AMaLIA-2020-JYU
Main funder
Funder's project number: 33152/31/2020
Funds granted by main funder (€)
- 150 757,00
Funding program
Project timetable
Project start date: 01/09/2020
Project end date: 31/08/2021
Summary
Advanced Machine Learning for Industrial Applications (AMaLIA-2020) is composed of 9 Work
Packages (6 TAU, 2 JYU, 1 UH) proposed for the NSF-BF CVDI 2020-2021 Finland Site Projects
for approved by NSF CVDI Steering Group. The main target of AMaLIA 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 the Industry Advisory Board and the industries they
represent
Packages (6 TAU, 2 JYU, 1 UH) proposed for the NSF-BF CVDI 2020-2021 Finland Site Projects
for approved by NSF CVDI Steering Group. The main target of AMaLIA 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 the Industry Advisory Board and the industries they
represent