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		<title>AI Agents That Hunt Factory Problems Before They Become Losses</title>
		<link>https://bioengineer.org/ai-agents-that-hunt-factory-problems-before-they-become-losses/</link>
		
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		<pubDate>Wed, 14 Oct 2026 03:58:44 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Borda count]]></category>
		<category><![CDATA[cognitive twin]]></category>
		<category><![CDATA[FMEA]]></category>
		<category><![CDATA[Human-AI Collaboration]]></category>
		<category><![CDATA[industrial problem discovery]]></category>
		<category><![CDATA[Industry 5.0]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[manufacturing]]></category>
		<category><![CDATA[multiagent systems]]></category>
		<category><![CDATA[prioritisation]]></category>
		<category><![CDATA[safety gate]]></category>
		<category><![CDATA[TOPSIS]]></category>
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					<description><![CDATA[Researchers propose a conceptual framework of six domain-specialised large language model agents that would interview factory workers, cross-reference problems across departments and financially prioritise them, while insisting the untested system remains a hypothesis with strict safety and human-verification safeguards.]]></description>
		
		
		
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