<?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>Systems/Chaos/Pattern Formation/Complexity &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/systems-chaos-pattern-formation-complexity/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Sat, 06 Sep 2025 14:49:13 +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>Systems/Chaos/Pattern Formation/Complexity &#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>Scientists adopt deep learning for multi-object tracking</title>
		<link>https://bioengineer.org/scientists-adopt-deep-learning-for-multi-object-tracking/</link>
					<comments>https://bioengineer.org/scientists-adopt-deep-learning-for-multi-object-tracking/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 19 Jul 2021 15:26:04 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Industrial Engineering/Chemistry]]></category>
		<category><![CDATA[Information Management/Tracking Systems]]></category>
		<category><![CDATA[Multimedia/Networking/Interface Design]]></category>
		<category><![CDATA[Social/Behavioral Science]]></category>
		<category><![CDATA[Software Engineering]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/scientists-adopt-deep-learning-for-multi-object-tracking/</guid>

					<description><![CDATA[Their novel framework achieves state-of-the-art performance without sacrificing efficiency in public surveillance tasks Credit: Gwangju Institute of Science and Technology Computer vision has progressed much over the past decade and made its way into all sorts of relevant applications, both in academia and in our daily lives. There are, however, some tasks in this field [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/scientists-adopt-deep-learning-for-multi-object-tracking/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">174023</post-id>	</item>
		<item>
		<title>Tracking COVID-19 across Europe</title>
		<link>https://bioengineer.org/tracking-covid-19-across-europe/</link>
					<comments>https://bioengineer.org/tracking-covid-19-across-europe/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 15 Jul 2021 14:46:30 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Demography]]></category>
		<category><![CDATA[Health Care]]></category>
		<category><![CDATA[Health Care Systems/Services]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<category><![CDATA[Number Literacy/General Statistics]]></category>
		<category><![CDATA[Public Health]]></category>
		<category><![CDATA[Socioeconomics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/tracking-covid-19-across-europe/</guid>

					<description><![CDATA[Credit: A. Naqvi (2021) According to the World Health Organization, a third wave of COVID infections is now all but inevitable in Europe. A COVID tracker developed by IIASA researcher Asjad Naqvi, aims to identify, collect, and collate various official regional datasets for European countries, while also combining and homogenizing the data to help researchers [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/tracking-covid-19-across-europe/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173841</post-id>	</item>
		<item>
		<title>Galactic gamma ray bursts predicted last year show up right on schedule</title>
		<link>https://bioengineer.org/galactic-gamma-ray-bursts-predicted-last-year-show-up-right-on-schedule/</link>
					<comments>https://bioengineer.org/galactic-gamma-ray-bursts-predicted-last-year-show-up-right-on-schedule/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 13 Jul 2021 21:25:12 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Astrophysics]]></category>
		<category><![CDATA[Satellite Missions/Shuttles]]></category>
		<category><![CDATA[Space/Planetary Science]]></category>
		<category><![CDATA[Stars/The Sun]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/galactic-gamma-ray-bursts-predicted-last-year-show-up-right-on-schedule/</guid>

					<description><![CDATA[Sherlock Holmes story gives clue to successful prediction of bursts from nearby magnetar Credit: Mikhail Denissenya, Nazarbayev University, Kazakhstan Magnetars are bizarre objects &#8212; massive, spinning neutron stars with magnetic fields among the most powerful known, capable of shooting off brief bursts of radio waves so bright they&#8217;re visible across the universe. A team of [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/galactic-gamma-ray-bursts-predicted-last-year-show-up-right-on-schedule/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173687</post-id>	</item>
		<item>
		<title>Of the same stripe: Turing patterns link tropical fish and bismuth crystal growth</title>
		<link>https://bioengineer.org/of-the-same-stripe-turing-patterns-link-tropical-fish-and-bismuth-crystal-growth/</link>
					<comments>https://bioengineer.org/of-the-same-stripe-turing-patterns-link-tropical-fish-and-bismuth-crystal-growth/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 08 Jul 2021 16:19:55 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Atomic/Molecular/Particle Physics]]></category>
		<category><![CDATA[Biology]]></category>
		<category><![CDATA[Biomechanics/Biophysics]]></category>
		<category><![CDATA[Chemistry/Physics/Materials Sciences]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/of-the-same-stripe-turing-patterns-link-tropical-fish-and-bismuth-crystal-growth/</guid>

