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	<title>cryptocurrency &#8211; BIOENGINEER.ORG</title>
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		<title>Self-Taught AI Reads Blockchain Money Trails to Catch Crypto Laundering</title>
		<link>https://bioengineer.org/self-taught-ai-reads-blockchain-money-trails-to-catch-crypto-laundering/</link>
		
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		<pubDate>Mon, 05 Oct 2026 01:10:39 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Anomaly Detection]]></category>
		<category><![CDATA[Bitcoin]]></category>
		<category><![CDATA[blockchain]]></category>
		<category><![CDATA[cryptocurrency]]></category>
		<category><![CDATA[financial crime]]></category>
		<category><![CDATA[graph neural networks]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[money laundering]]></category>
		<category><![CDATA[pseudo-labels]]></category>
		<category><![CDATA[Self-Supervised Learning]]></category>
		<category><![CDATA[transaction graphs]]></category>
		<category><![CDATA[Transformer]]></category>
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					<description><![CDATA[A new graph-structured Transformer model trained with self-supervised learning and community-consensus pseudo-labeling achieves record F1-scores for detecting cryptocurrency money laundering when almost no labeled illicit transactions are available.]]></description>
		
		
		
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