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SUMMARY:ECMWF–ESA Workshop on Machine Learning for Earth Observation and
  Prediction
DTSTART:20221114T090000Z
DTEND:20221117T170000Z
DTSTAMP:20260416T050500Z
UID:indico-event-304@events.ecmwf.int
CONTACT:events@ecmwf.int
DESCRIPTION:\n\nWorkshop motivation and description\n\nThe use of Machine 
 Learning/Deep Learning (ML/DL) techniques is becoming widespread in a larg
 e and ever-growing number of application areas in Earth System Observation
  and Prediction (ESOP). Additionally\, the scale\, complexity and sophisti
 cation of the ML/DL technologies applied in ESOP has also increased consid
 erably over the last few years\, reflecting the growing uptake of ML/DL id
 eas in the ESOP communities and benefiting from increased interest of ML/D
 L domain scientists and of large commercial players. As a result\, ML/DL 
 tools are increasingly integrated in ESOP applications and in some areas t
 hey show promise of substituting traditional methodologies.\n\nThe third e
 dition of the ECMWF–ESA Workshop on Machine Learning for Earth Observat
 ion and Prediction aimed to provide an up-to-date snapshot of the state o
 f the art in this rapidly evolving field and to facilitate discussion amon
 g scientists and practitioners about the current opportunities and challen
 ges in the use of ML/DL technologies for ESOP.        \n\nThematic 
 areas\n\nThematic areas that were covered in this workshop include:\n1. Ma
 chine Learning for Earth Observations\n2. Hybrid Machine Learning - Data A
 ssimilation\n3. Machine Learning for Model emulation and Model discovery\n
 4. Machine Learning for user-oriented Earth Science applications\n5. Machi
 ne learning at the edge and high-performance computing\n\nhttps://events.e
 cmwf.int/event/304/
LOCATION:ECMWF
URL:https://events.ecmwf.int/event/304/
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