NEWS & EVENTS
CREXDATA Unveils High-Performance Explainable AI Framework to Demystify “Black Box” Decisions
As Artificial Intelligence becomes more deeply embedded in critical decision-making processes, the "black box" problem -where models reach conclusions without visible reasoning- remains a major barrier to trust. To bridge this gap, the CREXDATA project has...
CREXDATA Unveils Next-Generation AR System for Critical Field Operations
The EU-funded CREXDATA project has announced a major technological milestone with the successful development and field testing of its new Augmented Reality (AR) ecosystem. Designed to bridge the gap between extreme-scale predictive analytics and on-site...
Scalable Federated Deep Learning via Federated Dynamic Averaging (FDA) and Meta-Continual NeRF Adaptation
The Technical University of Crete (TUC) is leading a critical advancement in decentralized artificial intelligence as part of the CREXDATA project. Tasked with heading Federated Machine Learning, TUC is developing novel algorithms designed to make large-scale AI...
UPB Leads Innovation in Real-Time Weather Emergency Response for CREXDATA Project
The University of Paderborn (UPB) has taken a central leadership role in the development of cutting-edge disaster management technologies through the CREXDATA project. As the task leader for the Weather Emergencies Use Case (EmCase), UPB has spearheaded the creation...
Scaling Critical Action Planning: NCSR Demokritos Deploys AI-Driven Interactive Learning and Early-Exit Simulation Techniques
As part of the EU-funded CREXDATA project, the National Center for Scientific Research "Demokritos" is introducing a suite of AI-driven methodologies designed to master extreme-scale data through Interactive Learning for Simulation Exploration. By coupling complex...
Beyond Real-Time Recognition: NCSR Demokritos Unveils Neuro-Symbolic “Forward Recognition” and Symbolic Register Transducers
In a major step toward extreme-scale predictive analytics, the National Center for Scientific Research "Demokritos" has announced significant technical milestones in the development of the EU-funded CREXDATA platform. By evolving the Wayeb engine from a standard...
From Theory to Practical Applications: Contributing to the Evolution of the European Maritime Technology Landscape
The University of the Aegean has made significant contributions to the field of autonomous maritime systems and digital vessel technologies, resulting in a series of innovative developments and impactful research outcomes. One of the key initiatives has been the setup...
A New AI Framework for Visual Analysis Empowers Experts to Make Critical Decisions
As Artificial Intelligence (AI) increasingly handles extreme-scale data in high-stakes environments, the EU-funded CREXDATA project has announced a significant breakthrough in making these complex models more transparent and trustworthy. Researchers from the project...
New AI-Driven Simulation Tools Set to Revolutionize Pandemic Response
Within the Health Crisis Use Case, the objective of the epidemiological scenario was to analyse the spatiotemporal dynamics of epidemic processes. To this end, an epidemic simulator, EpiSim.jl[1], was developed to enable users to simulate and analyse the epidemic...
Advancing Research Excellence: CREXDATA Celebrates Milestones in Graduate Work
The CREXDATA project demonstrates its strong academic impact, with a series of successful theses completed across partner universities and research institutes. Eleven master’s and three PhDs theses highlight the project’s commitment to advancing cutting-edge research...