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	<title>threshold logic &#8211; BIOENGINEER.ORG</title>
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		<title>Adiabatic capacitive neuron: an energy-efficient functional unit for artificial neural networks</title>
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		<pubDate>Sat, 17 Oct 2026 13:38:49 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[adiabatic logic]]></category>
		<category><![CDATA[Artificial neural networks]]></category>
		<category><![CDATA[binary neural networks]]></category>
		<category><![CDATA[capacitive synapses]]></category>
		<category><![CDATA[charge recovery]]></category>
		<category><![CDATA[CMOS]]></category>
		<category><![CDATA[energy-efficient computing]]></category>
		<category><![CDATA[low-power design]]></category>
		<category><![CDATA[Monte Carlo analysis]]></category>
		<category><![CDATA[neuromorphic hardware]]></category>
		<category><![CDATA[threshold logic]]></category>
		<category><![CDATA[voltage scaling]]></category>
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					<description><![CDATA[Researchers at the University of Edinburgh have developed an adiabatic capacitive neuron that recycles electrical charge to cut artificial neural network hardware energy consumption by more than 90 percent while maintaining robust operation across process, voltage, and temperature variations.]]></description>
		
		
		
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