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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:20241028T120000
DTEND;TZID=Europe/Berlin:20241028T130000
DTSTAMP:20240924T122808Z
CREATED:20240924
LAST-MODIFIED:20241028
PRIORITY:5
SEQUENCE:24
TRANSP:OPAQUE
SUMMARY:ICAMDS24: Control and Machine Learning by E. Zuazua
DESCRIPTION:On October 28, 2024 Prof. Enrique Zuazua will talk on “Control and Machine Learning” at the IC-AMDS24, “International Conference Applied Mathematics and Data Science” organized (hybrid mode) on October 28 – 29, 2024 by the Department of Mathematics, Little Flower College, Guruvayoor and the Advanced Mathematical Innovation Center for Artificial Intelligence and Scientific Computing, Kerala (India).\nThis is a groundbreaking event that converges cutting-edge artificial intelligence with numerical methods to tackle complex problems in applied mathematics. Researchers and experts from around the world gather to share insights, innovative algorithms, and computational strategies, fostering collaboration and pushing the boundaries of numerical solutions for these critical mathematical models. This conference serves as a platform for exchanging ideas and exploring the latest applied mathematics approaches to solve real-world problems.\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. The 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. In 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\nMon.-Tue. October 28 – 29, 2024 at 12:00H Berlin time (16:30H Indian standard time)\nWHERE\nOn-site / Online\nLittle Flower College\nGuruvayoor, Kerala. India\nRegistration\nLast date of Registration : September 30, 2024\nLast date of Abstract Submission: October 10, 2024\nAcceptance of Abstract: October 15, 2024\nRegistration form link\nProgram\nOpening ceremony schedule || Brochure of this event\n\nWho should attend\n-Researchers and Scientists: Stay updated on the latest research trends and breakthroughs in applied mathematics and data science.\n-Academics and Students: Explore educational and career opportunities in these dynamic fields.\n-Data Scientists and AI Practitioners: Discover practical applications of Mathematics.\n-Engineers and Industry Professionals: Learn how AI is revolutionizing industries and decision-making.\n-Anyone Interested in Applied Mathematics: Enthusiasts and learners keen to explore the intersection of applied mathematics and data science are welcome!\nSee more at the official page of the event.\n
URL:https://dcn.nat.fau.eu/events/icamds24/
CATEGORIES:EZuazua,Seminar/Talk,Workshop
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/ICAMDS24_EZuazua_28oct2024.png
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