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Billeh Nickerson is one of Canada's showiest poets; his work is colorful, witty, and wise, with undertones of sexy. Alternating between outlandish and poignant, Artificial Cherry heralds the return of Billeh's cheeky/sweet sensibilities. From Elvis Presley and glass eyes to phantom lovers and hockey haiku, you're never quite sure where Billeh will take you, but the outcomes are always worth the ride.

Billeh Nickerson is the author of three previous poetry collections, including Impact: The Titanic Poems, and co-editor of Seminal: The Anthology of Canada's Gay Male Poets. He teaches creative writing at Kwantlen Polytechnic University in British Columbia.

How do you advance your career when AI is rewriting the rules of success?

As AI and automation revolutionize the global workforce, professionals everywhere are asking the same urgent question: How can I stay relevant in the age of AI?

Artificial Death of a Career: A Tale of Professional Obsolescence and Reinvention blends storytelling and strategy to explore the human side of technological disruption. When Shey Sinope’s world collapses under the weight of the AI revolution, his personal fight to adapt becomes a roadmap for every professional determined to stay valuable, visible, and future-ready.

Award-winning authors, Drs. Schuster and Oxley, combine their behavioural science expertise with decades of experience as HR leaders and advisors to entrepreneurs and start-ups around the world, all delivered with their trademark wry sense of humour.

Inside, you’ll discover how to:

• Stay relevant in the age of AI by mastering adaptability and continuous learning

• Reinvent your career before technology or automation forces the change

• Build a leadership mindset for the AI revolution and beyond

• Recognize early signs of professional obsolescence—and counter them fast

• Develop resilience and confidence that withstand economic and technological shifts

• Transform your work identity from outdated to indispensable

• Career and professional life advice rooted in authenticity, respect, and inclusion—championing a world where being true to yourself is the foundation for realizing your fullest potential.

Equal parts insightful and entertaining, this book helps readers future-proof their skills, reimagine success, and thrive through change rather than fear it. The future of work isn’t coming—it’s here. Learn how to adapt, evolve, and lead in the age of AI. Your career reinvention starts now.

How do you advance your career when AI is rewriting the rules of success?

As AI and automation revolutionize the global workforce, professionals everywhere are asking the same urgent question: How can I stay relevant in the age of AI?

Artificial Death of a Career: A Tale of Professional Obsolescence and Reinvention blends storytelling and strategy to explore the human side of technological disruption. When Shey Sinope’s world collapses under the weight of the AI revolution, his personal fight to adapt becomes a roadmap for every professional determined to stay valuable, visible, and future-ready.

Award-winning authors, Drs. Schuster and Oxley, combine their behavioural science expertise with decades of experience as HR leaders and advisors to entrepreneurs and start-ups around the world, all delivered with their trademark wry sense of humour.

Inside, you’ll discover how to:

• Stay relevant in the age of AI by mastering adaptability and continuous learning

• Reinvent your career before technology or automation forces the change

• Build a leadership mindset for the AI revolution and beyond

• Recognize early signs of professional obsolescence—and counter them fast

• Develop resilience and confidence that withstand economic and technological shifts

• Transform your work identity from outdated to indispensable

• Career and professional life advice rooted in authenticity, respect, and inclusion—championing a world where being true to yourself is the foundation for realizing your fullest potential.

Equal parts insightful and entertaining, this book helps readers future-proof their skills, reimagine success, and thrive through change rather than fear it. The future of work isn’t coming—it’s here. Learn how to adapt, evolve, and lead in the age of AI. Your career reinvention starts now.

This study explores three works in which the protagonist undertakes to fashion a literary artwork out of himself: Ovid's »Ars Amatoria«, Kierkegaard's »Diary of the Seducer«, and Thomas Mann's »Felix Krull«. For each work, particular attention is paid to the self-conscious interplay between the author's project of book-making and the character's project of self-making, as well as to the effect of changing notions of self-identity on the protagonist's attempt at life as literature. For »Felix Krull«, this includes a sustained analysis of Mann's incorporation and problematization of various Nietzschean models of aesthestics, reality, and self-identity. In Ovid and Kierkegaard, this study also considers a related project, the attempt to fashion a literary artwork out of another, namely out of a woman.

Explore artificial intelligence—the programming that teaches computers to be brainy—in this “enjoyable, upbeat series” (Booklist).

Did you know that you can teach a robot to play soccer? Or that you can ride in a car driven by a computer? Discover how AI learns and grows, as well as how it identifies objects by recognizing differences and similarities!

Ignite your scientific mind with fun facts, activities, and experiments. Try this: Hum “Twinkle, Twinkle Little Star,” “Baa, Baa, Black Sheep,” and the ABCs. Do you notice any similarities? Soon you’ll be thinking just like an AI program!

This STEM-driven series helps beginning scientists and engineers grasp big scientific ideas with:

• Intriguing info to fill and thrill your brain.
• Hands-on activities to jumpstart your imagination.
• Great photos to help you get the bigger picture.
• New ideas sure to change the way you see the world.

From Starry Forest Books, STEAM & Me™ uses science, technology, engineering, arts, and math to feed curiosity and spark creativity. STEAM & Me™ is all about you!

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of computer science methods that incorporate AI across many domains. It covers techniques such as Machine Learning (ML), Convolutional Neural Networks (CNN), Deep Learning (DL), and Large Language Models (LLM) to tackle complex issues and overcome various challenges.

Artificial intelligence (AI) has the potential to drastically change healthcare, including the optimisation of time and materials for clinical tasks (efficiency), and more accurate diagnose detection (effectiveness). However, these clinical-based AI applications are still in very early development stages.

