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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Pan-African Artificial Intelligence and
Smart Systems

Pan-African Artificial Intelligence and Smart Systems

Third Pan-African Conference, PAAISS 2024, Durban, South Africa, December 4–6, 2024, Proceedings, Part I

Ninth EAI International Conference, SmartGift 2024, Hong Kong, China, December 9–10, 2024, Proceedings

Smart Grid and Innovative Frontiers in Telecommunications

5th EAI International Conference, HealthWear 2024, Isparta, Turkey, December 2–3, 2024, Proceedings

IoT Technologies and Wearables for HealthCare

20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part III

Security and Privacy in Communication Networks

First EAI International Conference, ICATECS 2024, Hyderabad, India, July 26–27, 2024, Proceedings, Part I

Advanced Technologies in Electronics, Communications and Signal Processing

First EAI International Conference, ICATECS 2024, Hyderabad, India, July 26–27, 2024, Proceedings, Part II

This book LNICST 622 constitutes the refereed proceedings of the Second EAI International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles, SmartSP 2024, held in New Orleans, LA, USA, during November 7–8, 2024. The 18 full papers were carefully reviewed an selected from 47 submissions. The proceedings focus on Emerging Applications, Hardware and Firmware Security, Adversarial Attacks in Autonomous Systems, Ethics, Privacy, Human-Centric Considerations and Security Techniques for Cyber-Physical Systems.

Second EAI International Conference, SmartSP 2024, New Orleans, LA, USA, November 7–8, 2024, Proceedings

Security and Privacy in Cyber-Physical Systems and Smart Vehicles

Third Pan-African Conference, PAAISS 2024, Durban, South Africa, December 4–6, 2024, Proceedings, Part II

The three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14–17, 2024.&nbsp;The 62 full papers were carefully reviewed and selected from 173 submissions. They are categorized under the topical sections as follows:&nbsp;&nbsp;Edge computing &amp; Task schedulingDeep Learning and applicationBlockchain applicationsSecurity and Privacy ProtectionRepresentation learning &amp; Collaborative workingGraph neural networks &amp; Recommendation systemsFederated Learning and application

20th EAI International Conference, CollaborateCom 2024, Wuzhen, China, November 14–17, 2024, Proceedings, Part I

Collaborative Computing: Networking, Applications and Worksharing

20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part I

8th EAI International Conference, SGIoT 2024, Taichung, Taiwan, November 23–24, 2024, Proceedings

Smart Grid and Internet of Things

20th EAI International Conference, CollaborateCom 2024, Wuzhen, China, November 14–17, 2024, Proceedings, Part II

7th EAI International Conference, 6GN 2024, Chongqing, China, October 19–20, 2024, Proceedings

6GN for Future Wireless Networks

Digital Geographies

Global Digital Divides in the COVID-19 Era examines global digital divides prior to and during the pandemic, emphasizing internet and technology trends, spatial distributions, determinants, explanations, policy implications, and the aspiration of an equitable digital society. It analyzes purposeful use of the internet in the world and the majority of its major regions and countries. For digitally underserved economies, such as sub-Saharan Africa and parts of the Middle East, it is still appropriate to consider the traditional measures of technology access and use. In advanced economies, AI and machine learning are examined. This book identifies where deficits are located geographically, and also where the hot spots and cold spots are for levels of use and purposeful use of technologies. It points out the impacts of these technologies before and during the COVID-19 pandemic. For mature, inclusive, and equitable digital societies worldwide, attention has shifted from gaps in access to gaps in purposeful use of these technologies. For broadband, purposeful uses include e-commerce, e-health, e-entertainment, e-communication, e-education, and remote work. This book provides actual accounts of the digital divide challenges and successes in several case studies, such as the trailing usage of ICTs in Bolivia, the heightened purposeful use of e-commerce in Sweden and Denmark, and AI use in the US Silicon Valley. Finally, it recommends policies and steps that various national, state, and provincial governments can develop to narrow digital divides and improve the equity and inclusion of all their diverse citizens.

Purposeful Use of the Internet and Technologies

Global Digital Divides in the COVID-19 Era

Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them. Consistently observing equipment to keep it from malfunctioning is the procedure of predictive maintenance. Predictive maintenance includes a periodic maintenance schedule and anticipates equipment failure rather than responding to equipment problems. Currently, the industry is struggling to adopt a viable and trustworthy predictive maintenance plan for machinery. The goal of predictive maintenance is to reduce the amount of unanticipated downtime that a machine experiences due to a failure in a highly automated manufacturing line. In recent years, manufacturing across the globe has increasingly embraced the Industry 4.0 concept. Greater solutions than those offered by conventional maintenance are promised by machine learning, revealing precisely how AI and machine learning-based models are growing more prevalent in numerous industries for intelligent performance and greater productivity. Artificial and Machine Learning for Industry 4.0 emphasizes technological developments that could have great influence on an industrial revolution and introduces the fundamental technologies responsible for directing the development of innovative firms. Decision-making requires a vast intake of data and customization in the manufacturing process, which managers and machines both deal with on a regular basis. One of the biggest issues in this field is the capacity to foresee when maintenance of assets is necessary. Leaders in the sector will have to make careful decisions about how, when, and where to employ these technologies. Artificial and Machine Learning for Industry 4.0 offers contemporary technological advancements in AI and machine learning from an Industry 4.0 perspective, looking at their prospects, obstacles, and potential applications.

