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Artificial intelligence

See below for a selection of the latest books from Artificial intelligence category. Presented with a red border are the Artificial intelligence books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Artificial intelligence books and those from many more genres to read that will keep you inspired and entertained. And it's all free!

Coronavirus News, Markets and AI

Coronavirus News, Markets and AI

Author: Pankaj Sharma Format: Paperback / softback Release Date: 24/12/2020

Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular. In an age where information, both real and fake, travels in the blink of an eye and significantly alters market sentiment daily, this book is a blow by blow account of economic impact of the COVID-19 pandemic. The volume: - Details how AI driven machines capture, analyse and score relevant on-ground news sentiment to analyse the dynamics of market sentiment, how markets react to good or bad news across 'short term' and 'long term'; - Investigates what have been the most prevalent news sentiment during the pandemic, and its linkages to crude oil prices, high profile cases, impact of local news, and even the impact of Trump's policies; - Discusses the impact on what people think and discuss, how the COVID-19 crisis differs from the Global Financial Crisis of 2008, the unprecedented disruptions in supply chains and our daily lives; - Showcases how easy accessibility to big data methods, cloud computing, and computational methods and the universal applicability of these tool to any topic can help analyse extract the related news sentiment in allied fields. Accessible, nuanced and insightful, this book will be invaluable for business professionals, bankers, media professionals, traders, investors, and investment consultants. It will also be of great interest to scholars and researchers of economics, commerce, science and technology studies, computer science, media and culture studies, public policy and digital humanities.

Content-Based Image Classification

Content-Based Image Classification

Author: Rik Das Format: Hardback Release Date: 18/12/2020

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB (R) codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/

Security and Organization within IoT and Smart Cities

Security and Organization within IoT and Smart Cities

Author: Kayhan Zrar (Koya University, Iraq) Ghafoor Format: Hardback Release Date: 17/12/2020

This book aims to provide the latest research developments and results in the domain of AI techniques for smart cyber ecosystems. It presents a holistic insight into AI-enabled theoretic approaches and methodology in IoT networking, security analytics using AI tools, and network automation, which ultimately enable intelligent cyber space. This book will be a valuable resource for students, researchers, engineers, policy makers working in various areas related to cybersecurity and privacy for Smart cities. This book includes chapters titled An Overview of the Artificial Intelligence Evolution and its Fundamental Concepts, and their relationship with IoT Security , Smart City: Evolution and fundamental concepts , Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment , A conceptual model for optimal resource sharing of networked microgrids focusing uncertainty - paving path to eco-friendly smart cities , A Novel Framework for Cyber Secure Smart City , Contemplate Security Challenges & Threats for Smart Cities , Self-Monitoring Obfuscated IoT Network , Introduction to Side Channel Attacks and Investigation of Power Analysis & Fault Injection Attack Techniques , Collaborative Digital Forensic Investigations Model for Law Enforcement: Oman as a Case Study , Internet of Things Security and Privacy in Smart Cities: Status and Challenges , 5G Security and the Internet of Things , The Problem of Deepfake Videos and How to Counteract Them in Smart Cities , The Rise of Ransomware aided by Vulnerable IoT devices , and Security Issues in Self-Driving Cars within Smart Cities , PhishFree: A Honeybee Inspired System for Smart City Free of Phishing Attacks , Trust Aware Crowd Associated Network-based Approach for Optimal Waste Management in Smart Cities This book provides state-of-the-art of research results and discusses current issues, challenges, solutions and recent trends related to security and organization within IoT and Smart Cities. We expect this book to be of significant importance not only to researchers and practitioners in academia, government agencies and industries, but also for policy makers and system managers. We anticipate this book to be a valuable resource for all those working in this new and exciting area, and a must have for all university libraries.

Augmented Intelligence

Augmented Intelligence

Author: Judith Hurwitz, Henry Morris, Candace Sidner, Daniel Kirsch Format: Paperback / softback Release Date: 13/12/2020

The AI revolution is moving at a breakneck speed. Organizations are beginning to invest in innovative ways to monetize their data through the use of artificial intelligence. Businesses need to understand the reality of AI. To be successful, it is imperative that organizations understand that augmented intelligence is the secret to success. Augmented Intelligence: The Business Power of Human-Machine Collaboration is about the process of combining human and machine intelligence. This book provides business leaders and AI data experts with an understanding of the value of augmented intelligence and its ability to help win competitive markets. This book focuses on the requirement to clearly manage the foundational data used for augmented intelligence. It focuses on the risks of improper data use and delves into the ethics and governance of data in the era of augmented intelligence. In this book, we explore the difference between weak augmentation that is based on automating well understood processes and strong augmentation that is designed to rethink business processes through the inclusion of data, AI and machine learning. What experts are saying about Augmented Intelligence The book you are about to read is of great importance because we increasingly rely on machine learning and AI. Therefore, it is critical that we understand the ability to create an environment in which businesses can have the tools to understand data from a holistic perspective. What is imperative is to be able to make better decisions based on an understanding of the behavior and thinking of our customers so that we can take the best next action. This book provides a clear understanding of the impact of augmented intelligence on both society and business. -Tsvi Gal, Managing Director, Enterprise Technology and Services, Morgan Stanley Our mission has always been to help clients apply AI to better predict and shape future outcomes, empower higher value work, and automate how work gets done. I have always said, 'AI will not replace managers, but managers who use AI will replace managers who don't.' This book delves into the real value that AI promises, to augment existing human intelligence, and in the process, dispels some of the myths around AI and its intended purpose. -Rob Thomas, General Manager, Data and AI, IBM

Understanding Artificial Intelligence

Understanding Artificial Intelligence

Author: Nicolas (University Pierre & Marie Curie, Paris, France) Sabouret Format: Hardback Release Date: 10/12/2020

Artificial Intelligence (AI) fascinates, challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI - a possible apocalypse or Eden on earth. However, only a few people truly understand what AI is, what it can do and what its limitations are. Understanding Artificial Intelligence explains, through a straightforward narrative and amusing illustrations, how AI works. It is written for a non-specialist reader, adult or adolescent, who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called intelligent machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers, engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field.

