The SWIFTT platform uses Copernicus Sentinel satellite data and machine learning models to identify tree health changes, detect anomalies, and predict threats like spruce bark beetle outbreaks and wildfires. Foresters can access timely alerts, prioritize inspections, and coordinate clearing of dead wood to protect forests.
The SWIFTT project presents a hybrid seminar to showcase its platform that helps foresters detect and prevent insect outbreaks, analyse windthrow and fire damage. The event features live demos and presentations from the project team, highlighting the platform's benefits for sustainable forest management.
The EQUALITY project developed novel quantum approaches to representing and optimising quantum circuits with regard to hardware limitations. The consortium also achieved notable scientific advances aimed at the efficient utilisation of quantum resources.
The SWIFTT project will explore practical and technical challenges of using AI and satellite data to monitor bark beetle outbreaks. Forest professionals, researchers, and remote sensing experts will discuss the interplay between remote sensing, machine learning, and traditional forestry knowledge.
The EQUALITY project is developing advanced quantum computer algorithms for strategic industrial problems in areas like energy storage and aerodynamics. A webinar series will highlight these advancements, showcasing novel quantum approaches and their industrial applications.
The workshop explored how to responsibly integrate AI into society, discussing key stakeholders, transparency, accountability, and human-AI collaboration. EU researchers emphasized the importance of addressing ethical considerations in AI design and governance.
Researchers developed DIAMANTE, a data-centric semantic segmentation approach to detect forest tree dieback events in satellite images. The approach trains a U-Net-like model on labelled remote-sensing datasets and achieves reasonable accuracy for early disease detection, reducing false alarms.
The EMERGE project aims to demonstrate a new framework for coordinating artificial systems and humans. Shared awareness enables simpler AI systems to work together effectively, reducing energy costs and increasing efficiency.
Researchers found that Ukrainian-controlled territories gained forest area despite military conflict, while Russian-controlled territories experienced significant forest loss. The study highlights the impact of modern warfare on environmental sustainability and conservation in Ukraine's Emerald Network.