Pervasive computing promotes the integration of smart electronic devices in our living and working spaces to provide advanced services. Recently, two major evolutions are changing the way pervasive applications are developed. The first deals with moving computation and storage to the edge. The second is the massive use of machine learning techniques to build these applications. However, architectural principles and integrated frameworks are still missing today to successfully and repetitively support application developers in the creation of edge-level AI applications. In this paper, we present a novel architecture and platform allowing the development of such applications in smart spaces.

翻译：普适计算推动了智能电子设备在我们生活和工作空间中的集成，以提供高级服务。最近，两大演进正在改变普适应用的开发方式。第一是将计算和存储迁移至边缘。第二是大量使用机器学习技术来构建这些应用。然而，目前仍缺乏架构原则和集成框架，以成功且可重复地支持应用开发者在边缘层面创建人工智能应用。在本文中，我们提出了一种新颖的架构和平台，允许在智能空间中开发此类应用。