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CATEGORIES:Cambridge Ellis Unit
SUMMARY:Machine Learning and Finite Elements - Prof. Mark
Girolami
DTSTART;TZID=Europe/London:20210730T160000
DTEND;TZID=Europe/London:20210730T170000
UID:TALK161413AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/161413
DESCRIPTION:The Cambridge ELLIS Unit has started a Seminar Ser
ies that will include talks by leading researchers
in the area of machine learning and AI. Our first
speaker will be Prof. Mark Girolami. Details of h
is talk can be found below. \n\nTitle: “Machine Le
arning and Finite Elements’”\n\nAbstract: The fini
te element method (FEM) is one of the great triump
hs of applied mathematics\, numerical analysis and
software development. Recent developments in sens
or and signalling technologies enable the phenomen
ological study of systems. The connection between
sensor data and FEM is restricted to solving inver
se problems placing unwarranted faith in the fidel
ity of the mathematical description of the system.
If one concedes mis-specification between generat
ive reality and the FEM then a framework to system
atically characterise this uncertainty is required
. This talk will present a statistical constructio
n of the FEM which systematically blends mathemati
cal description with observations.
LOCATION:https://eng-cam.zoom.us/j/81203401046?pwd=c0hTQTB1
MHpUbjBTZWpiVTlmaFFCdz09
CONTACT:Kimberly Cole
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