Summary of proposals for public release:
Data Amalgamation in an AI for Manufacturing System
In partnership with Solid State AI (SSAI), DICE is developing a sub system for SSAI's artificial intelligence (AI) for manufacturing systems (AIMS) platform. Specifically, the proposed applied research will start developing
a system capable of performing data aggregation and migration across multiple corporate
databases while maintaining or introducing relationships between the data points.
This will allow for SSAI's clients to take more control over their data aggregation
strategies and aid in the application of AI and machine learning (ML) algorithms in
the AIMS platform to improve and optimize business and manufacturing processes.
Partner organization
Solid State AI (SSAI)
Funding sources
Portable Image Analysis for Gravel Granularity
McIntosh Sand and Gravel (MSG) is a Saskatoon-based company that performs gravel crushing and processing for industry and municipalities
throughout Saskatchewan. MSG's mission is to disrupt the aggregate industry through
the application of new technologies that will help decrease costs and streamline processes.
DICE will work with MSG to develop a digital method to determine gravel source particulate
size. This is traditionally done through a sieve analysis that takes a significant
amount of time and cost for each analysis. The application of machine learning and
image processing through a low cost, portable system will help to decrease waste,
delays in production and reduce analysis costs.
Partner organization
Funding sources