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Applying machine intelligence in practice
Informatik Spektrum Pub Date : 2020-03-06 , DOI: 10.1007/s00287-020-01259-2
Bernhard Humm , Hermann Bense , Jürgen Bock , Mario Classen , Oren Halvani , Christian Herta , Thomas Hoppe , Oliver Juwig , Melanie Siegel

The relevance of Machine Intelligence, a.k.a. Artificial Intelligence (AI), is undisputed at the present time. This is not only due to AI successes in research but, more prominently, its use in day-to-day practice. In 2014, we started a series of annual workshops at the Leibniz Zentrum für Informatik, Schloss Dagstuhl, Germany, initially focussing on Corporate Semantic Web and later widening the scope to Applied Machine Intelligence. This article presents a number of AI applications from various application domains, including medicine, industrial manufacturing and the insurance sector. Best practices, current trends, possibilities and limitations of new AI approaches for developing AI applications are also presented. Focus is put on the areas of natural language processing, ontologies and machine learning. The article concludes with a summary and outlook.

中文翻译:

在实践中应用机器智能

目前,机器智能(也称为人工智能(AI))的相关性是无可争议的。这不仅是因为人工智能在研究中取得了成功,更重要的是,它已在日常实践中得到了应用。2014年,我们在德国Schloss Dagstuhl的Leibniz ZentrumfürInformatik举办了一系列年度研讨会,最初侧重于企业语义网,后来扩大了应用机器智能的范围。本文介绍了来自不同应用领域的许多AI应用,包括医学,工业制造和保险业。还介绍了开发AI应用程序的最佳实践,当前趋势,新AI方法的可能性和局限性。重点放在自然语言处理,本体和机器学习领域。
更新日期:2020-03-06
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