Multimodal Extreme Scale Data Analytics for
Smart Cities Environments

Big Data technologies at the service of the citizens!

Welcome to the first Newsletter of MARVEL, an EU H2020 funded project striving to create a framework that will empower smart city authorities to better support their citizens, utilizing a set of technologies in the area of AI, analytics, multimodal perception, software engineering and High-Performance Computing as part of an Edge-Fog-Cloud Computing Continuum paradigm.

MARVEL will collect, analyse and data-mine multimodal audio-visual streaming data, to improve the quality of life and services to citizens within a smart city, without violating ethical and privacy limits, in an AI-responsible manner.

17 Partners started this challenging journey and, within a short period of four (4) months, have already made significant steps forward.

Check MARVEL's objectives here

First Quarter Highlights

Our first scientific publication!

The paper “Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT” was presented at the SLOHA 2021 conference by the FBK team.

Read it here >>

Our first public deliverable!

MARVEL’s first public deliverable related to the project website development is available at Zenodo.

Read it here >>

Ethics and privacy protection at the core of everything we do!

The first MARVEL Ethics Board meeting was organized in order to receive the Ethics Advisory Board’s feedback and guidance on relevant privacy, security and ethical issues within the project.

Read more here >>

Collaboration with BDVA/DAIRO!

MARVEL participated in the BDVA/DAIRO Activity Group meeting 43, aiming to align with the members focusing on Data Platforms, Data Spaces, Data Governance and Standards and Trustworthiness of Industrial AI.

Read more here >>

MARVEL as a reference project!

Already within the first month after its kick-off, MARVEL has inspired 50+ participants of the Open Day for ERASMUS+ KA2 Project BENEFIT.

Read more here >>

MARVEL at the webinar for PROSA!

Prof. Alexandros Iosifidis from AU, gave a webinar presentation to PROSA, a Danish IT-oriented union with ~16.000 members, where he presented the goals of MARVEL in multi-modal data analysis tasks of the project.

Read more here >>

Check MARVEL's latest news here


We would like to share our thoughts and whenever possible some insights regarding our progress as a consortium. This should allow us to maintain an open dialogue with everyone interested in and / or influenced by MARVEL. We invite you to share your thoughts as well, not only related to the topics we touch, but also related to anything around MARVEL’s objectives. You can see our first blogs below:

Maximizing MARVEL's benefit for the EU citizens!

Collaboration is key to maximizing the impact of the European citizens’ investment. It is therefore crucial for the MARVEL consortium, to collaborate with projects and initiatives tackling similar challenges.

Read more here >>

Living-in.EU: Digital Transformation in the European Cities!

Aimed at improving quality of life and services to citizens, while preserving privacy, security and ethical values, MARVEL copes with the challenges of data collection, analytics and storage. In this context, the “Legal” working group of the initiative is particularly interested in the project.

Read more here >>

Check all MARVEL's blogs here

Upcoming Events

May 25-27, 2021

MARVEL @ DATAWEEK - MARVEL will be present at Data Week, a spring gathering of the European Big Data and Data-Driven AI research and innovation community. Do not miss "Building the data-agile economy from the demand side: evolving business drivers and digital transformation scenarios" and "Big Data and AI Pipelines in Big Data PPP projects from a Technology analysis and benchmarking perspective” sessions with MARVEL representatives as invited speakers.

July 18-22, 2021

MARVEL @ International Joint Conference on Neural Networks 2021 - At least 2 MARVEL consortium partners will be present at IJCNN2021. Prof. A. Iosifidis from Aarhus University will present the scientific paper he co-authored, entitled: "The Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning" and Tampere University, along with partners from Europe, organizes the special session "Representation Learning for Audio, Speech, and Music Processing".

This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337.

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