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The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.
The U.S. Intelligence Community continues to adjust to the 21st Century environment. In the post-Cold War world, terrorism, narcotics trafficking and related money laundering is perceived both as criminal matters and as threats to the nation's security. Priority continues to be placed on intelligence support to military operations and on involvement in efforts to combat transnational threats, especially international terrorism. Growing concerns about transnational threats are leading to increasingly close co-operation between intelligence and law enforcement agencies. This book presents new in-depth analyses of developments in the field.
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 ongoing COVID-19 pandemic marks the most significant, singular global disruption since World War II, with health, economic, political, and security implications that will ripple for years to come." -Global Trends 2040 (2021) Global Trends 2040-A More Contested World (2021), released by the US National Intelligence Council, is the latest report in its series of reports starting in 1997 about megatrends and the world's future. This report, strongly influenced by the COVID-19 pandemic, paints a bleak picture of the future and describes a contested, fragmented and turbulent world. It specifically discusses the four main trends that will shape tomorrow's world: - Demographics-by 2040, 1.4 billion people will be added mostly in Africa and South Asia. - Economics-increased government debt and concentrated economic power will escalate problems for the poor and middleclass. - Climate-a hotter world will increase water, food, and health insecurity. - Technology-the emergence of new technologies could both solve and cause problems for human life. Students of trends, policymakers, entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades, will find this report, with colored graphs, essential reading.
For a period of some fifteen years following completion of my internship training in clinical psychology (1950-1951) at the Washington University School of Medicine and my concurrent successful navigation through that school's neuroanatomy course, clinical work in neuropsychology for me and the psychologists of my generation consisted almost exclusively of our trying to help our physician colleagues differentiate patients with neurologic disorders from those with psychiatric disorders. In time, experience led all of us from the several disciplines involved in this enterprise to the conclusion that the crude diagnostic techniques available to us circa 1945-1965 had garnered little valid information on which to base such complex, differential diagnostic decisions. It now is gratifying to look back and review the remarkable progress that has occurred in the field of clinical neuropsychology in the four decades since I was a graduate student. In the late 1940s such pioneers as Ward Halstead, Alexander Luria, George Yacorzynski, Hans-Lukas Teuber, and Arthur Benton already were involved in clinical studies that, by the late 1960s, would markedly have improved the quality of clinical practice. However, the only psychological tests that the clinical psychologist of my immediate post Second Wodd War generation had as aids for the diagnosis of neurologically based conditions involving cognitive deficit were such old standbys as the Wechsler-Bellevue, Rorschach, Draw A Person, Bender Gestalt, and Graham Kendall Memory for Designs Test.
Extreme intelligence is strongly correlated with the highest of human achievement, but also, paradoxically, with higher relationship conflict, career difficulty, mental illness, and high-IQ crime. Increased intelligence does not necessarily increase success; it should be considered as a minority special need that requires nurturing. This book explores the social development and predicaments of those who possess extreme intelligence, and the consequent personal and professional implications for them. It uniquely integrates insights and knowledge from the research fields of intelligence, giftedness, genius, and expertise with those from depth psychology, emphasising the importance of finding ways to talk effectively about extreme intelligence, and how it can better be supported and embraced. The author supports her arguments throughout, reviewing the academic literature alongside representations of genius in history, fiction, and the media, and draws on her own first-hand research interviews and consulting work with multinational high-IQ adults. This book is essential reading for anyone supporting or working with the highly gifted, as well as those researching or interested by the field of intelligence.
The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. Traditionally, Intelligence and Security Informatics (ISI) research and applications have focused on information sharing and data mining, social network analysis, infrastructure protection and emergency responses for security informatics. With the continuous advance of IT technologies and the increasing sophistication of national and international security, in recent years, new directions in ISI research and applications have emerged to address complicated problems with advanced technologies. This book provides a comprehensive and interdisciplinary account of the new advances in ISI area along three fundamental dimensions: methodological issues in security informatics; new technological developments to support security-related modeling, detection, analysis and prediction; and applications and integration in interdisciplinary socio-cultural fields. - Identifies emerging directions in ISI research and applications that address the research challenges with advanced technologies - Provides an integrated account of the new advances in ISI field in three core aspects: methodology, technological developments and applications - Benefits researchers as well as security professionals who are involved in cutting-edge research and applications in security informatics and related fields
Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.
This volume discusses the challenges the future holds for different aspects of the intelligence process and for organisations working in the field. The main focus of Western intelligence services is no longer on the intentions and capabilities of the Soviet Union and its allies. Instead, at present, there is a plethora of threats and problems that deserve attention. Some of these problems are short-term and potentially acute, such as terrorism. Others, such as the exhaustion of natural resources, are longer-term and by nature often more difficult to foresee in their implications. This book analyses the different activities that make up the intelligence process, or the ‘intelligence cycle’, with a focus on changes brought about by external developments in the international arena, such as technology and security threats. Drawing together a range of key thinkers in the field, The Future of Intelligence examines possible scenarios for future developments, including estimations about their plausibility, and the possible consequences for the functioning of intelligence and security services. This book will be of much interest to students of intelligence studies, strategic studies, foreign policy, security studies and IR in general.
This book presents seminal readings from existing literature alongside specially commissioned, critical vignettes from leading thinkers with interests in sustainable development and learning. The book sets out to inform readers about the many perspectives that exist, and to challenge assumptions they may have about both sustainable development and learning. Through the readings and vignettes, the book raises wide-ranging issues of how we choose to act. Following the format of its companion volume, Sustainable Development and Learning: framing the issues, the book builds on existing work across a number of fields as well as on original international research. Key Issues in Sustainable Development and Learning: a critical review is a major resource for anyone studying for masters degrees focusing on environment and sustainable development. It is also a valuable tool for professionals in both public and private sector who are dealing with these issues daily. Bill and Steve's book for Routledge, Sustainable Development and Learning: framing the issues is one of the academic sources cited by the United Nations in its draft international implementation scheme for the Decade of Education for Sustainable Development (which was launched by Kofi Annan last month).