The Future Of Cloud Computing Al Driven Deep Learning And Neural Network Innovations
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The Future Of Cloud Computing Al Driven Deep Learning And Neural Network Innovations
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Author : Sanjay Ramdas Bauskar
language : en
Publisher: BUDHA PUBLISHER
Release Date :
The Future Of Cloud Computing Al Driven Deep Learning And Neural Network Innovations written by Sanjay Ramdas Bauskar and has been published by BUDHA PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Transportation categories.
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Innovation Strategy For The Future Of Teaching And Learning
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Author : Mohammed Albakri
language : en
Publisher: Springer Nature
Release Date : 2025-06-14
Innovation Strategy For The Future Of Teaching And Learning written by Mohammed Albakri and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Business & Economics categories.
This book delves into the contemporary education paradox between traditional and digital education, with particular emphasis on the contemporary digital education tools and technologies that can facilitate education practices beyond pedagogy. The central argument of this book is that traditional education methods are no longer sufficient to meet the needs of education institutions and stakeholders, which is why digital education is the future to satisfy these needs. It considers the holistic nature of education practice beyond pedagogy and digital education technology to include other practices such as knowledge management, policy, and ethics, among other practices led by contemporary ICTs. It will be a vitally important resource for scholars and students of education practice, emerging technologies and innovation management, as well as business and organisational ethics.
Innovative Machine Learning Applications For Cryptography
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Author : Ruth, J. Anitha
language : en
Publisher: IGI Global
Release Date : 2024-03-04
Innovative Machine Learning Applications For Cryptography written by Ruth, J. Anitha and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Computers categories.
Data security is paramount in our modern world, and the symbiotic relationship between machine learning and cryptography has recently taken center stage. The vulnerability of traditional cryptosystems to human error and evolving cyber threats is a pressing concern. The stakes are higher than ever, and the need for innovative solutions to safeguard sensitive information is undeniable. Innovative Machine Learning Applications for Cryptography emerges as a steadfast resource in this landscape of uncertainty. Machine learning's prowess in scrutinizing data trends, identifying vulnerabilities, and constructing adaptive analytical models offers a compelling solution. The book explores how machine learning can automate the process of constructing analytical models, providing a continuous learning mechanism to protect against an ever-increasing influx of data. This book goes beyond theoretical exploration, and provides a comprehensive resource designed to empower academic scholars, specialists, and students in the fields of cryptography, machine learning, and network security. Its broad scope encompasses encryption, algorithms, security, and more unconventional topics like Quantum Cryptography, Biological Cryptography, and Neural Cryptography. By examining data patterns and identifying vulnerabilities, it equips its readers with actionable insights and strategies that can protect organizations from the dire consequences of security breaches.
Sustainability In Digital Transformation Era Driving Innovative Growth
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Author : Dr Rajeev Agrawal
language : en
Publisher: CRC Press
Release Date : 2024-08-29
Sustainability In Digital Transformation Era Driving Innovative Growth written by Dr Rajeev Agrawal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Computers categories.
In the past few weeks, OpenAI has released ChatGPT (Chat Generative Pre-trained Transformer). ChatGPT emerges as a formidable chatbot, surpassing various iterations of the GPT model, and plays a transformative role in user interactions with AI systems. In the dynamic realm of AI technologies, influential applications like ChatGPT, developed by OpenAI, mir□ror the transformative consideration of the simplicity on multiple facets of our daily lives. This potent technology holds the potential for significant positive changes, particularly in healthcare where the introduction of GPT and chatbot models opens promising avenues for disease treatment and technological innovation.
International Conference On Innovative Computing And Communications
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Author : Deepak Gupta
language : en
Publisher: Springer Nature
Release Date : 2020-08-01
International Conference On Innovative Computing And Communications written by Deepak Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-01 with Technology & Engineering categories.
This book includes high-quality research papers presented at the Third International Conference on Innovative Computing and Communication (ICICC 2020), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 21–23 February, 2020. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Intelligent Optimization Techniques For Business Analytics
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Author : Bansal, Sanjeev
language : en
Publisher: IGI Global
Release Date : 2024-04-15
Intelligent Optimization Techniques For Business Analytics written by Bansal, Sanjeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Business & Economics categories.
Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers. This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making.
