The Economics of Artificial Intelligence

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Publisher : University of Chicago Press
ISBN 13 : 0226833127
Total Pages : 172 pages
Book Rating : 4.25/5 ( download)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

INTELLIGENT AUTOMATION

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Publisher :
ISBN 13 : 9811235848
Total Pages : 431 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis INTELLIGENT AUTOMATION by : PASCAL. BARKIN BORNET (IAN. WIRTZ, JOCHEN.)

Download or read book INTELLIGENT AUTOMATION written by PASCAL. BARKIN BORNET (IAN. WIRTZ, JOCHEN.) and published by . This book was released on 2020 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Industrial Decision Making, Control and Automation

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9401103054
Total Pages : 778 pages
Book Rating : 4.53/5 ( download)

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Book Synopsis Artificial Intelligence in Industrial Decision Making, Control and Automation by : S.G. Tzafestas

Download or read book Artificial Intelligence in Industrial Decision Making, Control and Automation written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.

Artificial Intelligence, Automation and the Future of Competence at Work

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Publisher : Routledge
ISBN 13 : 9780367640477
Total Pages : 0 pages
Book Rating : 4.73/5 ( download)

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Book Synopsis Artificial Intelligence, Automation and the Future of Competence at Work by : JON-ARILD. JOHANNESSEN

Download or read book Artificial Intelligence, Automation and the Future of Competence at Work written by JON-ARILD. JOHANNESSEN and published by Routledge. This book was released on 2022-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a unique and holistic perspective on the future of work in the context of industry 4.0. It discusses the globalization of capital markets; how artificial intelligence can help organizations to be more competitive; and the new role of leadership in this technological landscape.

The Future of Work

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Publisher : Brookings Institution Press
ISBN 13 : 0815732945
Total Pages : 223 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis The Future of Work by : Darrell M. West

Download or read book The Future of Work written by Darrell M. West and published by Brookings Institution Press. This book was released on 2018-05-15 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the "job" no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today.

Artificial Intelligence And Automation

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Publisher : World Scientific
ISBN 13 : 981449903X
Total Pages : 545 pages
Book Rating : 4.33/5 ( download)

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Book Synopsis Artificial Intelligence And Automation by : Nikolas G Bourbakis

Download or read book Artificial Intelligence And Automation written by Nikolas G Bourbakis and published by World Scientific. This book was released on 1998-05-05 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents:A New Way to Acquire Knowledge (H-Y Wang)An SPN Knowledge Representation Scheme (J Gattiker & N Bourbakis)On the Deep Structures of Word Problems and Their Construction (F Gomez)Resolving Conflicts in Inheritance Reasoning with Statistical Approach (C W Lee)Integrating High and Low Level Computer Vision for Scene Understanding (R Malik & S So)The Evolution of Commercial AI Tools: The First Decade (F Hayes-Roth)Reengineering: The AI Generation — Billions on the Table (J S Minor Jr)An Intelligent Tool for Discovering Data Dependencies in Relational DBS (P Gavaskar & F Golshani)A Case-Based Reasoning (CBR) Tool to Assist Traffic Flow (B Das & S Bayles)A Study of Financial Expert System Based on Flops (T Kaneko & K Takenaka)An Associative Data Parallel Compilation Model for Tight Integration of High Performance Knowledge Retrieval and Computation (A K Bansal)Software Automation: From Silly to Intelligent (J-F Xu et al.)Software Engineering Using Artificial Intelligence: The Knowledge Based Software Assistant (D White)Knowledge Based Derivation of Programs from Specifications (T Weight et al.)Automatic Functional Model Generation for Parallel Fault Design Error Simulations (S-E Chang & S A Szygenda)Visual Reverse Engineering Using SPNs for Automated Diagnosis and Functional Simulation of Digital Circuits (J Gattiker & S Mertoguno)The Impact of AI in VLSI Design Automation (M Mortazavi & N Bourbakis)The Automated Acquisition of Subcategorizations of Verbs, Nouns and Adjectives from Sample Sentences (F Gomez)General Method for Planning and Rendezvous Problems (K I Trovato)Learning to Improve Path Planning Performance (P C Chen)Incremental Adaptation as a Method to Improve Reactive Behavior (A J Hendriks & D M Lyons)An SPN-Neural Planning Methodology for Coordination of Multiple Robotic Arms with Constrained Placement (N Bourbakis & A Tascillo) Readership: Computer scientists, artificial intelligence practitioners and robotics users. keywords:

Automation and Autonomy

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Publisher : Springer Nature
ISBN 13 : 3030716899
Total Pages : 259 pages
Book Rating : 4.99/5 ( download)

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Book Synopsis Automation and Autonomy by : James Steinhoff

Download or read book Automation and Autonomy written by James Steinhoff and published by Springer Nature. This book was released on 2021-06-21 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book argues that Marxist theory is essential for understanding the contemporary industrialization of the form of artificial intelligence (AI) called machine learning. It includes a political economic history of AI, tracking how it went from a fringe research interest for a handful of scientists in the 1950s to a centerpiece of cybernetic capital fifty years later. It also includes a political economic study of the scale, scope and dynamics of the contemporary AI industry as well as a labour process analysis of commercial machine learning software production, based on interviews with workers and management in AI companies around the world, ranging from tiny startups to giant technology firms. On the basis of this study, Steinhoff develops a Marxist analysis to argue that the popular theory of immaterial labour, which holds that information technologies increase the autonomy of workers from capital, tending towards a post-capitalist economy, does not adequately describe the situation of high-tech digital labour today. In the AI industry, digital labour remains firmly under the control of capital. Steinhoff argues that theories discerning therein an emergent autonomy of labour are in fact witnessing labour’s increasing automation.

Automated Machine Learning

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Publisher : Springer
ISBN 13 : 3030053180
Total Pages : 223 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Automated Machine Learning by : Frank Hutter

Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Augmented Exploitation

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Publisher :
ISBN 13 : 9780745343501
Total Pages : 176 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis Augmented Exploitation by : Phoebe V. Moore

Download or read book Augmented Exploitation written by Phoebe V. Moore and published by . This book was released on 2021-03 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence should be changing society, not reinforcing capitalist notions of work

Handbook of Artificial Intelligence and Robotic Process Automation

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Publisher : Anthem Press
ISBN 13 : 1785274961
Total Pages : 180 pages
Book Rating : 4.61/5 ( download)

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Book Synopsis Handbook of Artificial Intelligence and Robotic Process Automation by : Al Naqvi

Download or read book Handbook of Artificial Intelligence and Robotic Process Automation written by Al Naqvi and published by Anthem Press. This book was released on 2020-11-27 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: President Putin’s explicit declaration that the country that makes progress in artificial intelligence will rule the world has launched a new race for dominance. In this era of cognitive competition and total automation, every country understands that it must rapidly adopt AI or go bust. To stay competitive a country must have a strategy. But how should a government proceed? What areas it must focus on? Where should it even start? This book provides answers to these important, yet pertinent, questions and more. Presenting the viewpoints of global experts and thought leaders on key issues relating to AI and government policies, this book directs us to the future.