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	<title>Akademy Enrique Zuazua</title>
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		<title>MLPDES26, Machine Learning and PDEs Workshop (2026)</title>
		<link>https://dcn.nat.fau.eu/mlpdes26/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Tue, 16 Jun 2026 11:13:22 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
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					<description><![CDATA[Date: Mon.-Wed. June 22 &#8211; 24, 2026 Event: MLPDES26, Machine Learning and PDEs Workshop (2026) Host: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany) Event type: Hybrid (On-site / Online) #MLPDES26 Book of Abstracts *Recordings available at: https://mod.fau.eu/mlpdes26/ This Spring, our FAU MoD, Research Center for Mathematics of Data is [&#8230;]]]></description>
		
		
		
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		<title>Course: Introduction to Control and Machine Learning</title>
		<link>https://dcn.nat.fau.eu/course-introduction-to-control-and-machine-learning/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Tue, 10 Mar 2026 22:55:33 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[Akademy Martin Hernandez]]></category>
		<category><![CDATA[Akademy Yongcun Song]]></category>
		<category><![CDATA[Akademy Zhenping Ji]]></category>
		<category><![CDATA[Akademy Ziqi Wang]]></category>
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					<description><![CDATA[Introduction to Control and Machine Learning Master Course – FAU, Friedrich-Alexander-Universität Erlangen–Nürnberg This course explores the deep connections between control theory, dynamical systems, and modern machine learning, highlighting how mathematical tools developed for the analysis of differential equations can help understand and design modern AI systems. Course Overview The course introduces the mathematical foundations of [&#8230;]]]></description>
		
		
		
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		<title>Benasque XI Workshop-Summer School 2026: Partial differential equations, optimal design and numerics</title>
		<link>https://dcn.nat.fau.eu/benasque-xi-2026/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Tue, 13 Jan 2026 12:13:55 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
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					<description><![CDATA[Event: Benasque XI Workshop-Summer School 2026: XI Partial Differential Equations, Optimization, Numerics, and Machine Learning Date: Sun.-Fri. August 23 &#8211; September 04, 2026 Event type: On-site (Benasque) Registration: https://benasque.org/2026pde/cgi-bin/appl.pl Deadline for applications: Wed. June 10, 2026 Next Summer, on August 23 &#8211; September 04, 2026 will be held the XI Partial Differential Equations, Optimization, Numerics, [&#8230;]]]></description>
		
		
		
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		<title>A workshop in Speinshart: Scientific center for AI and SuperTech</title>
		<link>https://dcn.nat.fau.eu/speinshart-workshop-nov2025/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Fri, 28 Nov 2025 11:19:24 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[EZuazua]]></category>
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					<description><![CDATA[Event: A workshop in Speinshart: Scientific center for AI and SuperTech Date: Tue.-Sun. November 11 &#8211; 16, 2025 Event type: On-site From November 11 – 16, 2025, Kloster Speinshart hosted a workshop bringing together researchers, students, and industry professionals to explore the intersections of mathematics, control theory, machine learning, and industrial innovation. The serene monastery [&#8230;]]]></description>
		
		
		
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		<title>Course: Introduction to Optimal Control and Machine Learning</title>
		<link>https://dcn.nat.fau.eu/course-introduction-to-optimal-control-and-machine-learning/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 17 Oct 2024 11:13:51 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[EZuazua]]></category>
		<category><![CDATA[EZuazua Akademy]]></category>
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					<description><![CDATA[On October 21-23, 2024 Prof. Enrique Zuazua will give an online course on Introduction to Optimal Control and Machine Learning organized by IMUS, Institute of Mathematics of the University of Seville. VIDEO / RECORDING https://www.youtube.com/watch?v=RihnGJnbqyw&#038;list=PLl-lD4Gje_wDkw6hV7hHBEQ0oZY_3YFl8 In this series of lectures, we will introduce both Control Theory and Machine Learning (ML), one of the most vigorous [&#8230;]]]></description>
		
