Download or read book Edge AI written by Xiaofei Wang and published by Springer Nature. This book was released on 2020-08-31 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

Download or read book Artificial Intelligence for Cloud and Edge Computing written by Sanjay Misra and published by Springer Nature. This book was released on 2022-01-13 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

Download or read book Playing to the Edge written by Michael V. Hayden and published by Penguin. This book was released on 2017-02-21 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the bestselling author of The Assault on Intelligence, an unprecedented high-level master narrative of America's intelligence wars, demonstrating in a time of new threats that espionage and the search for facts are essential to our democracy For General Michael Hayden, playing to the edge means playing so close to the line that you get chalk dust on your cleats. Otherwise, by playing back, you may protect yourself, but you will be less successful in protecting America. "Play to the edge" was Hayden's guiding principle when he ran the National Security Agency, and it remained so when he ran CIA. In his view, many shortsighted and uninformed people are quick to criticize, and this book will give them much to chew on but little easy comfort; it is an unapologetic insider's look told from the perspective of the people who faced awesome responsibilities head on, in the moment. How did American intelligence respond to terrorism, a major war and the most sweeping technological revolution in the last 500 years? What was NSA before 9/11 and how did it change in its aftermath? Why did NSA begin the controversial terrorist surveillance program that included the acquisition of domestic phone records? What else was set in motion during this period that formed the backdrop for the infamous Snowden revelations in 2013? As Director of CIA in the last three years of the Bush administration, Hayden had to deal with the rendition, detention and interrogation program as bequeathed to him by his predecessors. He also had to ramp up the agency to support its role in the targeted killing program that began to dramatically increase in July 2008. This was a time of great crisis at CIA, and some agency veterans have credited Hayden with actually saving the agency. He himself won't go that far, but he freely acknowledges that CIA helped turn the American security establishment into the most effective killing machine in the history of armed conflict. For 10 years, then, General Michael Hayden was a participant in some of the most telling events in the annals of American national security. General Hayden's goals are in writing this book are simple and unwavering: No apologies. No excuses. Just what happened. And why. As he writes, "There is a story here that deserves to be told, without varnish and without spin. My view is my view, and others will certainly have different perspectives, but this view deserves to be told to create as complete a history as possible of these turbulent times. I bear no grudges, or at least not many, but I do want this to be a straightforward and readable history for that slice of the American population who depend on and appreciate intelligence, but who do not have the time to master its many obscure characteristics."

Download or read book Mobile Edge Artificial Intelligence written by Yuanming Shi and published by Elsevier. This book was released on 2021-08-17 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI has achieved remarkable success in many application domains. As such, intelligent wireless networks will be designed to leverage advanced wireless communications and mobile computing technologies to support AI-enabled applications at various edge mobile devices with limited communication, computation, hardware and energy resources. Presents advanced key enabling techniques, including model compression, wireless MapReduce and wireless cooperative transmission Provides advanced 6G wireless techniques, including over-the-air computation and reconfigurable intelligent surface Includes principles for designing communication-efficient edge inference systems, communication-efficient training systems, and communication-efficient optimization algorithms for edge machine learning

Download or read book Fog Computing in the Internet of Things written by Amir M. Rahmani and published by Springer. This book was released on 2017-06-07 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements of applications, interoperability, federation and heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies in healthcare and smart space applications.

Download or read book Artificial Intelligence and Machine Learning for EDGE Computing written by Rajiv Pandey and published by Academic Press. This book was released on 2022-04-26 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. - Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing - Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers - Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints

