Few technologies in recent years have attracted as much scientific, media and public attention as Virtual Reality. By providing a profoundly new paradigm for human-computer interaction, it is fundamentally changing the way people use and think about computers. Despite being in its infancy, Virtual Reality has found applications in such varied fields as entertainment, interactive arts, medicine, architecture, security, education, and financial analysis.The articles collected here were selected after thorough review and describe the state-of-the-art in Virtual Reality software and technology. Included are the latest results in software architectures, interaction techniques and devices, modeling techniques, and applications.
This book contains the written contributions to the program of the First In ternational Conference on Computer Vision, Virtual Reality, and Robotics in Medicine (CVRMed'95) held in Nice during the period April 3-6, 1995. The articles are regrouped into a number of thematic sessions which cover the three major topics of the field: medical image understanding, registration problems in medicine, and therapy planning, simulation and control. The objective of the conference is not only to present the most innovative and promising research work but also to highlight research trends and to foster dialogues and debates among participants. This event was decided after a preliminary successful symposium organized in Stanford in March 1994 by E. Grimson (MIT), T. Kanade (CMU), R. Kikinis and W. Wells (Chair) (both at Harvard Medical School and Brigham and Women's Hospital), and myself (INRIA). We received 92 submitted full papers, and each one was evaluated by at least three members of the Program Committee, with the help of auxiliary reviewers. Based on these evaluations, a representative subset of the Program Committee met to select 19 long papers, 29 regular papers, and 27 posters. The geographical repartition of the contributions is the following: 24 from European countries (other than France), 23 contributions from France, 20 from Northern America (USA and Canada), and 8 from Asia (Japan and Singapore).
This important report, Global Trends 2030-Alternative Worlds, released in 2012 by the U.S. National Intelligence Council, describes megatrends and potential game changers for the next decades. Among the megatrends, it analyzes: - increased individual empowerment - the diffusion of power among states and the ascent of a networked multi-polar world - a world's population growing to 8.3 billion people, of which sixty percent will live in urbanized areas, and surging cross-border migration - expanding demand for food, water, and energy It furthermore describes potential game changers, including: - a global economy that could thrive or collapse - increased global insecurity due to regional instability in the Middle East and South Asia - new technologies that could solve the problems caused by the megatrends - the possibility, but by no means the certainty, that the U.S. with new partners will reinvent the international system Students of trends, forward-looking entrepreneurs, academics, journalists and anyone eager for a glimpse into the next decades will find this essential reading.
This report is intended to stimulate thinking about the rapid and vast geopolitical changes characterizing the world today and possible global trajectories over the next 15 years. As with the NIC's previous Global Trends reports, we do not seek to predict the future, which would be an impossible feat, but instead provide a framework for thinking about possible futures and their implications. In-depth research, detailed modeling and a variety of analytical tools drawn from public, private and academic sources were employed in the production of Global Trends 2030. NIC leadership engaged with experts in nearly 20 countries, from think tanks, banks, government offices and business groups, to solicit reviews of the report.
“Bruce Schneier’s amazing book is the best overview of privacy and security ever written.”—Clay Shirky Your cell phone provider tracks your location and knows who’s with you. Your online and in-store purchasing patterns are recorded, and reveal if you're unemployed, sick, or pregnant. Your e-mails and texts expose your intimate and casual friends. Google knows what you’re thinking because it saves your private searches. Facebook can determine your sexual orientation without you ever mentioning it. The powers that surveil us do more than simply store this information. Corporations use surveillance to manipulate not only the news articles and advertisements we each see, but also the prices we’re offered. Governments use surveillance to discriminate, censor, chill free speech, and put people in danger worldwide. And both sides share this information with each other or, even worse, lose it to cybercriminals in huge data breaches. Much of this is voluntary: we cooperate with corporate surveillance because it promises us convenience, and we submit to government surveillance because it promises us protection. The result is a mass surveillance society of our own making. But have we given up more than we’ve gained? In Data and Goliath, security expert Bruce Schneier offers another path, one that values both security and privacy. He brings his bestseller up-to-date with a new preface covering the latest developments, and then shows us exactly what we can do to reform government surveillance programs, shake up surveillance-based business models, and protect our individual privacy. You'll never look at your phone, your computer, your credit cards, or even your car in the same way again.
This book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2020, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.
