knowlEdge Project –Concept, Methodology and Innovations for Artificial Intelligence in Industry 4.0

S. Álvarez-Napagao, B. Ashmore, Marta Barroso, C. Barrué, C. Beecks, Fabian Berns, Ilaria Bosi, S. Chala, N. Ciulli, M. Garcia-Gasulla, Alexander Grass, D. Ioannidis, Natalia Jakubiak, K. Köpke, Ville Lämsä, Pedro Megias, Alexandros Nizamis, C. Pastrone, R. Rossini, M. Sànchez-Marrè, Luca Ziliotti
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引用次数: 4

Abstract

AI is one of the biggest megatrends towards the 4th industrial revolution. Although these technologies promise business sustainability as well as product and process quality, it seems that the ever-changing market demands, the complexity of technologies and fair concerns about privacy, impede broad application and reuse of Artificial Intelligence (AI) models across the industry. To break the entry barriers for these technologies and unleash its full potential, the knowlEdge project will develop a new generation of AI methods, systems, and data management infrastructure. Subsequently, as part of the knowlEdge project we propose several major innovations in the areas of data management, data analytics and knowledge management including (i) a set of AI services that allows the usage of edge deployments as computational and live data infrastructure as well as a continuous learning execution pipeline on the edge, (ii) a digital twin of the shop-floor able to test AI models, (iii) a data management framework deployed along the edge-to-cloud continuum ensuring data quality, privacy and confidentiality, (iv) Human-AI Collaboration and Domain Knowledge Fusion tools for domain experts to inject their experience into the system, (v) a set of standardisation mechanisms for the exchange of trained AI models from one context to another, and (vi) a knowledge marketplace platform to distribute and interchange trained AI models. In this paper, we present a short overview of the EU Project knowlEdge –Towards Artificial Intelligence powered manufacturing services, processes, and products in an edge-to-cloud-knowledge continuum for humans [in-the-loop], which is funded by the Horizon 2020 (H2020) Framework Programme of the European Commission under Grant Agreement 957331. Our overview includes a description of the project’s main concept and methodology as well as the envisioned innovations.
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知识项目——工业4.0中人工智能的概念、方法和创新
人工智能是第四次工业革命的最大趋势之一。尽管这些技术保证了业务的可持续性以及产品和工艺质量,但似乎不断变化的市场需求、技术的复杂性和对隐私的公平担忧阻碍了人工智能(AI)模型在整个行业的广泛应用和重用。为了打破这些技术的进入壁垒并释放其全部潜力,knowlEdge项目将开发新一代人工智能方法、系统和数据管理基础设施。随后,作为knowlEdge项目的一部分,我们提出了数据管理、数据分析和知识管理领域的几项重大创新,包括(i)一套人工智能服务,允许使用边缘部署作为计算和实时数据基础设施,以及边缘上的持续学习执行管道;(ii)能够测试人工智能模型的车间数字孪生;(iii)沿边缘到云连续体部署的数据管理框架,确保数据质量、隐私和机密性;(iv)人类-人工智能协作和领域知识融合工具,供领域专家将他们的经验注入系统;(v)一套标准化机制,用于将训练有素的人工智能模型从一种环境交换到另一种环境;(vi)一个知识市场平台,用于分发和交换训练有素的人工智能模型。在本文中,我们简要概述了欧盟项目知识-面向人工智能驱动的制造服务,流程和产品,在边缘到云知识连续体中为人类[在循环中],该项目由欧盟委员会地平线2020 (H2020)框架计划根据拨款协议957331资助。我们的概述包括项目的主要概念和方法的描述,以及设想的创新。
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