With the rapid evolution of cyberspace, computing, communications and sensing technologies, organizations and individuals rely more and more on new applications such as fog and cloud computing, smart cities, Internet of Things (IoT), collaborative computing, and virtual and mixed reality environments. Maintaining their security, trustworthiness and resilience to cyber-attacks has become crucial which requires innovative and creative cyber security and resiliency solutions. Computing algorithms have been developed to mimic the operation of natural processes, phenomena and organisms such as artificial neural networks, swarm intelligence, deep learning systems, biomimicry, and more. The amazing characteristics of these systems offer a plethora of novel methodologies and opportunities to cope with emerging cyber challenges.

We have witnessed an explosion of research activity around nature-inspired computing and bio-inspired optimization techniques, which can provide powerful tools for solving learning problems and data analysis in very large data sets. To design and implement optimization algorithms, several methods are used that bring superior performance. However, in some applications, the search space increases exponentially with the problem size. To overcome these limitations and to solve efficiently large scale combinatorial and highly nonlinear optimization problems, more flexible and adaptable algorithms are necessary.

With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities frameworks, current network classification and analysis techniques are falling short. Novel approaches using machine learning algorithms are needed to cope with and manage real-world network traffic, including supervised, semi-supervised, and unsupervised classification techniques. Accurate and effective classification of network traffic will lead to better quality of service and more secure and manageable networks.

Neural networks are an exciting technology of growing importance in real industrial situations, particularly in control and systems. This book aims to give a detailed appreciation of the use of neural nets in these applications; it is aimed particularly at those with a control or systems background who wish to gain an insight into the technology in the context of real applications.

“Essential reading for all who have a vested interest in the rise of AI.” —Daryl Li, AI & Society

“Thought-provoking…Explores how we can best try to ensure that robots work for us, rather than against us, and proposes a new set of laws to provide a conceptual framework for our thinking on the subject.” —Financial Times

“Pasquale calls for a society-wide reengineering of policy, politics, economics, and labor relations to set technology on a more regulated and egalitarian path…Makes a good case for injecting more bureaucracy into our techno-dreams, if we really want to make the world a better place.” —Wired

“Pasquale is one of the leading voices on the uneven and often unfair consequences of AI in our society...Every policymaker should read this book and seek his counsel.” —Safiya Noble, author of Algorithms of Oppression

Too many CEOs tell a simple story about the future of work: if a machine can do what you do, your job will be automated, and you will be replaced. They envision everyone from doctors to soldiers rendered superfluous by ever-more-powerful AI.

Another story is possible. In virtually every walk of life, robotic systems can make labor more valuable, not less. Frank Pasquale tells the story of nurses, teachers, designers, and others who partner with technologists, rather than meekly serving as data sources for their computerized replacements. This cooperation reveals the kind of technological advance that could bring us all better health care, education, and more, while maintaining meaningful work. These partnerships also show how law and regulation can promote prosperity for all, rather than a zero-sum race of humans against machines.

Policymakers must not allow corporations or engineers alone to answer questions about how far AI should be entrusted to assume tasks once performed by humans, or about the optimal mix of robotic and human interaction. The kind of automation we get—and who it benefits—will depend on myriad small decisions about how to develop AI. Pasquale proposes ways to democratize that decision-making, rather than centralize it in unaccountable firms. Sober yet optimistic, New Laws of Robotics offers an inspiring vision of technological progress, in which human capacities and expertise are the irreplaceable center of an inclusive economy.

Near the forefront of any examination of disciplinary pursuits in the academy today, among the many important issues being addressed is the role of computing and its integration into, and perhaps revolutionizing of, central methodological approaches. The series New Technologies in Medieval and Renaissance Studies addresses this context from both broad and narrow perspectives, with anticipated discussions rooted in areas including literature, art history, musicology, and culture in the medieval and Renaissance periods.

