<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI |</title><link>https://doost.rice.edu/tags/ai/</link><atom:link href="https://doost.rice.edu/tags/ai/index.xml" rel="self" type="application/rss+xml"/><description>AI</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><image><url>https://doost.rice.edu/media/icon_hu_702a800cd775dbac.png</url><title>AI</title><link>https://doost.rice.edu/tags/ai/</link></image><item><title>AReS</title><link>https://doost.rice.edu/projects/ares/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://doost.rice.edu/projects/ares/</guid><description>&lt;p&gt;&lt;strong&gt;AReS&lt;/strong&gt; (Connectivity and Situational Awareness via AI-Enabled ISAC)
aims to help first responders assess damaged environments, restore and
adapt wireless connectivity, localize people and assets, and deliver
real-time situational awareness. By enabling wireless networks to sense
their surroundings as well as communicate, AReS supports more informed
and coordinated disaster recovery.&lt;/p&gt;</description></item></channel></rss>