<story><title>Research team demonstrates world’s fastest optical neuromorphic processor</title><url>https://www.swinburne.edu.au/news/2021/01/swinburne-led-research-team-demonstrates-worlds-fastest-optical-neuromorphic-processor/</url></story><parent_chain></parent_chain><comment><author>bhassel</author><text>ArsTechnica article discussing this paper (and one other), with a bit of background information: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;arstechnica.com&amp;#x2F;science&amp;#x2F;2021&amp;#x2F;01&amp;#x2F;two-ways-of-performing-massively-parallel-ai-calculations-using-light&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;arstechnica.com&amp;#x2F;science&amp;#x2F;2021&amp;#x2F;01&amp;#x2F;two-ways-of-performi...&lt;/a&gt;</text></comment>
<story><title>Research team demonstrates world’s fastest optical neuromorphic processor</title><url>https://www.swinburne.edu.au/news/2021/01/swinburne-led-research-team-demonstrates-worlds-fastest-optical-neuromorphic-processor/</url></story><parent_chain></parent_chain><comment><author>sroussey</author><text>There are several universities, big corporations, and startups taking another look at analog computing, and ML seems to be application that will make it viable.</text></comment>