|
If you train AI with enough data points?, absolutely. Given enough (granted thats a huge ask BTW, "enough"), AI simply finds patterns in data required to represent an average of that data to predict and fill in missing data in future examples, in many cases with real time relearning to improve accuracy, the more data, the more accurate it is. Processes like deconvolution (given enough data) actually become part of the developed learning, even though its not explicitly coded. The natural (as in nature that is) effects in astro like seeing are consistent variables effects that given enough data are somewhat predictable (like convolution) . If AI is also given sharp examples, this is very powerfull, to analyse the difference between blurred and sharp images, to learn the difference and apply corrections.
|