Investigating the wide range of applications of AI in both community and hospital care settings, and along the patient care pathway, the chapters here focus on applications capable of contributing to the workflow and management of the activities to be provided. The impact of AI in solving the main issues of modern medicine is discussed, such as reorganization of services towards patient-centricity, management of task shifting and skills mix, greater competitiveness between public and private sector, and financing mechanisms. Difficulties that may arise during the implementation of AI in an organization are addressed, including practical solutions, providing a practical guide for managers, clinical leaders and policy makers.

Artificial Intelligence: Why and How it is Revolutionizing Healthcare Management identifies a roadmap for the appropriate introduction of artificial intelligence in healthcare organizations that responds to the need of decision-makers and managers to have a clear picture of how to move in the developing field of AI.

The world of business stands at a crossroads.

While there is general agreement that its impact on business will resemble that of previous General Purpose Technologies like electricity or the internet, business leaders are overwhelmed by the noise around Artificial Intelligence and struggling to make complex decisions after the initial experimentation phases. Now is the time to identify which previously advocated strategic principles still hold when deciding on growth and innovation, and what are the relevant value drivers in the era of AI.

Artificial Intelligence: Rethinking Business Strategy discusses how to use foresight techniques to help detect the signposts for future change and prepare for better exploitation of AI opportunities. It explores how to navigate the uncertainty about AI’s global regulation and supervision, standards and gatekeepers, speed of adoption and interrelated technological solutions as well as changes in geopolitical power dynamics. With the use of real-life examples, Teresa Martín-Retortillo defines plausible scenarios that will undoubtedly be a valuable compass for business leaders trying to distinguish noise from signals.

Business and technical professionals in leadership positions, executives, product and project managers as well as policymakers will benefit immensely from this book’s exploration of future strategies that will hereon be required to generate sustainable value creation for businesses and for society.

Artificial Intelligence: Shaping the Future of Innovation provides a concise non-technical introduction to artificial intelligence as the key driver of innovation in the new economy. The book positions AI as a General Purpose Technology, vital for driving advancements across all sectors of business, government, and society.

Written for leaders, innovators, and decision-makers, this book bridges the gap between technical complexity and practical application, demystifying AI's core concepts while illuminating its catalytic impact across industries and organizations. Through a careful examination of innovation dynamics, computational foundations, and core AI principles, readers will gain the essential knowledge needed to both understand and effectively navigate the AI landscape.

This succinct guide makes technical concepts accessible—from algorithms and machine learning to deep learning and generative AI—giving leaders the clarity they need to engage confidently with AI technology.

Companies that don't use AI will soon be obsolete.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI?

Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

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.

Companies that don't use AI will soon be obsolete.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI?

Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

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.

Companies that don't use AI will soon be obsolete.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI?

Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

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.

History and Panorama

• Artificial intelligence as a planning tool for architects
• From urban planning to floor plans
• Potential of a new way of working.

Artificial Intelligence’s (AI) has today made its way into Architecture. The pace of AI’s deployment in our field, evermore bolstered by the speed of this technology's development by the tech industry, has surpassed in many ways what practitioners expected just a few years ago. Halfway between full scale adoption and hampered usage due to the obvious remaining limitations of this technology, AI’s presence in Architecture stands today at a crossroad.
This new, updated edition of Artificial Intelligence & Architecture offers to examine this typing point.This book provides an introduction to the topic through the triple lens of history, application, and theory. A chronology of Architecture’s technological evolution first puts AI back in the context of the discipline. It then presents an up-to-date collection of AI’s applications in Architecture. The book finally gives the stage to contributors working at the forefront of this revolution. Their perspectives provide a panorama of the discourse surrounding AI’s presence in the field. Halfway between research and practice, this book offers to unveil the promise and challenges AI holds for Architecture.

• Fully revised edition of an earlier introduction to AI and architecture
• Topic viewed through triple lenses of history, practice, and theory
• This book unveils the promise and challenges of AI in architecture

This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education.

The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-chatbot interaction, there is a risk of losing sight of this interaction’s goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because 'the measure of success for AI applications is the value they create for human lives' (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities’ and social sciences’ researchers, who can identify cognitive processes and human behaviors.

This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the ‘right’ set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today’s education infrastructure). We must remember as we have already noticed before '…education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)'.

Artificial intelligence (AI) technologies are one of top investment priorities in these days. They are aimed at finding applications in fields of special value for humans, including education.

The fourth industrial revolution will replace not only human hands but also human brains, the time of machines requires new forms of work and new ways of business education, however we must be aware that if there is no control of human-chatbot interaction, there is a risk of losing sight of this interaction’s goal. First, it is important to get people to truly understand AI systems, to intentionally participate in their use, as well as to build their trust, because 'the measure of success for AI applications is the value they create for human lives' (Stanford University 2016, 33). Consequently, society needs to adapt to AI applications if it is to extend its benefits and mitigate the inevitable errors and failures. This is why it is highly recommended to create new AI-powered tools for education that are the result of cooperation between AI researchers and humanities’ and social sciences’ researchers, who can identify cognitive processes and human behaviors.

This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions what we should teach (what the ‘right’ set of future skills is), how we should teach (the way in which schools should teach and assess them) and where we should teach (what implications does AI have for today’s education infrastructure). We must remember as we have already noticed before '…education institutions would need to ensure that that they have an appropriate infrastructure, as well as the safety and credibility of AI-based systems. Ultimately, the law and policies need to adjust to the rapid pace of AI development, because the formal responsibility for appropriate learning outcomes will in future be divided between a teacher and a machine. Above all, we should ensure that AI respect human and civil rights (Stachowicz-Stanusch, Amann, 2018)'.

This book lends insight into solving some well-known AI problems using the most efficient problem-solving methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem. This book assembles in one place a set of interesting and challenging AI–type problems that students regularly encounter in computer science, mathematics, and AI courses. These problems are not new, and students from all backgrounds can benefit from the kind of deductive thinking that goes into solving them. The book is especially useful as a companion to any course in computer science or mathematics where there are interesting problems to solve.

Features:

•Addresses AI and problem-solving from different perspectives
•Covers classic AI problems such as Sudoku, Map Coloring, Twelve Coins, Red Donkey, Cryptarithms, Monte Carlo Methods, Rubik’s Cube, Missionaries/Cannibals, Knight’s Tour, Monty Hall, and more
•Includes a companion disc with source code, solutions, figures, and more
•Offers playability sites where students can exercise the process of developing their solutions
•Describes problem-solving methods that might be applied to a variety of situations

eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

This volume offers an innovative and counter-intuitive study of how and why artificial intelligence-infused weapon systems will affect the strategic stability between nuclear-armed states. Johnson demystifies the hype surrounding artificial intelligence (AI) in the context of nuclear weapons and, more broadly, future warfare. The book highlights the potential, multifaceted intersections of this and other disruptive technology – robotics and autonomy, cyber, drone swarming, big data analytics, and quantum communications – with nuclear stability.

Anticipating and preparing for the consequences of the AI-empowered weapon systems are fast becoming a critical task for national security and statecraft. Johnson considers the impact of these trends on deterrence, military escalation, and strategic stability between nuclear-armed states – especially China and the United States. The book draws on a wealth of political and cognitive science, strategic studies, and technical analysis to shed light on the coalescence of developments in AI and other disruptive emerging technologies.

Artificial intelligence and the future of warfare sketches a clear picture of the potential impact of AI on the digitized battlefield and broadens our understanding of critical questions for international affairs. AI will profoundly change how wars are fought, and how decision-makers think about nuclear deterrence, escalation management, and strategic stability – but not for the reasons you might think.

This volume offers an innovative and counter-intuitive study of how and why AI-infused weapon systems will affect the strategic stability between nuclear-armed states. Johnson demystifies the hype surrounding AI in the context of nuclear weapons and, more broadly, future warfare. The book highlights the potential, multifaceted intersections of this and other disruptive technology – robotics and autonomy, cyber, drone swarming, big data analytics, and quantum communications – with nuclear stability.

The book sketches a clear picture of the potential impact of AI on the digitized battlefield and broadens our understanding of critical questions for international affairs. AI will profoundly change how wars are fought, and how decision-makers think about nuclear deterrence, escalation management, and strategic stability – but not for the reasons you might think.

Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for decision making in current management practices.

Artificial Intelligence Enabled Management argues that the economic problems facing academics, professionals, managers, governments, businesses and those at the bottom of the economic pyramid have a technical solution that relates to AI. Businesses in developing countries are using cutting-edge AI-based solutions to improve autonomous delivery of goods and services, implement automation of production and develop mobile apps for services and access to credit. By integrating data from websites, social media and conventional channels, companies are developing data management platforms, good business plans and creative business models. By increasing productivity, automating business processes, financial solutions and government services, AI can drive economic growth in these emerging economies. Public and private sectors can work together to find innovative solutions that simultaneously alleviate poverty and inequality and increase economic mobility and prosperity.

The thought-provoking contributions in this book also bring attention to new barriers that have emerged in the acceptance, use, integration and deployment of AI by businesses in developing countries and explore the often-overlooked drawbacks of AI adoption that can hinder or even cause value loss. The book is a must-read for policymakers, researchers, and anyone interested in understanding the critical role of AI in the emerging economy perspective.

This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.

Artificial Intelligence for Developers in easy steps is for coders who want to enhance their skillset quickly and easily. Artificial Intelligence (AI) is here to stay, and this guide reveals how AI works and illustrates how to build AI applications. It even covers no-code AI tools. This primer comes with free downloadable source code to get you started straightaway. Topics covered include:

Aimed at aspiring developers and students who are familiar with Python and now want to master AI concepts and build intelligent AI solutions.

AI programming is mainstream now. Update your coding skills and stay on top!

Note – this book only gives detailed information for Windows. The book is aimed at developers with experience of other languages, so Linux and MacOS users should find the book useful but it won't be as streamlined as for a Windows user.

In an era of rapid technological innovation and digital transformation, artificial intelligence (AI) is reshaping the way organizsations approach talent acquisition and management. Artificial Intelligence for Digital Talent Acquisition and Management: Analytical Approaches, Practices, Models for Digitalization analyses the intersection of AI and workforce strategies, offering readers a thorough exploration of analytical approaches, cutting-edge practices, and innovative models.

Bridging the gap between AI theory and practical application, the authors provide actionable frameworks and strategies for leveraging AI in workforce management. From streamlining talent acquisition to enhancing management practices, the authors present a comprehensive roadmap for navigating the transformative impact of AI on digital talent strategies. Whether you're a business leader, HR professional, or academic, this book equips you with the tools and knowledge to thrive in the ever-evolving landscape of digitalization.

The book Artificial Intelligence for Healthcare: Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI’s transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions.

The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.

This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.

This book focusses on applications of artificial intelligence, machine learning, non-conventional machining, micro and nano machining, hybrid machining, evolutionary algorithms, optimization techniques and environmental friendly machining in the production of goods.

Artificial Intelligence (AI) is revolutionizing agriculture and environmental sustainability worldwide. As global demand for food and sustainable practices grows, AI is paving the way for smarter farming and more efficient environmental management. Artificial Intelligence in Agriculture and Environmental Sustainability: A Global Perspective delves into how AI is driving these changes, offering critical insights from both theory and practice.

In this edited collection, authors explore the multifaceted impacts of artificial intelligence (AI) across various sectors, with a particular focus on agriculture and environmental sustainability. The work begins by examining the economic implications of AI in agriculture, addressing both the challenges and future directions for farming. It delves into smart crop recommendation systems and the transformative potential of AI on Asia’s food supply. The discussion then broadens to analyze AI’s role in economic growth and financial inclusion in the context of the environment. Authors investigate the relationship between environmental pollution and the integration of AI in sustainable practices. Finally, the work considers the socio-economic and environmental consequences of AI, offering a critical analysis of disruptive digital technologies.

This work is essential reading for academics, policymakers, and industry professionals. It offers critical insights into how AI is revolutionizing agriculture and environmental sustainability, making it a valuable resource for anyone looking to understand and leverage AI’s transformative potential.

While AI is driving advancements in business and society, it also introduces challenges like ethical dilemmas and e-pollution. Its impact on both economic and social fronts is undeniable, with the potential to drive innovation, increase efficiency, and reduce waste. However, this great potential comes with significant responsibility, as the ethical implications and risks of AI must be carefully managed to harness its benefits for addressing global issues.

In Artificial Intelligence in Business and Society: Global Insights, authors delve into the multifaceted impacts of AI on business economics and social structures. This edited volume is divided into two sections: the first examines AI’s influence on economic growth, financial inclusion, and technological innovation, with contributions from experts across various fields. The second section explores AI’s social implications, including its role in education, job markets, health outcomes, elections, and human rights. Through diverse international perspectives, this work provides a comprehensive understanding of AI’s potential to drive sustainable development and address global challenges.

This collected edition is essential for policymakers, educators, business leaders, and anyone interested in the transformative power of AI. It offers valuable insights into how AI can drive sustainable development, improve human well-being, and address global challenges, while also highlighting the ethical considerations and risks involved.

The field of healthcare is being transformed by artificial intelligence (AI). Professionals need to comprehend the potential impact of AI on clinical decision support and epidemiological modeling. This comprehensive guide helps bridge the gap between theory and practice, providing readers with the knowledge and skills needed to leverage AI in healthcare.

The book covers a broad range of topics, from the basics of AI and machine learning to the creation and assessment of clinical decision support systems. It also covers the use of state-of-the-art AI methods for disease surveillance and outbreak prediction. Through a mix of theoretical explanations, practical examples, and hands-on exercises, readers will learn how to prepare and manipulate clinical and epidemiological datasets, build, and implement cutting-edge AI solutions, and address the ethical considerations and challenges of applying AI in healthcare.

What makes this book unique is its combination of expert insights from a practitioner’s perspective, real-world case studies, and a practical approach to walk readers through the process of developing and implementing AI solutions. Additional online resources, like datasets, code samples, and case studies, further enrich the learning experience.

Whether you are a healthcare professional looking to enhance patient outcomes, a data scientist striving to create innovative AI solutions, or a student eager to explore the frontiers of healthcare technology, this book is an essential resource.

Artificial Intelligence in Hospitality and Tourism in Africa offers a timely and comprehensive exploration of AI’s transformative role in tourism and hospitality across Africa, and other emerging regions. As global industries rapidly adopt AI technologies, this timely volume addresses the critical gap in literature concerning AI integration in tourism sectors where infrastructural and technological limitations persist. Through regionally grounded case studies and empirical research, the book investigates how AI can enhance customer experience, streamline operations, and promote sustainable tourism practices, while also confronting challenges such as digital infrastructure, ethical concerns, and workforce readiness. Bringing together diverse perspectives from scholars and practitioners, this edited volume presents a balanced blend of conceptual frameworks and practical insights. Chapters examine fintech’s role in the visitor economy; AI-driven service personalisation; and industry preparedness for robotics and automation. It is an essential resource for academics, policymakers, and industry professionals seeking to understand and harness AI’s potential within the unique socio-economic contexts of emerging markets.

Review of Marketing Research pushes the boundaries of marketing—broadening the marketing concept to make the world a better place.

Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI). Topics covered include the effects of AI on: economics; personalisation; pricing; content generation; the identification, structuring, and prioritization of customer needs; customer feedback; Natural Language Processing; image analytics; deep learning; and the anthropomorphism of AI, such as in virtual assistants and chatbots.

Each chapter provides thought provoking discussions which will be relevant to researchers, professionals, and students.

Sophisticated technologies play a growing part in materials science. Artificial Intelligence in Polymer Science offers a comprehensive examination of the impact of artificial intelligence on polymer research and nanotechnology, encompassing AI-facilitated polymer synthesis and characterisation, as well as novel applications in drug delivery systems, nanomaterial design, and polymer informatics. This book provides insightful information on both present developments and potential future directions, with each chapter addressing subjects including AI-powered polymer sequence design, autonomous labs, and machine learning in material simulations. Professionals in the field will gain from pragmatic illustrations and innovative methodologies, rendering it a vital resource for researchers, engineers, and advanced scholars. This thorough understanding will transform the way AI integrates polymers and nanotechnology, spurring innovation and improving material properties—all of which will have a major impact on applications in the fields of healthcare, business, and the environment.

This volume argues that adults can learn English as a second language if their typical errors are corrected systematically and in line with their preferred style of learning. The remedy designed for this purpose relies on artificial intelligence. The book describes original research which demonstrates the success of this approach.

This volume argues that adults can learn English as a second language if their typical errors are corrected systematically and in line with their preferred style of learning. The remedy designed for this purpose relies on artificial intelligence. The book describes original research which demonstrates the success of this approach.

This book explores the concept of artificial intelligence (AI) literacy within higher education, addressing both instructors’ and students’ preparedness to engage with AI technologies responsibly and effectively. By synthesising existing frameworks and empirical studies, alongside presenting two original research studies, the book bridges theoretical foundations with practical applications tailored for modern educational contexts. Practical recommendations include methods to develop AI literacy skills, focusing on ethical awareness, technological competence, and the potential for AI to enhance teaching and learning processes. Aimed at higher education instructors, stakeholders and students, the book offers actionable insights and tools for fostering informed and critical engagement with AI, aligned with lifelong learning goals and professional development needs.

This book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defi ned networking, congestion control, communication network optimization, security, and anomaly detection.

Development in any country is impossible if reliable and affordable energy, safe water and sanitation, as well as telecommunication facilities, are not easily accessible. Artificial intelligence and machine learning techniques are now widely used in all branches of engineering to build and optimize systems. The combination of AI and engineering can indeed act as a real catalyst to achieve the UN SDGs.

The volume editors present an analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs. Topics covered include sustainable crop production and consumption, AI based clean water and sanitation monitoring, intelligent transport systems and achieving affordable and clean energy through AI and 5G powered internet of energy.

Such a study is of paramount importance and is a valuable source of information for researchers, engineers, and policy makers to be able to better design and adopt AI enabled techniques in different engineering areas, with a view to catalyze the achievement of the UN SDGs.

Although substantial research has been conducted on Artificial Intelligence (AI), environmental, social, and governance (ESG) investing, and the rise of tokenized assets individually, there remains a gap in literature which analyzes how these topics and trends overlap and are influence each other. Professionals and scholars alike continue to face a shortage of practically oriented books and content with either technical or purely conceptual writings and content dominating market share.

In Artificial Intelligence, ESG Investments and The Future of Tokenized Assets, award winning researcher and academic Sean Stein Smith addresses this gap, offering a rapid, accessible guide to the intersections and implications of these transformative technologies. Covering topics from AI utilization by financial institutions and professionals for both quantity and quality of data reporting, to the implications of these changes for accounting, finance, and economics professionals needing to contend with an AI-driven tokenized financial landscape, Stein Smith dives into the future of transformative technologies, with examples, resources, and places where readers can learn more will be embedded within every chapter.

Academics and practitioners can discover actionable business intelligences to enable both an understanding and implementation of technologies such as AI, and tokenization across business and service lines.

Artificial Intelligence’s Impact on Legal Journals provides an overview of the opportunities and challenges presented by the use of artificial intelligence (AI) and its impact on legal journals, including the Ottawa Law Review (OLR).

Throughout the publication lifecycle of a given piece, AI tools may play a pivotal role in enhancing the editorial and publishing processes. Similarly, authors submitting to legal journals may also leverage AI tools for purposes that range from improving readability to generating content.

While the potential benefits are significant, the use of such tools raises various issues pertaining to the accuracy and quality of publications, as well as broader ethical and legal issues.

Journals have responded to these opportunities and challenges at different speeds and in different ways. Some journals in non-legal disciplines have developed extensive AI policies, while the majority of legal journals appear to be falling behind in this regard.

This book contains several recommendations that will empower the OLR to embrace the transformative potential of AI responsibly while maintaining its commitment to safeguarding privacy, intellectual property, and scholarly rigour.

Central to this endeavour is the adoption of three AI policies: one covering the use of generative AI and AI-assisted technologies in submissions, another addressing AI usage in the peer review process, and a final one relating to the editorial team.

This book ultimately aspires to ensure the OLR upholds its reputation as a reliable contributor to legal scholarship by guiding the organization through this new technological revolution.

What happens when the human brain, which evolved over eons, collides with twenty-first-century technology? Machines can now push psychological buttons, stimulating and sometimes exploiting the ways people make friends, gossip with neighbors, and grow intimate with lovers. Sex robots present the humanoid face of this technological revolution—yet although it is easy to gawk at their uncanniness, more familiar technologies based in artificial intelligence and virtual reality are insinuating themselves into human interactions. Digital lovers, virtual friends, and algorithmic matchmakers help us manage our feelings in a world of cognitive overload. Will these machines, fueled by masses of user data and powered by algorithms that learn all the time, transform the quality of human life?

Artificial Intimacy offers an innovative perspective on the possibilities of the present and near future. The evolutionary biologist Rob Brooks explores the latest research on intimacy and desire to consider the interaction of new technologies and fundamental human behaviors. He details how existing artificial intelligences can already learn and exploit human social needs—and are getting better at what they do. Brooks combines an understanding of core human traits from evolutionary biology with analysis of how cultural, economic, and technological contexts shape the ways people express them. Beyond the technology, he asks what the implications of artificial intimacy will be for how we understand ourselves.

Artificial Life After Frankenstein brings the insights born of Mary Shelley's legacy to bear upon the ethics and politics of making artificial life and intelligence in the twenty-first century.

What are the obligations of humanity to the artificial creatures we make? And what are the corresponding rights of those creatures, whether they are learning machines or genetically modified organisms? In seeking ways to respond to these questions, so vital for our age of genetic engineering and artificial intelligence, we would do well to turn to the capacious mind and imaginative genius of Mary Wollstonecraft Shelley (1797-1851). Shelley's novels Frankenstein; or, The Modern Prometheus (1818) and The Last Man (1826) precipitated a modern political strain of science fiction concerned with the ethical dilemmas that arise when we make artificial life—and make life artificial—through science, technology, and other forms of cultural change.

In Artificial Life After Frankenstein, Eileen Hunt Botting puts Shelley and several classics of modern political science fiction into dialogue with contemporary political science and philosophy, in order to challenge some of the apocalyptic fears at the fore of twenty-first-century political thought on AI and genetic engineering. Focusing on the prevailing myths that artificial forms of life will end the world, destroy nature, and extinguish love, Botting shows how Shelley modeled ways to break down and transform the meanings of apocalypse, nature, and love in the face of widespread and deep-seated fear about the power of technology and artifice to undermine the possibility of humanity, community, and life itself.

Through their explorations of these themes, Mary Shelley and authors of modern political science fiction from H. G. Wells to Nnedi Okorafor have paved the way for a techno-political philosophy of living with the artifice of humanity in all of its complexity. In Artificial Life After Frankenstein, Botting brings the insights born of Shelley's legacy to bear upon the ethics and politics of making artificial life and intelligence in the twenty-first century.

Artificial Life After Frankenstein brings the insights born of Mary Shelley's legacy to bear upon the ethics and politics of making artificial life and intelligence in the twenty-first century.

What are the obligations of humanity to the artificial creatures we make? And what are the corresponding rights of those creatures, whether they are learning machines or genetically modified organisms? In seeking ways to respond to these questions, so vital for our age of genetic engineering and artificial intelligence, we would do well to turn to the capacious mind and imaginative genius of Mary Wollstonecraft Shelley (1797-1851). Shelley's novels Frankenstein; or, The Modern Prometheus (1818) and The Last Man (1826) precipitated a modern political strain of science fiction concerned with the ethical dilemmas that arise when we make artificial life—and make life artificial—through science, technology, and other forms of cultural change.

In Artificial Life After Frankenstein, Eileen Hunt Botting puts Shelley and several classics of modern political science fiction into dialogue with contemporary political science and philosophy, in order to challenge some of the apocalyptic fears at the fore of twenty-first-century political thought on AI and genetic engineering. Focusing on the prevailing myths that artificial forms of life will end the world, destroy nature, and extinguish love, Botting shows how Shelley modeled ways to break down and transform the meanings of apocalypse, nature, and love in the face of widespread and deep-seated fear about the power of technology and artifice to undermine the possibility of humanity, community, and life itself.

Through their explorations of these themes, Mary Shelley and authors of modern political science fiction from H. G. Wells to Nnedi Okorafor have paved the way for a techno-political philosophy of living with the artifice of humanity in all of its complexity. In Artificial Life After Frankenstein, Botting brings the insights born of Shelley's legacy to bear upon the ethics and politics of making artificial life and intelligence in the twenty-first century.

Artificial Life After Frankenstein brings the insights born of Mary Shelley's legacy to bear upon the ethics and politics of making artificial life and intelligence in the twenty-first century.

What are the obligations of humanity to the artificial creatures we make? And what are the corresponding rights of those creatures, whether they are learning machines or genetically modified organisms? In seeking ways to respond to these questions, so vital for our age of genetic engineering and artificial intelligence, we would do well to turn to the capacious mind and imaginative genius of Mary Wollstonecraft Shelley (1797-1851). Shelley's novels Frankenstein; or, The Modern Prometheus (1818) and The Last Man (1826) precipitated a modern political strain of science fiction concerned with the ethical dilemmas that arise when we make artificial life—and make life artificial—through science, technology, and other forms of cultural change.

In Artificial Life After Frankenstein, Eileen Hunt Botting puts Shelley and several classics of modern political science fiction into dialogue with contemporary political science and philosophy, in order to challenge some of the apocalyptic fears at the fore of twenty-first-century political thought on AI and genetic engineering. Focusing on the prevailing myths that artificial forms of life will end the world, destroy nature, and extinguish love, Botting shows how Shelley modeled ways to break down and transform the meanings of apocalypse, nature, and love in the face of widespread and deep-seated fear about the power of technology and artifice to undermine the possibility of humanity, community, and life itself.

Through their explorations of these themes, Mary Shelley and authors of modern political science fiction from H. G. Wells to Nnedi Okorafor have paved the way for a techno-political philosophy of living with the artifice of humanity in all of its complexity. In Artificial Life After Frankenstein, Botting brings the insights born of Shelley's legacy to bear upon the ethics and politics of making artificial life and intelligence in the twenty-first century.

Artificial Neural Networks (ANNs) is a powerful computational tool to mimic the learning process of the mammalian brain. This book gives a comprehensive overview of ANNs including an introduction to the topic, classifications of single neurons and neural networks, model predictive control and a review of ANNs used in food processing. Also, examples of ANNs in food processing applications such as pasteurization control are illustrated.

From the wooden teeth of George Washington to the Bly prosthesis, popular in the 1860s and boasting easy uniform motions of the limb, to today's lifelike approximations, prosthetic devices reveal the extent to which the evolution and design of technologies of the body are intertwined with both the practical and subjective needs of human beings.
The peculiar history of prosthetic devices sheds light on the relationship between technological change and the civilizing process of modernity, and analyzes the concrete materials of prosthetics which carry with them ideologies of body, ideals, body politics, and culture.
Simultaneously critiquing, historicizing, and theorizing prosthetics, Artificial Parts, Practical Lives lays out a balanced and complex picture of its subject, neither vilifying nor celebrating the merger of flesh and machine.

From the wooden teeth of George Washington to the Bly prosthesis, popular in the 1860s and boasting easy uniform motions of the limb, to today's lifelike approximations, prosthetic devices reveal the extent to which the evolution and design of technologies of the body are intertwined with both the practical and subjective needs of human beings.
The peculiar history of prosthetic devices sheds light on the relationship between technological change and the civilizing process of modernity, and analyzes the concrete materials of prosthetics which carry with them ideologies of body, ideals, body politics, and culture.
Simultaneously critiquing, historicizing, and theorizing prosthetics, Artificial Parts, Practical Lives lays out a balanced and complex picture of its subject, neither vilifying nor celebrating the merger of flesh and machine.

From the wooden teeth of George Washington to the Bly prosthesis, popular in the 1860s and boasting easy uniform motions of the limb, to today's lifelike approximations, prosthetic devices reveal the extent to which the evolution and design of technologies of the body are intertwined with both the practical and subjective needs of human beings.
The peculiar history of prosthetic devices sheds light on the relationship between technological change and the civilizing process of modernity, and analyzes the concrete materials of prosthetics which carry with them ideologies of body, ideals, body politics, and culture.
Simultaneously critiquing, historicizing, and theorizing prosthetics, Artificial Parts, Practical Lives lays out a balanced and complex picture of its subject, neither vilifying nor celebrating the merger of flesh and machine.

