Merge pull request #23 from codeplaysoftware/seven-eu-projects-update

Seven EU Projects Update/Press-Release Post

_collections/_updates/2024-06-20-seven-eu-projects-collaborate-around-shared-mission.md

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+---
+title: "Seven EU Projects Collaborate Around Shared Mission to Extract Meaningful Insights from Extreme Data"
+date: 2024-06-20
+layout: update
+tags:
+  - press-release
+  - construction-kit
+  - oneapi
+  - codeplay
+---
+
+As part of the Horizon Europe funding programme, seven pioneering projects have received funding to address the
+challenges posed by extreme data generated by IoT, industrial, business, administration, environmental, scientific and
+societal sources. These projects are pursuing innovative approaches that integrate cutting-edge technologies, including
+Artificial Intelligence (AI), Internet of Things (IoT), High-Performance Computing (HPC) and Edge/Fog/Cloud Computing.
+
+Under the 2022 Horizon Europe call for Digital and Space, topic “World Leading Data and Computing Technologies”, the EU
+recognises the intrinsic value of data for EU’s competitiveness. Projects funded under the
+cluster [HORIZON-CL4-2022-DATA-01-05 – Extreme data mining, aggregation and analytics technologies and solutions](https://cordis.europa.eu/programme/id/HORIZON_HORIZON-CL4-2022-DATA-01-05/en)
+seek to securely extract meaningful insights from raw data, facilitating advanced decision-making strategies.
+
+## Methodology and Novelty
+
+Through unique methodologies and application cases, each of the seven projects contribute to strengthening European
+capacities for agile responses to urgent needs by developing and enabling the uptake of the next generation of computing
+and data technologies and infrastructures. Operating within the framework of European values, the projects emphasise
+human-centred and ethical development of digital and industrial technologies, promoting trustworthy technology that
+empowers end-users.
+
+The projects leverage innovative infrastructures, converging and working seamlessly across the compute continuum. With
+diverse application cases, ranging from crisis management, mobility, to food security, the projects aim to bring their
+innovative work closer to end-users, making it a reality for them.
+
+## The Cluster Objectives
+
+The cluster is dedicated to fostering a vibrant community within the seven projects. By creating a space for exchange,
+knowledge-sharing and network-sharing the cluster aims to create a synergetic ecosystem. This collaborative effort
+maximises the impact of the projects by enhancing communication networks and facilitating exchange, with partners from
+across Europe, showcasing the effectiveness of Horizon Europe and laying the foundation for future collaborations.
+
+## DataNexus in Summary
+
+The seven projects in the DataNexus cluster are:
+
+[Graph-Massivizer:](https://graph-massivizer.eu/) Extreme and Sustainable Graph Processing for Urgent Societal
+Challenges in Europe.
+
+Use Cases: Massive graph representation of extreme data in:
+
+* Data Center Digital Twin for Sustainable Exascale Computing
+* Green AI for Sustainable Automotive Industry
+* Global Foresight for Environment Protection
+* Green and Sustainable Finance
+
+[NEARDATA:](https://neardata.eu/) Extreme Near-Data Processing Platform.
+
+Use Cases: A near-data platform for consumption, mining and processing of data in:
+
+* Genomics
+* Metabolics
+* Surgery
+
+[EXA4MIND:](https://exa4mind.eu/) EX4MIND platform for extreme data enables advanced data analytics on supercomputers
+and automated data
+management with support for integration by design with European data ecosystems.
+
+Use Cases:
+
+* Systematic improvement of molecular simulations and accuracy
+* Massively automated annotation and evaluation of automotive camera recordings
+* Smart farming/viticulture with sensors and satellite imagery
+* Secure data mining in health data
+
+[EXTRACT:](https://extract-project.eu/) A distributed data-mining software platform for extreme data across the compute
+continuum.
+
+Use Cases:
+
+* Personalized evacuation route system (mobile app)
+* Transient astrophysics for analyzing space weather
+
+[SYCLOPS:](https://www.syclops.org/) Scaling extreme analytics with cross-architecture acceleration based on open
+standards, and advancing AI/data
+mining by democratizing its acceleration through open standards.
+
+[EFRA:](https://efraproject.eu/) Extreme Food Risk Analytics.
+
+Use Cases:
+
+* Risk predictions for poultry pathogens
+* Enhanced predictive capabilities for pest alarms
+* Informing regulatory decisions with food risk intelligence
+
+[EMERALDS:](https://emeralds-horizon.eu/) Extreme-scale Urban Mobility Data Analytics as a Service. The MAaaS toolset
+will stand out by moving analytics
+and sensitive data analytics to edge computing, enhancing response times and safeguarding data privacy.
+
+Use Cases:
+
+* Mobility analytics as a service toolset
+* Risk-assessment, prediction and forecasting during events
+* Multi-modal integrated traffic management
+* Trip characteristics inference and traffic flow data analytics
+
+By focusing on enabling technologies and their applications for Europe, the cluster contributes to advancing European
+technology and making extreme data useful for addressing economic, societal and industrial needs.
+
+## Contacts
+
+* GRAPH-MASSIVIZER: Nuria de Lama (IDC): <[email protected]>
+* NEARDATA: Vanesa Ruana (Universitat Rovira i Virgili) – <[email protected]>
+* EXA4MIND: Arantxa Echarte (AUSTRALO) – <[email protected]>
+* EXTRACT: Janine Gehrig (Barcelona Supercomputing Center) – <[email protected]>
+* SYCLOPS: Max Brunton (Codeplay) – <[email protected]>
+* EFRA: Efthymios Gkouthas(RAINNO) – <[email protected]>; Ourania Ntinou (RAINNO) <[email protected]>
+* EMERALDS: Sara Bozzi (Trust-IT Services) – <[email protected]>; Marialetizia Mari (Trust-IT Services) –
+  <[email protected]>

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