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X-ORIGINAL-URL:https://embed2scale.eu
X-WR-CALDESC:Events for Embed2Scale
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TZID:UTC
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260505T080000
DTEND;TZID=UTC:20260508T170000
DTSTAMP:20260626T123703Z
CREATED:20260417T154108Z
LAST-MODIFIED:20260626T123703Z
UID:10000033-1777968000-1778259600@embed2scale.eu
SUMMARY:EGU 2026
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nAGU25\n\n\n\n\n\n	\n		\n			December 15\, 2025		\n\n		\n									\n					–				\n			\n							\n					December 19\, 2025				\n\n				\n			\n						 \n\n\n\n\nCEST \n\n\n\n\n\n\n\n\nEmbed2Scale partners Damien Robert and Jan Dirk Wegner (UZH) present their work at EGU2026\, showcasing the use case “Forest Biomass Disturbance Monitoring.” \n\n\n\nRead More
URL:https://embed2scale.eu/event/egu-2026/
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://embed2scale.eu/wp-content/uploads/2026/04/egu-26.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260519T080000
DTEND;TZID=UTC:20260522T170000
DTSTAMP:20260626T123542Z
CREATED:20260417T154436Z
LAST-MODIFIED:20260626T123542Z
UID:10000034-1779177600-1779469200@embed2scale.eu
SUMMARY:2nd ESA-NASA Workshop on AI Foundation Model for Earth Observation
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nAGU25\n\n\n\n\n\n	\n		\n			December 15\, 2025		\n\n		\n									\n					–				\n			\n							\n					December 19\, 2025				\n\n				\n			\n						 \n\n\n\n\nGMT-5 \n\n\n\n\n\n\n\n\nAfter a successful first edition in 2025\, Embed2Scale took part again in the second ESA/NASA EO Foundation Models Workshop. The event brings together the Earth observation and AI foundation model communities to advance scalable\, trustworthy\, and operational AI systems for EO\, with this year’s programme focusing on benchmarking\, multimodal modelling\, efficient adaptation\, and real‑world deployment.Romeo Kienzler and Isabelle Wittmann from IBM Research represented Embed2Scale in Huntsville\, Alabama. They contributed with a half‑day workshop\, on May 22\, titled “Building Scalable AI EO Workflows: TerraTorch Embedding Workflows & TerraTorch Iterate for Zero‑Invasive HPO and NAS Hands‑On Session.” \n\n\n\nRead More
URL:https://embed2scale.eu/event/2nd-esa-nasa-workshop-on-ai-foundation-model-for-earth-observation/
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://embed2scale.eu/wp-content/uploads/2026/04/ESA-NASA.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260603T080000
DTEND;TZID=UTC:20260607T170000
DTSTAMP:20260626T125544Z
CREATED:20260417T154716Z
LAST-MODIFIED:20260626T125544Z
UID:10000035-1780473600-1780851600@embed2scale.eu
SUMMARY:CVPR 2026
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nAGU25\n\n\n\n\n\n	\n		\n			December 15\, 2025		\n\n		\n									\n					–				\n			\n							\n					December 19\, 2025				\n\n				\n			\n						 \n\n\n\n\nGMT-6 \n\n\n\n\n\n\n\n\nEarly June 2026\, Rikard Vinge (DLR) and Luis Gilch (IBM) represented the Embed2Scale consortium at CVPR EarthVision in Denver\, USA. This year\, three papers from and supported by Embed2Scale partners were accepted.The event brings together the Earth observation\, computer vision\, and machine learning communities to advance scalable and trustworthy analysis of large‑scale geospatial data for environmental and societal applications. \n\n\n\nRead More
URL:https://embed2scale.eu/event/cvpr-2026/
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://embed2scale.eu/wp-content/uploads/2026/04/CVPR-2026.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260609T080000
DTEND;TZID=UTC:20260612T170000
DTSTAMP:20260626T122902Z
CREATED:20260428T133918Z
LAST-MODIFIED:20260626T122902Z
UID:10000036-1780992000-1781283600@embed2scale.eu
SUMMARY:High Performance and Disruptive Computing in Remote Sensing School 2026
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nAGU25\n\n\n\n\n\n	\n		\n			December 15\, 2025		\n\n		\n									\n					–				\n			\n							\n					December 19\, 2025				\n\n				\n			\n						 \n\n\n\n\nCEST \n\n\n\n\n\n\n\n\nThe summer school is organised by the High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group. HDCRS is part of the IEEE Geoscience and Remote Sensing Society (GRSS)\, within the Earth Science Informatics (ESI) Technical Committee.The school is an opportunity to connect with students\, young professionals\, and senior researchers working in remote sensing and in interdisciplinary areas involving high‑performance and distributed computing\, disruptive computing approaches\, and parallel programming models using specialised hardware.Project partner FZJ presented the project\, with a focus on the use case “Crop Stress and Yield Early Detection”\, and provided hands‑on demonstrations. \n\n\n\nDiscover more
