Probably the most notable being down the DSP path (which the article metions). For example, a well written app under this scenario means that the errors basically average out over time as opposed to errors that blow out of proportion.Īnyways, I can think of a few good uses for this. I think there would also have to be a lot of analysis based on understanding how the variations add up and their cumulative effect. You see what I'm getting at? Computers don't really know that the small variation at the most significant bit is actually a huge variation. So perhaps then this idea sort of works when we are aggregating lots of small calculated numbers but then switch to a traditional chip to add them together. That said, how do we know if the variations are small? Only 1 bit can change a huge negative number into a huge positive number in a standard integer (Okay, I haven't looked at the bit layout of an integer lately but I think it's encoded like this. This could be important when time is more important than 100% accuracy. The article is right in that certain things don't need 100% accuracy and that small variations in the answers can yield very good results. It is an interesting idea but I think there would have to be a lot of research that goes into this and here's what I mean.

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