Project 16037

PAPUD

Profiling and Analysis Platform Using Deep Learning

Businesses are currently having to deal with a data set that is more than they can handle. Today’s necessity is not the usage of data analytics, it is the utilisation of combined technologies in which data analytics are executed to make sense out of the data. The scope of the project is to build a universal model for data analytics using Deep Learning on a proposed set of technologies including HPDA environment that fit best to the data provided.

Project information

Project name
16037 PAPUD
Status
Running
Period
Jan 2018 - Dec 2020
Call
ITEA 3 Call 3
Challenge
Smart engineering
Partners
16
Costs
10,927 k€
Effort
151.88 PY
Countries
Belgium
France
Romania
Spain
Turkey

Project leader

Name
Cornel Crisan
Organisation
Bull
Country
France
Project involvement
16037 PAPUD

Project documents

Work package documents
D1.1 Market Analysis

Project partners