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CREXDATA Unveils High-Performance Explainable AI Framework to Demystify “Black Box” Decisions

CREXDATA Unveils High-Performance Explainable AI Framework to Demystify “Black Box” Decisions

by Maria Sayavera | Dec 31, 2025 | NEWS

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

CREXDATA Unveils Next-Generation AR System for Critical Field Operations

by Maria Sayavera | Dec 30, 2025 | NEWS

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

Scalable Federated Deep Learning via Federated Dynamic Averaging (FDA) and Meta-Continual NeRF Adaptation

by Maria Sayavera | Dec 30, 2025 | NEWS

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

UPB Leads Innovation in Real-Time Weather Emergency Response for CREXDATA Project

by Maria Sayavera | Dec 29, 2025 | NEWS

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

Scaling Critical Action Planning: NCSR Demokritos Deploys AI-Driven Interactive Learning and Early-Exit Simulation Techniques

by Maria Sayavera | Dec 29, 2025 | NEWS

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...
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This project has received funding from the European Union’s Horizon Europe programme under grant agreement number 101092749.

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