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Author: Pendyala, Vishnu S. Publisher: IGI Global ISBN: 1668440474 Category : Computers Languages : en Pages : 307
Book Description
Learning has been fundamental to the growth and evolution of humanity and civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its applications like never before. It is now widely recognized that machine learning is playing a similar role to electricity in the late 19th and early 20th centuries in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all—however, a few of the applications clearly stand out as transforming the world and opening up a new era. Machine Learning for Societal Improvement, Modernization, and Progress showcases the path-breaking applications of machine learning that are leading to the next generation of computing and living standards. The focus of the book is machine learning and its application to specific domains, which is resulting in substantial civilizational progress. Covering topics such as lifespan prediction, smart transportation networks, and socio-economic data, this premier reference source is a dynamic resource for data scientists, industry leaders, practitioners, students and faculty of higher education, sociologists, researchers, and academicians.
Author: Pendyala, Vishnu S. Publisher: IGI Global ISBN: 1668440474 Category : Computers Languages : en Pages : 307
Book Description
Learning has been fundamental to the growth and evolution of humanity and civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its applications like never before. It is now widely recognized that machine learning is playing a similar role to electricity in the late 19th and early 20th centuries in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all—however, a few of the applications clearly stand out as transforming the world and opening up a new era. Machine Learning for Societal Improvement, Modernization, and Progress showcases the path-breaking applications of machine learning that are leading to the next generation of computing and living standards. The focus of the book is machine learning and its application to specific domains, which is resulting in substantial civilizational progress. Covering topics such as lifespan prediction, smart transportation networks, and socio-economic data, this premier reference source is a dynamic resource for data scientists, industry leaders, practitioners, students and faculty of higher education, sociologists, researchers, and academicians.
Author: Jonathan Roberge Publisher: Springer Nature ISBN: 3030562867 Category : Social Science Languages : en Pages : 298
Book Description
This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventional histories of artificial intelligence? How can machinic agents’ capacity for novelty be theorized? Can reform initiatives for fairness and equity in AI and machine learning be realized, or are they doomed to cooptation and failure? And just what kind of “learning” does machine learning truly represent? We empirically address these questions and more to provide a baseline for future research. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Tunio, Muhammad Nawaz Publisher: IGI Global ISBN: 166845419X Category : Business & Economics Languages : en Pages : 231
Book Description
Frugal innovation is considered a new source of innovation, mainly to meet the needs of low-income customers. Hence, frugal innovation has primarily been explored emphasizing affordability. The concept of frugal and social innovation is a new idea and requires perspectives from academicians, researchers, and organizations to reach its full potential. Frugal Innovation and Social Transitions in the Digital Era considers the social value of innovation, frugal innovation, and social innovation in society at local, national, and international levels and calls the attention of scholars and researchers around the globe to focus on the social perspectives and social patterns of human life and society. Covering key topics such as emerging technologies, entrepreneurship, and social change, this reference work is ideal for computer scientists, business owners, managers, policymakers, researchers, scholars, practitioners, instructors, and students.
Author: Bansal, Sanjeev Publisher: IGI Global ISBN: 1668452766 Category : Technology & Engineering Languages : en Pages : 338
Book Description
The world is undergoing a transformation as technology enters every ecosystem. Subsequently, there is a need to develop higher-order digital skills to ensure one's employability as professionals need to build digital competencies to remain competitive in the current work environment. Additionally, businesses must also continue to update their digital practices in order to remain relevant. Multidisciplinary Perspectives Towards Building a Digitally Competent Society explores multidisciplinary perspectives towards building a more digitally competent society, considers new business models and the need for organizations and individuals to develop the right mindset to embrace digitalization, and discusses how social capital can become a key driver in crafting a whole new digitally competent social fabric. Covering topics such as technological transformation, social media, and corporate social responsibility, this reference work is ideal for corporate practitioners, business owners, policymakers, scholars, researchers, practitioners, instructors, and students.
