BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.32.0//EN
X-ORIGINAL-URL:https://dcn.nat.fau.eu/
X-WR-CALNAME:
X-WR-CALDESC:FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics -Alexander von Humboldt Professorship
X-WR-TIMEZONE:Europe/Berlin
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T030000
RRULE:FREQ=YEARLY;BYMONTH=03;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=4SU
END:STANDARD
END:VTIMEZONE
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-d04853731ce0790af8fbd9de5c37c8c1@dcn.nat.fau.eu
DTSTART;TZID=Europe/Berlin:20250715T093000
DTEND;TZID=Europe/Berlin:20250715T103000
DTSTAMP:20250716T211932Z
CREATED:20250716
LAST-MODIFIED:20250716
PRIORITY:5
SEQUENCE:8
TRANSP:OPAQUE
SUMMARY:ICBS2025: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning by E. Zuazua
DESCRIPTION:Event: ICBS2025, International Congress of Basic Science 2025\nDate: Tue. July 15, 2025 at 15:30H (local time)\nTalk: PDEs Meet Machine Learning: Integrating Numerics, Control, and Machine Learning\nSpeaker: Prof. Enrique Zuazua, FAU – Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\nSlides\nAbstract. Partial Differential Equations (PDEs) form the cornerstone of mathematical modeling in mechanics and the natural sciences, driving advances in analysis, numerical methods, and applied mathematics. Today, the rise of Machine Learning (ML) and Artificial Intelligence (AI) presents transformative opportunities—and challenges—for classical PDE methodologies. Can ML enhance PDE techniques without sacrificing mathematical rigor? Can we develop hybrid computational frameworks that leverage data-driven approaches while maintaining the reliability of traditional methods? This lecture explores these questions through an interdisciplinary lens, bridging PDE theory, control, and ML. We examine the intrinsic connections between representation, optimization, and control theory—rooted in cybernetics (from Ampère to Wiener) and historically motivated by the quest to design intelligent machines. Interestingly, the goals of control theory align closely with those of modern AI, emphasizing mathematics’ unifying power in modeling and innovation. We discuss recent work addressing two key challenges: Why does ML generalize so effectively? and How can data-driven insights be rigorously integrated into classical applied mathematics, particularly for PDEs and numerical methods? This exploration is shaping a new paradigm of PDE+D(ata), to forge the next generation of computational tools.\nWHEN\nTue. July 15, 2025 at 09:00H (local time)\nSee schedule\nWHERE\nOn-site:\nBIMSA, Beijing Institute of Mathematical Sciences and Applications\nNo. 544, Hefangkou Village Huaibei Town\nHuairou District Beijing 101408 \nOnline (Live-YouTube):\nhttps://www.youtube.com/live/UbVchOrC5Ho\nAbout ICBS2025\nThe #ICBS2025, International Congress of Basic Science 2025 is an annual event that brings together leading experts from all around to celebrate basic sciences – Mathematics, Physics and Information Science and Engineering organized in Beijing by the Beijing Institute of Mathematical Sciences and Applications (BIMSA) on July 13-25, 2025.\nThe program spans 13 days and will feature hundreds of lectures, satellite meetings and engaging exchange events. Numerous academicians from China, the United States, and European nations, including Nobel laureate, Fields Medalists, Turing Medal winners, and distinguished scholars.\n_\nSee more:\nOfficial page of the event: https://www.icbs.cn/\nThis event at BIMSA\nThis event at Tsinghua University\n
URL:https://dcn.nat.fau.eu/events/icbs2025/
CATEGORIES:EZuazua,Seminar/Talk,Workshop
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/icbs2025_EZuazua_15jul2025_img.png
END:VEVENT
END:VCALENDAR