Download Industry And Intelligence full books in PDF, epub, and Kindle. Read online Industry And Intelligence ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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.
Book Synopsis Industry and Intelligence by : Liam Gillick
Download or read book Industry and Intelligence written by Liam Gillick and published by Columbia University Press. This book was released on 2016-03-15 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Artificial Intelligence and Industry 4.0 by : Aboul Ella Hassanien
Download or read book Artificial Intelligence and Industry 4.0 written by Aboul Ella Hassanien and published by Academic Press. This book was released on 2022-08-14 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
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.
Book Synopsis Artificial Intelligence in Industry 4.0 by : Alexiei Dingli
Download or read book Artificial Intelligence in Industry 4.0 written by Alexiei Dingli and published by Springer Nature. This book was released on 2021-02-27 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Regulating Artificial Intelligence in Industry by : Damian M. Bielicki
Download or read book Regulating Artificial Intelligence in Industry written by Damian M. Bielicki and published by Routledge. This book was released on 2021-12-24 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Industrial Intelligence by : Justin Smith
Download or read book Industrial Intelligence written by Justin Smith and published by . This book was released on 2021-04-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Organizational Intelligence by : Harold L. Wilensky
Download or read book Organizational Intelligence written by Harold L. Wilensky and published by Quid Pro Books. This book was released on 2015-02-14 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Artificial Intelligence in Industrial Applications by : Steven Lawrence Fernandes
Download or read book Artificial Intelligence in Industrial Applications written by Steven Lawrence Fernandes and published by Springer Nature. This book was released on 2021-12-07 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.
Book Synopsis Computational Sciences and Artificial Intelligence in Industry by : Tero Tuovinen
Download or read book Computational Sciences and Artificial Intelligence in Industry written by Tero Tuovinen and published by Springer Nature. This book was released on 2021-08-19 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.
Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.
Book Synopsis The AI-Powered Enterprise by : Seth Earley
Download or read book The AI-Powered Enterprise written by Seth Earley and published by LifeTree Media. This book was released on 2020-04-28 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
Book Synopsis Machine Learning in Industry by : Shubhabrata Datta
Download or read book Machine Learning in Industry written by Shubhabrata Datta and published by Springer Nature. This book was released on 2021-07-24 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.
