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World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.
The United States patent system has become sand rather than lubricant in the wheels of American progress. Such is the premise behind this provocative and timely book by two of the nation's leading experts on patents and economic innovation. Innovation and Its Discontents tells the story of how recent changes in patenting--an institutional process that was created to nurture innovation--have wreaked havoc on innovators, businesses, and economic productivity. Jaffe and Lerner, who have spent the past two decades studying the patent system, show how legal changes initiated in the 1980s converted the system from a stimulator of innovation to a creator of litigation and uncertainty that threatens the innovation process itself. In one telling vignette, Jaffe and Lerner cite a patent litigation campaign brought by a a semi-conductor chip designer that claims control of an entire category of computer memory chips. The firm's claims are based on a modest 15-year old invention, whose scope and influenced were broadened by secretly manipulating an industry-wide cooperative standard-setting body. Such cases are largely the result of two changes in the patent climate, Jaffe and Lerner contend. First, new laws have made it easier for businesses and inventors to secure patents on products of all kinds, and second, the laws have tilted the table to favor patent holders, no matter how tenuous their claims. After analyzing the economic incentives created by the current policies, Jaffe and Lerner suggest a three-pronged solution for restoring the patent system: create incentives to motivate parties who have information about the novelty of a patent; provide multiple levels of patent review; and replace juries with judges and special masters to preside over certain aspects of infringement cases. Well-argued and engagingly written, Innovation and Its Discontents offers a fresh approach for enhancing both the nation's creativity and its economic growth.
The future security, economic growth, and competitiveness of the United States depend on its capacity to innovate. Major sources of innovative capacity are the new knowledge and trained students generated by U.S. research universities. However, many of the complex technical and societal problems the United States faces cannot be addressed by the traditional model of individual university research groups headed by a single principal investigator. Instead, they can only be solved if researchers from multiple institutions and with diverse expertise combine their efforts. The National Science Foundation (NSF), among other federal agencies, began to explore the potential of such center-scale research programs in the 1970s and 1980s; in many ways, the NSF Engineering Research Center (ERC) program is its flagship program in this regard. The ERCs are "interdisciplinary, multi-institutional centers that join academia, industry, and government in partnership to produce transformational engineered systems and engineering graduates who are adept at innovation and primed for leadership in the global economy. To ensure that the ERCs continue to be a source of innovation, economic development, and educational excellence, A New Vision for Center-Based Engineering Research explores the future of center-based engineering research, the skills needed for effective center leadership, and opportunities to enhance engineering education through the centers.
The Industrial Revolution remains a defining moment in the economic history of the modern world. But what kind and how much of a revolution was it? And what kind of ?moment? could it have been? These are just some of the larger questions among the many that economic historians continue to debate. Addressing the various interpretations and assumptions that have been attached to the concept of the Industrial Revolution, Joel Mokyr and his four distinguished contributors present and defend their views on essential aspects of the Industrial Revolution. In this revised edition, all chapters?including Mokyr's extensive introductory survey and evaluation of research in this field?are updated to consider arguments and findings advanced since the volume's initial 1993 publication. Like its predecessor, the revised edition of The British Industrial Revolution is an essential book for economic historians and, indeed, for any historian of Great Britain in the eighteenth and nineteenth centuries.
This book presents unique insights and advice on defining and managing the innovation transformation journey. Using novel ideas, examples and best practices, it empowers management executives at all levels to drive cultural, technological and organizational changes toward innovation. Covering modern innovation techniques, tools, programs and strategies, it focuses on the role of the latest technologies (e.g., artificial intelligence to discover, handle and manage ideas), methodologies (including Agile Engineering and Rapid Prototyping) and combinations of these (like hackathons or gamification). At the same time, it highlights the importance of culture and provides suggestions on how to build it. In the era of AI and the unprecedented pace of technology evolution, companies need to become truly innovative in order to survive. The transformation toward an innovation-led company is difficult – it requires a strong leadership and culture, advanced technologies and well-designed programs. The book is based on the author’s long-term experience and novel ideas, and reflects two decades of startup, consulting and corporate leadership experience. It is intended for business, technology, and innovation leaders.
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.
The big stories -- The skills of the new machines : technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation : declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners : stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines : recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future").