NEWS & EVENTS

News

Venice UDT Presented at CSC Digital TWin Seminar

Venice UDT Presented at CSC Digital TWin Seminar

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...

Urban Safety and Efficiency: A Digital Twin of Venice

Urban Safety and Efficiency: A Digital Twin of Venice

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.

Simulating Movement to Test Learning Strategies in the PER use Case

Simulating Movement to Test Learning Strategies in the PER 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.

MWC24 0pens door to Industry

MWC24 0pens door to Industry

Elli Kartsakli and Alba Cañete from the BSC presented at the Barcelona Beat Agora, hosted by the Barcelona City Council on 26 February. Their presentation focused on smart city applications of the key enabling technologies that facilitate extreme data mining. It also included an introduction into the Venice Personalised Evacuation Route crisis management use case.

Observatoire de Paris hosts Consortium at site of TASKA use case

Observatoire de Paris hosts Consortium at site of TASKA use case

The third EXTRACT face-to-face meeting took place in Paris and Nançay France from 13-15 February 2024. Partner Observatoire de Paris hosted this three day event that provided key insights into the requirements of the Transient Astrophysics with a Square Kilometer...

CompContinuum Workshop at HiPEAC 2024

CompContinuum Workshop at HiPEAC 2024

Figure 1: Xavier Palomo, from partner BSC, shares EXTRACT use cases to demonstrate potential crisis management applications of an efficient compute continuum The half day workshop, "CompContinuum: Computing Continuum of Cloud, Edge, and IoT Technologies” held on the...

Serving Models at Scale in EXTRACT

Serving Models at Scale in EXTRACT

A machine-learning (ML) model recommends where each individual should go in case of a disaster, taking into account the person’s characteristics and capabilities (age, disability, etc) and the limited capacity and labyrinthian streets and alleys of ancient Venice. To allow people’s devices to access this model, it needs to be served, i.e., be available as a remote service.