During the next 23rd to 25th September 2025, the SEDIMARK: Data4Mobility Hackathon will take place in Santander, at the “Centro de Iniciativas Empresariales" (CIE). Registration is open until noon 23rd September. Go and visit the following link to register yourself to this big opportunity: As part of the SEDIMARK project, in which Santander City Council […]
Last month we hosted our webinar: “Introduction to the SEDIMARK Toolbox”, bringing together stakeholders from research, industry, and policy to explore how secure, interoperable data marketplaces can be built on top of the Data Space concept. 💡 Highlights from the session: An overview of the SEDIMARK platform and its role in enabling secure, privacy-preserving, and […]
We recently held a hands-on, hybrid technical meeting in Paris dedicated to refining and optimizing the data and machine learning pipelines in SEDIMARK. The session brought together team members on-site and online to work through practical implementation details, address technical challenges, and identify improvements to enhance efficiency, interoperability, and security across the platform.
The SEDIMARK project will be featured at Open Source Community Day 2025! Join us in Madrid on 23–24 September for this two-day event focused on boosting open source innovation through collaboration and community.
On June 25th and 26th, the SEDIMARK consortium gathered in Dublin, Ireland, for a new General Assembly meeting hosted by University College Dublin (UCD). The city’s vibrant atmosphere, combined with the university’s inspiring academic setting, offered the perfect environment for two intensive days of discussions, planning, and collaboration. The meeting focused primarily on the integration […]
As machine learning models grow in complexity, deploying them in real-world environments—especially on resource-constrained devices—requires a shift from “bigger is better” to “smaller and smarter.” One powerful method to achieve this is model pruning.
As the world becomes increasingly data-driven, the need for accurate and efficient forecasting methods has never been greater. Multivariate time series forecasting is a complex task that involves predicting future values based on multiple interrelated time series. Traditional methods often struggle to capture the intricate relationships between these series, leading to suboptimal predictions. This is where Crossformer comes in, and it works as a component inside the toolbox of SEDIMARK.
At the heart of #SEDIMARK lies a powerful AI architecture, featuring MageAI and MLFlow, designed to revolutionize energy optimization. MageAI orchestrates seamless AI workflows, while MLFlow automates robust machine learning pipelines, enabling accurate and localized energy consumption predictions. Our integrated system supports dynamic customer management strategies, ensuring a transparent, scalable, and efficient solution for energy […]
WINGS hosted a new face-to-face General Assembly meeting of the SEDIMARK project on March 19th and 20th in Athens, Greece. The mediterranean sea, a long and rich culture, excellent food, and wonderful people are always a winning formula. The whole consortium participated in the meeting, in which technical aspects regarding all of the active Work […]
