Advanced Machine Learning and AI for Industrial Applications (AMaLIA-2021)
Main funder
Funder's project number: 4212/31/2021
Funds granted by main funder (€)
- 146 100,00
Funding program
Project timetable
Project start date: 01/09/2021
Project end date: 28/02/2023
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.
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
Internal follow-up group
Profiling area: School of Wellbeing (University of Jyväskylä JYU) JYU.Well
