David Farrugia – författare

Contemporary young people are situated within a complex and disorienting set of social changes that are reshaping how youth is constructed, governed and experienced across the globe. Historically, it has been taken for granted that youth primarily concerns time, especially with regards to personal and social development.In Spaces of Youth, Farrugia shows that the concept of developmental time has become a regulatory framework that is used to govern aspects of globalisation, including the formation of labour forces and the boundaries of liberal citizenship regimes. Interrogating this context, this volume explores the changes in the social organisation of youth within the spatial dimensions of work, citizenship and popular culture in a global context. Thus, Farrugia establishes a new interdisciplinary research agenda into youth and spatiality, including young people from across the global north and the global south, and which situates young people within the key dynamics of contemporary globalisation in its economic, political and cultural dimensions.An enlightening and timely volume, Spaces of Youth is an important resource for post-graduate and post-doctoral researchers across all social scientific disciplines interested in space, youth, globalisation, work, citizenship and culture.

Contemporary young people are situated within a complex and disorienting set of social changes that are reshaping how youth is constructed, governed and experienced across the globe. Historically, it has been taken for granted that youth primarily concerns time, especially with regards to personal and social development.In Spaces of Youth, Farrugia shows that the concept of developmental time has become a regulatory framework that is used to govern aspects of globalisation, including the formation of labour forces and the boundaries of liberal citizenship regimes. Interrogating this context, this volume explores the changes in the social organisation of youth within the spatial dimensions of work, citizenship and popular culture in a global context. Thus, Farrugia establishes a new interdisciplinary research agenda into youth and spatiality, including young people from across the global north and the global south, and which situates young people within the key dynamics of contemporary globalisation in its economic, political and cultural dimensions.An enlightening and timely volume, Spaces of Youth is an important resource for post-graduate and post-doctoral researchers across all social scientific disciplines interested in space, youth, globalisation, work, citizenship and culture.

Vibes as value explores the relationship between subjectivity, labour and value in the hospitality industry, and thereby how youth, gender, sexuality, race and social class are embodied and made productive in the service economy. It shows that the key product of hospitality labour is ‘vibes’, or moments of enjoyment and relationality co-produced through exploitative relationships amongst workers and consumers. In the process, the book theorises hospitality as a form of affective labour organised through the normative and structural relations of precarious service work. It shows how identity construction produces value within the highly unequal social terrain of the service economy, and how hospitality labour enacts hierarchies of value extending far beyond the limits of the industry itself.

In the past, youth has been seen as a transition into the labour market, but today young people’s identities are increasingly wrapped up in their value as workers.In this book, young people describe the meaning of work in their own words. Drawing on these narratives, the author reveals how their identities are intertwined with the dynamics of labour and value in post-Fordist capitalism and how social inequalities are manifested through the practices and ethics that young people draw upon to cultivate an economically productive self.Illuminating the rapidly changing social conditions that mould youth identities, this book represents a paradigm shift in our understanding of youth and work.

In the past, youth has been seen as a transition into the labour market, but today young people’s identities are increasingly wrapped up in their value as workers.In this book, young people describe the meaning of work in their own words. Drawing on these narratives, the author reveals how their identities are intertwined with the dynamics of labour and value in post-Fordist capitalism and how social inequalities are manifested through the practices and ethics that young people draw upon to cultivate an economically productive self.Illuminating the rapidly changing social conditions that mould youth identities, this book represents a paradigm shift in our understanding of youth and work.

This interdisciplinary collection charts the experiences of young people in places of spatial marginality around the world, dismantling the privileging of urban youth, urban locations and urban ways of life in youth studies and beyond.Expert authors investigate different dimensions of spatiality including citizenship, materiality and belonging, and develop new understandings of the complex relationships between place, history, politics and education. From Australia to India, Myanmar to Sweden, and the UK to Central America, international examples from both the Global South and North help to illuminate wider issues of intergenerational change, social mobility and identity.By exploring young lives beyond the city, this book establishes different ways of thinking from a position of spatial marginality.Chapter 10 is available Open Access under CC-BY-NC-ND licence