Download or read book The EQ Edge written by Steven J. Stein and published by John Wiley & Sons. This book was released on 2011-04-26 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: REVISED AND UPDAT ED WITH NEW RESEARCH INTO EQ AND PERSONAL AND CAREER SUCCESS What is the formula for success at your job? As a spouse? A parent? A Little League baseball coach or behind the bench of a minor hockey team? What does it take to get ahead? To separate yourself from the competition? To lead a less stressful and happier existence? To be fulfilled in personal and professional pursuits? What is the most important dynamic of your makeup? Is it your A) intelligence quotient? or B) emotional quotient? If you picked "A", you are partly correct. Your intelligence quotient can be a predictor of things such as academic achievement. But your IQ is fixed and unchangeable. The real key to personal and professional growth is your emotional intelligence quotient, which you can nurture and develop by learning more about EQ from the international bestseller The EQ Edge. Authors Steven J. Stein and Howard E. Book show you how the dynamic of emotional intelligence works. By understanding EQ, you can build more meaningful relationships, boost your confidence and optimism, and respond to challenges with enthusiasm-all of which are essential ingredients of success. The EQ Edge offers fascinating-and sometimes surprising-insights into what it takes to be a top law-enforcement officer, lawyer, school principal, student, doctor, dentist or CEO. You will learn what the top EQ factors are across many different kinds of jobs, from business managers and customer service representatives to HR professionals and public servants. The EQ Edge will help you determine which personnel are the right fit for job opportunities and who among your staff are the most promising leaders and drivers of your business. And because all of us have other roles-parent, spouse, caregiver to aging parents, neighbor, friend-The EQ Edge also describes how everyone can be more successful in these relationships. "Finally, a practical and usable guide to what emotional intelligence is all about. This book peels the onion on what EQ really is and teaches the reader to assess their own EQ and how to increase it. This is the holy grail for career success."—Michael Feiner, Professor, Columbia Graduate School of Business and author of The Feiner Points of Leadership

Download or read book Edge Computing and Computational Intelligence Paradigms for the IoT written by Nagarajan, G. and published by IGI Global. This book was released on 2019-06-14 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

Download or read book Artificial Intelligence in Financial Markets written by Christian L. Dunis and published by Springer. This book was released on 2016-11-21 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and trading across a range of assets, including derivatives, exchange traded funds, debt and equity instruments. This section will focus on pattern recognition, market timing models, forecasting and trading of financial time series. Section II provides insights into macro and microeconomics and how AI techniques could be used to better understand and predict economic variables. Section III focuses on corporate finance and credit analysis providing an insight into corporate structures and credit, and establishing a relationship between financial statement analysis and the influence of various financial scenarios. Section IV focuses on portfolio management, exploring applications for portfolio theory, asset allocation and optimization. This book also provides some of the latest research in the field of artificial intelligence and finance, and provides in-depth analysis and highly applicable tools and techniques for practitioners and researchers in this field.

Download or read book Using Artificial Intelligence in Marketing written by Katie King and published by Kogan Page Publishers. This book was released on 2019-02-03 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is paving the way for the future of marketing and business transformation, yet many organizations struggle to know exactly how and where to integrate it. This book is the ultimate guide to embracing the opportunity that AI can bring for your marketing. With AI forecasted to boost global GDP by 14% by 2030, an efficient and sustainable AI marketing strategy is now essential to avoid losing the competitive edge. Using Artificial Intelligence in Marketing provides the definitive, practical framework needed for marketers to identify, apply and embrace the opportunity to maximize the results and business advancement that AI can bring. Streamlining efficiencies into every business practice, AI automates simpler, repetitive tasks with unrivalled accuracy, allowing sales and marketing teams to return their attention to where human interaction is most valuable: strategy, creativity and personal connection. Using Artificial Intelligence in Marketing outlines key marketing benefits such as accurate market research samples, immediate big data insights and brand-safe content creation, right through to the on-demand customer service that is now expected 24/7. It also explores the inevitable myths, concerns and ethical questions that can arise from the large-scale adoption of AI. This book is an essential read for every 21st century marketer.

