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


Principal Investigator


Primary responsible unit


Related publications


Last updated on 2021-25-08 at 08:53