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.

As digitized collections grow, Navigating Artificial Intelligence assesses how AI is reshaping the accessibility and ethical challenges of cultural records.

As artificial intelligence reshapes the cultural heritage sector, libraries, archives, and museums face novel opportunities and pressing ethical challenges. Navigating Artificial Intelligence for Cultural Heritage Organisations brings together leading experts from digital humanities, computer science, and information science to explore how AI-driven technologies transform the management and interpretation of digitized and born-digital records.

Through an examination of real-world case studies from the UK, US, and beyond, this volume provides significant insights into AI’s role in record management and text and data mining, while addressing issues of trust and risk in automated systems. Designed for heritage professionals, researchers, and information specialists, this book offers a timely guide to leveraging AI while also safeguarding the integrity and accessibility of cultural archives for the future.
 

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.

A critical examination of the figure of the neural network as it mediates neuroscientific and computational discourses and technical practices

Neural Networks proposes to reconstruct situated practices, social histories, mediating techniques, and ontological assumptions that inform the computational project of the same name. If so-called machine learning comprises a statistical approach to pattern extraction, then neural networks can be defined as a biologically inspired model that relies on probabilistically weighted neuron-like units to identify such patterns. Far from signaling the ultimate convergence of human and machine intelligence, however, neural networks highlight the technologization of neurophysiology that characterizes virtually all strands of neuroscientific and AI research of the past century. Taking this traffic as its starting point, this volume explores how cognition came to be constructed as essentially computational in nature, to the point of underwriting a technologized view of human biology, psychology, and sociability, and how countermovements provide resources for thinking otherwise.

New Jersey has a long history of adapting to a changing economic climate. From its colonial origins to the present day, New Jersey's economy has continuously and successfully confronted the challenges and uncertainties of technological and demographic change, placing the state at the forefront of each national and global economic era. Based on James W. Hughes and Joseph J. Seneca’s nearly three-decade-long Rutgers Regional Report series, New Jersey’s Postsuburban Economy presents the issues confronting the state and brings to the forefront ideas for meeting these challenges.

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.
 

A collection of essays engaging with digital scholarship and new technologies.

Contributors to this volume engage with digital scholarship in several ways: by creating digital projects, often in multidisciplinary, collaborative environments; by applying digital methodologies and tools to explore research questions; and by speculating about the potential directions that digital scholarship can take to tackle existing research areas that could benefit from new perspectives. Together, the chapters demonstrate how various digital approaches—from network analysis to web mapping, VR and AR technologies, digital editions, databases, and archives—are all contributing in creative and effective ways to expand our knowledge of the past, to help ask and answer questions at a scale that was unimaginable before the digital turn, and to reshape early modern studies in the twenty-first century. 

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.