BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Destination Earth - ECPv6.5.1.6//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Destination Earth
X-ORIGINAL-URL:https://destination-earth.eu
X-WR-CALDESC:Events for Destination Earth
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Rome
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260413
DTEND;VALUE=DATE:20260418
DTSTAMP:20260405T223927
CREATED:20260113T190755Z
LAST-MODIFIED:20260113T191806Z
UID:22216-1776038400-1776470399@destination-earth.eu
SUMMARY:5th ECMWF-ESA Machine Learning Workshop
DESCRIPTION:ECMWF and ESA are organising the fifth workshop on Machine Learning for Earth Observation and Prediction\, which will be held from 13-17 April 2026 in Bologna\, Italy. \nMachine Learning (ML) is increasingly being used to observe and predict how the Earth system behaves. The scale\, complexity and sophistication of these ML technologies have also increased considerably over the last few years. \nThe in-person meeting will provide an up-to-date snapshot of the state of the art in this rapidly evolving field. It will also be a forum of discussion and interaction among scientists and practitioners about the current opportunities and challenges presented by the use of ML technologies for Earth system observation and prediction. \nThe workshop will discuss hybrid ML-physics based systems and end-to-end ML approaches for data assimilation and weather and climate prediction. It will explore new ways to apply ML to Earth system observations and examine how high performance and emerging computing technologies can accelerate these applications. Participants will also look at the role of ML in building digital twins of the Earth system and share strategies to make these models more accurate and efficient. \nRegistration for in person participation closes on 31 January. For submission details or to register for the event\, please visit the official website here: \n\nVisit event website
URL:https://destination-earth.eu/event/5th-ecmwf-esa-machine-learning-workshop/
LOCATION:ECMWF Bologna\, Tecnopolo di Bologna\, Via Stalingrado 84/3\, Bologna\, 40128\, Italy
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://destination-earth.eu/wp-content/uploads/2026/01/ECMWF-ESA-workshop-2025-graphic.jpg
END:VEVENT
END:VCALENDAR