will tell you that more often than not, they are using their digital SLR camera away from their home or the classroom. And while you may feel like y

This compact, camera-bag-friendly field guide was specially created to help you make the most of your Nikon V1 or J1 digital camera. No matter which of these Nikon models you own, DAVID BUSCH'S COMPAC

Anyone who is an avid or professional photographer will tell you that more often than not, they are using their digital SLR camera away from their home or the classroom. And while you may feel like y

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy.Uncertainty Modeling for Data Mining: A Label Se

If you’re a data scientist ready to tackle statistical and machine learning techniques across large data sets, this practical guide provides a solid introduction to the world of clustered computing an

Featuring new strategies, current research, and differentiated teaching models, this updated edition offers substantive methods for increasing students' content learning by helping them become better

In Hong Kong, the banking system is the primary source of financial stability risk. Post-2008 regulatory reforms have focused on financial stability policies and tools while neglecting the design of supervisory models. This book provides a comparative analysis of how supervisory models affect the management of financial stability regulations in Hong Kong's banking system. Regulatory issues discussed span prudential regulations, systemically important banks, unconventional liquidity tools, deposit insurance, lender of last resort, resolution regimes, central clearing counterparties and derivatives, Renminbi infrastructure, stock and bond connect schemes, distributed ledger technology, digital yuan, US dollar sanctions, cryptocurrencies, RegTech, and FinTech. A Regulatory Design for Financial Stability in Hong Kong elucidates the flaws and synergies in Hong Kong's banking regulatory framework and proposes conventional and innovative regulatory reforms. This book will be of great interest

When is a random network (almost) connected? How much information can it carry? How can you find a particular destination within the network? And how do you approach these questions - and others - when the network is random? The analysis of communication networks requires a fascinating synthesis of random graph theory, stochastic geometry and percolation theory to provide models for both structure and information flow. This book is the first comprehensive introduction for graduate students and scientists to techniques and problems in the field of spatial random networks. The selection of material is driven by applications arising in engineering, and the treatment is both readable and mathematically rigorous. Though mainly concerned with information-flow-related questions motivated by wireless data networks, the models developed are also of interest in a broader context, ranging from engineering to social networks, biology, and physics.

The only series for MYP 4 and 5 developed in cooperation with the International Baccalaureate (IB)Develop your skills to become an inquiring learner; ensure you navigate the MYP framework with confidence using a concept-driven and assessment-focused approach presented in global contexts.? Develop conceptual understanding with key MYP concepts and related concepts at the heart of each chapter.? Learn by asking questions with a statement of inquiry in each chapter. ? Prepare for every aspect of assessment using support and tasks designed by experienced educators.? Understand how to extend your learning through research projects and interdisciplinary opportunities.This title is also available in two digital formats via Dynamic Learning. Find out more by clicking on the links at the top of the page.

This book provides a general overview of virtual power plants (VPP) as a key technology in future energy communities and active distribution and transmission networks for managing distributed energy resources, providing local and global services, and facilitating market participation of small-scale managing distributed energy resources and prosumers. The book also aims at describing some practical solutions, business models, and novel architectures for the implementation of VPPs in the real world.Each chapter of the book begins with the fundamental structure of the problem required for a rudimentary understanding of the methods described. It provides a clear picture for practical implementation of VPP through novel technologies such as blockchain, digital twin, and distributed ledger technology.The book will help the electrical and power engineers, undergraduate, graduate students, research scholars, and utility engineers to understand the emerging solutions regarding the VPP concept l

Featuring 56 lessons by 49 music technology experts from around the world, The Music Technology Cookbook is an all-in-one guide to the world of music technology, covering topics like: composition (with digital audio workstations such as Ableton, Soundtrap, GarageBand); production skills such as recording, editing, and equalization; creating multimedia (ringtones, soundscapes, audio books, sonic brands, jingles); beatmaking; DJing; programming (Minecraft, Scratch, Sonic Pi, P5.js); and, designing instruments (MaKey MaKey). Each lesson tailored for easy use and provides a short description of the activity, keywords, materials needed, teaching context of the contributing author, time required, detailed instructions, modifications for learners, learning outcomes, assessment considerations, and recommendations for further reading. Music educators will appreciate the book''s organization into five sections--Beatmaking and Performance; Composition; Multimedia and Interdisciplinary; Production

Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal p

Language is essential to human life, both as a basic social necessity and also as a powerful and complex social resource. For the Love of Language: An Introduction to Linguistics offers a comprehensive introduction to the workings of language and the role of linguistics in investigating its fundamental design. This thorough and engaging investigation into language and linguistics covers topics including: • strategies for learning about how language works • using linguistics to address real-world problems • the structure and meaning of words • the systems that organise language • changes to language over time • how language is used in written and spoken communication • the links between language, the mind and the world. Written by authors with extensive academic experience in the field of linguistics and including examples from Australia, New Zealand and around the world to engage the reader, For the Love of Language is a lively yet comprehensive resource for undergraduate student

Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence, is in its design to learn continuously, from real-world use and experience, and its capability to improve its performance.It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software, given its continuous learning need, require computation platforms that are resource intense, and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity, traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints, small form factor computational devices with limited power, devices with intermittent or no

The context for the teaching and learning of English for specific disciplinary purposes is undergoing profound changes under the influence of economic globalization and new digital communication techn

This book proposes three liability regimes to combat the wide responsibility gaps caused by AI systems - vicarious liability for autonomous software agents (actants); enterprise liability for inseparable human-AI interactions (hybrids); and collective fund liability for interconnected AI systems (crowds). Based on information technology studies, the book first develops a threefold typology that distinguishes individual, hybrid and collective machine behaviour. A subsequent social science analysis specifies the socio-digital institutions related to this threefold typology. Then it determines the social risks that emerge when algorithms operate within these institutions. Actants raise the risk of digital autonomy, hybrids the risk of double contingency in human-algorithm encounters, crowds the risk of opaque interconnections. The book demonstrates that the law needs to respond to these specific risks, by recognising personified algorithms as vicarious agents, human-machine associations a

