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X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
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DTSTART;TZID=Europe/Berlin:20241210T091500
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CREATED:20240912
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TRANSP:OPAQUE
SUMMARY:MathConnect 2024
DESCRIPTION:On December 10, 2024 Prof. Enrique Zuazua will talk as a plenary speaker on “Control and Machine Learning” at the MathConnect 2024 conference organized at the King Fahd University of Petroleum and Minerals, Dhahran (Saudi Arabia).\nMathConnect 2024 is a state-of-the-art conference aiming to bring together distinguished mathematicians from around the globe, fostering discussions on the latest advancements across various mathematical domains. With a keen focus on Graphs and Combinatorics, Fixed Point Theory, Analytical and Modeling, Stochastic Processes, as well as the rapidly growing fields of Data Science and Artificial Intelligence, the conference promises to be intellectually stimulating and enriching.\nIn the field of Graphs and Combinatorics, participants are expected to attend insightful discussions on combinatorial structures, algorithms, and graph theory applications. These discussions will underscore the significance of these concepts in addressing real-world challenges and problem-solving.\nAbstract. Systems control, or cybernetics—a term first coined by Ampère and later popularized by Norbert Wiener—refers to the science of control and communication in animals and machines. The pursuit of this field dates back to antiquity, driven by the desire to create machines that autonomously perform human tasks, thereby enhancing freedom and efficiency.\nThe objectives of control systems closely parallel those of modern Artificial Intelligence (AI), illustrating both the profound unity within Mathematics and its extraordinary capacity to describe natural phenomena and drive technological innovation.\nIn this lecture, we will explore the connections between these mathematical disciplines and their broader implications. We will also discuss our recent work addressing two fundamental questions: Why does Machine Learning perform so effectively? And how can data-driven insights be integrated into the classical applied mathematics framework, particularly in the context of Partial Differential Equations (PDE) and numerical methods?\nWHEN\nThu. December 10, 2024 at 09:15H Berlin time (11:15H local time)\nRegistration\nEarly bird Registration: July 01- July 31, 2024\nRegistration is open until September 30, 2024\nRegistration form link\nAbstract submission deadline: August 30, 2024\nFull-Length paper submissions: October 31, 2024  \nWHERE\nBuilding 70, Academic Belt Road\nKFUPM, Dhahran, KSA\nDhahran, Saudi Arabia\nAgenda of the MathConnect 2024 || Program of the MathConnect 2024\nSee more at the official page of the event.\n
URL:https://dcn.nat.fau.eu/events/mathconnect-2024/
CATEGORIES:EZuazua,Seminar/Talk,Workshop
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/mathConnect2024_EnriqueZuazua_10dec2024.png
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