These collected studies on the philosophy of the image offer the fundamental insight that images alone make the artificial presence of things possible. Images present things as exclusively visible, released from the laws of physics. Taking this idea as his point of departure, Wiesing provides an overview of the fundamental positions in contemporary image studies. He describes the use of images as signs from a phenomenological perspective, reconstructs Plato's concept of mimesis by way of the canon of images it presupposes, and demonstrates the special relevance of extreme types of images— virtual reality, desktop windows, or abstract photography—for the philosophical labor of the concept of the image.

These collected studies on the philosophy of the image offer the fundamental insight that images alone make the artificial presence of things possible. Images present things as exclusively visible, released from the laws of physics. Taking this idea as his point of departure, Wiesing provides an overview of the fundamental positions in contemporary image studies. He describes the use of images as signs from a phenomenological perspective, reconstructs Plato's concept of mimesis by way of the canon of images it presupposes, and demonstrates the special relevance of extreme types of images— virtual reality, desktop windows, or abstract photography—for the philosophical labor of the concept of the image.

Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI’s transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas?

Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force.

Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.

Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI’s transformative potential keep reappearing in social and political discourse, and how are they linked to broader political agendas?

Yarden Katz reveals the ideology embedded in the concept of artificial intelligence, contending that it both serves and mimics the logic of white supremacy. He demonstrates that understandings of AI, as a field and a technology, have shifted dramatically over time based on the needs of its funders and the professional class that formed around it. From its origins in the Cold War military-industrial complex through its present-day Silicon Valley proselytizers and eager policy analysts, AI has never been simply a technical project enabled by larger data and better computing. Drawing on intimate familiarity with the field and its practices, Katz instead asks us to see how AI reinforces models of knowledge that assume white male superiority and an imperialist worldview. Only by seeing the connection between artificial intelligence and whiteness can we prioritize alternatives to the conception of AI as an all-encompassing technological force.

Bringing together theories of whiteness and race in the humanities and social sciences with a deep understanding of the history and practice of science and computing, Artificial Whiteness is an incisive, urgent critique of the uses of AI as a political tool to uphold social hierarchies.

The DeGruyter series on the Science of Measurement (DGSM) intends to provide a comprehensible overview of the essential connection between the real world and modern information processing and its utilization. Without efficient and reliable measurements, we would lack knowledge about all aspects of our world, including the lives of human being.

The series aims to present in a clear and understandable way especially current advances such as the revised system of units and the metrological infrastructure, the transformation of measurement results into useful information, the virtual representation and cognitive abilities of measurement processes, the mastery of dynamic behavior of measurement processes as well as quantitative assessments going beyond the classical SI-based measurements. In addition, there is an overview of the mathematical and probabilistic foundations necessary to describe the fields of metrology and measurement technology.

This study develops the theory that the practice of retelling reflected in the poetologies of German-language chivalric romance (twelfth and thirteenth centuries) must be understood not just as artificial poiesis but also as a practice of imitation and dispute. The study derives these two dimensions of the retelling historically from Horace’s Ars poetica and describes them conceptually using the concepts of artificiality and agon.

Die Neubearbeitung 2022, enthält eine systematische Analyse wichtiger aktueller Entscheidungen zum Internationalen Kindschaftsrecht (inkl. Adoptionsrecht) sowie des Erwachsenenschutzübereinkommens. So gibt es z.B. widersprechende Entscheidungen zu der Frage, ob die gleichgeschlechtliche Partnerin einer Frau, die mithilfe einer Samenspende ein Kind zur Welt gebracht hat, nach einer Geschlechtsumwandlung ein Vaterschaftsanerkenntnis abgeben kann.

Die Neubearbeitung behandelt zum internationalen Abstammungsrecht die Diskussion um die Anerkennung von Leihmutterkindern, zum Eltern-Kind-Verhältnis den Bedeutungsverlust von Art.21 infolge des Haager Kinderschutzübereinkommens sowie die Rechtsprechung zur Anerkennung ausländischer Adoptionen. Zudem erläutert die Bearbeitung ausführlich das Haager Erwachsenenschutzübereinkommen.

Art. 7 und 12 EGBGB behandeln die Anknüpfung der Geschäftsfähigkeit und den Schutz des inländischen Rechtsverkehrs vor unbekannten Beschränkungen der Geschäftsfähigkeit nach ausländischem Recht. Art. 12 EGBGB enthält schließlich eine mit Art. 13 Rom I-VO übereinstimmende Verkehrsschutzregelung, die vor allem auf dem Gebiet der Verfügungen über Mobilien und über inländische Grundstücke praktische Bedeutung hat. Im Rahmen der Neukommentierung von Art. 9 EGBGB haben sich seit der Vorauflage u.a. Änderungen hinsichtlich der Anerkennung ausländischer Todeserklärungen und verwandter behördlicher oder gerichtlicher Feststellungen ergeben. Neu einzuarbeiten war auch die praktische Umsetzung der 2007 ins Gesetz eingefügten Angleichungsvorschrift des Art. 47 EGBGB. Art. 11 EGBGB ist auf dem Gebiet des internationalen Schuldvertragsrechts mit Wirkung ab 17.12 .2009 durch Art. 11 Rom I-VO abgelöst worden.

Die Neubearbeitung 2024 beschäftigt sich ua mit den Änderungen, die das Gesetz zur Reform des Vormundschafts- und Betreuungsrechts für das Internationale Privatrecht mit sich brachte. Dazu zählt die Reform des Art 7 EGBGB zu dem auf die Rechts- und Geschäftsfähigkeit anwendbaren Recht, deren Neufassung des Absatzes 2 weitreichende Folgen für den inländischen Geschäftsverkehr haben wird. Erhebliche praktische Bedeutung hat das in den Art 10, 47 und 48 EGBGB geregelte internationale Namensrecht, zu dem in jüngerer Zeit mehrere grundlegende BGH-Entscheidungen ergangen sind.