Many rare diseases are genetic and lack effective cures. Herbal medicine, developed by ancient healers without the benefit of modern cell biology knowledge, focuses on alleviating symptoms associated with uncommon conditions. Herbal Medicine for Rare Diseases: Alleviating Symptoms by GMP Herbal Formulations adopts an herbal medicine approach to addressing signs and symptoms of rare diseases.Each herb possesses a multitude of compounds that allow it to treat various conditions, while a single condition can often be addressed by several different herbs, illustrating complex relationships that artificial intelligence (AI) excels at deciphering. The herbal prescriptions in this book are generated using AI models, trained on a decade's worth of medical insurance data from Taiwan, featuring the use of Good Manufacturing Practice (GMP)-certified traditional Chinese medicine (TCM) products. The connection between deep learning and big data ensures that the trained AI model represents the colle

The Core Text Series takes the reader straight to the heart of the subject, providing a reliable and invaluable guide for students of law at all levels. Written by leading academics and renowned for their clarity, these concise texts explain the intellectual challenges of each area of the law. The Law of Trusts provides a concise, yet academically rigorous, textbook that skilfully engages with both controversial and complex issues within the subject. James Penner offers perceptive analysis and original and thought-provoking commentary to give students an excellent grounding in what is considered to be a challenging subject. Drawing on a variety of learning features, including summaries of key issues discussed in each chapter, must-read cases, assessment questions, and carefully selected further reading, this approachable and thorough textbook equips students with the tools they need to engage critically with the subject. Digital formats and resources The twelfth edition is available

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio.A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc.Features: Presents a comprehensive guide on how to use G

The semiotics discipline - a hybrid of communication science and anthropology - accounts for the deep cultural codes that structure communication and sociality, endow things with value, move us through constructed space, and moderate our encounters with change. Doing Semiotics shows readers how to leverage these codes to solve business problems, foster innovation, and create meaningful experiences for consumers. In addition to the key principles and methods of applied semiotics, it introduces the basics of branding, strategic decision-making, and cross-cultural marketing management. Through practical exercises, examples, extended team projects, and evaluation criteria, this book guides students through the application of learning to all phases of semiotics-based projects for communications, brand equity management, design strategy, new product development, and public policy management. In addition to tools for sorting data and mapping cultural dimensions of a market, it includes usef

The semiotics discipline - a hybrid of communication science and anthropology - accounts for the deep cultural codes that structure communication and sociality, endow things with value, move us through constructed space, and moderate our encounters with change. Doing Semiotics shows readers how to leverage these codes to solve business problems, foster innovation, and create meaningful experiences for consumers. In addition to the key principles and methods of applied semiotics, it introduces the basics of branding, strategic decision-making, and cross-cultural marketing management. Through practical exercises, examples, extended team projects, and evaluation criteria, this book guides students through the application of learning to all phases of semiotics-based projects for communications, brand equity management, design strategy, new product development, and public policy management. In addition to tools for sorting data and mapping cultural dimensions of a market, it includes usef

Cinematics Storyboard Workshopis for any artist who wants to learn how to create professional, production-ready storyboards for film, animation, television, and video game cinematics.Modeled on the Cinematics course by artist and educator Gregg Davidson, this must-have guidebook is a concise, in-depth guide to the fundamentals: from storyboard mechanics and camera angles, to shot progression and staging, as well as current digital storyboarding and previsualization practices. Founder of The Animation Academy, Charles Zembillas, calledCinematics Storyboard Workshop“one of the best books on learning how to storyboard.”

In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, nature-inspired algorithms, Internet of Things, and the role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical, and simulation modeling, and management techniques to strengthen the engineering science and technological developments for the future.Features: This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment Discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric

The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed.Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, acade

This book offers a comprehensive exploration of cutting-edge research and developments in the field of cybersecurity. It presents a curated collection of chapters that reflect the latest in empirical data approximation, malware recognition, information security technologies, and beyond.Advancements in Cybersecurity: Next-Generation Systems and Applications offers readers a broad perspective on the multifaceted challenges and solutions in contemporary cybersecurity through topics ranging from the application of blockchain technology in securing information systems, to the development of new cost functions for the iterative generation of cryptographic components. The book not only addresses technical aspects but also provides insights into the theoretical frameworks and practical applications that underpin the development of robust cybersecurity systems. It explores the optimization of algorithms for generating nonlinear substitutions, the application of machine learning models for secur

CELEBRATE FOOTBALL EVERY DAY OF THE YEAR WITH THE BRAND-NEW BOOK IN THE BESTSELLING SERIES WHERE FOOTBALL AND FACTS COME TOGETHER IN A DREAM TEAM FORMATION. THE PERFECT GIFT FOR ALL YOUNG FANS."The ultimate football yearbook where you can discover a new fun footie fact for every day of the year."-The Week JuniorWelcome to Football School Facts! It’s a book of facts and so let’s start with an important one: football is the best sport in the world.- Did you know that Erling Haaland is a record-breaking goalscoring machine?- That a player was once sent off for farting on the pitch?- Or that Diego Maradona has a religion named after him?Discover all this and much, much more all about your favourite players, great goals, super stadiums and marvellous mascots – the perfect gift for all young fans and their families to enjoy."An engaging, fun read that will keep children laughing, learning and dreaming of the pitch."- Women's Weekly"We love this series!"-Match of the Day Weekly***There’s a wh

Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning an