The history of modern art is often told through aesthetic breakthroughs that sync well with cultural and political change. From Courbet to Picasso, from Malevich to Warhol, it is accepted that art tracks the disruptions of industrialization, fascism, revolution, and war. Yet filtering the history of modern art only through catastrophic events cannot account for the subtle developments that lead to the profound confusion at the heart of contemporary art. In Industry and Intelligence, the artist Liam Gillick writes a nuanced genealogy to help us appreciate contemporary art's engagement with history even when it seems apathetic or blind to current events. Taking a broad view of artistic creation from 1820 to today, Gillick follows the response of artists to incremental developments in science, politics, and technology. The great innovations and dislocations of the nineteenth and twentieth centuries have their place in this timeline, but their traces are alternately amplified and diminished as Gillick moves through artistic reactions to liberalism, mass manufacturing, psychology, nuclear physics, automobiles, and a host of other advances. He intimately ties the origins of contemporary art to the social and technological adjustments of modern life, which artists struggled to incorporate truthfully into their works.

Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT. Explores artificial intelligence applications within the industrial manufacturing and communications sectors Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions

Artificial Intelligence (AI) has augmented human activities and unlocked opportunities for many sectors of the economy. It is used for data management and analysis, decision making, and many other aspects. As with most rapidly advancing technologies, law is often playing a catch up role so the study of how law interacts with AI is more critical now than ever before. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry. Offering a unique focus on current practice and existing trends in a wide range of industries where AI plays an increasingly important role, the work contains legal and technical analysis performed by 15 researchers and practitioners from different institutions around the world to provide an overview of how AI is being used and regulated across a wide range of sectors, including aviation, energy, government, healthcare, legal, maritime, military, music, and others. It addresses the broad range of aspects, including privacy, liability, transparency, justice, and others, from the perspective of different jurisdictions. Including a discussion of the role of AI in industry during the Covid-19 pandemic, the chapters also offer a set of recommendations for optimal regulatory interventions. Therefore, this book will be of interest to academics, students and practitioners interested in technological and regulatory aspects of AI.

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.

The prize-winning book Organizational Intelligence focuses on the structural and ideological roots of intelligence (informational and analytical) failures in government, industry, and other institutions. It provides groundbreaking theory and structure to the analysis of decision-making processes and their breakdowns, as well as the interactions among experts and the organizations they inform. In this book, both "organization" and "intelligence" are taken to their larger meanings, not just focused on the military meaning of intelligence or on one set of institutions in society. Astute illustrations of intelligence failures abound from real-world cases, such as foreign policy (the Bay of Pigs, Soviet predictions in the Cuban missile crisis), military (civilian bombing of Germany, Pearl Harbor), financial (AmEx's investment in a vegetable oil guru), economics (the Council of Economic Advisers) and industrial production (Ford's Edsel), as well as many other telling arenas and disciplines. Economic, cultural, legal, and political contexts are considered, as well as the more known institutions of government and commerce. The new Classics of the Social Sciences edition from Quid Pro Books features a 2015 Foreword from Neil J. Smelser, University Professor Emeritus at Berkeley and former chair of its sociology department. He writes that the book remains "one of the classics in organizational studies, and—in ways I will indicate—it is still directly relevant to current and future problems of organizational life. ... What makes this book a classic? It is a disciplined, intelligent, and elegant model of applied social science. ... The text itself, richly documented empirically, yields an informed and balanced account of the decision-making process as this is shaped by the quality of information available (and unavailable) to and used (and not used) by organizational leaders." Reviews of the book at the time it was written similarly attest to the originality and breadth of its interdisciplinary analysis. Amitai Etzioni wrote in the American Sociological Review: "This book opens a whole new field — the macrosociology of knowledge. It is as different from the traditional sociology of knowledge as the study of interaction is from that of the structure of total societies." He adds, "The power of Wilensky's contribution is further magnified by his historical perspective. He studies structures and processes, but not in a vacuum." Gordon Craig wrote in The Reporter that the book's examples from organizations "show a similar tendency to believe what they want to believe, to become the victims of their own slogans and propaganda, and to resist or to silence warning voices that challenge their assumptions.... In his fascinating analysis of intelligence failures and their causes ... in the public and private sectors, Wilensky finds that the most disastrous miscalculations are those which have occurred in the field of governmental operations, especially foreign policy and national security." The book explains how such highly institutionalized actors are vulnerable to informational pathologies. The new digital edition features active Contents, a fully linked Index, linked notes, and proper ebook formatting. It is a modern, quality, and authorized re-presentation of a classic work in social science and organizational studies.

This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.

"This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.