自*设备的原位人工智能:弹性AI生态系统(教程)

Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele
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引用次数: 0

摘要

人工智能(AI)是当今自*系统的一个重要课题。例如,它可以用于分析传感器数据,导出系统运行情况的模型,并做出动态适应决策。为此,原位人工智能是一个强大的工具,它使单个设备能够自主使用人工智能,从而实现真正去中心化的自我行为。然而,开发、部署和执行原位人工智能并非易事。因此,研究人员经常求助于经典的基于云的人工智能解决方案,这限制了研究的可能性。在本教程中,我们将介绍我们的解决方案,即所谓的弹性AI生态系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial)
Artificial Intelligence (AI) is an important topic for today's self-* systems. It can e.g. be used to analyze sensor data, to derive a model of a system's runtime situation, and to make dynamic adaptation decisions. To this end, in-situ AI is a powerful tool that enables individual devices to use AI autonomously, leading to truly decentralized self-* behavior. However, developing, deploying and executing in-situ AI is not trivial. Researchers therefore often fall back to classical Cloud-based AI solutions, which restricts what kinds of research studies are possible. In this tutorial we present our solution for this, the so-called elastic AI ecosystem.
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