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		<title>AI Meets Nature: Massive Study Maps Biomimetic Research and Exposes a Surprising Energy Gap</title>
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				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[bibliometrics]]></category>
		<category><![CDATA[bio-inspired robotics]]></category>
		<category><![CDATA[biomimetics]]></category>
		<category><![CDATA[keyword co-occurrence]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[neuromorphic computing]]></category>
		<category><![CDATA[phase change materials]]></category>
		<category><![CDATA[Renewable Energy]]></category>
		<category><![CDATA[research trends]]></category>
		<category><![CDATA[Swarm Intelligence]]></category>
		<category><![CDATA[thermal energy storage]]></category>
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					<description><![CDATA[A bibliometric analysis of nearly 10,000 publications shows that AI-driven biomimetics is thriving in robotics and computing while energy applications remain strikingly underexplored.]]></description>
		
		
		
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