Robotics & Machine Learning Daily News2024,Issue(Nov.25) :29-30.

Study Findings on Artificial Intelligence Discussed by Researchers at University of Mannheim (Managing human-AI collaborations withinIndustry 5.0 scenarios via knowledge graphs: key challenges and lessons learned)

曼海姆大学研究人员讨论的人工智能研究结果(管理内部人类-人工智能合作)通过知识图实现行业5.0情景:主要挑战和经验教训

Robotics & Machine Learning Daily News2024,Issue(Nov.25) :29-30.

Study Findings on Artificial Intelligence Discussed by Researchers at University of Mannheim (Managing human-AI collaborations withinIndustry 5.0 scenarios via knowledge graphs: key challenges and lessons learned)

曼海姆大学研究人员讨论的人工智能研究结果(管理内部人类-人工智能合作)通过知识图实现行业5.0情景:主要挑战和经验教训

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的研究结果在一份新的报告中讨论。根据NewsRx记者从德国Mannhei M发回的新闻研究称:“在本文中,”讨论了基于知识图(KGs)的管理技术和方法潜在环境下工业5.0中人工智能辅助制造过程中的在线人类干预改变条件以保持或提高整体系统性能。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews originating from Mannhei m, Germany, by NewsRx correspondents, research stated, “In this paper,we discus s technologies and approaches based on Knowledge Graphs (KGs) that enable the ma nagementof inline human interventions in AI-assisted manufacturing processes in Industry 5.0 under potentiallychanging conditions in order to maintain or impr ove the overall system performance.”

Key words

University of Mannheim/Mannheim/German y/Europe/Artificial Intelligence/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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