Artificial Intelligence and Machine Learning for Industry 4.0

Integration of Federated Learning and Blockchain f or Smart Cities

Learn how to manage the risks and opportunities of agentic AI with this practical guide to ensuring the safe and beneficial developments of advanced AI systems.

Principles and Responsible Practices

Safer Agentic AI

Depending on who you ask, artificial intelligence is our salvation or our doom; an overhyped, bigoted artist or the ticket to immortality and utopian abundance; just another tech fad or the last invention we need ever make. The AI discourse is confusing, messy, and frustrating. But the technology — and our response to it — will shape the future, whether or not we’re part of the conversation.
Obsolete is&nbsp;for those who are interested in learning more about AI, but unsure of where to start and who to believe. They may feel intimidated by the technical jargon, put off by dry and abstract prose, or skeptical of the loudest voices on the issue (like Elon Musk and Sam Altman). Obsolete will introduce readers to the basics of AI, the idea that it could lead to human extinction, the roiling three-sided debate surrounding extinction fears, and the people and companies trying to build artificial general intelligence (AGI) — that which can outwit humans across the board. The book will grapple with the core arguments animating the AI debates, which are, by turns, uncritically parroted and unduly dismissed. It will also cut through industry hype while seriously entertaining the implications of AGI.
The risk that AGI could result in our extinction is being recognized by a significant and growing number of leading AI researchers, industrialists, and policymakers, along with the wider public. Existential risk from AI has been explored in other books, but Obsolete will be the first to center its analysis on how both capitalist and great power competition make AI more dangerous.
Obsolete will also tackle questions like: Can machines actually outsmart humanity? If so, when could that happen? If AGI is possible, is it inevitable? Why are people trying to build a technology they claim could end the world? Is the idea of AI-driven extinction the product of a big tech conspiracy aiming to hype the technology and control its regulation? Why has the left mostly ignored or dismissed existential risk from AI? Why do some powerful techies welcome human extinction? How could AI enable stable authoritarian regimes? How could killer robots reshape war and the balance of power? What do China and the US want from AI? And why has it become the front line of their brewing Cold War? And finally: What can and should the left do about it?

Power, Profit, And The Race For Machine Superintelligence

Obsolete

De Gruyter Series in Measurement Sciences

Advances and Applications

Artificially Intelligent Sensing

Drone Technology: Future Trends and Practical Appl ications

Medical and Technical Analysis and Signal Processing Perspectives

Exploring Infant Cry

Specialty Crops and Climate Change Modeling

Artificial Intelligence and Data Science in Agriculture

Algorithms have become the key organizer through which power is enacted in our society. A huge amount of data regarding our daily routines are monitored and analyzed to make recommendations that manage, control, and lead our behaviors in everyday life. AI, Humans, and Misinformation: How Does AI Alter Human Behavior and How Do Humans Influence Algorithmic Misinformation? is a guide to understanding the dynamics of AI and misinformation in human contexts by addressing meaningful questions-How does AI alter human behavior and how do humans influence algorithmic decision-making? In answering these questions, this book examines the role of misinformation, disinformation, and fake news, and shows readers how to develop AI methods and algorithms that combat misinformation by using AI design choices that provide users and developers alike with meaningful control over AI. This book brings together various perspectives on algorithms into an integrated conceptual framework, and provides a broad socio-technical analysis, addressing critical and ethical issues of misinformation and fake news. The book offers a compelling insight into the misinformation phenomenon and the future of AI-based society. Readers will find an integrated technical analysis of the logic and social implications of algorithmic processes. Reporting from the cutting edge of critical technical methods and research, the result is useful and constructive for developing the relations between algorithms and humans. This is an imperative methodology for understanding what is at stake as industry and government use AI to reshape the world.

Decoding Bias, Algorithms, and Trust

Minds, Machines, and Misinformation

Springer Handbooks of Computational Statistics

Handbook of Blockchain Analytics

Develop AI solutions and projects that create real and effective business value with this guide to leading a successful enterprise AI program.

Optimize AI Teams for Value Creation

Leading Enterprise AI Programs

Pan-African Artificial Intelligence and Smart Systems

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

Weitere Titel der Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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