NEWS & EVENTS
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.
Partner URV presents “Glider” storage service at Middleware Conference
On 13 December 2023, BSC partner Universitat Rovira i Virgili (URV) presented its paper, “Glider: Serverless Ephemeral Stateful Near-Data Computation” at the 25th ACM/IFIP International Middleware Conference (11-15 December 2023). This conference is a major forum for...
LOGOS Introduces EXTRACT at Italian Ministry of Culture ‘Connect & Create’ Event
EXTRACT partner, LOGOS RI, participated in the networking event “Connect & Create,”. Dr. Emanuele Bellini (LOGOS RI) took this opportunity to give a short presentation introducing LOGOS’ project portfolio and the EXTRACT project.
EXTRACT @ SCEWC: Edge computing for safer & cleaner mobility
Elli Kartsakli, from the Barcelona Supercomputing Center partner presented the EXTRACT project at the 2023 Smart City Expo World Congress in Barcelona, Spain. Her presentation, “Edge Computing for a Cleaner and Safer Mobility”, was held at the Generalitat de Catalunya...
Sharing EXTRACT´s vision with Smart City Attendees
EXTRACT partner Elli Kartsakli from the Barcelona Supercomputing Center (BSC-CNS) presented at the Generalitat de Catalunya Agora of the 2023 Smart City Expo World Congress. Elli´s presentation, "Edge computing for safe and clean mobility in smart cities" was...
Leveraging Multi-Agent Reinforcement Learning for a safe personalized escape route
An effective response is paramount in the event of unforeseen calamities such as natural disasters or attacks. EXTRACT seeks to help prepare effective responses in the case of emergency situations by extracting extreme volumes of data to inform actionable knowledge....
Improving the Performance of the TASKA Use Case through Parallelisation
To help generate the high-resolution images generated from the data received from the SKA antennas, EXTRACT project is pursuing technical synergies that will help create and improve the workflows used in the TASKA use case by integrating the latest cloud technologies in data processing parallelisation.
EXTRACT Coordintator Gives Keynote at AMLE Summer School
EXTRACT project coordinator, Dr Eduardo Quiñones was invited to give a keynote speech at the Adaptive Machine Learning at the Network Edge (AMLE) Summer School in Lorient, France. His presentation on the 20th of September 2023, entitled, "Task-based Parallel...
EXTRACT Presence at 2023 IEEE International Conference on Cyber Security and Resilience
Date: August 2, 2023 Location: Venice, Italy EXTRACT partners LOGOS RI, MATHEMA and BINARÉ participated in the renowned 2023 IEEE International Conference on Cyber Security and Resilience from 31st July to 2nd August 2023 in Venice, Italy. The conference brought...
BSC Gives Tutorial on Continuum to Mobility Professionals @ FACTUAL summer course
Project coordinator, Barcelona Supercomputing Center (BSC), presented EXTRACT technology and its use for urban mobility in the summer school course, "Digitilazacion of Mobility" hosted by FACTUAL, EIT Urban Mobility (co-funded by the European Union) with support from...