It makes some sense to handle self-discovered real numbers of infinite precision using analog methods, though I’m curious about how they handle noise, since in the real world and unlike the mathematical world all storage, transmission and calculations have some error.
That said, my experience way back with a project I did at Uni with Neural Networks in their early days, is that they’ll even make up for implementation bugs (we managed about 85% rate of number recognition with a buggy implementation) so maybe that kind of thing is quite robust in the face of analog error.
VeryInterestingTable@jlai.lu 7 months ago
When the results doesn’t matter use “Does not matter chips” They work 3% of the time 100% of the time. BUT they consume way less power! Great for any random statistics, if the results does not match what you want then just press again! Buy “Does not matter chips” now!