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Immersive Technology and Experiences: Implications for Business and Society

Posted By: AvaxGenius

Date: 1 Jan 2024 10:35:58

This book provides a comprehensive overview of the role of immersive technology with multiple sectoral perspectives, such as entertainment, education, health care, and more. It covers a detailed analysis of the latest trends and developments in the field. It encompasses practical insights on using immersive technology effectively through industry expert chapters, case studies, and real-world examples that demonstrate how immersive technology is being used in different industries. Chapters in this book are from academicians and industry professionals to create a fine balance of knowledge and practice perspective of today’s immersive technology. It is written in accessible language that is easy for non-experts to understand. It focuses on the future of immersive technology, exploring its potential impact on society and the economy. It provides insights into the challenges and opportunities that lie ahead and offers predictions on how immersive technology will continue to evolve in the years to come. It is a valuable resource for anyone learning more about immersive technology.

Business Bias Algorithmic Bias Ethical Artificial Intelligence AI Artificial Intelligence

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Ethics in Artificial Intelligence: Bias, Fairness and Beyond

Posted By: AvaxGenius

Date: 31 Dec 2023 04:28:29

This book is a collection of chapters in the newly developing area of ethics in artificial intelligence. The book comprises chapters written by leading experts in this area which makes it a one of its kind collections. Some key features of the book are its unique combination of chapters on both theoretical and practical aspects of integrating ethics into artificial intelligence. The book touches upon all the important concepts in this area including bias, discrimination, fairness, and interpretability. Integral components can be broadly divided into two segments – the first segment includes empirical identification of biases, discrimination, and the ethical concerns thereof in impact assessment, advertising and personalization, computational social science, and information retrieval. The second segment includes operationalizing the notions of fairness, identifying the importance of fairness in allocation, clustering and time series problems, and applications of fairness in software testing/debugging and in multi stakeholder platforms. This segment ends with a chapter on interpretability of machine learning models which is another very important and emerging topic in this area.

Development Fairness Bias Discrimination Interpretability Ethics Artificial Intelligence Philosophy of Artificial Intelligence Computer Science Engineering Computing Computational Intelligence Machine Learning

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Race, Intelligence, and Bias in Academe

Posted By: l3ivo

Date: 12 Jun 2023 20:04:48

Roger Pearson, "Race, Intelligence, and Bias in Academe"
English | 1991 | ISBN: 1878465236 | 304 pages | PDF | 5.9 MB

Science Academic Reference Intelligence Bias

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Estimation, Control, and the Discrete Kalman Filter

Posted By: AvaxGenius

Date: 20 Nov 2022 04:30:47

Estimation, Control, and the Discrete Kalman Filter by Donald E. Catlin
English | PDF | 1989 | 286 Pages | ISBN : 038796777X | 17 MB

In 1960, R. E. Kalman published his celebrated paper on recursive min imum variance estimation in dynamical systems [14]. This paper, which introduced an algorithm that has since been known as the discrete Kalman filter, produced a virtual revolution in the field of systems engineering. Today, Kalman filters are used in such diverse areas as navigation, guid ance, oil drilling, water and air quality, and geodetic surveys.

Science Bias Estimation Control Discrete Kalman Filter Robotics Automation Statistics Systems Theory Calculus Optimization

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Advances in Bias and Fairness in Information Retrieval

Posted By: AvaxGenius

Date: 26 Jul 2022 16:43:35

This book constitutes refereed proceedings of the Third International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2022, held in April, 2022.
The 9 full papers and 4 short papers were carefully reviewed and selected from 34 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact of gender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web.

Bias Fairness Information Retrieval artificial intelligence collaborative filtering computer networks electronic commerce recommendation systems personalizations recommender systems information retrieval machine learning user interfaces recommendation algorithms e-Commerce e-Business Computer Engineering Business Networks Development

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Advances in Bias and Fairness in Information Retrieval

Posted By: AvaxGenius

Date: 5 Jul 2022 12:38:05

Advances in Bias and Fairness in Information Retrieval: Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers by Ludovico Boratto
English | PDF | 2022 | 166 Pages | ISBN : 3031093151 | 10.2 MB

This book constitutes refereed proceedings of the Third International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2022, held in April, 2022.