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	<title>Cellular neural networks &#8211; BIOENGINEER.ORG</title>
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	<lastBuildDate>Mon, 19 Jan 2026 17:18:02 +0000</lastBuildDate>
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	<title>Cellular neural networks &#8211; BIOENGINEER.ORG</title>
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		<title>Accelerating In-Pixel Computing with Memristive Neural Networks</title>
		<link>https://bioengineer.org/accelerating-in-pixel-computing-with-memristive-neural-networks/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 19 Jan 2026 17:17:37 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[analog computing]]></category>
		<category><![CDATA[Analog processing hardware]]></category>
		<category><![CDATA[Cellular neural networks]]></category>
		<category><![CDATA[hardware development]]></category>
		<category><![CDATA[image processing]]></category>
		<category><![CDATA[Image processing acceleration** **Kısa açıklamalar:** 1. **Memristive neural networks:** Makalenin temel teknolojik odağı. 2. **In-pixel computing:** Araştırmanın ba]]></category>
		<category><![CDATA[in-pixel computing]]></category>
		<category><![CDATA[İşte bu içerik için 5 uygun etiket (virgülle ayrılmış): **Memristive neural networks]]></category>
		<category><![CDATA[Memristive neural networks]]></category>
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					<description><![CDATA[In the realm of computational technologies, breakthroughs often arise from the intersection of biology and electronics. The exploration of cellular neural networks, which draw inspiration from the biological retina, holds promise for advancing the field of analogue computing. By mimicking the way biological systems process visual information, researchers have endeavored to create apparatuses that can [&#8230;]]]></description>
		
		
		
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