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	<title>human cognition &#8211; BIOENGINEER.ORG</title>
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		<title>Why the Human Brain&#8217;s 20-Watt Budget Could Reshape Energy-Hungry AI</title>
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		<pubDate>Mon, 12 Oct 2026 11:06:53 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[adaptive inference]]></category>
		<category><![CDATA[data centers]]></category>
		<category><![CDATA[data movement]]></category>
		<category><![CDATA[energy efficiency]]></category>
		<category><![CDATA[Green AI]]></category>
		<category><![CDATA[human cognition]]></category>
		<category><![CDATA[in-memory computing]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[Machine Learning]]></category>
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		<category><![CDATA[scaling laws]]></category>
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					<description><![CDATA[A sweeping new review maps seven interacting energy constraints in large-scale AI and argues that resource-allocation strategies from the 20-watt human brain can guide more sustainable language-model design.]]></description>
		
		
		
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