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


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