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Author: Luz Ascarate Publisher: Rowman & Littlefield ISBN: 1666914908 Category : Philosophy Languages : en Pages : 161
Book Description
Generative Worlds. New Phenomenological Perspectives on Space and Time accounts for the phenomenological concept of generativity. In doing so, this book brings together several recent phenomenological studies on space and time. Generative studies in phenomenology propose new ways of conceiving space, time, and the relation between them. Edited by Luz Ascarate and Quentin Gailhac, the collection reveals new dimensions to topics such as the generation of life, birth, historicity, intersubjectivity, narrativity, institution, touching, and places, and in some cases, the contributors invert the classical definitions of space and time. These transformative readings are fruitful for the interdisciplinary exchange between philosophy and fields such as cosmology, psychology, and the social sciences. The contributors ask if phenomenology reaches its own concreteness through the study of generation and whether it manages to redefine certain dimensions of space and time which, in other orientations of the Husserlian method, remain too abstract and detached from the constitutive becoming of experience.
Author: Luz Ascarate Publisher: Rowman & Littlefield ISBN: 1666914908 Category : Philosophy Languages : en Pages : 161
Book Description
Generative Worlds. New Phenomenological Perspectives on Space and Time accounts for the phenomenological concept of generativity. In doing so, this book brings together several recent phenomenological studies on space and time. Generative studies in phenomenology propose new ways of conceiving space, time, and the relation between them. Edited by Luz Ascarate and Quentin Gailhac, the collection reveals new dimensions to topics such as the generation of life, birth, historicity, intersubjectivity, narrativity, institution, touching, and places, and in some cases, the contributors invert the classical definitions of space and time. These transformative readings are fruitful for the interdisciplinary exchange between philosophy and fields such as cosmology, psychology, and the social sciences. The contributors ask if phenomenology reaches its own concreteness through the study of generation and whether it manages to redefine certain dimensions of space and time which, in other orientations of the Husserlian method, remain too abstract and detached from the constitutive becoming of experience.
Author: Ton Jörg Publisher: Springer Nature ISBN: 3030904091 Category : Science Languages : en Pages : 133
Book Description
This book introduces a refreshing approach to twenty-first-century scientific approach in an age, which is also known as the Century of Complexity. It deals with the deep problem of complexity, being operative from the bottom-up. The current lack of understanding of complexity has led scholars into the so-called embarrassment of complexity. A long overdue paradigm shift is necessary to address complexity as generative complexity and brings readers to the edge of a scientific revolution: that is, a generative revolution in the Century of Complexity. The book offers a radical shift of paradigm from the paradigm of simplifying into the new generative paradigm of complexifying about processes that develop from the bottom-up. The book links complex generative reality with a corresponding radical new generative nature of order and explores new fronts in science. This book explores innovative concepts of interaction, of causality, of the unit of study, and of reality itself and enables readers to see complexity as generative, emergent complexity as being operative from the bottom-up. The book discusses and suggests solutions for the problem of complexity in this Century of Complexity. The author provides a new understanding of complexity based on a generative flux of forces and relations. The book aims to bring about a fundamental and foundational change in how we view and ‘do’ science for an interdisciplinary audience of academics ranging from social science and humanities to economy and biology.
Author: Brian Christian Publisher: W. W. Norton & Company ISBN: 039363583X Category : Science Languages : en Pages : 459
Book Description
A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.
Author: Woody Evans Publisher: Elsevier ISBN: 1780632746 Category : Computers Languages : en Pages : 217
Book Description
Presents a broad examination of the nature of virtual worlds and the potential they provide in managing and expressing information practices through that medium, grounding information professionals and students of new media in the fundamental elements of virtual worlds and online gaming. The book details the practical issues in finding and using information in virtual environments and presents a general theory of librarianship as it relates to virtual gaming worlds. It is encompassed by a set of best practice methods that libraries can effectively execute in their own environments, meeting the needs of this new generation of library user, and explores ways in which information literacy can be approached in virtual worlds. Final chapters examine how conventional information evaluation skills work falls short in virtual worlds online. - Maps out areas of good practice and technique for information professionals and librarians serving in virtual communities - Provides a clear foundation with appropriate theory for understanding information in virtual worlds - Treats virtual worlds as 'real environments' and observes the behaviour of actors within them
Author: Bernard Marr Publisher: John Wiley & Sons ISBN: 1394254245 Category : Business & Economics Languages : en Pages : 313
Book Description
An indispensable look at the next frontier of technological advancement and its impact on our world Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society. Professionals, technophiles, and anyone with an interest in the future will need to understand how GenAI is set to redefine jobs, revolutionize business, and question the foundations everything we do. In this book, Marr sheds light on the most innovative real-world GenAI applications through practical examples, describing how they are moulding industries like retail, healthcare, education, finance, and beyond. You'll enjoy a captivating discussion of innovations in media and entertainment, seismic shifts in advertising, and the future trajectory of GenAI. You will: Navigate the complex landscapes of risks and challenges posed by Generative AI Delve into the revolutionary transformation of the job market in the age of GenAI Understand AI's transformative impact on education, healthcare, and retail Explore the boundless potentials in media, design, banking, coding, and even the legal arena Ideal for professionals, technophiles, and anyone eager to understand the next big thing in technology, Generative AI In Practice will equip readers with insights on how to implement GenAI, how GenAI is different to traditional AI, and a comprehensive list of generative AI tools available today.
Author: David Foster Publisher: "O'Reilly Media, Inc." ISBN: 1492041890 Category : Computers Languages : en Pages : 360
Book Description
Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
Author: Luz Ascarate
Author: Luz Ascarate
Author: Ton Jörg
Author: Brian Christian
Author: Woody Evans
Author: De Robigne Mortimer Bennett
Author: Bernard Marr
Author: David Foster
Author: Mikinosuke Miyajima
Author: George Thomas Bettany
Author: Helen Wheeler Bassett