Seele created "Neural Consensus Algorithm". It transforms the consensus problem into an asynchronous request, processing and sorting data in a large-scale environment based on "micro-real numbers". It will not only ensure safety and low energy consumption, but it will also ensure strong linear augmenting ability. The performance is linearly accelerated as the node size increases to satisfy business requirements.
