3 ms·

Analog computers have a lot of history. You can Google analog with neural network or differential equations to get many results. They are fast with low power, c

Analog computers have a lot of history. You can Google analog with neural network or differential equations to get many results. They are fast with low power, can have precision issues, and require custom, chip design. https://en.m.wikipedia.org/wiki/Analog_computer https://en.m.wikipedia.org/wiki/Analog_computer Mixed signal ASIC’s often use a mix of digital and analog blocks to get the benefits of analog. It’s especially helpful for anything that eats lots of power or to prevent that (eg mobile).

onecommentman 2y ago
Hard to beat the string algorithm for finding shortest paths on a positive weights network (e.g. build the network out of string where topologies match and link lengths are link weights, find the origin and destination nodes/knots of interest, grab the two nodes and pull until taut). Or the spaghetti approach to finding the largest value from a list of positive values (e.g. cut dry spaghetti noodles to length for each value, bundle them together and tap the bundle on a table, the one visually sticking out the most is the largest valued element).
- forrest2 2y ago
  Of course, we already need to be working in Spaghetti ints or prepping them will be as complex than a linear scan. Can't wait for spaghetti arithmetic. Do we have a better algo than log(n) for locating the min? I'm thinking spaghetti max align them, lay them across an arm at the midway point, sweep the shorts that fell, and repeat until all remaining are same length.