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	<title>Gigaom Search &#187; People &#187; Andrew Ng</title>
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		<title>New to deep learning? Here are 4 easy lessons from Google</title>
		<link>http://gigaom.com/2015/01/29/new-to-deep-learning-here-are-4-easy-lessons-from-google/</link>
		<comments>http://gigaom.com/2015/01/29/new-to-deep-learning-here-are-4-easy-lessons-from-google/#comments</comments>
		<pubDate>Fri, 30 Jan 2015 01:26:11 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[object recognition]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=911067</guid>
		<description><![CDATA[Google employs some of the world's smartest researchers in deep learning and artificial intelligence, so it's not a bad idea to listen to what they have to say about the space. One&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/01/29/new-to-deep-learning-here-are-4-easy-lessons-from-google/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
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		<title>Baidu built a supercomputer for deep learning</title>
		<link>https://gigaom.com/2015/01/14/baidu-has-built-a-supercomputer-for-deep-learning/</link>
		<comments>https://gigaom.com/2015/01/14/baidu-has-built-a-supercomputer-for-deep-learning/#comments</comments>
		<pubDate>Thu, 15 Jan 2015 01:25:21 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[image recognition]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[object recognition]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=906667</guid>
		<description><![CDATA[Chinese search engine company Baidu says it has built the world's most-accurate computer vision system, dubbed Deep Image, which runs on a supercomputer optimized for deep learning algorithms. Baidu claims a 5.98&#8230;]]></description>
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		<slash:comments>2</slash:comments>
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		<title>Baidu claims deep learning breakthrough with Deep Speech</title>
		<link>https://gigaom.com/2014/12/18/baidu-claims-deep-learning-breakthrough-with-deep-speech/</link>
		<comments>https://gigaom.com/2014/12/18/baidu-claims-deep-learning-breakthrough-with-deep-speech/#comments</comments>
		<pubDate>Thu, 18 Dec 2014 14:33:41 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[machine learning]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=901378</guid>
		<description><![CDATA[Chinese search engine giant Baidu says it has developed a speech recognition system, called Deep Speech, the likes of which has never been seen, especially in noisy environments. In restaurant settings&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/18/baidu-claims-deep-learning-breakthrough-with-deep-speech/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
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		<title>Researchers hope deep learning algorithms can run on FPGAs and supercomputers</title>
		<link>https://gigaom.com/2014/08/14/researchers-hope-deep-learning-algorithms-can-run-on-fpgas-and-supercomputers/</link>
		<comments>https://gigaom.com/2014/08/14/researchers-hope-deep-learning-algorithms-can-run-on-fpgas-and-supercomputers/#comments</comments>
		<pubDate>Thu, 14 Aug 2014 22:27:24 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[FPGA]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[RDMA]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=865248</guid>
		<description><![CDATA[The NSF has funded projects that will investigate how deep learning algorithms run on FPGAs and across systems using the high-performance RDMA interconnect. Another project, led by Andrew Ng and two&#8230;]]></description>
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		<slash:comments>3</slash:comments>
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		<title>Gigaom meetup: Talk, learn and hear about the future of AI and deep learning</title>
		<link>https://gigaom.com/2014/08/11/gigaom-meetup-talk-learn-and-hear-about-the-future-of-ai-and-deep-learning/</link>
		<comments>https://gigaom.com/2014/08/11/gigaom-meetup-talk-learn-and-hear-about-the-future-of-ai-and-deep-learning/#comments</comments>
		<pubDate>Mon, 11 Aug 2014 18:46:05 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Gigaom meetup]]></category>
		<category><![CDATA[machine learning]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=864278</guid>
		<description><![CDATA[Join Gigaom for a free meetup on artificial intelligence and machine learning. Speakers from Google, Microsoft Research, Baidu and more will discuss the state of the art in fields such as&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/08/11/gigaom-meetup-talk-learn-and-hear-about-the-future-of-ai-and-deep-learning/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Robots helped inspire deep learning and might become its killer app</title>
		<link>https://gigaom.com/2014/07/29/robots-helped-inspire-deep-learning-and-might-become-its-killer-app/</link>
		<comments>https://gigaom.com/2014/07/29/robots-helped-inspire-deep-learning-and-might-become-its-killer-app/#comments</comments>
		<pubDate>Tue, 29 Jul 2014 22:40:18 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[machine learning]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=858466</guid>
		<description><![CDATA[Andrew Ng knows a lot about both deep learning and robotics, and he recently presented on how the former might affect the latter. Robot brains will need to train on a&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/29/robots-helped-inspire-deep-learning-and-might-become-its-killer-app/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
		</item>
		<item>
		<title>Coursera co-founder Andrew Ng to head up Baidu&#8217;s AI team</title>
		<link>https://gigaom.com/2014/05/16/coursera-co-founder-andrew-ng-leaves-for-baidus-ai-team/</link>
		<comments>https://gigaom.com/2014/05/16/coursera-co-founder-andrew-ng-leaves-for-baidus-ai-team/#comments</comments>
		<pubDate>Fri, 16 May 2014 16:55:04 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[massive open online courses (MOOCs)]]></category>
		<category><![CDATA[MOOCs]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=842296</guid>
		<description><![CDATA[Coursera co-founder and Stanford researcher Andrew Ng is leaving his day-to-day role at Coursera and joining Chinese search engine provider Baidu as its chief scientist. Ng is among a handful of&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/05/16/coursera-co-founder-andrew-ng-leaves-for-baidus-ai-team/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Coursera partners with Amara for crowdsourced captioning</title>
		<link>https://gigaom.com/2012/08/27/coursera-amara-captions/</link>
		<comments>https://gigaom.com/2012/08/27/coursera-amara-captions/#comments</comments>
		<pubDate>Mon, 27 Aug 2012 17:32:01 +0000</pubDate>
		<dc:creator><![CDATA[Janko Roettgers]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[captions]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=557123</guid>
		<description><![CDATA[Lectures from Stanford, Rice, Duke, UCSF and a dozen other schools are being made freely available worldwide in dozens of languages, thanks to a partnership between online education startup Coursera and&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2012/08/27/coursera-amara-captions/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Two startups aim to make higher education more affordable &#8212; or free</title>
		<link>https://gigaom.com/2012/04/18/two-startups-aim-to-make-higher-education-more-affordable-or-free/</link>
		<comments>https://gigaom.com/2012/04/18/two-startups-aim-to-make-higher-education-more-affordable-or-free/#comments</comments>
		<pubDate>Wed, 18 Apr 2012 09:00:32 +0000</pubDate>
		<dc:creator><![CDATA[Laura Owen]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Akademos]]></category>
		<category><![CDATA[Daphne Koller]]></category>
		<category><![CDATA[higher education]]></category>
		<category><![CDATA[john squires]]></category>
		<category><![CDATA[Princeton]]></category>
		<category><![CDATA[textbooks]]></category>
		<category><![CDATA[venture capital]]></category>
		<category><![CDATA[venture capital (VC)]]></category>

		<guid isPermaLink="false">http://paidcontent.org/?p=205999</guid>
		<description><![CDATA[Higher education costs have skyrocketed by over 430 percent since the 1980s. Now two startups aim to make college courses more affordable. Coursera offers free online courses from universities like Stanford&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2012/04/18/two-startups-aim-to-make-higher-education-more-affordable-or-free/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
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