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		<title>Analogue Memory Chips Run Fast Fourier Transforms for Edge Signal Processing</title>
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		<pubDate>Mon, 19 Oct 2026 17:00:17 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[analogue computing]]></category>
		<category><![CDATA[charge-trapping memory]]></category>
		<category><![CDATA[edge devices]]></category>
		<category><![CDATA[energy efficiency]]></category>
		<category><![CDATA[fast Fourier transform]]></category>
		<category><![CDATA[in-memory computing]]></category>
		<category><![CDATA[Nature Electronics]]></category>
		<category><![CDATA[non-volatile memory]]></category>
		<category><![CDATA[Sandia National Laboratories]]></category>
		<category><![CDATA[Signal Processing]]></category>
		<category><![CDATA[SONOS memory]]></category>
		<category><![CDATA[synthetic aperture radar]]></category>
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					<description><![CDATA[Researchers have experimentally demonstrated analogue fast Fourier transforms on charge-trapping memory arrays, computing transforms of up to 65,536 points across more than 524,000 devices in a single chip.]]></description>
		
		
		
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