Using Traditional Design Methods To Enhance Ai Driven Decision Making
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Author : Nguyen, Tien V. T.
language : en
Publisher: IGI Global
Release Date : 2024-01-10
Using Traditional Design Methods To Enhance Ai Driven Decision Making written by Nguyen, Tien V. T. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-10 with Computers categories.
In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.
Translating The Future Exploring The Impact Of Technology And Ai On Modern Translation Studies
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Author : Tian Chuanmao
language : en
Publisher: CSMFL Publications
Release Date : 2024-11-12
Translating The Future Exploring The Impact Of Technology And Ai On Modern Translation Studies written by Tian Chuanmao and has been published by CSMFL Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-12 with Language Arts & Disciplines categories.
We have entered into the era of artificial intelligence, neural machine translation, and especially large language models which have dramatically changed the landscape of human translation practices. On the one hand, translation technology has remarkably improved translation efficiency and reduced the cost of translation; on the other, it has brought about some issues related to translation quality, translator competence, translation ethics, and so on. This offers fertile ground for research on translation technology used in different scenarios. The eight chapters in this volume can be divided into two groups: the contributions by Chinese authors and those by authors from other countries. Among the Chinese contributors, Wang Fang makes a comparative study of the Chinese-English translations by ChatGPT Translate and Baidu Translate, concluding that ChatGPT’s human-computer interaction-based translation will bring new insights from the AI era to translation practitioners, translation learners, and technology developers. Yang Qiong makes a case study of the genre-based manual quality evaluation of Chinese-English translations produced by Google Translate, Baidu Translate, Sogou Translate, Youdao Translate, and human translators, suggesting that machine translation developers should leverage advanced AI language technology to develop an AI-assisted MT training system capable of interpreting nuances for more sophisticated translations. Zhang Junchi explores the use of ChatGPT in translation teaching, suggesting that neither teachers nor students should rely on ChatGPT too much, they have to think independently and judge whether the information is desirable, and a correct understanding of the interaction between translation teaching and technology should be fostered. Wang Juan makes a CiteSpace-based bibliometric analysis of the Web of Science (WoS) core collection publication (2000-2024) on translation technology, highlighting prominent scholars and institutions, foundational literature, thematic areas, developmental trajectories, and prospective directions in the realm of translation technology. Cui Cui investigates the Chinese student interpreters’ usage intention of ChatGPT-assisted translation with Q methodology, providing some pedagogical implications of learning interpreting for university students. As far as the contributors from other countries are concerned, Adelinde H. Meyer explores AI-powered quality assurance (QA) tools and techniques, reviewing how AI and ML refine translation quality management, examining the implications of AI in translation for stakeholders like translators, clients, and academics, and focusing on the challenges and prospects AI brings to the translation industry. Prateek Kumar reviews the main types of MT that have been proposed and developed over time: rule-based, statistical, hybrid, and neural MT, aiming to present an overview of the state-of-the-art in MT, identify key challenges and issues that MT faces today and tomorrow, and outline some possible ways out of them. Ecrin Yilmaz discusses how AI technologies, especially machine translation and natural language processing, have transformed the landscape of translation quality by making available automated support tools to translators, explaining the evolving roles of translators and clients, as well as AI acting as a mediator, pointing out some challenges, such as ethics considerations, data privacy, and biases, as well as some opportunities such as multilingual content creation and cross-cultural communications. It is hoped that this volume can provide some insights into the impact of technology and AI on translation research, and push forward the development of contemporary Translation Studies.
Sustainable Development Of Business 4 0
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Author : Elena G. Popkova
language : en
Publisher: Springer Nature
Release Date : 2025-06-28
Sustainable Development Of Business 4 0 written by Elena G. Popkova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-28 with Business & Economics categories.
This second volume is devoted to the disclosure of the peculiarities of sustainable development of business 4.0 as a subject of the digital economy. It systematizes the components of sustainable development of business 4.0 in the digital economy markets. The key areas of sustainable development management in business 4.0 in the digital economy markets are identified. Corporate environmental responsibility in support of sustainable development of business 4.0 in the digital economy markets is considered. The international experience of sustainable development of business 4.0 in the digital economy markets is highlighted. Recommendations for the sustainable development of business 4.0 in the digital economy of the "Decade of Action" are proposed.
Deep Learning Innovations For Securing Critical Infrastructures
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.
Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.