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<oembed><version>1.0</version><provider_name>Department of Computer Science</provider_name><provider_url>https://www.cs.jhu.edu</provider_url><title>IAA &amp; CS Seminar Series: Daniel Jackson, MIT &#x2013; &#x201C;Certified Control For Autonomous Driving&#x201D; - Department of Computer Science</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://www.cs.jhu.edu/event/iaa-cs-seminar-series-daniel-jackson-mit-certified-control-for-autonomous-driving/"&gt;IAA &amp; CS Seminar Series: Daniel Jackson, MIT &#x2013; &#x201C;Certified Control For Autonomous Driving&#x201D;&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.cs.jhu.edu/event/iaa-cs-seminar-series-daniel-jackson-mit-certified-control-for-autonomous-driving/embed/" width="600" height="338" title="&#x201C;IAA &amp; CS Seminar Series: Daniel Jackson, MIT &#x2013; &#x201C;Certified Control For Autonomous Driving&#x201D;&#x201D; &#x2014; Department of Computer Science" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>LocationZoomAbstractAutonomous driving needs machine learning, because it relies so heavily on perception. But machine learning is notoriously unpredictable and unverifiable. How then can an autonomous car ever be convincingly safe? Dr. Jackson and his research team have been exploring the classic idea of a runtime monitor: a small trusted base that executes in parallel and&hellip;</description></oembed>