					<description><![CDATA[Scientists prove Turing patterns, usually studied in living organisms and chemical systems, also manifest at the nanoscale in monoatomic bismuth layers Credit: Yuki Fuseya from University of Electro-Communications One of the things the human brain naturally excels at is recognizing all sorts of patterns, such as stripes on zebras, shells of turtles, and even the [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/of-the-same-stripe-turing-patterns-link-tropical-fish-and-bismuth-crystal-growth/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173365</post-id>	</item>
		<item>
		<title>NUS researchers bring attack-proof quantum communication two steps forward</title>
		<link>https://bioengineer.org/nus-researchers-bring-attack-proof-quantum-communication-two-steps-forward/</link>
					<comments>https://bioengineer.org/nus-researchers-bring-attack-proof-quantum-communication-two-steps-forward/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 08 Jul 2021 15:12:37 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Internet]]></category>
		<category><![CDATA[Research/Development]]></category>
		<category><![CDATA[System Security/Hackers]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<category><![CDATA[Theory/Design]]></category>
		<guid isPermaLink="false">https://bioengineer.org/nus-researchers-bring-attack-proof-quantum-communication-two-steps-forward/</guid>

					<description><![CDATA[Credit: National University of Singapore Quantum key distribution (QKD) is a method for secure communication that uses quantum mechanics to encrypt information. While the security of QKD is unbreakable in principle, if it is incorrectly implemented, vital information could still be stolen by attackers. These are known as side-channel attacks, where the attackers exploit weaknesses [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/nus-researchers-bring-attack-proof-quantum-communication-two-steps-forward/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173349</post-id>	</item>
		<item>
		<title>Rethinking southeast asia&#8217;s energy plans</title>
		<link>https://bioengineer.org/rethinking-southeast-asias-energy-plans/</link>
					<comments>https://bioengineer.org/rethinking-southeast-asias-energy-plans/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 06 Jul 2021 16:57:29 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[Energy Sources]]></category>
		<category><![CDATA[Energy/Fuel (non-petroleum)]]></category>
		<category><![CDATA[Hydrology/Water Resources]]></category>
		<category><![CDATA[Research/Development]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<category><![CDATA[Theory/Design]]></category>
		<guid isPermaLink="false">https://bioengineer.org/rethinking-southeast-asias-energy-plans/</guid>

					<description><![CDATA[Scientists in Singapore are calling for revisions in planned hydropower expansions in light of the rapidly decreasing cost of solar photovoltaic systems Credit: SUTD Big hydropower plants are an important source of clean and cheap electricity for many countries in Southeast Asia. However, dams harm the environment and have dire consequences on local communities. Building [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/rethinking-southeast-asias-energy-plans/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173123</post-id>	</item>
		<item>
		<title>A new understanding of patterns in fluid flow</title>
		<link>https://bioengineer.org/a-new-understanding-of-patterns-in-fluid-flow/</link>
					<comments>https://bioengineer.org/a-new-understanding-of-patterns-in-fluid-flow/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 06 Jul 2021 14:35:56 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Biomedical/Environmental/Chemical Engineering]]></category>
		<category><![CDATA[Chemistry/Physics/Materials Sciences]]></category>
		<category><![CDATA[Geology/Soil]]></category>
		<category><![CDATA[Geophysics]]></category>
		<category><![CDATA[Hydrology/Water Resources]]></category>
		<category><![CDATA[Industrial Engineering/Chemistry]]></category>
		<category><![CDATA[Mechanical Engineering]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/a-new-understanding-of-patterns-in-fluid-flow/</guid>

					<description><![CDATA[A persistent pattern formation dynamics is observed and explained through an inter-disciplinary study between chemical engineering and mathematics, and this understanding would be useful for predicting phenomena in oil recovery and spreading of groundwate Credit: w/ credit The international collaborative team of Tokyo University of Agriculture and Technology (TUAT) in Japan and Indian Institute of [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/a-new-understanding-of-patterns-in-fluid-flow/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173019</post-id>	</item>
		<item>
		<title>Humboldt Professorship for artificial intelligence for Bielefeld University</title>
		<link>https://bioengineer.org/humboldt-professorship-for-artificial-intelligence-for-bielefeld-university/</link>
					<comments>https://bioengineer.org/humboldt-professorship-for-artificial-intelligence-for-bielefeld-university/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 01 Jul 2021 16:51:53 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Robotry/Artificial Intelligence]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/humboldt-professorship-for-artificial-intelligence-for-bielefeld-university/</guid>

