BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.33.0//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-e2ae9d605614017e3ae77dcbc1aaee23@dcn.nat.fau.eu
DTSTART;TZID=Europe/Berlin:20241007T132000
DTEND;TZID=Europe/Berlin:20241007T140000
DTSTAMP:20240917T223153Z
CREATED:20240917
LAST-MODIFIED:20241009
PRIORITY:5
SEQUENCE:2
TRANSP:OPAQUE
SUMMARY:100th Session. Seminar in PDEs and Applied Mathematics
DESCRIPTION:On October 7, 2024 Prof.  Enrique Zuazua will talk at the Seminar in PDEs and Applied Mathematics – “Celebration of Session 100th” organized (online) on October 7-10, 2024.\nAbstract. Systems control, or cybernetics, a term first coined by Amp`ere 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.\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?\nSee the program of the event\nWHEN\nMon. October 7, 2024 at 13:20H (08:20H UTC-3)\nWHERE\nOnline: Zoom\nCheck the registration form at https://edpemaplicada.uff.br/seminars/\n \nOrganizers\nCoordinator: Juan Limaco – UFF – Brazil\nAnna Doubova. U.Sevilla-España\nLuz de Teresa. UNAM-Mexico\nMauro Rincon. UFRJ – Brazil\nDiego Souza. U Sevilla – España;\nFelipe Chaves. UFPB-Brazil\nRoberto Capistrano. UFPE – Brazil.\nMauricio Sepulveda. UdeC – Chile;\nRoxana Lopez. UNMSM – Peru;\nSandra Malta. LNCC – Brazil\nRui Almeida. UBI – Portugal\n \nSee more at the official page of the event: https://edpemaplicada.uff.br/seminars/\n\n
URL:https://dcn.nat.fau.eu/events/seminar-in-pdes-and-applied-mathematics-oct2024/
CATEGORIES:EZuazua,Seminar/Talk,Workshop
ATTACH;FMTTYPE=image/png:https://dcn.nat.fau.eu/wp-content/uploads/100PDESeminar_EZuazua_08oct2024.png
END:VEVENT
END:VCALENDAR