Author: Ugliotti, Francesca Maria Publisher: IGI Global ISBN: 1668448556 Category : Computers Languages : en Pages : 765
Book Description
Research on digital reality has been extensive in recent years, covering a wide range of topics and leading to new ways to approach and deal with complex situations. Within the Society 5.0 paradigm, people and machines establish a positive relationship to find solutions for social aspects and problems. This perspective establishes a strong interconnection between physical and virtual space, making the user an active player for better life and society. In these terms, digital systems and virtual and augmented reality technologies enable multi-dimensional scenarios and additional levels of interdisciplinary collaboration to create a highly inclusive communication network and social framework. The Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0 provides an overview of methods, processes, and tools adopted to achieve super-smart society needs by exploiting digital reality and interactive technologies. It includes case studies that illustrate applications that place people’s quality of life at the center of the digitalization process, accessing and managing different information and data domains. Covering topics such as cultural heritage, interactive learning, and virtual participation, this major reference work is a comprehensive resource for business executives and managers, IT managers, government officials, community leaders, arts and performance organizers, healthcare administrators and professionals, faculty and administrators of both K-12 and higher education, students of higher education, researchers, and academicians.
Author: Anshari, Muhammad Publisher: IGI Global ISBN: 1668461102 Category : Computers Languages : en Pages : 349
Book Description
Individuals, businesses, organizations, and countries all benefit from having access to data. People who generate data do it voluntarily, forming their habits, patterns, and behaviors in the process. Their psychological characteristics will be better understood as a result of the data that they generate, allowing them to make intelligent decisions. Organizations are motivated by the desire to collect and analyze as much data as possible from the general public or future customers in order to better understand their psychological features and influence them to purchase their products or services. As a result, there has been a great deal of debate concerning the use of data from the perspectives of individuals, organizations, the public, and the government. Digital Psychology’s Impact on Business and Society considers the phenomena of digital psychology and society in general and evaluates individual strategies and those of businesses, organizations, and even nations. Covering topics such as big data, marketing, social media, and social computing, this reference work is ideal for policymakers, psychologists, business owners, managers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
Author: George A. Tsihrintzis Publisher: Springer Nature ISBN: 3030767949 Category : Technology & Engineering Languages : en Pages : 237
Book Description
As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.
Author: Anupam Biswas Publisher: Springer Nature ISBN: 3031124197 Category : Computers Languages : en Pages : 359
Book Description
Artificial intelligence (AI) has the potential to provide innovative solutions to various societal issues and real-world social challenges. AI is useful in combating some of the seemingly unsolvable social crises facing the world today. Be it disaster awareness and management or demand forecasting, or healthcare informatics or disease outbreaks like COVID-19, the AI plays a pivotal role everywhere. AI has the potential to address some of the societal issues that indirectly pose challenges like cybercrime, agriculture, education, economy, and health. The book covers several applications of AI as solutions to different societal issues, which include economic empowerment, smart education system, COVID-19 detection & management, emotion detection, fraudulent transactions, applications in agriculture and health informatics, etc. The book will be helpful for the academicians and researchers working with various areas of societal issues, data science, artificial intelligence, and machine learning.
Author: Ethem Alpaydin Publisher: MIT Press ISBN: 0262542528 Category : Computers Languages : en Pages : 282
Book Description
A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition--as well as some we don't yet use everyday, including driverless cars. It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpaydin offers a concise and accessible overview of "the new AI." This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpaydin, author of a popular textbook on machine learning, explains that as "Big Data" has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.
Author: Pendyala, Vishnu S.
Author: Pendyala, Vishnu S.
Author: Jonathan Roberge
Author: Tunio, Muhammad Nawaz
Author: Bansal, Sanjeev
Author: Ugliotti, Francesca Maria
Author: Anshari, Muhammad
Author: Carlo Lipizzi
Author: George A. Tsihrintzis
Author: Anupam Biswas
Author: Ethem Alpaydin