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Machine Intelligence And Related Topics


Machine Intelligence And Related Topics
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Machine Intelligence And Related Topics


Machine Intelligence And Related Topics
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Author : Donald Michie
language : en
Publisher: Routledge
Release Date : 1982

Machine Intelligence And Related Topics written by Donald Michie and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Computers categories.


Includes chapters on the intelligent machine; teaching a computer to see; artificial intelligence in the micro age; social aspects of artificial intelligence, etc.



Machine Learning For Econometrics And Related Topics


Machine Learning For Econometrics And Related Topics
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Author : Vladik Kreinovich
language : en
Publisher: Springer Nature
Release Date : 2024-06-01

Machine Learning For Econometrics And Related Topics written by Vladik Kreinovich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-01 with Technology & Engineering categories.


In the last decades, machine learning techniques – especially techniques of deep learning – led to numerous successes in many application areas, including economics. The use of machine learning in economics is the main focus of this book; however, the book also describes the use of more traditional econometric techniques. Applications include practically all major sectors of economics: agriculture, health (including the impact of Covid-19), manufacturing, trade, transportation, etc. Several papers analyze the effect of age, education, and gender on economy – and, more generally, issues of fairness and discrimination. We hope that this volume will: help practitioners to become better knowledgeable of the state-of-the-art econometric techniques, especially techniques of machine learning, and help researchers to further develop these important research directions. We want to thank all the authors for their contributions and all anonymous referees for their thorough analysis and helpful comments.



Artificial Intelligence For Cyber Security Methods Issues And Possible Horizons Or Opportunities


Artificial Intelligence For Cyber Security Methods Issues And Possible Horizons Or Opportunities
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Author : Sanjay Misra
language : en
Publisher: Springer Nature
Release Date : 2021-05-31

Artificial Intelligence For Cyber Security Methods Issues And Possible Horizons Or Opportunities written by Sanjay Misra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-31 with Technology & Engineering categories.


This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.



Artificial Intelligence In Society


Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.


The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.



Current Topics In Artificial Intelligence


Current Topics In Artificial Intelligence
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Author : Asociación Española de Inteligencia Artificial
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-06-17

Current Topics In Artificial Intelligence written by Asociación Española de Inteligencia Artificial and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-17 with Business & Economics categories.


This book constitutes the thoroughly refereed joint post-proceedings of the 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003, and the 5th Conference on Technology Transfer, TTIA 2003, held in San Sebastián, Spain, in November 2003. The 66 revised full papers presented together with one invited paper were carefully selected during two rounds of reviewing and improvement from an initial total of 214 submissions. The papers span the entire spectrum of artificial intelligence and advanced applications in various fields.



Digital Interaction And Machine Intelligence


Digital Interaction And Machine Intelligence
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Author : Cezary Biele
language : en
Publisher: Springer Nature
Release Date : 2021-06-25

Digital Interaction And Machine Intelligence written by Cezary Biele and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Technology & Engineering categories.


This book presents the Proceedings of MIDI’2020 – 8th Machine Intelligence and Digital Interaction Conference, December 9–10, 2020, Warsaw, Poland, held online. The rapid development of artificial intelligence (AI) and its growing applications in many fields, such as intelligent voice assistants, e-commerce (chatbots) or navigation, make end users increasingly exposed to such systems. In a world where technological solutions based on artificial intelligence are created by people for people, the final success or failure of a newly created product depends on the focus on human needs. Therefore, it is important to integrate so far independent scientific areas: broadly defined artificial intelligence and human–technology interaction. This book is intended for specialists in the above fields and attempts to integrate the perspectives of engineers and social scientists. The book is a source of inspiration as well as practical and theoretical knowledge for all readers interested in new trends in the field of user-centered AI solutions.



Machine Intelligence And Signal Analysis


Machine Intelligence And Signal Analysis
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Author : M. Tanveer
language : en
Publisher: Springer
Release Date : 2018-08-08

Machine Intelligence And Signal Analysis written by M. Tanveer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-08 with Computers categories.


The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.



Machine Learning


Machine Learning
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Author :
language : en
Publisher:
Release Date : 2017

Machine Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Machine learning categories.




Artificial Intelligence In Practice


Artificial Intelligence In Practice
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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-15

Artificial Intelligence In Practice written by Bernard Marr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-15 with Comics & Graphic Novels categories.


Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.



Proceedings Of The Third Icmds 24 Machine Learning Inverse Problems And Related Fields


Proceedings Of The Third Icmds 24 Machine Learning Inverse Problems And Related Fields
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Author : Amine Laghrib
language : en
Publisher: Springer Nature
Release Date : 2025-06-11

Proceedings Of The Third Icmds 24 Machine Learning Inverse Problems And Related Fields written by Amine Laghrib and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-11 with Computers categories.


This book offers innovative insights into the integration of machine learning and inverse problems, showcasing cutting-edge methodologies that enhance computational efficiency and accuracy. By leveraging artificial intelligence, optimization techniques, and high-performance computing, it addresses complex challenges across various scientific and industrial domains. The contributions featured in this book encompass theoretical advancements and practical applications, highlighting diverse topics such as data-driven approaches, uncertainty quantification, and algorithmic innovations. This interdisciplinary collection is designed for researchers, practitioners, and students interested in the transformative potential of informatics and computational sciences. By presenting meticulously reviewed papers from the Third International Conference on Mathematical and Computational Sciences (ICMDS 2024), this issue serves as a valuable resource for fostering further research and development, inspiring new approaches to solving pressing problems through advanced computational methods.