Bøger udgivet af now publishers Inc

Presents a summary of challenges to deliver desired solutions and a presentation of efforts to be undertaken to ensure that US will continue to be a leader in robotics, both in terms of research innovation, adoption of the latest technology, and adoption of policy frameworks that ensure that the technology is utilized in a responsible fashion.

Provides an overview of existing work in explanation support for data-driven processes. The book classifies explainability requirements across three dimensions: the target of the explanation ('What'), the audience of the explanation ('Who'), and the purpose of the explanation ('Why').

Differential privacy is a promising approach to formalizing privacy - that is, for writing down what privacy means as a mathematical equation. This book serves as an overview of the state-of-the-art in techniques for differential privacy.

Reviews the academic literature on market outcomes, reporting practices and the political economy behind the global use of International Financial Reporting Standards. Starting with a conceptual discussion of expected benefits and costs, the authors explain why predictions on possible outcomes are ambiguous.

Presents a thorough review of the state of the art of recommender systems that leverage psychological constructs and theories to model and predict user behaviour and improve the recommendation process - so-called psychology-informed recommender systems.

Provides a thorough introduction to Graphical Processing Unit (GPU) optimized database systems especially in online analytical processing. The authors emphasis is on the breadth of the subject and cover as many publications as possible, with necessary details in some key GPU-optimized designs.

Provides a review of recent theoretical and practical progress on systems that employ erasure codes for distributed storage. Starting with coverage of the key challenges and research problems, the authors give an overview of different models and approaches that have been developed to quantify latency of erasure-coded storage.

Surveys fundamental concepts and practical methods for creating and curating large knowledge bases. The book covers models and methods for discovering and curating large knowledge bases from online content, with emphasis on semi-structured web pages and unstructured text sources.

Provides both historical background and a comprehensive overview of the recent advances in the field. In particular, the authors lay out all the components needed in the design of a privacy-centric email search engine.

Defines and describes the research field at the interface of Finance, Operations, and Risk Management (iFORM), provides examples where operations and finance overlap in meaningful ways, outlines promising research directions, and reduces the entry cost for anyone who would like to explore this new and exciting research field.

The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. This book describes the latest state-of-the art.

Presents a condensed summary of research efforts investigating post-WIMP interaction techniques in visualization systems. The authors discuss the main challenges faced, lessons learned, and reflect on how their perspectives and viewpoints on post-WIMP for InfoVis have evolved.

Provides an overview and background of the various developments of single-slope analog-to-digital converters (SS-ADC). Background information is given about the general CIS architecture, the CIS pixels and the noise sources present in a CIS. The book also describes the various architectures used in an SS-ADC.

Presents a case study protocol and analyses of nine technology transfer success stories across federal agencies and their research laboratories to begin to fill a gap in the existing literature where there is less available research on the impact and the mechanisms of technology transfer from federal labs.

This monograph reviews organizational ambidexterity in entrepreneurship studies. The author examines the past 15 years of published research by focusing on the contribution of organizational ambidexterity to the fields of management studies and entrepreneurship studies and provide research directions in organizational ambidexterity.

Synthesizes the authors' previous work to draw conclusions and identify new directions. The book puts the spotlight on collaborative innovation blocs and improves our understanding of how and why entrepreneurial plans are formulated and revised over time.

Presents findings from a review of the alignment and innovation literature streams published between 1990 and 2020. The authors summarize approaches, challenges, and opportunities, and reveal that alignment scholars tend to overlook the complexities inherent in the process of innovating and view innovation as a black box.

ENACT is a research project funded by the European Commission under its H2020 program. This book reports on the ENACT work to empower the development and operation as well as the continuous and agile evolution of Smart IoT Systems, which is necessary to adapt the system to changes in its environment.

Presents solutions for integrated Cyber-Physical Threat Intelligence for infrastructures in various sectors, such as industrial sites, air transport, gas, healthcare, and finance. The solutions rely on novel methods and technologies, such as integrated modelling for cyber-physical systems, novel reliance indicators, and data driven approaches.

Discusses decentralised wastewater treatment and the role of nature-based solutions within the context of the twenty-partner international INNOQUA project. Design and operation principles are outlined, together with performance data and practical feedback from pilot and demonstration facilities situated in eleven countries.

Summarises the literature on AI and business model innovation. The hypothesis of the book is that the deployment of AI across an industry creates new mechanisms for value creation and in turn results in new firms generating value in an industry as incumbent firms may no longer be as competitive as in the past - the 'value migration' phenomenon.

Advances in brain sensing technologies, new analysis methods, and hardware improvements have opened the door for research which will accelerate with the increased commercialization of wearable technology containing brain sensors. This book examines brain signals from an HCI perspective, focusing on work that makes an HCI-related contribution.

By explaining how the result of an operation was derived from its inputs, data provenance has proven to be a useful tool that is applicable in a wide variety of applications. This monograph gives a comprehensive introduction to data provenance concepts, algorithms and methodology developed in the last few decades.

Presents a comprehensive overview of the applications of machine learning algorithms to the Crunchbase database. The authors highlight the main research goals that can be addressed and review all the variables and algorithms used for each goal.

Robotics and related technologies are central to the ongoing digitization and advancement of manufacturing. In this work, the authors study the changing technological landscape of robotics and ""internet-of-things"" (IoT)-based connective technologies over the last 8-10 years in the wake of Industry 4.0.

Examines the existing attempts to establish decentralized autonomous organization (DAO) concepts and legal frameworks. The book evaluates the technical solutions and internal governance solutions promulgated by DAO projects. Particular emphasis is placed on the duality and feedback effects between internal DAO governance and external legal design.

Promotes the use of process theory as an essential part of the body of knowledge relative to information systems which should be nurtured and expanded. The book addresses why process theory is important, how it can enhance the discipline, and what needs to be tackled to make the development and application of process theory routine.

Traces the historical roots of science and technology advice for Congress and chronicles the creation and evolution of the four organisations that provided this advice over the past half century - the National Research Council, the Congressional Research Service, the former Office of Technology Assessment, and the Government Accountability Office.

Multi-tenancy is a crucial tenet for cloud dataservice providers that allows sharing of data centre resources across tenants, thereby reducing cost. In this monograph the authors review architectures of today's cloud data services, and identify trends and challenges that arise in multi-tenant cloud data services.

Explores a class of methods that are capable of formally verifying properties of deep neural networks. The book introduces a unified mathematical framework for verifying neural networks, classify existing methods under this framework, provide pedagogical implementations of existing methods, and compare those methods on a set of benchmark problems.