Proceedings Of International Conference On Generative Ai Cryptography And Predictive Analytics
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Proceedings Of International Conference On Generative Ai Cryptography And Predictive Analytics
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Author : Deepali Virmani
language : en
Publisher: Springer Nature
Release Date : 2025-03-08
Proceedings Of International Conference On Generative Ai Cryptography And Predictive Analytics written by Deepali Virmani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-08 with Computers categories.
The book presents the proceedings of the International Conference on Generative AI, Cryptography and Predictive Analytics (ICGCPA 2024), held at VIPS-TC, School of Engineering and Technology, Pitampura, Delhi, India, during June 28 – 29, 2024. It covers Generative AI's role in problem-solving, examining applications in image synthesis, content creation, healthcare, and optimization challenges. This book is a valuable resource for postgraduate students in various engineering disciplines.
Machine Learning And Cryptographic Solutions For Data Protection And Network Security
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Author : Ruth, J. Anitha
language : en
Publisher: IGI Global
Release Date : 2024-05-31
Machine Learning And Cryptographic Solutions For Data Protection And Network Security 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 2024-05-31 with Computers categories.
In the relentless battle against escalating cyber threats, data security faces a critical challenge – the need for innovative solutions to fortify encryption and decryption processes. The increasing frequency and complexity of cyber-attacks demand a dynamic approach, and this is where the intersection of cryptography and machine learning emerges as a powerful ally. As hackers become more adept at exploiting vulnerabilities, the book stands as a beacon of insight, addressing the urgent need to leverage machine learning techniques in cryptography. Machine Learning and Cryptographic Solutions for Data Protection and Network Security unveil the intricate relationship between data security and machine learning and provide a roadmap for implementing these cutting-edge techniques in the field. The book equips specialists, academics, and students in cryptography, machine learning, and network security with the tools to enhance encryption and decryption procedures by offering theoretical frameworks and the latest empirical research findings. Its pages unfold a narrative of collaboration and cross-pollination of ideas, showcasing how machine learning can be harnessed to sift through vast datasets, identify network weak points, and predict future cyber threats.
Generative Ai In Creative Industries
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Author : Amina Al-Marzouqi
language : en
Publisher: Springer Nature
Release Date : 2025-07-04
Generative Ai In Creative Industries written by Amina Al-Marzouqi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Computers categories.
This book compiles a comprehensive collection of pioneering research that addresses the multifaceted challenges and theoretical aspects of Generative AI in creative industries. Generative AI, a groundbreaking technological development, has been carving a significant niche within the creative industries. This innovative form of AI, exemplified by models like OpenAI's ChatGPT, is not only transforming the landscape of human-like text generation but is also radically reshaping creative fields such as music, literature, and visual arts. In the realm of creative industries, Generative AI serves as a catalyst for artistic innovation, offering tools for artists to push the boundaries of creativity. It assists in composing music, generating unique artworks, and even writing stories or scripts, thereby democratizing the creative process. The integration of Generative AI in these industries promises a synergy between human creativity and machine intelligence, potentially leading to novel genres and forms of art. Despite its transformative potential, the incorporation of Generative AI in creative fields is not devoid of challenges. Ethical considerations, such as authorship rights, originality, and the impact on traditional creative roles, are pivotal. Moreover, the authenticity and emotional depth of AI-generated content compared to human-created art is a subject of ongoing debate. The book aims to feature original manuscripts encompassing a wide array of topics, from the development of new generative technologies and their practical application in creative fields, to critical analysis of the ethical, legal, and cultural implications of these systems. By gathering the latest advancements in this field and spotlighting emerging avenues for research, this book serves as an invaluable resource and guide for researchers, artists, and practitioners operating at the intersection of Generative AI and creative industries.
The Ethical Frontier Of Ai And Data Analysis
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2024-03-04
The Ethical Frontier Of Ai And Data Analysis 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 2024-03-04 with Computers categories.
In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially.
Generative Ai Cybersecurity And Ethics
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Author : Mohammad Rubyet Islam
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-09
Generative Ai Cybersecurity And Ethics written by Mohammad Rubyet Islam and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
“Generative AI, Cybersecurity, and Ethics’ is an essential guide for students, providing clear explanations and practical insights into the integration of generative AI in cybersecurity. This book is a valuable resource for anyone looking to build a strong foundation in these interconnected fields.” —Dr. Peter Sandborn, Professor, Department of Mechanical Engineering, University of Maryland, College Park “Unchecked cyber-warfare made exponentially more disruptive by Generative AI is nightmare fuel for this and future generations. Dr. Islam plumbs the depth of Generative AI and ethics through the lens of a technology practitioner and recognized AI academician, energized by the moral conscience of an ethical man and a caring humanitarian. This book is a timely primer and required reading for all those concerned about accountability and establishing guardrails for the rapidly developing field of AI.” —David Pere, (Retired Colonel, United States Marine Corps) CEO & President, Blue Force Cyber Inc. Equips readers with the skills and insights necessary to succeed in the rapidly evolving landscape of Generative AI and cyber threats Generative AI (GenAI) is driving unprecedented advances in threat detection, risk analysis, and response strategies. However, GenAI technologies such as ChatGPT and advanced deepfake creation also pose unique challenges. As GenAI continues to evolve, governments and private organizations around the world need to implement ethical and regulatory policies tailored to AI and cybersecurity. Generative AI, Cybersecurity, and Ethics provides concise yet thorough insights into the dual role artificial intelligence plays in both enabling and safeguarding against cyber threats. Presented in an engaging and approachable style, this timely book explores critical aspects of the intersection of AI and cybersecurity while emphasizing responsible development and application. Reader-friendly chapters explain the principles, advancements, and challenges of specific domains within AI, such as machine learning (ML), deep learning (DL), generative AI, data privacy and protection, the need for ethical and responsible human oversight in AI systems, and more. Incorporating numerous real-world examples and case studies that connect theoretical concepts with practical applications, Generative AI, Cybersecurity, and Ethics: Explains the various types of cybersecurity and describes how GenAI concepts are implemented to safeguard data and systems Highlights the ethical challenges encountered in cybersecurity and the importance of human intervention and judgment in GenAI Describes key aspects of human-centric AI design, including purpose limitation, impact assessment, societal and cultural sensitivity, and interdisciplinary research Covers the financial, legal, and regulatory implications of maintaining robust security measures Discusses the future trajectory of GenAI and emerging challenges such as data privacy, consent, and accountability Blending theoretical explanations, practical illustrations, and industry perspectives, Generative AI, Cybersecurity, and Ethics is a must-read guide for professionals and policymakers, advanced undergraduate and graduate students, and AI enthusiasts interested in the subject.
