Digital Ecosystems: Interconnecting Advanced Networks with AI Applications
Author: Andriy Luntovskyy
Publisher: Springer Nature
Published:
Total Pages: 918
ISBN-13: 3031612213
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Innovations in Smart Cities Applications Volume 7
Author: Mohamed Ben Ahmed
Publisher: Springer Nature
Published:
Total Pages: 637
ISBN-13: 3031538242
DOWNLOAD EBOOKArtificial Intelligence for a Better Future
Author: Bernd Carsten Stahl
Publisher: Springer Nature
Published: 2021-03-17
Total Pages: 128
ISBN-13: 3030699781
DOWNLOAD EBOOKThis open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Artificial Intelligence and Sustainability
Author: Mohamed Ahmed Alloghani
Publisher: Springer Nature
Published: 2023-11-25
Total Pages: 228
ISBN-13: 3031452143
DOWNLOAD EBOOKThis book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences.
Advanced Network Security Techniques
Author: Cybellium
Publisher: Cybellium
Published:
Total Pages: 227
ISBN-13: 1836797591
DOWNLOAD EBOOKWelcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
*The Perfect Life: A Guide to Wellness and Personal Growth*
Author: Loveneesh Kumar
Publisher: Blue Rose Publishers
Published: 2024-10-28
Total Pages: 177
ISBN-13:
DOWNLOAD EBOOK"The Perfect Life: A Comprehensive Guide to Personal Growth and Wellness" offers readers an all-encompassing approach to personal transformation. Covering topics such as public speaking, the law of attraction, nutrition, and mindset development, this book provides practical techniques and evidence-based strategies to help individuals lead fulfilling lives. Each chapter focuses on essential areas of life improvement, from mastering communication skills and positive thinking to building healthy habits, visualization techniques, and incorporating yoga and strength training into daily routines. It also explores the integration of AI in personal growth, highlighting how modern tools can enhance creativity and productivity. This guide is perfect for anyone looking to transform their mindset, achieve personal growth, and lead a more fulfilling life.
Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)
Author: Hassan, Ahdi
Publisher: IGI Global
Published: 2024-05-17
Total Pages: 471
ISBN-13:
DOWNLOAD EBOOKIn the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission.Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT.
Handbook on Digital Business Ecosystems
Author: Baumann, Sabine
Publisher: Edward Elgar Publishing
Published: 2022-04-22
Total Pages: 784
ISBN-13: 1839107197
DOWNLOAD EBOOKThis timely Handbook on Digital Business Ecosystems provides a comprehensive overview of current research and industrial applications as well as suggestions for future developments. Multi-disciplinary in scope, the Handbook includes rigorously researched contributions from over 80 global expert authors from a variety of areas including administration and management, economics, computer science, industrial engineering, and media and communication.
Digital Ecosystems: Interconnecting Advanced Networks with AI Applications
Author: Andriy Luntovskyy
Publisher: Springer
Published: 2024-08-14
Total Pages: 0
ISBN-13: 9783031612206
DOWNLOAD EBOOKThis book covers several cutting-edge topics and provides a direct follow-up to former publications such as “Intent-based Networking” and “Emerging Networking”, bringing together the latest network technologies and advanced AI applications. Typical subjects include 5G/6G, clouds, fog, leading-edge LLMs, large-scale distributed environments with specific QoS requirements for IoT, robots, machine and deep learning, chatbots, and further AI solutions. The highly promising combination of smart applications, network infrastructure, and AI represents a unique mix of real synergy. Special aspects of current importance such as energy efficiency, reliability, sustainability, security and privacy, telemedicine, e-learning, and image recognition are addressed too. The book is suitable for students, professors, and advanced lecturers for networking, system architecture, and applied AI. Moreover, it serves as a basis for research and inspiration for interested professionals looking for new challenges.
Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Published: 2020-06-21
Total Pages: 385
ISBN-13: 0128184396
DOWNLOAD EBOOKArtificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
