Search

Showing total 2,052 results
Start Over Topic artificial intelligence Publication Year Range Last 10 years Publisher springer berlin heidelberg
2,052 results

5. Artificial life and intelligent agents: second international symposium, ALIA 2016, Birmingham, UK, June 14-15, 2016, revised selected papers.

Author

Lewis, Peter R, Headleand, Christopher J., Battle, Steve, and Ritsos, Panagiotis D.

Subjects
Robotics, Artificial intelligence, Computer simulation, Computational intelligence, Genetic algorithms
Abstract

Summary: This book constitutes the refereed proceedings of the Second International Symposium on Artificial Life and Intelligent Agents, ALIA 2016, held in Birmingham, UK, in June 2016. The 8 revised full papers and three revised short papers presented together with two demo papers were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections on modelling; robotics; bio-inspired problem solving; human-like systems; applications and games.

Published
2018

6. Artificial intelligence for knowledge management : second IFIP WG 12.6 International Workshop, AI4KM 2014, Warsaw, Poland, September 7-10, 2014, revised selected papers.

Author

Mercier-Laurent, Eunika, Owoc, Mieczysław Lech, and Boulanger, Danielle

Subjects
Artificial intelligence, Knowledge management, Data mining, Database management
Abstract

Summary: This book features a selection of papers presented at the Second IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2014, held in Wroclaw, Poland, in September 2014, in the framework of the Federated Conferences on Computer Science and Information Systems, FedCSIS 2014. The 9 revised and extended papers and one invited paper were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and are organized in the following topical sections: tools and methods for knowledge acquisition; models and functioning of knowledge management; techniques of artificial intelligence supporting knowlege management; and components of knowledge flow.

Published
2016

15. The role of an open artificial intelligence platform in modern neurosurgical education: a preliminary study.

Author

Sevgi UT, Erol G, Doğruel Y, Sönmez OF, Tubbs RS, and Güngor A

Subjects
Humans, Reproducibility of Results, Language, Neurosurgical Procedures, Artificial Intelligence, Neurosurgery
Abstract

The use of artificial intelligence in neurosurgical education has been growing in recent times. ChatGPT, a free and easily accessible language model, has been gaining popularity as an alternative education method. It is necessary to explore the potential of this program in neurosurgery education and to evaluate its reliability. This study aimed to show the reliability of ChatGPT by asking various questions to the chat engine, how it can contribute to neurosurgery education by preparing case reports or questions, and its contributions when writing academic articles. The results of the study showed that while ChatGPT provided intriguing and interesting responses, it should not be considered a dependable source of information. The absence of citations for scientific queries raises doubts about the credibility of the answers provided. Therefore, it is not advisable to solely rely on ChatGPT as an educational resource. With further updates and more specific prompts, it may be possible to improve its accuracy. In conclusion, while ChatGPT has potential as an educational tool, its reliability needs to be further evaluated and improved before it can be widely adopted in neurosurgical education., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Published
2023
Full Text
View/download PDF

30. Paper Currency Denomination Recognition Based on GA and SVM

Author

Ou Jin, Hua-Min Zhang, Jianbiao He, Jun Liang, and Li Xi

Subjects
Banknote, business.industry, Computer science, Process (computing), Pattern recognition, Function (mathematics), Support vector machine, symbols.namesake, ComputingMethodologies_PATTERNRECOGNITION, Computer Science::Computer Vision and Pattern Recognition, Pattern recognition (psychology), Genetic algorithm, Gaussian function, symbols, Artificial intelligence, business, Statistic
Abstract

SVM is a new general learning method based on the statistic learning system which can be used as an effective means to process small sample, nonlinear and high dimensional pattern recognition. This paper did research on the learning algorithm of support vector machine, extracted characteristic data of banknote which is on account of PCA according to the characteristics of the support vector machine (SVM), and proposed to put support vector machine (SVM) into banknotes denomination recognition by combining SMO training algorithm with one-to-many multi-value classification algorithm. Besides, this article used genetic algorithm in parameters optimization such as the punishment coefficient C of soft margin SVM and the width parameter of Gaussian kernel function. The ultimate purpose is to recognize the denomination of banknote efficiently and accurately. The experimental results verified that this kind of recognition method increases the recognition accuracy up to 90% or more.

Published
2015