Visualize and build deep learning models with 3D data using PyTorch3D and other Python frameworks to conquer real-world application challenges with easeKey FeaturesUnderstand 3D data processing with rendering, PyTorch optimization, and heterogeneous batchingImplement differentiable rendering concepts with practical examplesDiscover how you can ease your work with the latest 3D deep learning techniques using PyTorch3DBook DescriptionWith this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time.Complete with step-by-step explanations of essential concepts and practical examples, this book lets you explore and gain a thorough understanding of state-of-the-art 3D deep learning. You’ll see how to use PyTorch3D for basic 3D mesh and point cloud data processing, including loading and saving ply and obj files, projecting 3D points into camera coordination using perspective camera models or orthographic camera models, rendering point clouds and meshes to images, and much more. As you implement some of the latest 3D deep learning algorithms, such as differential rendering, Nerf, synsin, and mesh RCNN, you’ll realize how coding for these deep learning models becomes easier using the PyTorch3D library.By the end of this deep learning book, you’ll be ready to implement your own 3D deep learning models confidently.What you will learnDevelop 3D computer vision models for interacting with the environmentGet to grips with 3D data handling with point clouds, meshes, ply, and obj file formatWork with 3D geometry, camera models, and coordination and convert between themUnderstand concepts of rendering, shading, and more with easeImplement differential rendering for many 3D deep learning modelsAdvanced state-of-the-art 3D deep learning models like Nerf, synsin, mesh RCNNWho this book is forThis book is for beginner to intermediate-level machine learning practitioners, data scientists, ML engineers, and DL engineers who are looking to become well-versed with computer vision techniques using 3D data.

Explore the inner workings of AI along with its limitations and future developments and create your first transparent and trustworthy neuro-symbolic AI systemPurchase of the print or Kindle book includes a free PDF eBookKey FeaturesUnderstand symbolic and statistical techniques through examples and detailed explanationsExplore the potential of neuro-symbolic AI for future developments using case studiesDiscover the benefits of combining symbolic AI with modern neural networks to build transparent and high-performance AI solutionsBook DescriptionNeuro-symbolic AI offers the potential to create intelligent systems that possess both the reasoning capabilities of symbolic AI along with the learning capabilities of neural networks. This book provides an overview of AI and its inner mechanics, covering both symbolic and neural network approaches.You’ll begin by exploring the decline of symbolic AI and the recent neural network revolution, as well as their limitations. The book then delves into the importance of building trustworthy and transparent AI solutions using explainable AI techniques. As you advance, you’ll explore the emerging field of neuro-symbolic AI, which combines symbolic AI and modern neural networks to improve performance and transparency. You’ll also learn how to get started with neuro-symbolic AI using Python with the help of practical examples. In addition, the book covers the most promising technologies in the field, providing insights into the future of AI.Upon completing this book, you will acquire a profound comprehension of neuro-symbolic AI and its practical implications. Additionally, you will cultivate the essential abilities to conceptualize, design, and execute neuro-symbolic AI solutions.What you will learnGain an understanding of the intuition behind neuro-symbolic AIDetermine the correct uses that can benefit from neuro-symbolic AIDifferentiate between types of explainable AI techniquesThink about, design, and implement neuro-symbolic AI solutionsCreate and fine-tune your first neuro-symbolic AI systemExplore the advantages of fusing symbolic AI with modern neural networks in neuro-symbolic AI systemsWho this book is forThis book is ideal for data scientists, machine learning engineers, and AI enthusiasts who want to explore the emerging field of neuro-symbolic AI and discover how to build transparent and trustworthy AI solutions. A basic understanding of AI concepts and familiarity with Python programming are needed to make the most of this book.

This book explores the identities, embodied experiences, and personal relationships of young people experiencing homelessness, and analyses these in relation to the material and symbolic position that youth homelessness occupies in modern societies. Drawing on empirical research conducted in both urban and rural areas, the book situates young people’s experiences of homelessness within a theoretical framework that connects embodied identities and relationships with processes of social change. The book theorises a ‘symbolic economy of youth homelessness’ that encompasses the subjective, aesthetic, and relational dimensions of homelessness. This theory shows the personal, interpersonal and affective suffering that is caused by the relations of power and privilege that produce contemporary youth homelessness. The book is unique in the way in which it places youth homelessness within the wider contexts of inequality, and social change. Whilst contemporary discussions of youth homelessness understand the topic as a discrete ‘social problem’, this book demonstrates the position that youth homelessness occupies within wider social processes, inequalities, and theoretical debates, addressing theories of social change in late modernity and their relationship to the cultural construction of youth. These theoretical debates are made concrete by means of an exploration of an important form of contemporary inequality: youth homelessness.