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...
BINARE members present EXTRACT at the CSC Summer School
BINARE members present EXTRACT at the CSC Summer School