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Digital Cognitive Technologies by Claire Brossard,Bernard Reber Pdf
Digital Cognitive Technologies is an interdisciplinary book which assesses the socio-technical foundations of Information and Communication Technologies (ICTs), which are at the core of the "Knowledge Society." This book addresses eight major issues, analyzed by authors writing from a Human and Social Science and a Science and Technology perspective. The contributions seek to explore whether and how ICTs are changing our perception of time, space, social structures and networks, document writing and dissemination, sense-making and interpretation, cooperation, politics, and the dynamics of collective activity (socio-informatics).
Cognitive Hyperconnected Digital Transformation by Ovidiu Vermesan,Joël Bacquet Pdf
Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business.
Artificial Intelligence and Computing Logic by Cyrus F. Nourani Pdf
Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.
User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses by Jean-Éric Pelet Pdf
"This book explores the role of user experience in e-commerce, e-learning, and web 2.0 technologies. It also examines their impact on businesses and universities"--
Cognitive Development in Digital Contexts by Fran C. Blumberg,Patricia J. Brooks Pdf
Cognitive Development in Digital Contexts investigates the impact of screen media on key aspects of children and adolescents’ cognitive development. Highlighting how screen media impact cognitive development, the book addresses a topic often neglected amid societal concerns about pathological media use and vulnerability to media effects, such as aggression, cyber-bullying and Internet addiction. It addresses children and adolescents’ cognitive development involving their interactions with parents, early language development, imaginary play, attention, memory, and executive control, literacy and academic performance. Covers the impact of digital from both theoretical and practical perspectives Investigates effects of digital media on attention, memory, language and executive functioning Examines video games, texting, and virtual reality as contexts for learning Explores parent-child interactions around media Considers the development of effective educational media Addresses media literacy and critical thinking about media Considers social policy for increasing access to high quality education media and the Internet Provides guidance for parents on navigating children’s technology usage
Who Wins in a Digital World? by MIT Sloan Management Review Pdf
How organizations can adapt to a constantly changing business environment by being flexible but focused, embracing change, and moving fast. In the new digital world, the unknowns are never-ending. Our ability to embrace the demands of change has become a prerequisite for success. It's not easy. We don't work the way we did last year. Next year, it will all change again. If an organization doesn't embrace the realities of change, it will be under siege from those that do. Who Wins in a Digital World explains how organizations can adapt to a constantly changing business environment by being flexible but focused, embracing change in all its messiness, and moving fast. In articles that originally appeared in MIT Sloan Management Review, experts from business and academia discuss digital adaptability, explaining how both organizations and individuals need the ability to excel in what their roles will become as technology and their competitive ecosystem evolve. They highlight strategies and mindsets that can foster change, including boldness in the face of digitization, a focus on collaboration, and an artificial intelligence game plan. And they explore the need for speed, with one contributor declaring: “Implement first, ask questions later (or not at all).” Once an organization accepts the fact that technological change is ongoing and inevitable, it becomes more about opportunity and less about challenge. This book shows that change can be stimulating, exhilarating, and something to be welcomed. Contributors Stephen J. Andriole, Jacques Bughin, Thomas H. Davenport, Nathan Furr, Lynn J. Good, David Kiron, Edward E. Lawler III, Vikram Mahidhar, Paul Michelman, Jeanne Ross, Paul J. H. Schoemaker, Andrew Shipilov, Charles Sull, Donald Sull, Philip E. Tetlock, Stefano Turconi, Nicolas van Zeebroeck, Peter Weill, Thomas Williams, Stephanie L. Woerner, Christopher G. Worley, James Yoder
Cognitive Digital Twins for Smart Lifecycle Management of Built Environment and Infrastructure by Ibrahim Yitmen Pdf
This book provides knowledge into Cognitive Digital Twins for smart lifecycle management of built environment and infrastructure focusing on challenges and opportunities. It focuses on the challenges and opportunities of data-driven cognitive systems by integrating the heterogeneous data from multiple resources that can easily be used in a machine learning model and adjust the algorithms. It comprises Digital Twins incorporating cognitive features that will enable sensing complex and unpredicted behavior and reason about dynamic strategies for process optimization to support decision-making in lifecycle management of the built environment and infrastructure. The book introduces the Knowledge Graph (KG)-centric framework for Cognitive Digital Twins involving process modeling and simulation, ontology-based Knowledge Graph, analytics for process optimizations, and interfaces for data operability. It offers contributions of Cognitive Digital Twins for the integration of IoT, Big data, AI, smart sensors, machine learning and communication technologies, all connected to a novel paradigm of self-learning hybrid models with proactive cognitive capabilities. The book presents the topologies of models described for autonomous real time interpretation and decision-making support of complex system development based on Cognitive Digital Twins with applications in critical domains such as maintenance of complex engineering assets in built environment and infrastructure. It offers the essential material to enlighten pertinent research communities of the state-of-the-art research and the latest development in the area of Cognitive Digital Twins, as well as a valuable reference for planners, designers, developers, and ICT experts who are working towards the development and implementation of autonomous Cognitive IoT based on big data analytics and context–aware computing.
