In the era of big data and multi-connectivity via IoTs, protecting and securing multimedia data has become a real necessity and priority for organizations and businesses, but this can be a rather difficult task due to the heterogeneous nature of platforms and data sets. It is therefore essential to improve the security level of multimedia information by developing core technologies to prevent the loss and damage of information during processing and transmission.

This collection considers new phenomena emerging in a convergence environment from the perspective of adaptation studies. The contributions take the most prominent methods within the field to offer reconsiderations of theoretical concepts and practices in participatory culture, transmedia franchises, and new media adaptations. The authors discuss phenomena ranging from mash-ups of novels and YouTube cover songs to negotiations of authorial control and interpretative authority between media producers and fan communities to perspectives on the fictional and legal framework of brands and franchises. In this fashion, the collection expands the horizons of both adaptation and transmedia studies and provides reassessments of frequently discussed (BBC’s Sherlock or the LEGO franchise) and previously largely ignored phenomena (self-censorship in transnational franchises, mash-up novels, or YouTube cover videos).

The term 'advanced robotics' came in the 1980s to describe the application of advanced sensors and new developments in cognitive science and artificial intelligence to the traditional robot. Today, advanced robots have come far beyond the limitations of the crude 'pick-and-place' machines of the 1980s assembly line, and have a vast range of applications in manufacturing, construction and health care, as well as hostile environments such as space, underwater and nuclear applications.

This book has been inspired by the portfolio of recent scientific outputs from a range of European and national research initiatives in cognitive science. It presents an overview of recent developments in cognition research and unites the various emerging research strands within a single text as a reference point for progress in the subject. It also provides guidance for new researchers on the breadth of the field and the interconnections between the various research strands identified here.

This book describes some of the developments in Command, Control and Communication (C3) systems. The topics cover the design of large real-time man-machine systems, which are now a vital area of intensive scientific and financial investment. C3 systems are for complex resource management and planning, and although this has a predominantly military connotation, similar systems are now developing in civil sector applications, public utilities and banking.

Modal logic originated in philosophy as the logic of necessity and possibility. Nowadays it has reached a high level of mathematical sophistication and found many applications in a variety of disciplines, including theoretical and applied computer science, artificial intelligence, the foundations of mathematics, and natural language syntax and semantics. This volume represents the proceedings of the first international workshop on Advances in Modal Logic, held in Berlin, Germany, October 8-10, 1996. It offers an up-to-date perspective on the field, with contributions covering its proof theory, its applications in knowledge representation, computing and mathematics, as well as its theoretical underpinnings. "This collection is a useful resource for anyone working in modal logic. It contains both interesting surveys and cutting-edge technical results" --Edwin D. Mares The Bulletin of Symbolic Logic, March 2002

Affective computing is the study and development of systems and devices that can recognise human emotions. This can be done using sensing technologies and AI algorithms to process biological signals or facial images to identify the different affective states, such as happiness, anger, fear, surprise, sadness and disgust. This non-invasive technique has applications in healthcare such as emotional impairment detection, mental health assessment, emotional stress assessment, cognitive decline detection, attention deficit disorders, neurodegenerative diseases, neurological disorders, autism spectrum disorder, stress, anxiety or other behavioural assessment.

A short, thought-provoking book about what happens to our online identities after we die.

These days, so much of our lives takes place online—but what about our afterlives? Thanks to the digital trails that we leave behind, our identities can now be reconstructed after our death. In fact, AI technology is already enabling us to “interact” with the departed. Sooner than we think, the dead will outnumber the living on Facebook. In this thought-provoking book, Carl Öhman explores the increasingly urgent question of what we should do with all this data and whether our digital afterlives are really our own—and if not, who should have the right to decide what happens to our data.

