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Singh: Integration of Federated Learning
and Blockchain f or Smart Cities

Integration of Federated Learning and Blockchain f or Smart Cities

Develop the skills to stop AI-powered cyberattacks and leverage AI to improve your existing cybersecurity strategies.

Use AI to Protect Your Organization

Artificial Intelligence in Cybersecurity

Chapman & Hall/CRC Studies in Informatics Series

Presenting first-order and propositional methods as well as implementation issues, this book provides a state-of-the-art introduction to the automation of logic. It focuses on superposition calculus and related rewriting techniques. It also covers decision procedures for certain theories and includes real-world applications. Along with the relevant theory, each chapter contains implementation methods, historical background, suggestions for further reading, and software. Supplemental materials and resources are provided on the book's website and a solutions manual is available for qualifying instructors.

Presenting first-order and propositional methods as well as implementation issues, this book provides a state-of-the-art introduction to the automation of logic. It focuses on superposition calculus and related rewriting techniques. It also covers decision procedures for certain theories and includes real-world applications. Along with the relevant theory, each chapter contains implementation methods, historical background, suggestions for further reading, and software. Supplemental materials and resources are provided on the book’s website and a solutions manual is available for qualifying instructors.

Automation of Logic

Specialty Crops and Climate Change Modeling

Artificial Intelligence and Data Science in Agriculture

A superbly written work of narrative non-fiction by an exciting new talent, The Anti-Catastrophe League isa brilliant study of the people and their teams who are trying to save the world.

The Pioneers and Visionaries on a Quest to Save the World

The Anti-Catastrophe League

Drone Technology: Future Trends and Practical Appl ications

A story of unexpected love at the end of the world

Some Body Like Me

Sustainable Computing and Optimization

Trends and Future Challenges

Managing Sustainable Operations of Logistics and Supply Chain Management

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

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

Evolution and Applications of Quantum Computing

Integration of Federated Learning and Blockchain f or Smart Cities

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