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Public AI Challenge – selected PA departments

2022

Progetto Fondo Caproni

The Strategic Mission Unit for the Protection and Promotion of Cultural Heritage and Activities has among its functions the study, protection, preservation and enhancement, promotion and
enjoyment of the provincial cultural heritage to which the Caproni Collection belongs. The Caproni Collection is the oldest aviation-themed collection in the world and consists of historic aircraft and engines, historical and artistic assets, and archival and library materials, as well as more than 200,000 phototypes.

The Challenge calls for the development of an AI application that, given a database of historical photographs scans that make up the selected photographic fund, returns a thematic subdivision of the same. Once the thematic selection has been made, the program must also accompany the file with essential descriptive information (metadata).

Meteo Trentino

Meteotrentino is a structure of the Autonomous Province of Trento established in 1997 that deals with meteorology, snow and glaciology. Meteotrentino is part of the Civil Defense organization and collaborates with several other provincial and national level structures with similar purposes.

The candidate challenge requires the development of an AI system for the validation of weather data from Meteotrentino’s network of stations, identifying any errorsin the measurement (missing data, anomalies with respect to climatology and neighboring or similar altitude stations, …) and improving the final quality of the archived weather data.

APSS

The Operative Diagnostic Neuroradiology and Interventional Radiology Unit and the Laboratory of Neuroinformatics are collaborating to test computational methods for radiomics, a new method of analysis based on large amounts of data.

Starting with a database of brain neuroimages annotated by experts and publicly available for research purposes, it is required to develop a model to automatically obtain a segmentation of major brain tissues. The goal is to train a machine learning method to improve the segmentation of MRI neuroimages in the case of patients with malformations–congenital or acquired. The challenge is to demonstrate that in the clinical case a data-driven approach can be more effective than a model-based approach.

APRIE

The Studies and Planning Office, which depends on APRIE (Provincial Agency for Water Resources and Energy), has among its responsibilities the implementation of the Use of Public Waters’ General Plan, promoting in this regard appropriate studies and research in support of the activities incumbent on the Province in the area of basin planning.

The Challenge is to develop a predictive model of irrigation withdrawal, considering weather-climate variables and land use. This would provide advance knowledge of the agricultural sector’s consumption and thus be able to act more accurately regarding water resource rationalization actions.

Other ongoing Challenges

Industrial AI Challenge

The challenge for the analysis and optimization of production processes through artificial intelligence solutions

UX Challenge

The challenge to innovate and redesign the user experience of digital products and services.

PROTO Challenge

The challenge to solve industrial problems related to the mechanical design of manufacturing companies.