Machine Learning For Societal Improvement Modernization And Progress

Author : Pendyala, Vishnu S.
Publisher : IGI Global
Page : 307 pages
File Size : 41,8 Mb
Release : 2022-06-24
Category : Computers
ISBN : 9781668440476

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Machine Learning for Societal Improvement, Modernization, and Progress by Pendyala, Vishnu S. Pdf

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 : Debasis Giri
Publisher : Springer Nature
Page : 242 pages
File Size : 46,8 Mb
Release : 2024-07-02
Category : Electronic
ISBN : 9789819720668

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Proceedings of the Tenth International Conference on Mathematics and Computing by Debasis Giri Pdf

Author : Jonathan Roberge,Michael Castelle
Publisher : Springer Nature
Page : 298 pages
File Size : 54,6 Mb
Release : 2020-11-30
Category : Social Science
ISBN : 9783030562861

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The Cultural Life of Machine Learning by Jonathan Roberge,Michael Castelle Pdf

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,Memon, Atia Bano
Publisher : IGI Global
Page : 231 pages
File Size : 53,9 Mb
Release : 2022-12-09
Category : Business & Economics
ISBN : 9781668454190

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Frugal Innovation and Social Transitions in the Digital Era by Tunio, Muhammad Nawaz,Memon, Atia Bano Pdf

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,Ahuja, Vandana,Chaturvedi, Vijit,Jain, Vinamra
Publisher : IGI Global
Page : 338 pages
File Size : 43,7 Mb
Release : 2022-06-17
Category : Technology & Engineering
ISBN : 9781668452769

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Multidisciplinary Perspectives Towards Building a Digitally Competent Society by Bansal, Sanjeev,Ahuja, Vandana,Chaturvedi, Vijit,Jain, Vinamra Pdf

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,Osello, Anna
Publisher : IGI Global
Page : 765 pages
File Size : 49,9 Mb
Release : 2022-06-30
Category : Computers
ISBN : 9781668448557

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Handbook of Research on Implementing Digital Reality and Interactive Technologies to Achieve Society 5.0 by Ugliotti, Francesca Maria,Osello, Anna Pdf

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,Razzaq, Abdur,Fithriyah, Mia,Kamal, Akmal Nasri
Publisher : IGI Global
Page : 349 pages
File Size : 54,7 Mb
Release : 2022-12-19
Category : Computers
ISBN : 9781668461105

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Digital Psychology’s Impact on Business and Society by Anshari, Muhammad,Razzaq, Abdur,Fithriyah, Mia,Kamal, Akmal Nasri Pdf

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 : Carlo Lipizzi
Publisher : Springer Nature
Page : 160 pages
File Size : 49,8 Mb
Release : 2024-07-02
Category : Electronic
ISBN : 9783031537479

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Societal Impacts of Artificial Intelligence and Machine Learning by Carlo Lipizzi Pdf

Author : George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain
Publisher : Springer Nature
Page : 237 pages
File Size : 54,7 Mb
Release : 2021-08-05
Category : Technology & Engineering
ISBN : 9783030767945

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Advances in Machine Learning/Deep Learning-based Technologies by George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain Pdf

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 : Ethem Alpaydin
Publisher : MIT Press
Page : 282 pages
File Size : 46,8 Mb
Release : 2021-08-17
Category : Computers
ISBN : 9780262542524

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Machine Learning, revised and updated edition by Ethem Alpaydin Pdf

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 : KC Santosh,Loveleen Gaur
Publisher : Unknown
Page : 0 pages
File Size : 43,6 Mb
Release : 2021
Category : Electronic
ISBN : 9811667691

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Artificial Intelligence and Machine Learning in Public Healthcare by KC Santosh,Loveleen Gaur Pdf

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example-a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.

Author : Anupam Biswas,Vijay Bhaskar Semwal,Durgesh Singh
Publisher : Springer Nature
Page : 359 pages
File Size : 41,9 Mb
Release : 2023-10-24
Category : Computers
ISBN : 9783031124198

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Artificial Intelligence for Societal Issues by Anupam Biswas,Vijay Bhaskar Semwal,Durgesh Singh Pdf

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 : George A. Tsihrintzis,Lakhmi C. Jain
Publisher : Springer
Page : 430 pages
File Size : 52,6 Mb
Release : 2021-07-25
Category : Computers
ISBN : 3030497267

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Machine Learning Paradigms by George A. Tsihrintzis,Lakhmi C. Jain Pdf

At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial Intelligence and Machine Learning) is growing continuously and rapidly, developing both theoretically and towards applications in increasingly many and diverse other disciplines. The book at hand aims at exposing its reader to some of the most significant recent advances in deep learning-based technological applications and consists of an editorial note and an additional fifteen (15) chapters. All chapters in the book were invited from authors who work in the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into six parts, namely (1) Deep Learning in Sensing, (2) Deep Learning in Social Media and IOT, (3) Deep Learning in the Medical Field, (4) Deep Learning in Systems Control, (5) Deep Learning in Feature Vector Processing, and (6) Evaluation of Algorithm Performance. This research book is directed towards professors, researchers, scientists, engineers and students in computer science-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 deep learning-based technological applications. An extensive list of bibliographic references at the end of each chapter guides the readers to probe deeper into their application areas of interest.

Author : Neeraj Mohan
Publisher : CRC Press
Page : 297 pages
File Size : 46,8 Mb
Release : 2021-10
Category : Artificial intelligence
ISBN : 0367720922

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Artificial Intelligence, Machine Learning, and Data Science Technologies by Neeraj Mohan Pdf

"This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, etc. and how all countries around the world are feeling this impact. The book aims at low cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and post graduate students, researchers, academicians, institutions, and professionals that are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science"--

Author : Ch Satyanarayana,Xiao-Zhi Gao,Choo-Yee Ting,Naresh Babu Muppalaneni
Publisher : Unknown
Page : 0 pages
File Size : 45,9 Mb
Release : 2022
Category : Electronic
ISBN : 9811650918

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Machine Learning and Internet of Things for Societal Issues by Ch Satyanarayana,Xiao-Zhi Gao,Choo-Yee Ting,Naresh Babu Muppalaneni Pdf

This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.