Singluar computing have built a chip based on this tech, and deployed in a military UAV. It enabled tracking of objects(which ws impossible before due to power constraints), at 6400x the performance/power of other best known methods.

http://www.defensetechbriefs.com/component/content/article/1...

http://proceedings.spiedigitallibrary.org/proceeding.aspx?ar...

From the paper: "The hardware is designed to perform high dynamic range arithmetic with roughly 1% error per operation. Singular has developed and studied varied algorithms for producing high quality results despite the approximate hardware. These studies use a perfect simulation of the accelerator’s arithmetic. Tasks that have been explored include summing thousands of numbers without accumulating error, k-nearest neighbor classification (KNN), foreground/background separation using Gaussian mixture models, iterative reconstruction tomography, deblurring using the Richardson-Lucy deconvolution algorithm, FFTs, radar processing, neural net learning, and other tasks. Most of these algorithms need slight adaptations to prevent cumulative effects of the 1% error, but with those adaptations all perform as desired."