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Cake day: August 25th, 2023

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  • bluefishcanteen@sh.itjust.workstoScience Memes@mander.xyzBreast Cancer
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    1 month ago

    This is a great use of tech. With that said I find that the lines are blurred between “AI” and Machine Learning.

    Real Question: Other than the specific tuning of the recognition model, how is this really different from something like Facebook automatically tagging images of you and your friends? Instead of saying "Here’s a picture of Billy (maybe) " it’s saying, “Here’s a picture of some precancerous masses (maybe)”.

    That tech has been around for a while (at least 15 years). I remember Picasa doing something similar as a desktop program on Windows.





  • Technically no. The tolerances should be more or less the same (generally 90%-110% label claim for the active ingredient) . Manufacturers aim for 100% and generally hit that target (or get very close to it).

    The bioavailability could be different though - if you are doing a bioequivalence trial for generic VS brand, the generic would have to be between 80% - 120%. This difference is generally a result of the starches, fillers, and other stuff that may be in a generic formulation.

    Same net effect as your comment (wider tolerances), but there is a bit more nuance.