URL:https://embed2scale.eu/event/high-performance-and-disruptive-computing-in-remote-sensing-school-2026/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://embed2scale.eu/wp-content/uploads/2026/04/Screenshot-2026-04-28-153638.png
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260809T080000
DTEND;TZID=UTC:20260814T170000
DTSTAMP:20260729T102056Z
CREATED:20260211T085312Z
LAST-MODIFIED:20260729T102056Z
UID:10000021-1786262400-1786726800@embed2scale.eu
SUMMARY:IGARSS 2026
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nAGU25\n\n\n\n\n\n\n\n\nOn August 9\, during IGARSS 2026\, Embed2Scale experts will deliver an introduction and hands‑on session on NeuCo‑Bench (https://github.com/embed2scale/NeuCo-Bench/tree/main)\, a benchmark framework that emerged from the 2025 CVPR EARTHVISION workshop (https://www.grss-ieee.org/events/earthvision-2025/?tab=challenge). NeuCo‑Bench is designed as an extendable\, community‑driven framework for evaluating neural compression and representation learning methods in the context of Earth Observation (EO)\, without requiring heavy compute resources. The growing volume and complexity of EO data calls for standardized\, scalable\, and reproducible tools that can assess the quality and utility of learned representations across diverse downstream tasks. NeuCo‑Bench and its associated Earth2Vec community (https://earth2vec.github.io)\, which grew out of the Horizon Europe project Embed2Scale\, address this need by offering a modular evaluation pipeline built around fixed‑size\, task‑agnostic embeddings. This enables researchers and practitioners to consistently compare neural compression methods. \n\n\n\nRead more
URL:https://embed2scale.eu/event/igarss-2026/
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://embed2scale.eu/wp-content/uploads/2026/02/IGARSS-2026.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260914T080000
DTEND;TZID=UTC:20260917T170000
DTSTAMP:20260428T134843Z
CREATED:20260428T134841Z
LAST-MODIFIED:20260428T134843Z
UID:10000037-1789372800-1789664400@embed2scale.eu
SUMMARY:SPIE Security + Defence
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nAGU25\n\n\n\n\n\n	\n		\n			December 15\, 2025		\n\n		\n									\n					–				\n			\n							\n					December 19\, 2025				\n\n				\n			\n						 \n\n\n\n\nCEST \n\n\n\n\n\n\n\n\nSPIE Security + Defence is the leading international conference for engineers and scientists involved in the latest developments in sensing\, data and signal analysis\, optronics\, quantum science\, optical technologies\, and funding programmes. \n\n\n\nRead More
URL:https://embed2scale.eu/event/spie-security-defence/
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://embed2scale.eu/wp-content/uploads/2026/04/1000x600-ESI24-Security-Defence-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20261110T100000
DTEND;TZID=UTC:20261110T110000
DTSTAMP:20260727T133749Z
CREATED:20260724T095428Z
LAST-MODIFIED:20260727T133749Z
UID:10000040-1794304800-1794308400@embed2scale.eu
SUMMARY:Enhancing maritime domain awareness using AI and embeddings
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nAGU25\n\n\n\n\n\n\n\nCET \n\n\n\n\n\n\n\n\nThe webinar\, organised by SatCen\, showcases how the use of AI and latent spaces with Earth Observation (EO) data could improve the current practices of Maritime Domain Awareness (MDA). The study introduces a methodology that\, instead of detecting vessels using original Sentinel-1 and -2 imagery\, uses highly compressed embeddings derived from TerraMind\, a Geospatial Foundational Model (GFM) developed by IBM and ESA. Relying on a dataset of 100\,000 balanced embeddings\, this work demonstrates that critical MDA tasks can be performed using embeddings that are up to 100x smaller than the original data\, with an accuracy aligned to the one obtained with original images. The study will show the application of the methodology  on a large scale area\, represented by the Mediterranean Sea.  The webinar will collect feedback from the audience\, in order to foster discussions on potential applications\, align solutions with user needs\, and encourage the adoption of the pilot’s outcomes to address real-world scenarios. \n\n\n\nRead More
URL:https://embed2scale.eu/event/enhancing-maritime-domain-awareness-using-ai-and-embeddings/
CATEGORIES:Event,Maritime Awareness UC Event
ATTACH;FMTTYPE=image/jpeg:https://embed2scale.eu/wp-content/uploads/2026/07/Enhancing-Maritime-Domain-Awareness-using-AI-and-embeddings-scaled.jpg
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