News & Events

The synergy between Geosciences and Machine Learning in today's world are at the forefront of global concerns. For example, the management of water resources has become a critical issue. The integration of geosciences and machine learning is emerging as a new and innovative solution to these problems. Geosciences provide a fundamental understanding of water systems. […]

In the dynamic City of technological progress, Lidar sensors, or Light Detection and Ranging sensors, have emerged as pivotal tools in the development of smart cities. These sophisticated sensors utilize laser light to gauge distances and construct intricate three-dimensional maps, providing a trove of data that is reshaping urban planning, traffic management, and public safety […]

The recently concluded ecosystem workshops at Helsinki Mobility Lab have provided invaluable insights into the world of digital twins and data marketplaces. In particular, discussions surrounding the Mobility Data Marketplace have shed light on crucial aspects that will shape the future of this evolving landscape. Key Insights on Mobility Data Marketplace Workshop Strategic Conceptual Focus […]

Micro mobility has emerged as a key factor in urban transportation systems, providing flexible and sustainable alternatives for short-distance travel. Electric scooters, bikes, and other zero-emission vehicles not only complement traditional modes of transportation but also reshape urban mobility, creating a more seamless and intelligent way of getting around. Flexible Options for Short Trips Micro […]

As inferred by the project acronym itself, SEDIMARK is a data-driven project, joining the global trend where individuals and companies produce tons of data on a daily basis. The initial impulse in any initiative of this type involves focusing on the purely operational and organizational aspect. However, if we stop to think about the treatment […]

This deliverable is a first version of the deliverable named “Edge data processing and service certification”. The work has focused on identifying the building blocks required to develop a framework for deploying AI-based data processing and sharing modules at edge data sources, considering edge-cloud interactions following MLOps principles. It involves analysing various ML frameworks such […]

SEDIMARK D3.3 “Enabling tools for data interoperability, distributed data storage and training distributed AI models” is a report produced by the SEDIMARK project. It aims at providing insights in relation to progress made for: Data quality is considered to be of the highest importance for companies to improve their decision-making systems and the efficiency of […]

"Much as steam engines energised the Industrial Age, recommendation engines are the prime movers digitally driving 21st-century advice worldwide" Recommender systems are the prime technology for improving business in the digital world. The list is endless, from movie recommendations on Netflix to video recommendations on YouTube, to playlist recommendations on Spotify, to best route recommendations […]

In the strive to achieve interoperability in information models, it is important to relate concepts that we define in our models to others that have already been developed and have gained popularity. This can be done by reuse, inheritance or an explicit relationship with that concept. There are many approaches to ontology development, but by far, […]