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.
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.
A neural network-based time-series forecasting model for concentrations of an electrochemical reaction.
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...
self-X autonomic supervised and unsupervised feature selection
self-X autonomic abilities for data mining activities