In this book the editors have gathered a number of contributions by persons who have been working on problems of Cognitive Technology (CT). The present collection initiates explorations of the human mind via the technologies the mind produces. These explorations take as their point of departure the question What happens when humans produce new technologies? Two interdependent perspectives from which such a production can be approached are adopted: • How and why constructs that have their origins in human mental life are embodied in physical environments when people fabricate their habitat, even to the point of those constructs becoming that very habitat • How and why these fabricated habitats affect, and feed back into, human mental life. The aim of the CT research programme is to determine, in general, which technologies, and in particular, which interactive computer-based technologies, are humane with respect to the cognitive development and evolutionary adaptation of their end users. But what does it really mean to be humane in a technological world? To shed light on this central issue other pertinent questions are raised, e.g. • Why are human minds externalised, i.e., what purpose does the process of externalisation serve? • What can we learn about the human mind by studying how it externalises itself? • How does the use of externalised mental constructs (the objects we call 'tools') change people fundamentally? • To what extent does human interaction with technology serve as an amplification of human cognition, and to what extent does it lead to a atrophy of the human mind? The book calls for a reflection on what a tool is. Strong parallels between CT and environmentalism are drawn: both are seen as trends having originated in our need to understand how we manipulate, by means of the tools we have created, our natural habitat consisting of, on the one hand, the cognitive environment which generates thought and determines action, and on the other hand, the physical environment in which thought and action are realised. Both trends endeavour to protect the human habitat from the unwanted or uncontrolled impact of technology, and are ultimately concerned with the ethics and aesthetics of tool design and tool use. Among the topics selected by the contributors to the book, the following themes emerge (the list is not exhaustive): using technology to empower the cognitively impaired; the ethics versus aesthetics of technology; the externalisation of emotive and affective life and its special dialectic ('mirror') effects; creativity enhancement: cognitive space, problem tractability; externalisation of sensory life and mental imagery; the engineering and modelling aspects of externalised life; externalised communication channels and inner dialogue; externalised learning protocols; relevance analysis as a theoretical framework for cognitive technology.
Cognitive Internet of Things by Pethuru Raj,Anupama C. Raman,Harihara Subramanian Pdf
The Internet of Things (IoT) concept is defined as a flexible and futuristic network where all the different types of devices and smart objects can become seamlessly connected to each other and can actively participate in all types of processes which are happening around us. The grand objective of making physical, mechanical, electrical, and electronic devices to use the deeper and extreme connectivity and service-enablement techniques is to make them intelligent in their deeds, decisions, and deals. Cognitive IoT is the application of cognitive computing technologies to the data which is generated by the connected devices of the IoT ecosystem. Cognition means thinking; however, computers are not yet fully capable of mimicking human like thought. However, the present-day computer systems can perform some functions which are like the capability of human beings to think. Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases explains the concepts surrounding Cognitive IoT. It also looks at the use cases and such supporting technologies as artificial intelligence and machine learning that act as key enablers of Cognitive IoT ecosystem. Different Cognitive IoT enabled platforms like IBM Watson and other product specific use cases like Amazon Alexa are covered in depth. Other highlights of the book include: Demystifying the cognitive computing paradigm Delineating the key capabilities of cognitive cloud environments Deep learning algorithms for cognitive IoT solutions Natural language processing (NLP) methods for cognitive IoT systems Designing a secure infrastructure for cognitive IoT platforms and applications
Assistive Technology for Cognition by Brian O'Neill,Alex Gillespie Pdf
Assistive technology for cognition is technology which can be used to enable, enhance, or extend cognitive function. This book systematically examines how cutting-edge digital technologies can assist the cognitive function of people with cognitive impairments, with the potential to revolutionize rehabilitation. Technologies are reviewed which direct attention, remind, recognize, prompt, and generally guide people through activities of daily living. Written by experts in neuropsychology and technology development, Assistive Technology for Cognition provides a comprehensive overview of the efficacy of technologies to assist people with brain impairments. Based on the list provided by the International Classification of Function, each chapter covers a different cognitive function; namely, attention, memory, affect, perception, executive function, language, numeracy, sequencing, and navigation onto which existing and future assistive technologies for cognition are mapped. This structure provides in-depth research in an accessible way, and will allow practitioners to move from an assessment of cognitive deficits to the prescription of an appropriate assistive technology for cognition. The chapters also make suggestions for future developments. Assistive Technology for Cognition will be of great interest to clinicians and researchers working in brain injury rehabilitation, technology developers, and also to students in clinical psychology, neuropsychology, and allied health disciplines.
