MAIN PROJECT OBJECTIVE
Programme funded under the National Recovery and Resilience Plan (PNRR), Mission 4 "Education and Research" – Component 2 "From Research to Business" – Investment Line 1.4, funded by the European Union – NextGenerationEU, Project "ICSC" CN00000013 SPOKE 3, CUP C53C22000350006, Thematic Area 1: Scientific Visualisation with Artificial Intelligence Support, Sub-theme E.
 
DESCRIPTION
Development of specialised, HPC-enabled algorithms for applying machine learning solutions to specific problems in processing, analysing and visualising astrophysical data.
 

CUP: C53C22000350006
TOTAL AMOUNT: € 234.273,60
FUNDED AMOUNT: € 178.703,51

PROJECT START: 02/12/2024
EXPECTED END: 30/11/2025

CONTACT
[email protected] | www.netservice.eu

AstroData applies machine learning to astrophysical data on HPC infrastructures.

The growing amount of data produced by astronomical observations makes it necessary to develop new automated analysis tools capable of supporting researchers' work.

The AstroData project focuses on developing machine learning algorithms optimised for HPC infrastructures, for the analysis and visualisation of astrophysical data.

Artificial intelligence for scientific data analysis

The algorithms developed improve the processing and interpretation of scientific data, making it possible to identify complex correlations and patterns within large datasets.

Technologies and application areas

Artificial intelligence

Supports advanced data analysis and pattern recognition.

 
Scientific data processing
Enables efficient handling of large dataset
 
Data visualisation
Facilitates the interpretation of astrophysical phenomena.
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