Hacker News Reader

I'm curious how they deal with probabilities very close to 1 or 0. Usually when people are doing bayesian things with probabilities they work in logistic space so that the precision of values close to 1 or 0 is effectively unbounded. That seems like a hard thing to do with an analog circuit.

View on HN

The founder's thesis mentions that they use a linearizer in their analog circuit, but all that does is give the same precision over the entire logical value range from 0 to 1 (by that I mean the same amount of voltage swing equals the same amount of "logic value change" anywhere in the range).

I suppose they could use a "non-linearizer" to put more of the precision near 0 and 1, but it would come at the expense of precision in the middle. The less voltage swing is involved, the more susceptible you are to noise from various sources.

Reply on news.ycombinator.com