					<description><![CDATA[Computer scientist Yaochu Jin receives Germany&#8217;s highest international research award Credit: Photo: Pei An Bielefeld University has been awarded its second Alexander von Humboldt Professorship. This time, it goes to the computer scientist Professor Dr Yaochu Jin. He is one of the world&#8217;s leading experts on evolutionary algorithms&#8211;a form of artificial intelligence (AI) that optimizes [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/humboldt-professorship-for-artificial-intelligence-for-bielefeld-university/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">172889</post-id>	</item>
		<item>
		<title>Quantum random number generator sets benchmark for size, performance</title>
		<link>https://bioengineer.org/quantum-random-number-generator-sets-benchmark-for-size-performance/</link>
					<comments>https://bioengineer.org/quantum-random-number-generator-sets-benchmark-for-size-performance/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 29 Jun 2021 15:32:36 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Atomic Physics]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Chemistry/Physics/Materials Sciences]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Nuclear Physics]]></category>
		<category><![CDATA[Number Literacy/General Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/quantum-random-number-generator-sets-benchmark-for-size-performance/</guid>

					<description><![CDATA[At roughly the size of a fingertip, the integrated photonics chip delivers random number output more than twice as fast as conventional QRNGs. WASHINGTON, June 29, 2021 &#8212; As pervasive as they are in everyday uses, like encryption and security, randomly generated digital numbers are seldom truly random. So far, only bulky, relatively slow quantum [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/quantum-random-number-generator-sets-benchmark-for-size-performance/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">172705</post-id>	</item>
		<item>
		<title>Viruses as communication molecules</title>
		<link>https://bioengineer.org/viruses-as-communication-molecules/</link>
					<comments>https://bioengineer.org/viruses-as-communication-molecules/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 23 Jun 2021 16:51:32 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Environmental Health]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/viruses-as-communication-molecules/</guid>

					<description><![CDATA[How long do virus-laden particles persist in an elevator after a person infected with COVID-19 leaves? And is there a way to detect those particles? A group of electrical engineers and computer scientists at KAUST set out to answer these questions using mathematical fluid dynamics equations. &#8220;We found1 that virus-laden particles can still be detected [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/viruses-as-communication-molecules/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">172329</post-id>	</item>
		<item>
		<title>Predicting the evolution of a pandemic</title>
		<link>https://bioengineer.org/predicting-the-evolution-of-a-pandemic/</link>
					<comments>https://bioengineer.org/predicting-the-evolution-of-a-pandemic/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 15 Jun 2021 15:51:40 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/predicting-the-evolution-of-a-pandemic/</guid>

					<description><![CDATA[The inclusion of biological uncertainty and the latest case data can significantly improve the prediction accuracy of standard epidemiological models of virus transmission, new research led by KAUST and the Kuwait College of Science and Technology (KCST) has shown. Modern mathematical epidemic models have been tested like never before during the COVID-19 pandemic. These models [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/predicting-the-evolution-of-a-pandemic/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">171719</post-id>	</item>
		<item>
		<title>Researchers used smart watches to monitor changes in quality of life during lockdowns</title>
		<link>https://bioengineer.org/researchers-used-smart-watches-to-monitor-changes-in-quality-of-life-during-lockdowns/</link>
					<comments>https://bioengineer.org/researchers-used-smart-watches-to-monitor-changes-in-quality-of-life-during-lockdowns/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 08 Jun 2021 15:34:43 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Biomedical/Environmental/Chemical Engineering]]></category>
		<category><![CDATA[Industrial Engineering/Chemistry]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<category><![CDATA[Multimedia/Networking/Interface Design]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<category><![CDATA[Virology]]></category>
		<guid isPermaLink="false">https://bioengineer.org/researchers-used-smart-watches-to-monitor-changes-in-quality-of-life-during-lockdowns/</guid>

					<description><![CDATA[Data on 20-40 age group reveals: They sleep more, walk less and feel unhappier In a first-of-its-kind study, researchers from Tel Aviv University and the Academic College of Tel Aviv-Yaffo used smart watches and a dedicated app to monitor 169 subjects before and during Israel&#8217;s second COVID-19 lockdown (October 2020). The watches and app provided [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/researchers-used-smart-watches-to-monitor-changes-in-quality-of-life-during-lockdowns/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">171202</post-id>	</item>
		<item>
		<title>The Mathematical Model of the Mind</title>
		<link>https://bioengineer.org/the-mathematical-model-of-the-mind/</link>
					<comments>https://bioengineer.org/the-mathematical-model-of-the-mind/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 03 Jun 2021 15:56:50 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Biology]]></category>
		<category><![CDATA[Clinical Trials]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<category><![CDATA[neurobiology]]></category>
		<category><![CDATA[Parkinson]]></category>
		<category><![CDATA[Science/Math]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/the-mathematical-model-of-the-mind/</guid>

