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SUMMARY:NextGen Synergy: Control Theory and Machine Learning
DTSTART:20260427T060000Z
DTEND:20260430T180000Z
DTSTAMP:20260415T012200Z
UID:indico-event-1@indico.pef.czu.cz
CONTACT:klepkova@utia.cas.cz
DESCRIPTION:Speakers: Tatiana V. Guy\n\nThe inaugural conference of COST 
 Action CA24136 NextGen Synergy: Control Theory & Machine Learning  aims t
 o bridge the gap between Control Theory (CT) and Machine Learning (ML)\, t
 wo dynamic fields that are increasingly intersecting. A broad array of top
 ics will be discussed\, including but not limited to the following:\n\nStr
 engthening control-theoretical foundations\nLeveraging machine learning fo
 r control theory challenges\nDeveloping hybrid and data-driven models\nTra
 nslating theory into practical solutions\n\nThe conference aims to cultiva
 te interdisciplinary collaboration among experts in mathematical analysis\
 , numerical mathematics\, control engineering\, computer science\, and dat
 a science. By integrating diverse knowledge\, it will stimulate cross-sect
 or dialogue and break down communication barriers.\nThe conference has spe
 cial focus on early-career researchers (PhD students and postdoctoral fell
 ows).Conference webpage:  https://coml26.utia.cas.cz/\n\nhttps://indico.p
 ef.czu.cz/event/1/
IMAGE;VALUE=URI:https://indico.pef.czu.cz/event/1/logo-2526957363.png
LOCATION:Faculty of Economics and Management\, Czech University of Life Sc
 iences
URL:https://indico.pef.czu.cz/event/1/
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