<?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>Denizaltı Mikrobiyolojisi &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/denizalti-mikrobiyolojisi/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Fri, 28 Nov 2025 17:21:28 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.0</generator>

<image>
	<url>https://bioengineer.org/wp-content/uploads/2019/09/cropped-bioengineering-32x32.png</url>
	<title>Denizaltı Mikrobiyolojisi &#8211; BIOENGINEER.ORG</title>
	<link>https://bioengineer.org</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">72741379</site>	<item>
		<title>AI Revolutionizes Microbial Detection in Deep Seafloor Samples</title>
		<link>https://bioengineer.org/ai-revolutionizes-microbial-detection-in-deep-seafloor-samples/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 28 Nov 2025 17:21:23 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Astrobiyoloji * **Derin Öğrenme:** Makalenin temel teknolojisi olan CNN'ler ve otomatik analiz vurgulanıyor. * **Denizaltı Mikrobiyolojisi:** Çalışmanın örnek]]></category>
		<category><![CDATA[Denizaltı Mikrobiyolojisi]]></category>
		<category><![CDATA[Derin öğrenme]]></category>
		<category><![CDATA[Hücre Tanıma]]></category>
		<category><![CDATA[Mikrobiyal Çeşitlilik]]></category>
		<guid isPermaLink="false">https://bioengineer.org/ai-revolutionizes-microbial-detection-in-deep-seafloor-samples/</guid>

					<description><![CDATA[In an unprecedented leap in microbial research, a groundbreaking study published in Scientific Reports has harnessed deep learning technologies to identify and analyze microbial life within the enigmatic terrains of deep subseafloor samples. This study, spearheaded by researchers including T. Nishimura, Y. Iwamoto, and H. Nagahashi, not only enhances our understanding of microbial ecosystems lying [&#8230;]]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">302914</post-id>	</item>
	</channel>
</rss>
