<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bin Shi | PHINDER EIC Project</title><link>https://phinder-eic.github.io/author/bin-shi/</link><atom:link href="https://phinder-eic.github.io/author/bin-shi/index.xml" rel="self" type="application/rss+xml"/><description>Bin Shi</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2022 00:00:00 +0000</lastBuildDate><image><url>https://phinder-eic.github.io/media/icon_hu_526da948f480ce3f.png</url><title>Bin Shi</title><link>https://phinder-eic.github.io/author/bin-shi/</link></image><item><title>InP photonic integrated multi-layer neural networks: Architecture and performance analysis</title><link>https://phinder-eic.github.io/publication/shi-2022-inp-networks/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/shi-2022-inp-networks/</guid><description>&lt;h2 id="relevance-to-phinder"&gt;Relevance to PHINDER&lt;/h2&gt;
&lt;p&gt;A wavelength-multiplexed InP architecture shows how weighted optical connections and nonlinear elements can form multiple neural-network layers.&lt;/p&gt;
&lt;p&gt;This publication is background research for the project.&lt;/p&gt;</description></item><item><title>Deep Neural Network Through an InP SOA-Based Photonic Integrated Cross-Connect</title><link>https://phinder-eic.github.io/publication/shi-2020-inp-cross-connect/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://phinder-eic.github.io/publication/shi-2020-inp-cross-connect/</guid><description>&lt;h2 id="relevance-to-phinder"&gt;Relevance to PHINDER&lt;/h2&gt;
&lt;p&gt;An InP semiconductor-optical-amplifier cross-connect provides background for integrated photonic neural-network architectures.&lt;/p&gt;
&lt;p&gt;This publication is background research for the project.&lt;/p&gt;</description></item></channel></rss>