Der Band widmet sich wichtigen Fragen aus dem IPR zum Allgemeinen Teil des BGB, insbesondere Geschäftsfähigkeit und Form, sowie dem bedeutender werdenden Internationalen Namensrecht. Er enthält die Erstkommentierung des neuen Art. 8 EGBGB zum Internationalen Stellvertretungsrecht. Die kürzlich in Kraft getretenen EU-VO (u.a. EuErbVO, EuGüVO, EuPartVO, eIDAS-VO) werden konzentriert berücksichtigt.

Im Mittelpunkt steht die Frage, warum es Sprachen mit Artikel und solche ohne Artikel gibt. Am Fallbeispiel der Artikelentstehung in den germanischen Sprachen (Altisländisch, Gotisch und Althochdeutsch) wird herausgearbeitet, daß Artikelsysteme immer dann fehlen, wenn Sprachen intakte Aspektpaare aufweisen, und umgekehrt. Ein weiteres Ergebnis ist die Unterscheidung zwischen hypo- und hyperdeterminierenden Artikelsprachen, die als sprachtypologisch relevant erachtet wird. Hyperdeterminierende Artikelsprachen tendieren zum Neuaufbau von Aspektsystemen mit parallelem Verlust des Artikels. Auf der Basis kommentierter Transkriptionen von Textsequenzen werden die komplexen Muster der kategorialen Interaktion von Artikel und Aspekt aufgezeigt. Die Arbeit mündet in einer unifizierenden Beschreibung von Artikel und Aspekt als jeweils spezifische Anpassungen der Definitheitskategorie an ihre nominale oder verbale Umgebung.

Increased interest in handicrafts has led to more people becoming artisans both as a hobby and a business activity, making Artisan Entrepreneurship a growing phenomenon. This has been particularly relevant during the COVID-19 crisis in which individuals and communities began engaging with more bespoke crafting at home. This book focuses on these practices from different perspectives including the art, cultural and social sectors, thereby highlighting the emerging new types of artisan activity that preserve cultural elements while incorporating emerging technologies like social media.

This volume analyses artisan entrepreneurship using different approaches including at an individual, group and societal point of view providing a better understanding about how these handicraft workers contribute to societal wellbeing and aid cultural heritage preservation for future generations. Each chapter of this book looks at these practices in a different way, enabling the practical and theoretical significance of artisan entrepreneurship to emerge and presenting a holistic understanding of artisan entrepreneurship in different contextual settings.

Artisan Entrepreneurship provides a unique way in which to understand an important type of enterprise that has been neglected but recently had a resurgence. This book provides a fundamental contribution to the field of artisan entrepreneurship.

Nearly twenty years after it first became a bestselling how-to guide for eager new cooks and seasoned preservers alike, Artisanal Preserves is back with an updated edition, providing the latest guidelines for cooking and canning delicious jams, jellies, marmalades, and more.

For those new to the craft, chef Madelaine Bullwinkel includes a primer on the history and basic process of preserving. Experienced canners will appreciate exciting flavor combinations—such as Lime Zucchini Marmalade and Blackberry Ginger Preserves—as well as no-sugar jams and forty recipes for breads, muffins, and desserts that make good use of your new jams and jellies. Bullwinkel explains all the latest techniques for canning and sealing and has eliminated commercial pectin from all recipes, resulting in all-natural preserves sealed according to current USDA standards. 

Since the book’s original publication in 2005, the popularity of home preserving has continued to rise along with renewed interest in other old-fashioned craft cooking hobbies, such as brewing beer, pickling produce, and making sourdough starters.

Bullwinkel’s thorough teaching style and time-saving techniques make the preserving process surprisingly simple. Artisanal Preserves is the go-to primer for making elegant, delicious fruit preserves at home.

Au milieu du XXe siècle, soit au cours du passage de la société traditionnelle au monde contemporain, l’Ontario français a connu une rupture définitive dans son organisation sociale. C’est à ce moment que les Franco-Ontariens mettent sur pied un réseau unique de centres culturels, véritables foyers d’intégration d’une collectivité éclatée. Existe-t-il un lien entre ces deux phénomènes ? Pour répondre à cette question, Diane Farmer décrit les mécanismes de maintien et de transformation de l’identité franco-ontarienne en soulignant le rôle primordial du centre culturel dans ce processus. Elle analyse l’émergence et le fonctionnement de quatre centres culturels de l’Est et du Nord-Est, de même que la dynamique communautaire dans laquelle chacun inscrit son action. Cette étude lui permet de préciser les éléments qui assurent la cohésion du groupe et de cerner dans quelle mesure il y a création d’un espace francophone en Ontario.

Publié en français

This groundbreaking study explores the role of those involved in various aspects of the care, comfort and appearance of the body in seventeenth and early eighteenth-century Italy, bringing to light the strong cultural affinities and social ties between barber-surgeons and the apparently distant trades of jeweller, tailor, wigmaker and upholsterer.

Drawing on contemporary understandings of the body, the author shows that shared concerns about health and well-being permeated the professional cultures of these medical and non-medical occupations. At the same time the detailed analysis of the life-course, career patterns and family experience of ‘artisans of the body’ offers unprecedented insight into the world of the urban middling sorts.

The book will represent essential reading for scholars and students of gender, family and urban history in the early modern age, and will equally appeal to historians of the body and of the medical occupations.

This groundbreaking study explores the role of those involved in various aspects of the care, comfort and appearance of the body in seventeenth and early eighteenth-century Italy, bringing to light the strong cultural affinities and social ties between barber-surgeons and the apparently distant trades of jeweller, tailor, wigmaker and upholsterer.

Drawing on contemporary understandings of the body, the author shows that shared concerns about health and well-being permeated the professional cultures of these medical and non-medical occupations. At the same time the detailed analysis of the life-course, career patterns and family experience of ‘artisans of the body’ offers unprecedented insight into the world of the urban middling sorts.

The book will represent essential reading for scholars and students of gender, family and urban history in the early modern age, and will equally appeal to historians of the body and of the medical occupations.