Understanding Artificial Intelligence

Understanding Artificial Intelligence

Author: Nicolas (University Pierre & Marie Curie, Paris, France) Sabouret Format: Paperback / softback Release Date: 10/12/2020

Artificial Intelligence (AI) fascinates, challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI - a possible apocalypse or Eden on earth. However, only a few people truly understand what AI is, what it can do and what its limitations are. Understanding Artificial Intelligence explains, through a straightforward narrative and amusing illustrations, how AI works. It is written for a non-specialist reader, adult or adolescent, who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called intelligent machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers, engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field.

The Digital Ape

The Digital Ape

Author: Sir Nigel Shadbolt, Roger Hampson Format: Paperback / softback Release Date: 08/12/2020

The smart-machines revolution is reshaping our lives and our societies. Here, Sir Nigel Shadbolt, one of the world's leading authorities on artificial intelligence, and Roger Hampson dispel terror, confusion, and misconception. We are not about to be elbowed aside by a rebel army of super-intelligent robots of our own creation. We were using tools before we became Homo sapiens, and will continue to build and master them, no matter how complicated they become. How we exercise that control-in our private lives, in employment, in politics-and make the best of the wonderful opportunities, will determine our collective future well-being. Chapter by chapter, The Digital Ape outline how our choices and the use and adaptation of the tools we've created can lead to opportunities for the environment (both built and natural), health, and our security. Shadbolt and Hampson are uniquely well-suited to draw on historical precedent and technical know-how to offer a vision of the future that is exciting, rather than nerve-wracking, to contemplate.

Artificial Neural Network Applications in Business and Engineering

Artificial Neural Network Applications in Business and Engineering

Author: Quang Hung Do Format: Paperback / softback Release Date: 30/11/2020

In today's modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.

Advancements in Models and Applications of Agents and Multi-Agent Systems

Advancements in Models and Applications of Agents and Multi-Agent Systems

Author: Rinkaj Goyal Format: Paperback / softback Release Date: 30/11/2020

Modern-day design problems focus on building systems that can operate independently in a networked and distributed environment while also interacting with other components. Multi-agent systems have been reported to be effectively used in the modeling, designing, and implementation of distributed systems in computational contexts where a global control is almost missing. With the increasing use of multi-agent systems as a modeling alternative, research in agent-based modeling is gaining momentum. Advancements in Models and Applications of Agents and Multi-Agent Systems provides emerging research exploring the theoretical and practical aspects of agent-based systems and implementations within economics, engineering, and the business field. Featuring coverage on a broad range of topics such as knowledge discovery, socio-ecological systems, and human-computer interfaces, this book is ideally designed for practitioners, researchers, developers, policymakers, academicians, engineers, educators, and students seeking research on modern developments in agent-based modeling.

Artificial Neural Network Applications in Business and Engineering

Artificial Neural Network Applications in Business and Engineering

Author: Quang Hung Do Format: Hardback Release Date: 30/11/2020

In today's modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.

Building Smart and Secure Environments Through the Fusion of Virtual Reality, Augmented Reality, and the IoT

Building Smart and Secure Environments Through the Fusion of Virtual Reality, Augmented Reality, and the IoT

Author: Nadesh RK Format: Hardback Release Date: 30/11/2020

As technology continues to advance in today's market, the unification between a physical and digital environment is imminent. Organizations are looking towards technologies such as virtual reality, cloud computing, and the internet of things (IoT) to assist them in building a more intelligent environment. Building Smart and Secure Environments Through the Fusion of Virtual Reality, Augmented Reality, and the IoT is a pivotal reference source that provides vital research on integrating a digital environment in professional settings through IoT design and virtual reality. While highlighting topics such as sensor networks, deep learning techniques, and knowledge management, this publication explores developing methods of smart security as well as protocol support in IoT devices. This book is ideally designed for developers, researchers, IT practitioners, network professionals, educators, and students seeking current research on modern applications of virtual and augmented reality in professional environments.

Building Smart and Secure Environments Through the Fusion of Virtual Reality, Augmented Reality, and the IoT

Building Smart and Secure Environments Through the Fusion of Virtual Reality, Augmented Reality, and the IoT

Author: Nadesh RK Format: Paperback / softback Release Date: 30/11/2020

As technology continues to advance in today's market, the unification between a physical and digital environment is imminent. Organizations are looking towards technologies such as virtual reality, cloud computing, and the internet of things (IoT) to assist them in building a more intelligent environment. Building Smart and Secure Environments Through the Fusion of Virtual Reality, Augmented Reality, and the IoT is a pivotal reference source that provides vital research on integrating a digital environment in professional settings through IoT design and virtual reality. While highlighting topics such as sensor networks, deep learning techniques, and knowledge management, this publication explores developing methods of smart security as well as protocol support in IoT devices. This book is ideally designed for developers, researchers, IT practitioners, network professionals, educators, and students seeking current research on modern applications of virtual and augmented reality in professional environments.