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	<title>UAV networks &#8211; BIOENGINEER.ORG</title>
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		<title>Flying Data Centers: Smart Virtual Machine Slicing and AI Steer Drones to Slash Edge Computing Delays</title>
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		<pubDate>Sat, 10 Oct 2026 07:26:30 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[computation offloading]]></category>
		<category><![CDATA[Deep Reinforcement Learning]]></category>
		<category><![CDATA[I/O interference]]></category>
		<category><![CDATA[matching theory]]></category>
		<category><![CDATA[mixed-integer nonlinear programming]]></category>
		<category><![CDATA[mobile edge computing]]></category>
		<category><![CDATA[Soft Actor-Critic]]></category>
		<category><![CDATA[task delay]]></category>
		<category><![CDATA[trajectory optimization]]></category>
		<category><![CDATA[UAV networks]]></category>
		<category><![CDATA[unmanned aerial vehicles]]></category>
		<category><![CDATA[virtual machines]]></category>
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					<description><![CDATA[Researchers in China have developed VDDM, a framework combining dynamic virtual machine partitioning, matching theory, and deep reinforcement learning to minimize task delays in multi-UAV assisted mobile edge computing networks.]]></description>
		
		
		
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