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	<title>Gigaom Search &#187; image recognition</title>
	<atom:link href="http://search.gigaom.com/tag/image-recognition/feed/" rel="self" type="application/rss+xml" />
	<link>http://search.gigaom.com</link>
	<description>Search and browse the archives</description>
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		<title>Microsoft says its new computer vision system can outperform humans</title>
		<link>http://gigaom.com/2015/02/13/microsoft-says-its-new-computer-vision-system-can-outperform-humans/</link>
		<comments>http://gigaom.com/2015/02/13/microsoft-says-its-new-computer-vision-system-can-outperform-humans/#comments</comments>
		<pubDate>Fri, 13 Feb 2015 19:17:35 +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[Microsoft Research]]></category>
		<category><![CDATA[object recognition]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=914914</guid>
		<description><![CDATA[Microsoft researchers claim in a recently published paper that they have developed the first computer system capable of outperforming humans on a popular benchmark. While it's estimated that humans can classify images in&#8230;]]></description>
		<wfw:commentRss>http://gigaom.com/2015/02/13/microsoft-says-its-new-computer-vision-system-can-outperform-humans/feed/</wfw:commentRss>
		<slash:comments>6</slash:comments>
		</item>
		<item>
		<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>
		<wfw:commentRss>https://gigaom.com/2015/01/14/baidu-has-built-a-supercomputer-for-deep-learning/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Deep learning now tackling autism and matching monkeys&#8217; vision</title>
		<link>https://gigaom.com/2014/12/19/deep-learning-now-tackling-autism-and-matching-monkeys-vision/</link>
		<comments>https://gigaom.com/2014/12/19/deep-learning-now-tackling-autism-and-matching-monkeys-vision/#comments</comments>
		<pubDate>Fri, 19 Dec 2014 22:12:36 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[gene sequencing]]></category>
		<category><![CDATA[genetic data]]></category>
		<category><![CDATA[genetics]]></category>
		<category><![CDATA[genomic data]]></category>
		<category><![CDATA[image recognition]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[object recognition]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=901934</guid>
		<description><![CDATA[Two studies published this week provide even more evidence that deep learning models are very good at computer vision and might be able to tackle some difficult problems. The study on computer&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/19/deep-learning-now-tackling-autism-and-matching-monkeys-vision/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>IBM bringing its skin-cancer computer vision system to hospitals</title>
		<link>https://gigaom.com/2014/12/17/ibm-bringing-its-skin-cancer-computer-vision-system-to-hospitals/</link>
		<comments>https://gigaom.com/2014/12/17/ibm-bringing-its-skin-cancer-computer-vision-system-to-hospitals/#comments</comments>
		<pubDate>Wed, 17 Dec 2014 22:45:37 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[ibm-watson]]></category>
		<category><![CDATA[image recognition]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[object recognition]]></category>
		<category><![CDATA[Watson]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:IBM]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=901239</guid>
		<description><![CDATA[IBM says it has developed a machine learning system that identified images of skin cancer with better than 95 percent accuracy in experiments, and it's now teaming up with doctors to&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/17/ibm-bringing-its-skin-cancer-computer-vision-system-to-hospitals/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Deep learning might help you get an ultrasound at Walgreens</title>
		<link>https://gigaom.com/2014/11/20/deep-learning-might-help-you-get-an-ultrasound-at-walgreens/</link>
		<comments>https://gigaom.com/2014/11/20/deep-learning-might-help-you-get-an-ultrasound-at-walgreens/#comments</comments>
		<pubDate>Thu, 20 Nov 2014 19:48:17 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Butterfly Network]]></category>
		<category><![CDATA[health care]]></category>
		<category><![CDATA[healthcare]]></category>
		<category><![CDATA[image recognition]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[medical data]]></category>
		<category><![CDATA[medical images]]></category>
		<category><![CDATA[object recognition]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=889463</guid>
		<description><![CDATA[A new startup called Butterfly Network, from genomic-technology pioneer Jonathan Rothberg, hopes to improve the world of medical imaging using advanced chip technologies, tablet devices and deep learning. Rothberg explains how&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/20/deep-learning-might-help-you-get-an-ultrasound-at-walgreens/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>What&#8217;s missing from Apple&#8217;s iOS8 photo features</title>
		<link>http://research.gigaom.com/2014/06/whats-missing-from-apples-ios8-photo-features/</link>
		<comments>http://research.gigaom.com/2014/06/whats-missing-from-apples-ios8-photo-features/#comments</comments>
		<pubDate>Fri, 20 Jun 2014 20:20:07 +0000</pubDate>
		<dc:creator><![CDATA[Hans Hartman]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[image recognition]]></category>
