ML Consensus

Octra introduces a new type of consensus based on machine learning. 
We utilize actor nodes and support vector machine for load management, choosing a confirmation route based on the experience of the previous series of confirmations, validating results and ensuring the inability to intervene in the process.

ML-consensus allows to eliminate or limit proof-of-stake and centralization of validator nodes. furthermore, our lightweight client allows running a node on a Raspberry Pi or a smartphone. Octra is optimized for a large amount of validators, and is therefore inherently more decentralized and democratic than proof-of-stake chains.