The first volume of the series, New Technologies and Renaissance Studies, presents a collection of contributions to one ongoing forum for the dialogue which lies at the heart of the book series, the annual "conference within a conference" of the same name which takes place during the Renaissance Society of America gathering, dedicated specifically to the intersection of computational methods and Renaissance studies. Papers in this volume exemplify those fruitful and productive exchanges, from their inception at the 2001 meeting in Chicago to the 2005 meeting in Cambridge.

Near the forefront of any examination of disciplinary pursuits in the academy today, among the many important issues being addressed is the role of computing and its integration into, and perhaps revolutionizing of, central methodological approaches. The series New Technologies in Medieval and Renaissance Studies addresses this context from both broad and narrow perspectives, with anticipated discussions rooted in areas including literature, art history, musicology, and culture in the medieval and Renaissance periods.

In the fourth volume of the New Technologies in Medieval and Renaissance Studies series, volume editors Tassie Gniady, Kris McAbee, and Jessica Murphy bring together some of the best work from the New Technologies in Medieval and Renaissance Studies panels at the Renaissance Society of America (RSA) annual meetings for the years 2004–2010. These essays demonstrate a dedication to grounding the use of “newest” practices in the theories of the early modern period. At the same time, the essays are interested in the moment—the needs of scholars then, the theories of media that informed current understanding, and the tools used to conduct studies.

These essays explore problems with digital approaches to analog objects and offer digital methods to study networks of production, dissemination, and collection. Further, they reflect on the limitations of those methods and speak to a central truth of digital projects: unlike traditional scholarship, digital scholarship is often the result of collective networks of not only disciplinary scholars but also of library professionals and other technical and professional staff as well as students.
 

This report presents a quantitative assessment of how the presentation of news has changed over the past 30 years and how it varies across platforms. Over time, and as society moved from “old” to “new” media, news content has generally shifted from more-objective event- and context-based reporting to reporting that is more subjective, relies more heavily on argumentation and advocacy, and includes more emotional appeals.

A digital anthropologist examines the online lives of millions of people in China, India, Brazil, and across the Middle East—home to most of the world’s internet users—and discovers that what they are doing is not what we imagine.

New-media pundits obsess over online privacy and security, cyberbullying, and revenge porn, but do these things really matter in most of the world? The Next Billion Users reveals that many assumptions about internet use in developing countries are wrong.

After immersing herself in factory towns, slums, townships, and favelas, Payal Arora assesses real patterns of internet usage in India, China, South Africa, Brazil, and the Middle East. She finds Himalayan teens growing closer by sharing a single computer with common passwords and profiles. In China’s gaming factories, the line between work and leisure disappears. In Riyadh, a group of young women organizes a YouTube fashion show.

Why do citizens of states with strict surveillance policies appear to care so little about their digital privacy? Why do Brazilians eschew geo-tagging on social media? What drives young Indians to friend “foreign” strangers on Facebook and give “missed calls” to people? The Next Billion Users answers these questions and many more. Through extensive fieldwork, Arora demonstrates that the global poor are far from virtuous utilitarians who mainly go online to study, find jobs, and obtain health information. She reveals habits of use bound to intrigue everyone from casual internet users to developers of global digital platforms to organizations seeking to reach the next billion internet users.

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB® provides an introductory course on nonlinear optimization in electrical engineering, with a focus on applications such as the design of electric, microwave, and photonic circuits, wireless communications, and digital filter design.

The first multi-disciplinary study of the connection between memory and music in video games.

This book allows readers to understand the relationships and memories they often form around games, and music is central to this process. The quest into the past begins with this book, a map that leads to the intersection between nostalgia and videogame music. Informed by research on musicology, memory, and practices of gaming culture, this edited volume discusses different forms of nostalgia, considers how videogames display their relation to those forms, and explores the ways theoretically self-conscious positions can be found in games. An important scholarly addition to the burgeoning field of ludomusicology, this book will appeal to researchers, educators, practitioners, undergraduate and graduate students, and videogame fans and players alike.