		
		
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		<title>100th Session. Seminar in PDEs and Applied Mathematics</title>
		<link>https://dcn.nat.fau.eu/100th-seminar-in-pdes-and-applied-mathematics/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Mon, 07 Oct 2024 17:13:52 +0000</pubDate>
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					<description><![CDATA[Date: October 7, 2024 Event: 100th Session. Seminar in PDEs and Applied Mathematics On October 7th, Prof. Enrique Zuazua did talk as a plenary speaker of the Seminar in PDEs and Applied Mathematics &#8211; &#8220;Celebration of Session 100th&#8221; organized (online) on October 7-10, 2024. Abstract. Systems control, or cybernetics, a term first coined by Ampère [&#8230;]]]></description>
		
		
		
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		<title>Course: Control and Machine Learning by E. Zuazua</title>
		<link>https://dcn.nat.fau.eu/course-control-machine-learning-zuazua/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Wed, 07 Aug 2024 14:46:41 +0000</pubDate>
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					<description><![CDATA[Date: July 2024 Course: Control and Machine Learning Lecturer: Prof. Enrique Zuazua Recordings S01: Introduction to Control Theory S02: Introduction: Calculus of Variations, Controllability and Optimal Design S03: Introduction: Optimization and Perpectives S04: Finite-dimensional Control Systems (1) S05: Finite-dimensional Control Systems (2) and Gradient-descent methods (1) S06: Gradient-descent methods (2), Duality algorithms, and Controllability (1) [&#8230;]]]></description>
		
		
		
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		<title>ODL: Introduction to Optimal Control and Machine Learning</title>
		<link>https://dcn.nat.fau.eu/odl-2024/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Mon, 18 Mar 2024 18:13:55 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
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					<description><![CDATA[On March 19 &#8211; 21, 2024, Prof. Enrique Zuazua will give a lecture Series on Introduction to Optimal Control and Machine Learning at the 5th Edition of the Open Doctoral Lecture Series organized by the UM6P&#8217;s VANGUARD Center in collaboration with Université Cadi AYYAD, University Côte d’Azur and GE2MI. Abstract. In this series of lectures, [&#8230;]]]></description>
		
		
		
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		<title>RACP2024: Recent advances in Control Theory of PDE systems</title>
		<link>https://dcn.nat.fau.eu/racp2024/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 15 Feb 2024 22:45:08 +0000</pubDate>
				<category><![CDATA[2024-resources]]></category>
		<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
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					<description><![CDATA[From February 12 &#8211; 15, 2024 Prof. Enrique Zuazua will talk on Inverse design for conservation laws and Hamilton-Jacobi equations at the &#8220;Recent advances in Control Theory of PDE systems&#8221; program organized on February 12-23, 2024 by Shirshendu Chowdhury (IISER Kolkata, India), Debayan Maity (TIFR CAM, India) and Debanjana Mitra (IIT Bombay, India). This program [&#8230;]]]></description>
		
		
		
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		<title>CML: Control, Machine Learning and Numerics</title>
		<link>https://dcn.nat.fau.eu/course-cml-control-machine-learning-and-numerics-ss-2022-2023/</link>
		
		<dc:creator><![CDATA[darlis.dcn]]></dc:creator>
		<pubDate>Thu, 13 Apr 2023 15:49:40 +0000</pubDate>
				<category><![CDATA[Akademy]]></category>
		<category><![CDATA[Akademy Enrique Zuazua]]></category>
		<category><![CDATA[Akademy Yongcun Song]]></category>
		<category><![CDATA[EZuazua]]></category>
		<category><![CDATA[EZuazua Akademy]]></category>
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					<description><![CDATA[CML: Control, Machine Learning and Numerics Professors: Enrique Zuazua, Yongcun Song Period: Summer Semester 2022/2023 Date: April to July 2023 ECTS: 10 This course at FAU StudON: https://www.studon.fau.de/studon/goto.php?target=crs_5073175]]></description>
		
		
		
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