A few posters might want to read up on Stochastic Resonance, which was surprisingly surprising a few decades ago. I’m getting a similar impression now from recent research in the field of Compressive Sensing, which ostensibly violates the Nyquist sampling limit, highlighting the immaturity of the general understanding of information-theory.
In my opinion, there’s nothing especially remarkable here other than the propensity to conflate the addition of noise to data, with the addition of “noise” (a stochastic element) to (search for) data.
This confusion appears to map very well onto the cybernetic distinction between intelligently knowing the answer and intelligently controlling for the answer.
A few posters might want to read up on Stochastic Resonance, which was surprisingly surprising a few decades ago. I’m getting a similar impression now from recent research in the field of Compressive Sensing, which ostensibly violates the Nyquist sampling limit, highlighting the immaturity of the general understanding of information-theory.
In my opinion, there’s nothing especially remarkable here other than the propensity to conflate the addition of noise to data, with the addition of “noise” (a stochastic element) to (search for) data.
This confusion appears to map very well onto the cybernetic distinction between intelligently knowing the answer and intelligently controlling for the answer.