What the Digital Future Holds by MIT Sloan Management Review Pdf
The relationship between management and digital technology: experts present a new agenda for the practice of management. Digital technology has profoundly affected the ways that businesses design and produce goods, manage internal communication, and connect with customers. But the next phase of the digital revolution raises a new set of questions about the relationship between technology and the practice of management. Managers in the digital era must consider how big data can inform hiring decisions, whether new communication technologies are empowering workers or unleashing organizational chaos, what role algorithms will play in corporate strategy, and even how to give performance feedback to a robot. This collection of short, pithy essays from MIT Sloan Management Review, written by both practitioners and academic experts, explores technology's foundational impact on management. Much of the conversation around these topics centers on the evolving relationship between humans and cognitive technologies, and the essays reflect this—considering, for example, not only how to manage a bot but how cognitive systems will enhance business decision making, how AI delivers value, and the ethics of algorithms. Contributors Ajay Agrawal, Robert D. Austin, David H. Autor, Andrew Burgert, Paul R. Daugherty, Thomas H. Davenport, R. Edward Freeman, Joshua S. Gans, Avi Goldfarb, Lynda Gratton, Reid Hoffman, Bala Iyer, Gerald C. Kane, Frieda Klotz, Rita Gunther McGrath, Paul Michelman, Andrew W. Moore, Nicola Morini-Bianzino, Tim O'Reilly, Bidhan L. Parmar, Ginni Rometty, Bernd Schmitt, Alex Tapscott, Don Tapscott, Monideepa Tarafdar, Catherine J. Turco, George Westerman, H. James Wilson, Andrew S. Winston
Cognition and Technology by Barbara Gorayska,Jacob L. Mey Pdf
This new collection of contributions to the field of Cognitive Technology (CT) provides the (to date) widest spectrum of the state of the art in the discipline — a disciple dedicated to humane factors in tool design. The reader will find here a summary of past research as well as an overview of new areas for future investigations. The collection contains an extensive CT agenda identifying many as yet unsolved, CT-related, design issues. An exciting new development is the concept of ‘natural technology’. Some examples of natural technologies are discussed and the merits of empirical investigations (into what they are and how they develop), of interest to cognitive scientists and designers of new (corrective, digital) technologies, are pointed out. Another distinctive feature of the collection is that it provides examples of scientists’ tools; important, too, is its emphasis on ethics in tool design. The collection ends with a provocative coda (any responses can appear in the new, annual, CT forum of the Pragmatics and Cognition journal). The collection will appeal to all scientists, humanists and professionals interested in the interface between human cognitive processes and the technologies that augment them.
Research Anthology on Artificial Intelligence Applications in Security by Management Association, Information Resources Pdf
As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.
The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems by Dinesh Peter,Amir Alavi,Bahman Javadi,Steven L. Fernandes Pdf
The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time information fusion is imperative and part of the challenge to mission critical surveillance tasks for various applications. This book presents all of these concepts, with a goal of creating automated IT systems that are capable of resolving problems without demanding human aid. Examines the current state of surveillance tracking systems, cognitive cloud architecture for resolving critical issues in surveillance tracking systems, and research opportunities in cognitive computing for surveillance tracking systems Discusses topics including cognitive computing architectures and approaches, cognitive computing and neural networks, complex analytics and machine learning, design of a symbiotic agent for recognizing real space in ubiquitous environments, and more Covers supervised regression and classification methods, clustering and dimensionality reduction methods, model development for machine learning applications, intelligent machines and deep learning networks includes coverage of cognitive computing models for scalable environments, privacy and security aspects of surveillance tracking systems, strategies and experiences in cloud architecture and service platform design
