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Amii expands partnership with PrairiesCan to support more small and medium-sized enterprises

1 reports1 story updatesUpdated Oct 30 00:09

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On October 27, the Alberta Machine Intelligence Institute (Amii) announced the expansion of its partnership with PrairiesCan, adding CAD 2.5 million in new federal funding, bringing the program's total federal investment to CAD 5.6 million, and helping another 25 small and medium-sized enterprises build practical AI capabilities. Since the program launched in 2024, it has served 30 regional enterprises, covering energy, agriculture and manufacturing, with a model of embedding full-time machine learning residents at companies and transferring knowledge. Disclosed cases include Croptimistic's crop vision model, Carson Integrated's stream classification model with an average classification accuracy of about 75%, and Ambyint's reinforcement learning experiment that failed to outperform existing automation in production.

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Amii Expands AI Application Partnership, Adding Support for 25 More Small and Medium-Sized Enterprises

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  1. Amii expands partnership with PrairiesCan to support more small and medium-sized enterprises

    Source:Unite.AI

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Oct 30

  1. Unite.AI

    Amii Expands AI Application Partnership, Adding Support for 25 More Small and Medium-Sized Enterprises

    The Alberta Machine Intelligence Institute (Amii) announced on October 27 that it is expanding its partnership with Canada's PrairiesCan, adding C$2.5 million in new federal funding, bringing the program's total federal investment to C$5.6 million, and will help 25 more small and medium-sized enterprises build practical AI capabilities. Since the program launched in 2024, it has served 30 regional businesses, covering energy, agriculture and manufacturing, with a model of embedding full-time machine learning residents at companies and transferring knowledge. Cases include Croptimistic's crop vision model, Carson Integrated's stream classification model with approximately 75% average classification accuracy, and Ambyint's reinforcement learning experiment that failed to surpass existing automation in production.

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