Engineering Ingegneria Informatica S.P.A
The s-X-AIPI Horizon Project will research, develop, test and experiment an innovative toolset of custom trustworthy self-X AI technologies for the process industry. These applications will minimize human involvement in the loop and exhibit self-improving abilities.
s-X-AIPI project is a 3-year Horizon Europe funded project which aims to develop and test a novel autonomic artificial intelligence toolset for the transformation of the European process industry. The explored solutions will see the formulation of a novel architecture, data pipeline and realistic datasets, derived from 4 real world demo cases (asphalt, steel, aluminium and pharmaceutics), combined with an autonomic manager based on the MAPE-K model (continuous Monitoring-Analyzing-Planning-Execution flow based on the Knowledge of the AI system under control) for developing self-improving AI systems. The end goal of these applications is to optimize human involvement in the loop of creation and maintenance of AI applications for industrial usage, while exhibiting self-improving abilities.
A neural network-based time-series forecasting model for concentrations of an electrochemical reaction.
self-X autonomic supervised and unsupervised feature selection
self-X autonomic abilities for data mining activities
The DIDA (Digital Industry Data Analytics) Platform is an OSS Digital Manufacturing Platform, aiming to become a reference implementation for any Industry 4.0 Data Analytics need, enabling the development of applications in several industrial domains.
This record consists of several scripts and files designed to calculate and visualize the efficiency of a burner, as well as predict the burner power using a neural network model. This model consists of a sequential neural network with multiple layers. Bo...