News
DeepCube at the Copernicus Emergency Management Service (CEMS) Assembly 2022
October 12, 2022
DeepCube Coordinator Ioannis Papoutsis will present Deep Learning for Fire Danger Forecasting at the CEMS Assembly 2022
DeepCube at EU Space Week 2022
October 10, 2022
DeepCube at the joint event “Supporting Copernicus through Big Data and Artificial Intelligence” of the EU Space Week 2022.
4th DeepCube Plenary Meeting in Athens
July 10, 2022
The DeepCube partners had their first physical plenary meeting in Athens, Greece!
DeepCube at ESA Living Planet Symposium 2022
May 23, 2022
DeepCube has a strong presence in this year’s Living Planet Symposium, taking place 23-27 May in Bonn, Germany
New DeepCube publication at NeurIPS 2021
December 8, 2021
“Deep Learning Methods for Daily Wildfire Danger Forecasting” accepted to the workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
DeepCube at the Copernicus Emergency Management Service Week 2021
October 25, 2021
The European Forest Fire Information System invited Dr. Papoutsis of NOA-IAASARS to present first DeepCube results on AI technologies for climate-related disasters forecasting.
DeepCube at ESA Phi-Week 2021
October 8, 2021
DeepCube participates in ESA Phi-Week 2021 with an e-poster!
The University of Valencia and Facebook Data for Good join forces in DeepCube!
September 22, 2021
The Image and Signal Processing (ISP) group of the University of Valencia and Facebook’s Data for Good team announce their collaboration in the DeepCube project.
1st DeepCube scientific publication
August 27, 2021
The first DeepCube scientific paper "Self-Supervised Contrastive Learning for Volcanic Unrest Detection" is published in IEEE Geoscience and Remote Sensing Letters.
2nd DeepCube plenary meeting
June 21, 2021
The National Observatory of Athens organized a two-day virtual event on the 16th and 17th of June, gathering all project partners to discuss the results of the first semester's research and to plan the activities of the upcoming 6 months.