					<description><![CDATA[&#8216;A must read for anyone interested in theoretical studies of cortical microcircuits&#8217; What is perhaps the most wonderous and fascinating creation of nature, the brain, attracting, on one level or another, over centuries, human curiosity, becomes a welcoming territory to be explored from a fresh new perspective of mathematical and cortical synergies in Prof. Yoram [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/the-mathematical-model-of-the-mind/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">170871</post-id>	</item>
		<item>
		<title>Trust the machine &#8212; it knows what it is doing</title>
		<link>https://bioengineer.org/trust-the-machine-it-knows-what-it-is-doing/</link>
					<comments>https://bioengineer.org/trust-the-machine-it-knows-what-it-is-doing/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 01 Jun 2021 16:30:38 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[Climate Science]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[Robotry/Artificial Intelligence]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/trust-the-machine-it-knows-what-it-is-doing/</guid>

					<description><![CDATA[New theoretical insights provide a physically sound understanding of machine learning-based simplified climate models Machine learning, when used in climate science builds an actual understanding of the climate system, according to a study published in the journal Chaos by Manuel Santos Gutiérrez and Valerio Lucarini, University of Reading, UK, Mickäel Chekroun, the Weizmann Institute, Israel [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/trust-the-machine-it-knows-what-it-is-doing/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">170570</post-id>	</item>
		<item>
		<title>Less is more? New take on machine learning helps us &#8220;scale up&#8221; phase transitions</title>
		<link>https://bioengineer.org/less-is-more-new-take-on-machine-learning-helps-us-scale-up-phase-transitions/</link>
					<comments>https://bioengineer.org/less-is-more-new-take-on-machine-learning-helps-us-scale-up-phase-transitions/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Sat, 29 May 2021 04:14:11 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Atmospheric Science]]></category>
		<category><![CDATA[Chemistry/Physics/Materials Sciences]]></category>
		<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<category><![CDATA[Temperature-Dependent Phenomena]]></category>
		<guid isPermaLink="false">https://bioengineer.org/less-is-more-new-take-on-machine-learning-helps-us-scale-up-phase-transitions/</guid>

					<description><![CDATA[Features of large systems yielded from tiny simulations with super-resolution techniques Tokyo, Japan &#8211; Researchers from Tokyo Metropolitan University have enhanced &#8220;super-resolution&#8221; machine learning techniques to study phase transitions. They identified key features of how large arrays of interacting &#8220;particles&#8221; behave at different temperatures by simulating tiny arrays before using a convolutional neural network to [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/less-is-more-new-take-on-machine-learning-helps-us-scale-up-phase-transitions/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">170497</post-id>	</item>
		<item>
		<title>Mass gatherings during Malaysian election directly and indirectly boosted COVID-19 spread</title>
		<link>https://bioengineer.org/mass-gatherings-during-malaysian-election-directly-and-indirectly-boosted-covid-19-spread/</link>
					<comments>https://bioengineer.org/mass-gatherings-during-malaysian-election-directly-and-indirectly-boosted-covid-19-spread/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 27 May 2021 20:03:32 +0000</pubDate>
				<category><![CDATA[Immunology]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<category><![CDATA[Public Health]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/mass-gatherings-during-malaysian-election-directly-and-indirectly-boosted-covid-19-spread/</guid>

