2 ms·
This takes me back. 1990, building Boltzman machines and Perceptrons from arrays of void pointers to "neurons" in plain C. What did we use "AI" for back then? T
by nonrandomstring 1y ago
This takes me back. 1990, building Boltzman machines and Perceptrons
from arrays of void pointers to "neurons" in plain C. What did we use
"AI" for back then? To guess the next note in a MIDI melody, and to
recognise the shape of a scored note, minim, crotchet, quaver on a 5 x
9 dot grid. 85% accuracy was "good enough" then.
- bwestergard 1y agoDid the output sound musical?
- nonrandomstring 1y agoFor small values of "music"? Really, no. But tbh, neither have more advanced "AI" composition experiments I've encountered over the years, Markov models, linear predictive coding, genetic/evolutionary algs, rule based systems, and now modern diffusion and transormers... they all lack the "spirit of jazz" [0] [0] https://i.pinimg.com/originals/e4/84/79/e484792971cc77ddff8f616e071e8b42.jpg https://i.pinimg.com/originals/e4/84/79/e484792971cc77ddff8f...
- gopalv 1y ago> recognise the shape of a scored note, minim, crotchet, quaver on a 5 x 9 dot grid Reading music off a lined page sounds like a fun project, particularly to do it from scratch like 3Blue1Brown's number NN example[1]. Mix with something like Chuck[2] and you can write a completely clientside application with today's tech. [1] - https://www.3blue1brown.com/lessons/neural-networks https://www.3blue1brown.com/lessons/neural-networks [2] - https://chuck.stanford.edu/ https://chuck.stanford.edu/
- nonrandomstring 1y agoThanks for these links. You're right, I think computer-vision "sight reading" is now a fairly done deal. Very impressive progress in the past 30 years.