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从代码到数据:开发人员生产力的大规模人工智能

From Code to Data: AI at Scale for Developer Productivity
课程网址: http://videolectures.net/kdd2019_sundaresan_code_data/  
主讲教师: Neel Sundaresan
开课单位: 微软
开课时间: 2020-03-02
课程语种: 英语
中文简介:
过去十年,计算领域出现了三大现象——人工智能算法和人工智能硬件的重生;云计算和分布式软件开发的演变;以及开源软件的爆炸式增长,导致代码作为数据及其相关元数据大规模可用。在本次演讲中,我们将描述我们如何利用这些方面的创新来提高开发人员的生产力,并将人工智能和自动化融入软件过程。我们将讨论我们如何通过创建AI算法来构建智能软件的示例,这些算法是由对代码作为数据的深刻理解驱动的。此外,我们还将讨论如何将数据视为下一代人工智能软件开发的代码。
课程简介: The last decade has seen three great phenomena in computing – the rebirth of AI algorithms and AI hardware; the evolution of cloud computing and distributed software development; and the explosive growth of open source software that has led to the availability of code as data, and its associated metadata, at scale. In this talk, we will describe how we take advantage of innovations in these dimensions to improve developer productivity and infuse AI and automation into software processes. We will discuss examples of how we built intelligent software by creating AI algorithms driven by deep understanding of code as data. In addition, we will talk about how data can also be treated as code for the next-generation AI-infused software development.
关 键 词: 从代码到数据; 开发人员生产力; 大规模人工智能
课程来源: 视频讲座网
数据采集: 2022-09-16:cyh
最后编审: 2022-09-19:cyh
阅读次数: 28