The stakes could hardly be higher. In the next thirty years alone, about two billion people will die. Those of us who remain will inherit the digital remains of an entire generation of humanity—the first digital citizens. Whoever ends up controlling these archives will also effectively control future access to our collective digital past, and this power will have vast political consequences. The fate of our digital remains should be of concern to everyone—past, present, and future. Rising to these challenges, Öhman explains, will require a collective reshaping of our economic and technical systems to reflect more than just the monetary value of digital remains.

As we stand before a period of deep civilizational change, The Afterlife of Data will be an essential guide to understanding why and how we as a human race must gain control of our collective digital past—before it is too late.

By specializing in a vertical market, companies can better understand their customers and bring more insight to clients in order to become an integral part of their businesses. This approach requires dedicated tools, which is where artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes.

Although some IoT systems are built for simple event control where a sensor signal triggers a corresponding reaction, many events are far more complex, requiring applications to interpret the event using analytical techniques to initiate proper actions. Artificial intelligence of things (AIoT) applies intelligence to the edge and gives devices the ability to understand the data, observe the environment around them, and decide what to do best with minimum human intervention. With the power of AI, AIoT devices are not just messengers feeding information to control centers. They have evolved into intelligent machines capable of performing self-driven analytics and acting independently. A smart environment uses technologies such as wearable devices, IoT, and mobile internet to dynamically access information, connect people, materials and institutions, and then actively manages and responds to the ecosystem's needs in an intelligent manner.

The continuing growth in the size and complexity of VLSI devices requires a parallel development of well-designed, efficient CAD tools. The majority of commercially available tools are based on an algorithmic approach to the problem and there is a continuing research effort aimed at improving these. The sheer complexity of the problem has, however, led to an interest in examining the applicability of expert systems and other knowledge based techniques to certain problems in the area and a number of results are becoming available. The aim of this book is to sample the present state-of-the-art in CAD for VLSI and it covers both newly developed algorithms and applications of techniques from the artificial intelligence community. The editors believe it will prove of interest to all engineers concerned with the design and testing of integrated circuits and systems.

Algorithms have risen to become one, if not the central technology for producing, circulating, and evaluating knowledge in multiple societal arenas. In this book, scholars from the social sciences, humanities, and computer science argue that this shift has, and will continue to have, profound implications for how knowledge is produced and what and whose knowledge is valued and deemed valid. To attend to this fundamental change, the authors propose the concept of algorithmic regimes and demonstrate how they transform the epistemological, methodological, and political foundations of knowledge production, sensemaking, and decision-making in contemporary societies. Across sixteen chapters, the volume offers a diverse collection of contributions along three perspectives on algorithmic regimes: the methods necessary to research and design algorithmic regimes, the ways in which algorithmic regimes reconfigure sociotechnical interactions, and the politics engrained in algorithmic regimes.

Making arrowheads, blades, and other stone tools was once a survival skill and is still a craft practiced by thousands of flintknappers around the world. In the United States, knappers gather at regional "knap-ins" to socialize, exchange ideas and material, buy and sell both equipment and knapped art, and make stone tools in the company of others. In between these gatherings, the knapping community stays connected through newsletters and the Internet.

In this book, avid knapper and professional anthropologist John Whittaker offers an insider's view of the knapping community. He explores why stone tools attract modern people and what making them means to those who pursue this art. He describes how new members are incorporated into the knapping community, how novices learn the techniques of knapping and find their roles within the group, how the community is structured, and how ethics, rules, and beliefs about knapping are developed and transmitted. He also explains how the practice of knapping relates to professional archaeology, the trade in modern replicas of stone tools, and the forgery of artifacts. Whittaker's book thus documents a fascinating subculture of American life and introduces the wider public to an ancient and still rewarding craft.

A gripping history that spans law, international affairs, and top-secret technology to unmask the tension between intellectual property rights and national security.
 
