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		<title>AI Learns to Hunt the Cloud&#8217;s Most Dangerous Failures Before They Strike</title>
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		<pubDate>Thu, 08 Oct 2026 02:53:36 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Alibaba Cluster Trace]]></category>
		<category><![CDATA[Anomaly Detection]]></category>
		<category><![CDATA[autoencoder]]></category>
		<category><![CDATA[cloud computing]]></category>
		<category><![CDATA[Google Borg Trace]]></category>
		<category><![CDATA[gray failure]]></category>
		<category><![CDATA[hierarchical reinforcement learning]]></category>
		<category><![CDATA[migration scheduling]]></category>
		<category><![CDATA[robust PCA]]></category>
		<category><![CDATA[self-healing systems]]></category>
		<category><![CDATA[SLO violations]]></category>
		<category><![CDATA[Temporal Convolutional Network]]></category>
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					<description><![CDATA[A new closed-loop reinforcement learning framework called A3SM detects, localizes, and mitigates gray failures in cloud clusters, cutting recovery times and service violations in trace-driven experiments.]]></description>
		
		
		
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