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	<title>video production &#8211; Noise</title>
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		<title>Accelerating Video Quality Control at Netflix with Pixel Error Detection</title>
		<link>https://noise.getoto.net/2025/08/12/accelerating-video-quality-control-at-netflix-with-pixel-error-detection/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Mon, 11 Aug 2025 21:29:57 +0000</pubDate>
				<category><![CDATA[image-processing]]></category>
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					<description><![CDATA[By Leo Isikdogan, Jesse Korosi, Zile Liao, Nagendra Kamath, Ananya PoddarAt Netflix, we support the filmmaking process that merges creativity with technology. This includes reducing manual workloads wherever possible. Automating tedious tasks that take...]]></description>
		
		
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		<title>How to create great educational video content for computing and beyond</title>
		<link>https://noise.getoto.net/2022/07/19/how-to-create-great-educational-video-content-for-computing-and-beyond/</link>
		
		<dc:creator><![CDATA[Michael Conterio]]></dc:creator>
		<pubDate>Tue, 19 Jul 2022 09:04:33 +0000</pubDate>
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		<category><![CDATA[education]]></category>
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		<category><![CDATA[online educational video content]]></category>
		<category><![CDATA[Teach Online]]></category>
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					<description><![CDATA[<p>Over the past five years, we’ve made lots of online educational video content for our online courses, for our Isaac Computer Science platform for GCSE and A level, and for our remote lessons based on our Teach Computing Curriculum hosted on Oak National Academy. We have learned a lot from experience and from learner feedback,…</p>
<p>The post <a rel="nofollow" href="https://www.raspberrypi.org/blog/how-to-create-educational-video-content-computing-computer-science/">How to create great educational video content for computing and beyond</a> appeared first on <a rel="nofollow" href="https://www.raspberrypi.org/">Raspberry Pi</a>.</p>]]></description>
		
		
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