Hello so i have made a new model type its has nothing to do with trasnformers and not to much with normal neural networks RAX is the name of this type of model i have made so im searching for help with this project maybe i can tell what its is about and how its works so each neuron has no weights only coordinates that are learning based on coordinates the distance between neuron 1 and neuron 2 is caluclated after know the distance between each neuron the distances are saved then the diffrent between old distance and new distance is calculated and based on that new coordinates for neuron is made if you intrested in this idea and wanna help my with working on this project dm my
Just submit your paper for publication. If you’re looking for collaborators, why not discuss it with your colleagues?