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		<title>Geometric Deep Learning: taking the measurement-point work off engineers’ hands</title>
		<link>https://www.inpro.de/en/geometric-deep-learning/</link>
		
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		<pubDate>Wed, 26 Aug 2026 15:39:04 +0000</pubDate>
				<category><![CDATA[Blogbeitrag - öffentlich]]></category>
		<guid isPermaLink="false">https://www.inpro.de/?p=98140</guid>

					<description><![CDATA[<p>In this blog post, discover how Geometric Deep Learning turns untapped engineering knowledge locked in CAD archives into a systematically searchable, reusable asset. We're currently developing the approach across the entire process chain — from manufacturing planning to quality assurance.</p>
<p>Der Beitrag <a href="https://www.inpro.de/en/geometric-deep-learning/">Geometric Deep Learning: taking the measurement-point work off engineers’ hands</a> erschien zuerst auf <a href="https://www.inpro.de/en/">inpro</a>.</p>
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		<title>AI-enhanced weldability testing</title>
		<link>https://www.inpro.de/en/ai-enhanced-part-production-application/</link>
		
		<dc:creator><![CDATA[techstory]]></dc:creator>
		<pubDate>Wed, 09 Jul 2025 15:15:01 +0000</pubDate>
				<category><![CDATA[Blogbeitrag - öffentlich]]></category>
		<guid isPermaLink="false">https://www.inpro.de/?p=84086</guid>

					<description><![CDATA[<p>Testing the weldability of multi-sheet joints, e.g. 3-sheet joints, is an important technical prerequisite for the producibility of car bodies. Testing so far has been mainly done by experiment. Read in this article how a dedicated machine learning model is now used to forecast the weldability of multi-sheet joints and, therefore significantly reduces the experimental testing effort.</p>
<p>Der Beitrag <a href="https://www.inpro.de/en/ai-enhanced-part-production-application/">AI-enhanced weldability testing</a> erschien zuerst auf <a href="https://www.inpro.de/en/">inpro</a>.</p>
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		<title>Quick Win: AI-Chatbots in Production</title>
		<link>https://www.inpro.de/en/quick-win-ai-chatbots-in-production/</link>
		
		<dc:creator><![CDATA[inpro]]></dc:creator>
		<pubDate>Mon, 14 Apr 2025 09:31:13 +0000</pubDate>
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					<description><![CDATA[<p>As an innovation incubator, we pick up on disruptive technologies at an early stage and match them with value-adding use cases. We have used the potential of large language models and complementary methods to develop an AI chatbot to support store floor employees in the efficient handling of technical documentation and operating manuals.</p>
<p>Der Beitrag <a href="https://www.inpro.de/en/quick-win-ai-chatbots-in-production/">Quick Win: AI-Chatbots in Production</a> erschien zuerst auf <a href="https://www.inpro.de/en/">inpro</a>.</p>
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