MARVEL at the Smart City Expo World Congress 2023
MARVEL participated in the Smart City Expo World Congress 2023, which took place from November 7th to 9th in Barcelona
MARVEL at the DCASE 2023 Workshop
MARVEL was one of the sponsors of the Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) 2023.
A Night of Innovation: Exploring AI Capabilities at Researchers’ Night
Recap of the Researchers' Night event, where the E3DA team demonstrated the potential of AI on resource-limited devices, including interactive art and technology exhibits.
GRN Presents MARVEL at SMITHS Conference
Discover how Greenroads highlighted the MARVEL project's contributions to sustainable transport solutions at the recent SMITHS conference.
MARVEL Shines at DataWeek 2023: Exploring Collaborations and Sustainability in Big Data
MARVEL project takes center stage at DataWeek 2023, with a focus on extreme scale data analytics for smart cities, potential collaborations, and the ecological footprint of big data infrastructures.
MARVEL at the Vision Zero for the Balkans Road Safety Conference 2023
MARVEL participated in the Vision Zero for the Balkans Road Safety Conference that took place from May 15th to May 16th, 2023 in Belgrade.
Challenges that Every Smart City Faces
In this blog post, we discuss the 6 key challenges facing Smart City solutions today based on the latest studies and research.
The advantages of the MARVEL framework perceived by end users in the field of urban security
Learn how the Municipality of Trento Local Police Command is utilizing AI in the MARVEL project to improve urban security and public space management.
AI bias and project MARVEL
Explore the challenges of AI bias and the steps taken by Project MARVEL to develop a lawful, ethical, and robust AI system, ensuring fairness and inclusivity in smart city applications.
GPU-Accelerated Pattern Matching using GPURegex
Explore GPURegex, a powerful tool for accelerated pattern matching, and learn how it enhances MARVEL's E2F2C framework for rapid event identification using GPUs.
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