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Explore the outcomes, toolsets, and best practices from our latest webinar

Introducing the EMERALDS Toolset

Discover EMERALDS advanced urban mobility data analytics. Our architecture's core principles ensure security, performance, and seamless experiences. The first version of the EMERALDS Toolset will be developed by June 2024. The various containerised services will be tested by the EMERALDS Use Cases and Early Adoption Demonstrators with an updated Toolset available by October 2025. Extreme-scale Mobility Data Analytics (MDA) at the CC

Mobility AI as a Service

Mobility AI as a Service (MAIaaS) is a comprehensive platform designed to facilitate the development...

Active & Federated Learning over Mobility Data

Active Learning, Federated Learning, and Explainable AI (XAI) are core techniques in our urban...

Mobility Data Fusion and Management

Mobility Data Fusion and Management is a multidisciplinary approach that involves the collection...

Extreme-scale Cloud/Fog Data Processing

Extreme-scale Cloud/Fog Data Processing refers to the capability of processing exceptionally large...

Privacy-aware in situ Data Harvesting

"Privacy-aware in situ data harvesting" describes EMERALDS' novel approach to edge data collection...

Extreme-scale Mobility Data Analytics (MDA) at the CC

Extreme Scale Mobility Data Analytics (MDA) at the Compute Continuum (CC) involves advanced...

EMERALDS Toolset