		<category><![CDATA[photo apps]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AAPL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AAPL]]></category>
		
		<guid isPermaLink="false">http://research.gigaom.com/?p=231658</guid>
		<description><![CDATA[Apple's iOS8 photo announcements come up short on social site sync and leading-edge search. That leaves plenty of room other apps to innovate on combining metadata, social graphs, and image recognition.]]></description>
		<wfw:commentRss>http://research.gigaom.com/2014/06/whats-missing-from-apples-ios8-photo-features/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Image recognition: Consumer products will drive enterprise breakthroughs</title>
		<link>http://research.gigaom.com/report/image-recognition-consumer-products-will-drive-enterprise-breakthroughs/</link>
		<comments>http://research.gigaom.com/report/image-recognition-consumer-products-will-drive-enterprise-breakthroughs/#comments</comments>
		<pubDate>Wed, 04 Jun 2014 12:32:17 +0000</pubDate>
		<dc:creator><![CDATA[Hans Hartman]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[CAPTCHA]]></category>
		<category><![CDATA[image recognition]]></category>
		<category><![CDATA[ImageNet]]></category>
		<category><![CDATA[Instagram Direct]]></category>
		<category><![CDATA[national security]]></category>
		<category><![CDATA[OCR]]></category>
		<category><![CDATA[privacy]]></category>
		<category><![CDATA[ugc]]></category>
		<category><![CDATA[user-generated content]]></category>
		<category><![CDATA[web 2.0]]></category>
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		<guid isPermaLink="false">http://research.gigaom.com/?post_type=go-report&#038;p=230717/</guid>
		<description><![CDATA[Look for products in areas like consumer photo organizing, photo services, advertising and ecommerce.]]></description>
		<wfw:commentRss>http://research.gigaom.com/report/image-recognition-consumer-products-will-drive-enterprise-breakthroughs/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Deep learning might make your Netflix recommendations a lot better</title>
		<link>https://gigaom.com/2014/02/11/deep-learning-might-make-your-netflix-recommendations-a-whole-lot-better/</link>
		<comments>https://gigaom.com/2014/02/11/deep-learning-might-make-your-netflix-recommendations-a-whole-lot-better/#comments</comments>
		<pubDate>Tue, 11 Feb 2014 20:17:18 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[image recognition]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[object recognition]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure Data 2014]]></category>
		<category><![CDATA[Structure:Data]]></category>
		<category><![CDATA[Structure:Data 2014]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=815851</guid>
		<description><![CDATA[Netflix is the latest company to acknowledge that it's researching new approaches to artificial intelligence that could help improve its products. Although it hasn't said where it might apply deep learning&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/02/11/deep-learning-might-make-your-netflix-recommendations-a-whole-lot-better/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Google isn&#8217;t the only company working on artificial intelligence. It&#8217;s just the richest</title>
		<link>https://gigaom.com/2014/01/29/google-isnt-the-only-company-working-on-artificial-intelligence-its-just-the-richest/</link>
		<comments>https://gigaom.com/2014/01/29/google-isnt-the-only-company-working-on-artificial-intelligence-its-just-the-richest/#comments</comments>
		<pubDate>Wed, 29 Jan 2014 18:30:16 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[deepmind]]></category>
		<category><![CDATA[image recognition]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[object recognition]]></category>
		<category><![CDATA[Structure Data]]></category>
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		<category><![CDATA[text analysis]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=806309</guid>
		<description><![CDATA[Everyone's more interested in artificial intelligence since news broke that Google acquired a secretive startup called DeepMind. The technology has big promise, but make no mistake: It's not sentient yet, and&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/01/29/google-isnt-the-only-company-working-on-artificial-intelligence-its-just-the-richest/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>Pinterest, Yahoo, Dropbox and the (kind of) quiet content-as-data revolution</title>
		<link>https://gigaom.com/2014/01/06/pinterest-yahoo-dropbox-and-the-kind-of-quiet-content-as-data-revolution/</link>
		<comments>https://gigaom.com/2014/01/06/pinterest-yahoo-dropbox-and-the-kind-of-quiet-content-as-data-revolution/#comments</comments>
		<pubDate>Mon, 06 Jan 2014 21:24:38 +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[Structure Data]]></category>
		<category><![CDATA[Structure:Data]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=789455</guid>
		<description><![CDATA[There has been a spate of acquisitions lately targeting companies and founders with expertise in using machine learning to analyze images and text. Although buyers such as Pinterest and Yahoo are&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/01/06/pinterest-yahoo-dropbox-and-the-kind-of-quiet-content-as-data-revolution/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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