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	<title>ferroelectric gating &#8211; BIOENGINEER.ORG</title>
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		<title>Research report: NUS CDE researchers design AI hardware that filters out irrelevant visual data</title>
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		<category><![CDATA[AI accelerators]]></category>
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		<category><![CDATA[energy-efficient computing]]></category>
		<category><![CDATA[ferroelectric gating]]></category>
		<category><![CDATA[handwritten digit recognition]]></category>
		<category><![CDATA[Molybdenum Disulfide]]></category>
		<category><![CDATA[reconfigurable transistors]]></category>
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		<category><![CDATA[selective attention]]></category>
		<category><![CDATA[spiking neural networks]]></category>
		<category><![CDATA[visual data filtering]]></category>
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					<description><![CDATA[A reconfigurable transistor and neural-network-in-logic architecture reduced the hardware needed for handwritten-digit recognition in simulation and produced large estimated energy savings for targeted traffic-scene analysis.]]></description>
		
		
		
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