KI 2023: Advances in Artificial Intelligence

KI 2023: Advances in Artificial Intelligence PDF

Author: Dietmar Seipel

Publisher: Springer Nature

Published: 2023-09-17

Total Pages: 288

ISBN-13: 3031426088

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This book constitutes the refereed proceedings of the 46th German Conference on Artificial Intelligence, KI 2023, which took place in Berlin, Germany, in September 2023.The 14 full and 5 short papers presented were carefully reviewed and selected from 78 submissions. The papers deal with research on theory and applications across all methods and topic areas of AI research.

Advances in Artificial Intelligence, Big Data and Algorithms

Advances in Artificial Intelligence, Big Data and Algorithms PDF

Author: G. Grigoras

Publisher: IOS Press

Published: 2023-12-19

Total Pages: 1224

ISBN-13: 1643684450

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Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Recent Trends and Advances in Artificial Intelligence and Internet of Things PDF

Author: Valentina E. Balas

Publisher: Springer Nature

Published: 2019-11-19

Total Pages: 618

ISBN-13: 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.

Ki-94

Ki-94 PDF

Author: Bernhard Nebel

Publisher:

Published: 2014-01-15

Total Pages: 420

ISBN-13: 9783662195031

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KI-97: Advances in Artificial Intelligence

KI-97: Advances in Artificial Intelligence PDF

Author: Gerhard Brewka

Publisher: Springer

Published: 1997-08-27

Total Pages: 418

ISBN-13: 9783540634935

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This book constitutes the refereed proceedings of the 21st Annual German Conference on Artificial Intelligence, KI-97, held in Freiburg, Germany, in September 1997. The volume presents revised versions of 26 full papers and 10 posters selected from around 70 submissions from more than 15 countries. Also included are three excellent invited contributions by Anthony G. Cohn, Kurt Konolige, and Pat Langley. The papers are organized in topical sections on theorem proving, nonclassical logics, knowledge representation, spatial reasoning, computational linguistics, computer perception and neural nets, and on planning, diagnosis and search.

Algorithms in Advanced Artificial Intelligence

Algorithms in Advanced Artificial Intelligence PDF

Author: R. N. V. Jagan Mohan

Publisher: CRC Press

Published: 2024-07-08

Total Pages: 547

ISBN-13: 104014537X

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The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.

KI-99: Advances in Artificial Intelligence

KI-99: Advances in Artificial Intelligence PDF

Author: Wolfram Burgard

Publisher: Springer Science & Business Media

Published: 1999-09-01

Total Pages: 321

ISBN-13: 3540664955

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For many years, Arti?cial Intelligence technology has served in a great variety of successful applications. AI researchand researchershave contributed much to the vision of the so-called Information Society. As early as the 1980s, some of us imagined distributed knowledge bases containing the explicable knowledge of a company or any other organization. Today, such systems are becoming reality. In the process, other technologies have had to be developed and AI-technology has blended with them, and companies are now sensitive to this topic. TheInternetandWWWhaveprovidedtheglobalinfrastructure,whileatthe same time companies have become global in nearly every aspect of enterprise. This process has just started, a little experience has been gained, and therefore it is tempting to re?ect and try to forecast, what the next steps may be. This has given us one of the two main topics of the 23rd Annual German Conference on Arti?cial Intelligence (KI-99)held at the University of Bonn: The Knowledge Society. Two of our invited speakers, Helmut Willke, Bielefeld, and Hans-Peter Kriegel, Munich, dwell on di?erent aspects with di?erent perspectives. Helmut Willke deals with the concept of virtual organizations, while Hans-Peter Kriegel applies data mining concepts to pattern recognitiontasks.The three application forums are also part of the Knowledge Society topic: “IT-based innovation for environment and development”, “Knowledge management in enterprises”, and “Knowledgemanagementinvillageandcityplanningoftheinformationsociety”.

Artificial Intelligence in Education Technologies: New Development and Innovative Practices

Artificial Intelligence in Education Technologies: New Development and Innovative Practices PDF

Author: Tim Schlippe

Publisher: Springer Nature

Published: 2023-11-08

Total Pages: 345

ISBN-13: 9819979471

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This book is a collection of selected research papers presented at the 2023 4th International Conference on Artificial Intelligence in Education Technology (AIET 2023), held in Berlin, Germany, on June 30 - July 2, 2023. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. It is a timely and up-to-date publication responsive to the rapid development of AI technologies, practices and their increasingly complex interplay with the education domain. It promotes the cross-fertilisation of knowledge and ideas from researchers in various fields to construct the interdisciplinary research area of AI in Education. These subject areas include computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology and linguistics. The feature of this book will contribute from diverse perspectives to form a dynamic picture of AI in Education. It also includes various domain-specific areas for which AI and other education technology systems have been designed or used in an attempt to address challenges and transform educational practice. This timely publication is in line with UNESCO’s Beijing Consensus on Artificial Intelligence and Education. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education, and triggering an exponential leap towards the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.

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