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KI 2024: Advances in Artificial Intelligence

KI 2024: Advances in Artificial Intelligence
Author: Andreas Hotho
Publisher: Springer
Total Pages: 0
Release: 2024-10-04
Genre: Computers
ISBN: 9783031708923

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This book constitutes the proceedings of the 47th German Conference on AI, KI 2024, which was held in Würzburg, Germany, during September 25–27, 2024. The 19 full papers, 7 short papers and 5 other papers presented in this book were carefully reviewed and selected from 63 submissions. KI is one of the major European AI conferences and traditionally brings together academic and industrial researchers from all areas of AI, providing an ideal place for exchanging news and research results on theory and applications. The papers have been categorized into the following sections: full technical papers; technical communications; extended abstracts of papers from other AI conferences.


KI 2020: Advances in Artificial Intelligence

KI 2020: Advances in Artificial Intelligence
Author: Ute Schmid
Publisher: Springer Nature
Total Pages: 367
Release: 2020-09-08
Genre: Computers
ISBN: 303058285X

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This book constitutes the refereed proceedings of the 43rd German Conference on Artificial Intelligence, KI 2020, held in Bamberg, Germany, in September 2020. The 16 full and 12 short papers presented together with 6 extended abstracts in this volume were carefully reviewed and selected from 62 submissions. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research. KI 2020 had a special focus on human-centered AI with highlights on AI and education and explainable machine learning. Due to the Corona pandemic KI 2020 was held as a virtual event.


Ki-94

Ki-94
Author: Bernhard Nebel
Publisher:
Total Pages: 420
Release: 2014-01-15
Genre:
ISBN: 9783662195031

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Modern Artificial Intelligence and Data Science 2024

Modern Artificial Intelligence and Data Science 2024
Author: Abdellah Idrissi
Publisher: Springer
Total Pages: 0
Release: 2024-10-04
Genre: Computers
ISBN: 9783031650376

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This book, through its various chapters presenting recent advances in Modern Artificial Intelligence and Data Science as well as their applications, aims to set up lasting and real applications necessary for both academics and professionals. By its proposals of new ideas, it serves as a real guide both to informed readers and to beginners in these specialized fields. It also covers applications that discuss how they can support societal challenges such as education, health, agriculture, clean energy, business, environment, and security. Readers will find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. This book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctorate Students, Researchers, and Universities.


Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Flavio M. de Oliveira
Publisher:
Total Pages: 324
Release: 2014-01-15
Genre:
ISBN: 9783662196281

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Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Howard J. Hamilton
Publisher:
Total Pages: 466
Release: 2014-01-15
Genre:
ISBN: 9783662185100

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Recent Trends and Advances in Artificial Intelligence and Internet of Things

Recent Trends and Advances in Artificial Intelligence and Internet of Things
Author: Valentina E. Balas
Publisher: Springer Nature
Total Pages: 618
Release: 2019-11-19
Genre: Technology & Engineering
ISBN: 3030326446

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This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.