Towards Sustainable Artificial Intelligence: A Framework to Create Value and Understand Risk
English | 2021 | ISBN: 1484272137 | 153 Pages | PDF EPUB | 3.43 MB
So far, little effort has been devoted to developing practical approaches on how to develop and deploy AI systems that meet certain standards and principles. This is despite the importance of principles such as privacy, fairness, and social equality taking centre stage in discussions around AI. However, for an organization, failing to meet those standards can give rise to significant lost opportunities. It may further lead to an organization's demise, as the example of Cambridge Analytica demonstrates. It is, however, possible to pursue a practical approach for the design, development, and deployment of sustainable AI systems that incorporates both business and human values and principles.

English | 2021 | ISBN: 1484272137 | 145 pages | pdf, epub | 4.23 MB
So far, little effort has been devoted to developing practical approaches on how to develop and deploy AI systems that meet certain standards and principles.This is despite the importance of principles such as privacy, fairness, and social equality taking centre stage in discussions around AI. However, for an organization, failing to meet those standards can give rise to significant lost opportunities. It may further lead to an organization's demise, as the example of Cambridge Analytica demonstrates. It is, however, possible to pursue a practical approach for the design, development, and deployment of sustainable AI systems that incorporates both business and human values and principles.
This book discusses the concept of sustainability in the context of artificial intelligence. In order to help businesses achieve this objective, the author introduces the sustainable artificial intelligence framework (SAIF), designed as a reference guide in the development and deployment of AI systems. The SAIF developed in the book is designed to help decision makers such as policy makers, boards, C-suites, managers, and data scientists create AI systems that meet ethical principles.By focusing on four pillars related to the socio-economic and political impact of AI, the SAIF creates an environment through which an organization learns to understand its risk and exposure to any undesired consequences of AI, and the impact of AI on its ability to create value in the short, medium, and long term.

Understanding COVID-19: The Role of Computational Intelligence
English | 2022 | ISBN: 3030747603 | 569 Pages | PDF | 15 MB
This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.

Proceedings of International Conference on Computational Intelligence and Computing
English | 2022 | ISBN: 9811633673 | 321 Pages | PDF | 12 MB
This book includes the original, peer-reviewed research articles from the International Conference on Computational Intelligence and Computing (ICCIC 2020), held in September 2020 on a virtual platform jointly organized by SR Group of Institutions, Jhansi, India, IETE, Kolkata Centre, India, and Eureka Scientech Research Foundation, Kolkata India. It covers the latest research in image processing, computer vision and pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT applications, artificial intelligence, expert systems, natural language processing, image processing, computer vision, artificial neural networks, fuzzy logic, evolutionary optimization, rough sets, web intelligence, intelligent agent technology, virtual reality, and visualization.

English | 2021 | ISBN: 0198862539 | 533 pages | True PDF | 9.52 MB
In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of
Artificial Intelligence (3AI, 2020s-2030s), and is being actively investigated in the US, Europe and China.

Applications of Artificial Intelligence and Machine Learning
English | 2021 | ISBN: 9811630666 | 725 Pages | PDF | 18 MB
The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.

Andrew Schumann, "Swarm Intelligence: From Social Bacteria to Humans"
English | 2020 | ISBN: 0367137933, 0367535955 | 190 pages | PDF | 19.9 MB
The notion of swarm intelligence was introduced for describing decentralized and self-organized behaviors of groups of animals. Then this idea was extrapolated to design groups of robots which interact locally to cumulate a collective reaction. Some natural examples of swarms are as follows: ant colonies, bee colonies, fish schooling, bird flocking, horse herding, bacterial colonies, multinucleated giant amoebae Physarum polycephalum, etc. In all these examples, individual agents behave locally with an emergence of their common effect.

Oracle Business Intelligence 11g R1 Cookbook
pdf | 14.63 MB | English | Isbn:‎ 978-1849686006 | Author: Cuneyt Yilmaz | Year: 2013

Cultural Intelligence in the World of Work - Past, Present, Future []
epub | 1.33 MB | English | Isbn:‎ B084BS91T1 | Author: Yuan Liao, David C. Thomas | Year: 2020

English | ASIN: B091V5X2CR | 2021 |MP3|M4B | ~05:00:00 | 143 MB
Yorick Wilks, Hannibal Hills (Narrator), "Artificial Intelligence: Modern Magic or Dangerous Future?"
Artificial intelligence has long been a mainstay of science fiction, and, increasingly, it feels as if AI is entering our everyday lives, with technology like Apple's Siri now prominent and self-driving cars almost upon us. But what do we actually mean when we talk about AI? Are the sentient machines of 2001 or The Matrix a real possibility, or will real-world artificial intelligence look and feel very different? What has it done for us so far? And what technologies could it yield in the future?