Advanced Machine Learning and AI for Industrial Applications (AMaLIA-2021)


Main funder

Funder's project number4212/31/2021


Funds granted by main funder (€)

  • 146 100,00


Funding program


Project timetable

Project start date01/09/2021

Project end date28/02/2023


Summary

Advanced Machine Learning for Industrial Applications (AMaLIA-2021) is part of NSF IUCRC Center for Visual and Decision Informatics (CVDI) Year-10 project proposal submitted for funding to Business Finland.
AMaLIA-2021 is composed of 9 Work Packages (WP) which were approved by the Industry Advisory Board (IAB) of NSF CVDI. The main target of AMaLIA 2021 is to develop advanced Artificial Intelligence (AI) and Machine Learning techniques and apply them in relevant, timely, and high impact industrial applications of interest to NSF industrial partners listed above.


Principal Investigator


Other persons related to this project (JYU)


Primary responsible unit


Follow-up groups

Profiling areaEmergent work in the digital era (University of Jyväskylä JYU) EWIDESchool of Wellbeing (University of Jyväskylä JYU) JYU.Well


Related publications and other outputs


Last updated on 2023-12-12 at 09:40