论文标题
从数字数据革命到数字健康和数字经济再到数字社会：人工智能的普遍性
From the digital data revolution to digital health and digital economy toward a digital society: Pervasiveness of Artificial Intelligence
论文作者
论文摘要
技术进步导致了强大的计算机和通信技术，如今渗透到科学，工业和我们的私人生活的所有领域。结果，所有这些领域都在生成数字数据痕迹，等于大数据资源。这为这些数据的分析，管理，解释和利用开辟了前所未有的机会，但也为这些数据提供了挑战。幸运的是，深度学习算法的最新突破是现在的机器学习和统计方法，以有效地分析此类数据。此外，随着政府报告，社交媒体的博客条目或患者的临床健康记录，文本挖掘和自然语言处理的进步，例如单词插入方法，还可以处理大量文本数据。在本文中，我们介绍了人工智能在这些发展中的作用的看法，并讨论了我们在数字社会中面临的潜在问题。
Technological progress has led to powerful computers and communication technologies that penetrate nowadays all areas of science, industry and our private lives. As a consequence, all these areas are generating digital traces of data amounting to big data resources. This opens unprecedented opportunities but also challenges toward the analysis, management, interpretation and utilization of these data. Fortunately, recent breakthroughs in deep learning algorithms complement now machine learning and statistics methods for an efficient analysis of such data. Furthermore, advances in text mining and natural language processing, e.g., word-embedding methods, enable also the processing of large amounts of text data from diverse sources as governmental reports, blog entries in social media or clinical health records of patients. In this paper, we present a perspective on the role of artificial intelligence in these developments and discuss also potential problems we are facing in a digital society.
