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	<title>AI sustainability &#8211; BIOENGINEER.ORG</title>
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		<title>Hybrid MobileNet-YOLO Revolutionizes Object Detection on Devices</title>
		<link>https://bioengineer.org/hybrid-mobilenet-yolo-revolutionizes-object-detection-on-devices/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 27 Oct 2025 16:44:28 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[AI sustainability]]></category>
		<category><![CDATA[efficient machine learning]]></category>
		<category><![CDATA[Hybrid MobileNet-YOLO object detection]]></category>
		<category><![CDATA[real-time processing]]></category>
		<category><![CDATA[resource-constrained devices]]></category>
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					<description><![CDATA[In the rapidly evolving field of artificial intelligence, a groundbreaking study has emerged, focusing on enhancing object detection methods tailored for resource-constrained devices. This innovative research, titled “MOLO: a hybrid approach using MobileNet and YOLO for object detection on resource constrained devices,” signifies a notable leap forward in creating efficient and powerful machine learning algorithms [&#8230;]]]></description>
		
		
		
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