<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>AI Archives - Petamind</title>
	<atom:link href="https://petaminds.com/tag/ai/feed/" rel="self" type="application/rss+xml" />
	<link>https://petaminds.com/tag/ai/</link>
	<description>A.I, Data and Software Engineering</description>
	<lastBuildDate>Thu, 09 Dec 2021 19:30:40 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>

<image>
	<url>https://petaminds.com/wp-content/uploads/2019/09/ic_launcher.png</url>
	<title>AI Archives - Petamind</title>
	<link>https://petaminds.com/tag/ai/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Play with computer vision using teachable machine</title>
		<link>https://petaminds.com/play-with-computer-vision-using-teachable-machine/</link>
					<comments>https://petaminds.com/play-with-computer-vision-using-teachable-machine/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Thu, 09 Dec 2021 00:16:21 +0000</pubDate>
				<category><![CDATA[Cloud]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[aws]]></category>
		<category><![CDATA[computer vision]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=3459</guid>

					<description><![CDATA[<p>Nowadays, with the existing tools, creating an AI application is not so complicated. In this post, I will quickly show how easy you can make a computer vision project within 10 minutes. Steps Create a computer vision project in Teachable machine Prepare some images of different classes, e.g. cup, people, hand. Upload photos and train [&#8230;]</p>
<p>The post <a href="https://petaminds.com/play-with-computer-vision-using-teachable-machine/">Play with computer vision using teachable machine</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
					<wfw:commentRss>https://petaminds.com/play-with-computer-vision-using-teachable-machine/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>AI in agriculture: fruit grading  (Part 1)</title>
		<link>https://petaminds.com/use-ai-technology-in-agriculture-for-fruit-grading-part-1/</link>
					<comments>https://petaminds.com/use-ai-technology-in-agriculture-for-fruit-grading-part-1/#comments</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Thu, 26 Sep 2019 03:37:27 +0000</pubDate>
				<category><![CDATA[back-end]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[front-end]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[classification]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[fruit]]></category>
		<category><![CDATA[fruit grading]]></category>
		<category><![CDATA[Machine learning]]></category>
		<category><![CDATA[neural network]]></category>
		<guid isPermaLink="false">http://petaminds.com/?p=645</guid>

					<description><![CDATA[<p>During a meet up last month, a friend told me about the current project on a farm in New Zealand. They want to build a system to grade their fruits and AI is the technology they are looking for. It inspired me to write about how machine learning can help in solving such a problem. [&#8230;]</p>
<p>The post <a href="https://petaminds.com/use-ai-technology-in-agriculture-for-fruit-grading-part-1/">AI in agriculture: fruit grading  (Part 1)</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
					<wfw:commentRss>https://petaminds.com/use-ai-technology-in-agriculture-for-fruit-grading-part-1/feed/</wfw:commentRss>
			<slash:comments>1</slash:comments>
		
		
			</item>
		<item>
		<title>The evolution of Trust &#8211; Fun game theory</title>
		<link>https://petaminds.com/the-evolution-of-trust-fun/</link>
					<comments>https://petaminds.com/the-evolution-of-trust-fun/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Wed, 17 Jul 2019 02:35:05 +0000</pubDate>
				<category><![CDATA[front-end]]></category>
		<category><![CDATA[Game Dev]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[game]]></category>
		<category><![CDATA[intelligent agent]]></category>
		<category><![CDATA[research]]></category>
		<category><![CDATA[trust]]></category>
		<guid isPermaLink="false">http://petaminds.com/?p=554</guid>

					<description><![CDATA[<p>Intro Game theory is the study of mathematical models of strategic interaction between rational decision-makers. It has applications in all fields of social science, as well as in logic and computer science [1]. In many AI application, e.g. multi-agent systems, this theory plays a very important role in agent&#8217; reasoning. Please note that this theory is [&#8230;]</p>
<p>The post <a href="https://petaminds.com/the-evolution-of-trust-fun/">The evolution of Trust &#8211; Fun game theory</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
					<wfw:commentRss>https://petaminds.com/the-evolution-of-trust-fun/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
		<item>
		<title>Machine learning quick note</title>
		<link>https://petaminds.com/machine-learning-quick-note/</link>
					<comments>https://petaminds.com/machine-learning-quick-note/#comments</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Mon, 01 Oct 2018 09:43:19 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[front-end]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[algorithm]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[Machine learning]]></category>
		<category><![CDATA[python]]></category>
		<guid isPermaLink="false">http://petaminds.com/?p=355</guid>

					<description><![CDATA[<p>Machine learning is a terminology to describe the uses statistical techniques to give computer systems the ability to &#8220;learn&#8221; (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed. You can think of machine learning as the brains&#160;behind AI technologies, and AI technologies do the actions.&#160;More technically, machine learning is the [&#8230;]</p>
<p>The post <a href="https://petaminds.com/machine-learning-quick-note/">Machine learning quick note</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
					<wfw:commentRss>https://petaminds.com/machine-learning-quick-note/feed/</wfw:commentRss>
			<slash:comments>1</slash:comments>
		
		
			</item>
	</channel>
</rss>
