Ucore Rare Metals Inc. V.UCU

Message removed/censored for some reason?

[Rapidsx1]

The head of Kingston Process Metallurgy just co-authored a new research paper on the "Mineralogical Analysis of Solid Sample Flame Emission Spectra by Machine Learning".

It came out June 2024 (https://www.researchgate.net/publication/381523714_Mineralogical_Analysis_of_Solid_Sample_Flame_Emission_Spectra_by_Machine_Learning).

This was after co-authoring a piece a year ago-- May 2023-- on "Spectroscopic characterisation of feedstock for copper smelters by machine-learning" (https://www.researchgate.net/publication/370998002_Spectroscopic_characterisation_of_feedstock_for_copper_smelters_by_machine-learning).

 

Which raises these questions:

 1)As Ucore moves to its goal of 99% purity levels, is it updating the AI systems it is using in in the development of Rapidsx?

2) Are the Canadian or US governments--through energy or defense departments--contributing any AI tools to this development?

:0

[VeritasBob]

Chemical Engineering process optimization has been performed one way or another for decades, and gotten more sophisticated and effective over time. In this context, Machine Learning and AI are loosely thrown around as meaningless buzzwords, providing no indication of the actual merit. All Ryan needs to do is say the magic words, AI or Machine Learning, and suddenly RSX is even better than it was.