从代码到数据:面向开发者生产力的大规模AIFrom Code to Data: AI at Scale for Developer Productivity |
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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: | 过去十年见证了计算领域的三大现象: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发展;开源软件的爆炸式增长导致了代码作为数据以及与之相关的元数据的大规模可用性。在这次演讲中,我们将描述如何利用这些方面的创新来提高开发人员的生产力,并将AI和自动化注入到软件过程中。我们将讨论如何通过创建AI算法构建智能软件的例子,这些算法是由对代码作为数据的深入理解驱动的。此外,我们还将讨论如何将数据作为下一代注入人工智能的软件开发的代码。 |
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: | 人工智能; 开源软件; AI算法 |
课程来源: | 视频讲座网 |
数据采集: | 2022-11-04:chenjy |
最后编审: | 2023-05-13:chenjy |
阅读次数: | 32 |