At the beginning of the twentieth century, two British inventors, Arthur Pollen and Harold Isherwood, became fascinated by a major military question: how to aim the big guns of battleships. These warships—of enormous geopolitical import before the advent of intercontinental missiles or drones—had to shoot in poor light and choppy seas at distant moving targets, conditions that impeded accurate gunfire. Seeing the need to account for a plethora of variables, Pollen and Isherwood built an integrated system for gathering data, calculating predictions, and transmitting the results to the gunners. At the heart of their invention was the most advanced analog computer of the day, a technological breakthrough that anticipated the famous Norden bombsight of World War II, the inertial guidance systems of nuclear missiles, and the networked “smart” systems that dominate combat today. Recognizing the value of Pollen and Isherwood’s invention, the British Royal Navy and the United States Navy pirated it, one after the other. When the inventors sued, both the British and US governments invoked secrecy, citing national security concerns.
 
Drawing on a wealth of archival evidence, Analog Superpowers analyzes these and related legal battles over naval technology, exploring how national defense tested the two countries’ commitment to individual rights and the free market. Katherine C. Epstein deftly sets out Pollen’s and Isherwood’s pioneering achievements, the patent questions raised, the geopolitical rivalry between Britain and the United States, and the legal precedents each country developed to control military tools built by private contractors.
 
Epstein’s account reveals that long before the US national security state sought to restrict information about atomic energy, it was already embroiled in another contest between innovation and secrecy. The America portrayed in this sweeping and accessible history isn’t yet a global hegemon but a rising superpower ready to acquire foreign technology by fair means or foul—much as it accuses China of doing today.

This is an auto-narrated audiobook version of this book.

A gripping history that spans law, international affairs, and top-secret technology to unmask the tension between intellectual property rights and national security.
 
At the beginning of the twentieth century, two British inventors, Arthur Pollen and Harold Isherwood, became fascinated by a major military question: how to aim the big guns of battleships. These warships—of enormous geopolitical import before the advent of intercontinental missiles or drones—had to shoot in poor light and choppy seas at distant moving targets, conditions that impeded accurate gunfire. Seeing the need to account for a plethora of variables, Pollen and Isherwood built an integrated system for gathering data, calculating predictions, and transmitting the results to the gunners. At the heart of their invention was the most advanced analog computer of the day, a technological breakthrough that anticipated the famous Norden bombsight of World War II, the inertial guidance systems of nuclear missiles, and the networked “smart” systems that dominate combat today. Recognizing the value of Pollen and Isherwood’s invention, the British Royal Navy and the United States Navy pirated it, one after the other. When the inventors sued, both the British and US governments invoked secrecy, citing national security concerns.
 
Drawing on a wealth of archival evidence, Analog Superpowers analyzes these and related legal battles over naval technology, exploring how national defense tested the two countries’ commitment to individual rights and the free market. Katherine C. Epstein deftly sets out Pollen’s and Isherwood’s pioneering achievements, the patent questions raised, the geopolitical rivalry between Britain and the United States, and the legal precedents each country developed to control military tools built by private contractors.
 
Epstein’s account reveals that long before the US national security state sought to restrict information about atomic energy, it was already embroiled in another contest between innovation and secrecy. The America portrayed in this sweeping and accessible history isn’t yet a global hegemon but a rising superpower ready to acquire foreign technology by fair means or foul—much as it accuses China of doing today.

As a cultural form, media practice and organizational model, the anthology has represented an important editorial framework in the development, preservation and retrieval of narratives, from paper-based media to machine-generated content, all throughout a series of discontinued analog and digital technologies. Over time, anthologies became part of the “metaphors we live by” (Lakoff and Johnson 2008), figurative lenses through which we read, navigate, interpret stories and organize human thoughts for better understanding. By providing an overview on the role of the anthology on streaming platform environments, this book examines how traditional editorial practices of anthologization intersect with data-driven content classification and sorting in the context of both pre- and post-digital culture. The author ultimately proposes to insert “anthology” in a vocabulary of digital culture that accounts for new curatorial and algorithmic processes of content filtering, in the attempt to expand the critical “keywords” (Williams 1983; Striphas 2015; Thylstrup et al. 2021) for the study of culture, society, data.