Advanced Applications Of Generative Ai And Natural Language Processing Models
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Author : Obaid, Ahmed J.
language : en
Publisher: IGI Global
Release Date : 2023-12-21
Advanced Applications Of Generative Ai And Natural Language Processing Models written by Obaid, Ahmed J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Computers categories.
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.
Proceedings Of The International Conference On Computational Innovations And Emerging Trends Icciet 2024
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Author : K. Reddy Madhavi
language : en
Publisher: Springer Nature
Release Date : 2024-07-30
Proceedings Of The International Conference On Computational Innovations And Emerging Trends Icciet 2024 written by K. Reddy Madhavi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.
This is an open access book. International Conference on Computational Innovations and Emerging Trends ICCIET- 2K24 ICCIET’24 has emerged as an enduring techno-platform to connect education experts and passionate educators all over the world for improving the potential for excellence in engineering education. It provides a premier interdisciplinary forum for researchers, engineers, academicians to present and discuss the most recent trends, innovations, concerns, practical challenges encountered, solutions adopted in the field of Computational Intelligence with its allied areas. The conference also aims to provide a platform for scientists, scholars, students from universities all around the world and the industry to present ongoing research activities and hence to foster research relations between the universities and the industry. Scope of the Conference The conference focuses on mutually sharing the advances and innovative technologies for the scientists, scholars, engineers and students from different universities and industry practitioners, to present ongoing research activities in the recent trends of Computer Science and Engineering This conference addresses the relevant topics and research issues in the vicinity of Computational Intelligence and hence to foster collaborations among stakeholders and researchers from distinct universities, national laboratories, government funding bodies and the industry.
Generative Ai Insights For Financial Decision Making
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Author : Irfan, Mohammad
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Generative Ai Insights For Financial Decision Making written by Irfan, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Business & Economics categories.
Generative AI emerges as a powerful tool in the financial sector, offering new insights and capabilities that transform decision-making processes. By synthesizing complex datasets, generative models can uncover patterns, simulate market scenarios, and generate forecasts with greater speed and precision than traditional methods. These models support a range of applications, enabling institutions to make more informed, data-driven decisions. As generative AI evolves, it presents both opportunities and challenges, calling for a careful balance between innovation, transparency, and regulatory compliance in financial operations. Generative AI Insights for Financial Decision Making explores the implications of blockchain and generative AI in the finance sector. It examines best practices for optimizing operations and developing innovative financial products that meet evolving consumer demands. This book covers topics such as financial security, blockchain, and payment systems, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.
Handbook Of Research On Ai And Knowledge Engineering For Real Time Business Intelligence
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Author : Hiran, Kamal Kant
language : en
Publisher: IGI Global
Release Date : 2023-04-04
Handbook Of Research On Ai And Knowledge Engineering For Real Time Business Intelligence written by Hiran, Kamal Kant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-04 with Business & Economics categories.
Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.
Accelerating Strategic Changes For Digital Transformation In The Healthcare Industry
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Author : Patricia Ordonez de Pablos
language : en
Publisher: Elsevier
Release Date : 2023-05-30
Accelerating Strategic Changes For Digital Transformation In The Healthcare Industry written by Patricia Ordonez de Pablos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-30 with Science categories.
Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry discusses innovative conceptual frameworks, tools and solutions to tackle the challenges of mitigating major disruption caused by COVID-19 in the healthcare sector and society. It emphasizes global case studies and empirical studies, providing a comprehensive view of best lessons on digital tools to manage the health crisis. The book focuses on the role of advances in digital and collaborative technologies to offer rapid and effective tools for better health solutions for new and emerging health problems. Researchers, students, policymakers and members of the biomedical and medical fields will find this information invaluable. Specially, it pays attention to how information technologies help us in the current global health emergency and the coronavirus epidemic response, gaining more understanding of the new coronavirus and helping to contain the outbreak. In addition, it explores how these new tools and digital health solutions can support the economic and social recovery in the post-pandemic world. - Discusses best experiences, tools and solutions provided by IT to solve the global disruption caused by the COVID-19 pandemic in societies, healthcare infrastructures and health workers - Presents case studies with experiences of applications of digital healthcare solutions from around the world - Encompasses the point of views of renown researchers and academics globally that are working collaboratively to explore new views and frameworks to develop solutions for emergent problems in the healthcare sector