					<description><![CDATA[New computational method could deepen understanding of direct and spill-over effects of gatherings New estimates suggest that mass gatherings during an election in the Malaysian state of Sabah directly caused 70 percent of COVID-19 cases detected in Sabah after the election, and indirectly caused 64.4 percent of cases elsewhere in Malaysia. Jue Tao Lim of [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/mass-gatherings-during-malaysian-election-directly-and-indirectly-boosted-covid-19-spread/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">170391</post-id>	</item>
		<item>
		<title>We know the cost of free choice and locality &#8211; in physics and not only</title>
		<link>https://bioengineer.org/we-know-the-cost-of-free-choice-and-locality-in-physics-and-not-only/</link>
					<comments>https://bioengineer.org/we-know-the-cost-of-free-choice-and-locality-in-physics-and-not-only/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 20 May 2021 14:23:52 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Atomic/Molecular/Particle Physics]]></category>
		<category><![CDATA[Chemistry/Physics/Materials Sciences]]></category>
		<category><![CDATA[Nature]]></category>
		<category><![CDATA[Number Literacy/General Statistics]]></category>
		<category><![CDATA[Particle Physics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/we-know-the-cost-of-free-choice-and-locality-in-physics-and-not-only/</guid>

					<description><![CDATA[Credit: Source: IFJ PAN / Iwona Michniewska Do we have free choice or are our decisions predetermined? Is physical reality local, or does what we do here and now have an immediate influence on events elsewhere? The answers to these questions are sought by physicists in the Bell inequalities. It turns out that free choice [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/we-know-the-cost-of-free-choice-and-locality-in-physics-and-not-only/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">169737</post-id>	</item>
		<item>
		<title>Researchers shed light on the evolution of extremist groups</title>
		<link>https://bioengineer.org/researchers-shed-light-on-the-evolution-of-extremist-groups/</link>
					<comments>https://bioengineer.org/researchers-shed-light-on-the-evolution-of-extremist-groups/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 19 May 2021 09:51:01 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Internet]]></category>
		<category><![CDATA[Language/Linguistics/Speech]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Political Science]]></category>
		<category><![CDATA[Researchers/Scientists/Awards]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Violence/Criminals]]></category>
		<guid isPermaLink="false">https://bioengineer.org/researchers-shed-light-on-the-evolution-of-extremist-groups/</guid>

					<description><![CDATA[Findings suggest new strategies to limit the growth of groups like the Boogaloo and ISIS Credit: Neil Johnson/GW WASHINGTON (May 19, 2021)&#8211;Early online support for the Boogaloos, one of the groups implicated in the January 2021 attack on the United States Capitol, followed the same mathematical pattern as ISIS, despite the stark ideological, geographical and [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/researchers-shed-light-on-the-evolution-of-extremist-groups/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">169587</post-id>	</item>
		<item>
		<title>Stunning simulation of stars being born is most realistic ever</title>
		<link>https://bioengineer.org/stunning-simulation-of-stars-being-born-is-most-realistic-ever/</link>
					<comments>https://bioengineer.org/stunning-simulation-of-stars-being-born-is-most-realistic-ever/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 18 May 2021 13:51:11 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Astrophysics]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Space/Planetary Science]]></category>
		<category><![CDATA[Stars/The Sun]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/stunning-simulation-of-stars-being-born-is-most-realistic-ever/</guid>

					<description><![CDATA[First high-resolution model to simulate an entire gas cloud where stars are born Credit: Northwestern University/UT Austin A team including Northwestern University astrophysicists has developed the most realistic, highest-resolution 3D simulation of star formation to date. The result is a visually stunning, mathematically-driven marvel that allows viewers to float around a colorful gas cloud in [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/stunning-simulation-of-stars-being-born-is-most-realistic-ever/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">169471</post-id>	</item>
		<item>
		<title>Novel circuitry solves a myriad of computationally intensive problems with minimum energy</title>
		<link>https://bioengineer.org/novel-circuitry-solves-a-myriad-of-computationally-intensive-problems-with-minimum-energy/</link>
					<comments>https://bioengineer.org/novel-circuitry-solves-a-myriad-of-computationally-intensive-problems-with-minimum-energy/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 11 May 2021 19:20:06 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Electrical Engineering/Electronics]]></category>
		<category><![CDATA[Nanotechnology/Micromachines]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<category><![CDATA[Theory/Design]]></category>
		<guid isPermaLink="false">https://bioengineer.org/novel-circuitry-solves-a-myriad-of-computationally-intensive-problems-with-minimum-energy/</guid>

					<description><![CDATA[Credit: NIST From the branching pattern of leaf veins to the variety of interconnected pathways that spread the coronavirus, nature thrives on networks &#8212; grids that link the different components of complex systems. Networks underlie such real-life problems as determining the most efficient route for a trucking company to deliver life-saving drugs and calculating the [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/novel-circuitry-solves-a-myriad-of-computationally-intensive-problems-with-minimum-energy/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">168967</post-id>	</item>
	</channel>
</rss>