Markets run on information. Buyers make decisions by relying on their knowledge of the products available, and sellers decide what to produce based on their understanding of what buyers want. But the distribution of market information has changed, as consumers increasingly turn to sources that act as intermediaries for information—companies like Yelp and Google. Antitrust Law in the New Economy considers a wide range of problems that arise around one aspect of information in the marketplace: its quality.

Sellers now have the ability and motivation to distort the truth about their products when they make data available to intermediaries. And intermediaries, in turn, have their own incentives to skew the facts they provide to buyers, both to benefit advertisers and to gain advantages over their competition. Consumer protection law is poorly suited for these problems in the information economy. Antitrust law, designed to regulate powerful firms and prevent collusion among producers, is a better choice. But the current application of antitrust law pays little attention to information quality.

Mark Patterson discusses a range of ways in which data can be manipulated for competitive advantage and exploitation of consumers (as happened in the LIBOR scandal), and he considers novel issues like “confusopoly” and sellers’ use of consumers’ personal information in direct selling. Antitrust law can and should be adapted for the information economy, Patterson argues, and he shows how courts can apply antitrust to address today’s problems.

An engrossing origin story for the personal computer—showing how the Apple II’s software helped a machine transcend from hobbyists’ plaything to essential home appliance.
 
Skip the iPhone, the iPod, and the Macintosh. If you want to understand how Apple Inc. became an industry behemoth, look no further than the 1977 Apple II. Designed by the brilliant engineer Steve Wozniak and hustled into the marketplace by his Apple cofounder Steve Jobs, the Apple II became one of the most prominent personal computers of this dawning industry.
 
The Apple II was a versatile piece of hardware, but its most compelling story isn’t found in the feat of its engineering, the personalities of Apple’s founders, or the way it set the stage for the company’s multibillion-dollar future. Instead, historian Laine Nooney shows, what made the Apple II iconic was its software. In software, we discover the material reasons people bought computers. Not to hack, but to play. Not to code, but to calculate. Not to program, but to print. The story of personal computing in the United States is not about the evolution of hackers—it’s about the rise of everyday users.
 
Recounting a constellation of software creation stories, Nooney offers a new understanding of how the hobbyists’ microcomputers of the 1970s became the personal computer we know today. From iconic software products like VisiCalc and The Print Shop to historic games like Mystery House and Snooper Troops to long-forgotten disk-cracking utilities, The Apple II Age offers an unprecedented look at the people, the industry, and the money that built the microcomputing milieu—and why so much of it converged around the pioneering Apple II.

Increased use of artificial intelligence (AI) is being deployed in many hospitals and healthcare settings to help improve health care service delivery. Machine learning (ML) and deep learning (DL) tools can help guide physicians with tasks such as diagnosis and detection of diseases and assisting with medical decision making.

CAA is the foremost conference on digital archaeology, and this volume offers a comprehensive and up-to date reference to the state of the art. This volume contains a selection of the best papers presented at the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), held in Southampton from 26 to 29 March 2012. The papers, all written and peer-reviewed by experts in the field of digital archaeology, explore a multitude of topics to showcase ground-breaking technologies and best practice from various archaeological and informatics disciplines, with a variety of case studies from all over the world.Download the Table of Contents and a sample chapter

From a technological perspective, these essays address current theories of consciousness and subjective experience, embracing new ideas from the physical sciences alongside more spiritual and artistic aspects of human existence.

This volume develops from the studies published in Roy Ascott's highly successful Reframing Consciousness, documenting the very latest research from those connected with the CAiiA-STAR centre and its associated conferences. Their work embodies artistic and theoretical research in new media and telematics including aspects of artificial life, robotics, technoetics, performance, computer music and intelligent architecture, to growing international acclaim.

A new history of human intelligence that argues that humans know themselves by knowing their machines.