Download or read book 6G Mobile Wireless Networks written by Yulei Wu and published by Springer Nature. This book was released on 2021-08-24 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the world’s first book on 6G Mobile Wireless Networks that aims to provide a comprehensive understanding of key drivers, use cases, research requirements, challenges and open issues that are expected to drive 6G research. In this book, we have invited world-renowned experts from industry and academia to share their thoughts on different aspects of 6G research. Specifically, this book covers the following topics: 6G Use Cases, Requirements, Metrics and Enabling Technologies, PHY Technologies for 6G Wireless, Reconfigurable Intelligent Surface for 6G Wireless Networks, Millimeter-wave and Terahertz Spectrum for 6G Wireless, Challenges in Transport Layer for Tbit/s Communications, High-capacity Backhaul Connectivity for 6G Wireless, Cloud Native Approach for 6G Wireless Networks, Machine Type Communications in 6G, Edge Intelligence and Pervasive AI in 6G, Blockchain: Foundations and Role in 6G, Role of Open-source Platforms in 6G, and Quantum Computing and 6G Wireless. The overarching aim of this book is to explore the evolution from current 5G networks towards the future 6G networks from a service, air interface and network perspective, thereby laying out a vision for 6G networks. This book not only discusses the potential 6G use cases, requirements, metrics and enabling technologies, but also discusses the emerging technologies and topics such as 6G PHY technologies, reconfigurable intelligent surface, millimeter-wave and THz communications, visible light communications, transport layer for Tbit/s communications, high-capacity backhaul connectivity, cloud native approach, machine-type communications, edge intelligence and pervasive AI, network security and blockchain, and the role of open-source platform in 6G. This book provides a systematic treatment of the state-of-the-art in these emerging topics and their role in supporting a wide variety of verticals in the future. As such, it provides a comprehensive overview of the expected applications of 6G with a detailed discussion of their requirements and possible enabling technologies. This book also outlines the possible challenges and research directions to facilitate the future research and development of 6G mobile wireless networks.

Download or read book The Intelligence Edge written by George Friedman and published by Century. This book was released on 1998 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to find and analyse information quickly and accurately can give a business an edge over its competitors. The authors show how to learn the skills that help transform widely accessible raw data into useful knowledge, by adapting techniques used by such organizations as the CIA.

Download or read book The AI Advantage written by Thomas H. Davenport and published by MIT Press. This book was released on 2019-08-06 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.

Download or read book Next Generation Internet of Things written by Vermesan, Ovidiu and published by River Publishers. This book was released on 2019-01-15 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment. The text builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment. The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual and augmented reality (VR/AR), and AI transformation. Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats. The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications. The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications. Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems. New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure. The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas.

Download or read book Cultural Intelligence written by Julia Middleton and published by Bloomsbury Publishing. This book was released on 2014-05-22 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Right now, vast amounts of time and money are being invested all round the world in building global brands and organisations. But where are the global leaders who will lead them? Leaders who can cross cultural boundaries: between east and west, and north and south; between faiths and beliefs; between public, private and voluntary sectors; and between the generations? Where are the leaders who can lead in what Julia calls the “magnet cities” of the world: where the world's most talented young people will convene? Because these people will simply turn their backs on bosses who demand that their teams think and behave alike. The race is on to develop leaders with CQ. And this book is designed to give readers a decisive head start. In the process, Julia has spoken to leaders all round the world, and invited them to tell their own CQ stories: successful and disastrous, serious and funny, poignant, pragmatic and often highly personal. The result is surprising, challenging and frequently uncomfortable (there is no simplistic advice here about how to exchange business cards in the correct local manner). But the ambition is huge. As is the prize for the next generation of leaders who see the opportunity she outlines - and grasp it.

Download or read book Blondie24 written by David B. Fogel and published by Morgan Kaufmann. This book was released on 2002 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains how a computer, by replicating the processes of Darwinian evolution, taught itself to play checkers far better than its creators could have programmed it to play. Fogel (editor, IEEE Transactions on Evolutionary Computation) considers the implications for evolutionary computations and artificial intelligence. Diagrams illustrate the evolutionary and computational processes at work, and the course of various games of checkers. Annotation copyrighted by Book News, Inc., Portland, OR.

Download or read book Deep Learning Applications Volume 2 written by M. Arif Wani and published by Springer. This book was released on 2020-12-14 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.