I will certainly make future posts about spectral methods in AI since spectral methods are already really important in ML, and it appears that new and innovative spectral methods will help improve AI and especially AI interpretability (but I do not see them replacing deep neural networks though). I am sure that LSRDRs can be used for QA for ML products and for interpretability (but it is too early to say much about the best practices for LSRDRs for interpreting ML). I don’t think I have too much to say at the moment about other cryptanalytic tools being applied to ML though (except for general statistical tests, but other mathematicians have just as much to say about these other tests).
Added 8/4/2023: On a second thought, people on this site really seem to dislike mathematics (they seem to love discrediting themselves). I should probably go elsewhere where I can have higher quality discussions with better people.
I will certainly make future posts about spectral methods in AI since spectral methods are already really important in ML, and it appears that new and innovative spectral methods will help improve AI and especially AI interpretability (but I do not see them replacing deep neural networks though). I am sure that LSRDRs can be used for QA for ML products and for interpretability (but it is too early to say much about the best practices for LSRDRs for interpreting ML). I don’t think I have too much to say at the moment about other cryptanalytic tools being applied to ML though (except for general statistical tests, but other mathematicians have just as much to say about these other tests).
Added 8/4/2023: On a second thought, people on this site really seem to dislike mathematics (they seem to love discrediting themselves). I should probably go elsewhere where I can have higher quality discussions with better people.