NEWS & EVENTS

The EXTRACT project received many visitors as part of the first poster session of the 11th ACM Celebration of Women in Computing: womENcourage™ event. From June 26-28 June 2024, computing experts came together in Madrid to celebrate the role and impact of women in...

Members of the EXTRACT project consortium met in Barcelona for an intense three-day Hackathon that allowed the team to focus on technology integration and problem-solving. The Hackathon forms part of the larger EXTRACT strategy to ensure that the technological...

Members of the EU AI Community came together as part of the online European Convergence Summit, hosted by the AI, Data and Robotics Association ecosystem to showcase solutions at the intersection of these three critical technologies. On 19 June 2024, EXTRACT...

EXTRACT coordinator Eduardo Quiñones from the Barcelona Supercomputing Center was invited to speak at the 28th Ada-Europe International Conference on Reliable Software Technologoies (AEiC 2024), which took place 11-14 June in Barcelona. His talk took place on 12 June...

As part of the Horizon Europe funding programme, seven pioneering projects have received funding to address the challenges posed by extreme data generated by Internet of Things (IoT), industrial, business, administration, environmental, scientific, societal sources....

Partner BINARE joined the CSC’s Digital Twins Technologies group at their Digital Twin seminar on 27 May 2024. They shared a poster on the Urban Digital Twin of Venice being prepard within the framework of the EXTRACT use case for a Personalised Evacuation Route. The...

The EXTRACT project, introduces a pioneering application of UDT in Venice, Italy—a city known for its unique architectural complexity and significant tourist influx. The UDT developed by LOGOS exemplifies advanced digital twin technology applied in urban settings.

Watch our videos to learb how the EXTRACT project is harnessing the power of data and testing its solutions in the PER and TASKA use case.

Implementing the PER  system and creating a Multi-Agent Reinforcement Learning (MARL) model requires a preliminary phase that simulates the possible movements of people in an emergency situation to properly train the model.. A true-to-life simulator offers a safe and controlled platform for testing learning strategies in different situations.

On 2 February 2024, fifty retired policemen and women were called on to participate in a simulation activity that feeds into the project’s Personalised Evacuation Route use case. These volunteers met on San Servola island to help visually represent the change in crowd speed stemming from different obstacles put in their path.