We imagine that we are both in control of and controlled by our bodies—autonomous and yet automatic. This entanglement, according to David W. Bates, emerged in the seventeenth century when humans first built and compared themselves with machines. Reading varied thinkers from Descartes to Kant to Turing, Bates reveals how time and time again technological developments offered new ways to imagine how the body’s automaticity worked alongside the mind’s autonomy. Tracing these evolving lines of thought, An Artificial History of Natural Intelligence offers a new theorization of the human as a being that is dependent on technology and produces itself as an artificial automaton without a natural, outside origin.

Earth observation (EO) involves the collection, analysis, and presentation of data in order to monitor and assess the status and changes in natural and built environments. This technology has many applications including weather forecasting, tracking biodiversity, measuring land-use change, monitoring and responding to natural disasters, managing natural resources, monitoring emerging diseases and health risks, and predicting, adapting to and mitigating climate change.

The integration of new technologies is resulting in an increased demand for security and authentication in all types of data communications. Cybersecurity is the protection of networks and systems from theft. Biometric technologies use unique traits of particular parts of the body such facial recognition, iris, fingerprints and voice to identify individuals' physical and behavioural characteristics. Although there are many challenges associated with extracting, storing and processing such data, biometric and cybersecurity technologies along with artificial intelligence (AI) are offering new approaches to verification procedures and mitigating security risks.

Research in artificial intelligence has developed many techniques and methodologies that can be either adapted or used directly to solve complex power system problems. A variety of such problems are covered in this book including reactive power control, alarm analysis, fault diagnosis, protection systems and load forecasting. Methods such as knowledge-based (expert) systems, fuzzy logic, neural networks and genetic algorithms are all first introduced and then investigated in terms of their applicability in the power systems field. The book, therefore, serves as both an introduction to the use of artificial intelligence techniques for those from a power systems background and as an overview of the power systems implementation area for those from an artificial intelligence computing or control background. It is structured so that it is suitable for various levels of reader, covering basic principles as well as applications and case studies. The most popular methods and the most fruitful application fields are considered in more detail. The book contains contributions from top international authors and will be an extremely useful text for all those with an interest in the field.

Critical systems and infrastructure rely heavily on ICT systems and networks where security issues are a major concern. Authentication methods verify that messages come from trusted sources and guarantee the smooth flow of information and data. In this edited reference, the authors present state-of-art research and development in authentication technologies including challenges and applications for Cloud Technologies, IoT and Big Data. Topics covered include authentication; cryptographic algorithms; digital watermarking; biometric authentication; block ciphers with applications in IoT; identification schemes for Cloud and IoT; authentication issues for Cloud applications; cryptography engines for Cloud based on FPGA; and data protection laws.

From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. An expert in computer science and media explains the present and future of a world in which news is created by algorithm.

Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories—increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news.

Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both.

Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human–algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.

Automating technologies threaten to usher in a workless future. But this can be a good thing—if we play our cards right.

Human obsolescence is imminent. The factories of the future will be dark, staffed by armies of tireless robots. The hospitals of the future will have fewer doctors, depending instead on cloud-based AI to diagnose patients and recommend treatments. The homes of the future will anticipate our wants and needs and provide all the entertainment, food, and distraction we could ever desire.

To many, this is a depressing prognosis, an image of civilization replaced by its machines. But what if an automated future is something to be welcomed rather than feared? Work is a source of misery and oppression for most people, so shouldn’t we do what we can to hasten its demise? Automation and Utopia makes the case for a world in which, free from need or want, we can spend our time inventing and playing games and exploring virtual realities that are more deeply engaging and absorbing than any we have experienced before, allowing us to achieve idealized forms of human flourishing.

The idea that we should “give up” and retreat to the virtual may seem shocking, even distasteful. But John Danaher urges us to embrace the possibilities of this new existence. The rise of automating technologies presents a utopian moment for humankind, providing both the motive and the means to build a better future.