Algos run the world. "In bioinformatics, BLAST (basic local alignment search tool) is an algorithm and program for comparing primary biological sequence inform

Algos run the world. "In bioinformatics, BLAST (basic local alignment search tool) is an algorithm and program for comparing primary biological sequence information, such as the amino-acid sequences of proteins or the nucleotides of DNA and/or RNA sequences." - could it be used to identify and group similar structures in NNs? (https://en.wikipedia.org/wiki/BLAST_(biotechnology) https://en.wikipedia.org/wiki/BLAST_(biotechnology)) I've been thinking of some kind of visual representation of weights, graphs etc. Images and evolving images as the substrate of the neural network. Pixels on a plane, planes affecting each other, activation recorded as brightness/color. Then we can use visual algorithms like SIFT (https://en.wikipedia.org/wiki/Scale-invariant_feature_transform https://en.wikipedia.org/wiki/Scale-invariant_feature_transf...) to do cool stuff and grow better and better graphic-based NNs.