networks run on data

Each peer can learn much on their own but can learn much more as part of a network. The question becomes, which networks to join and how can we be sure the quality of predictions or simulations are getting better? beebee can help manage besearch cycles that will provide feedback on how a model is working for each peer. If a model gets better keep it, if not keep the current model. Through the process of DML, decentralized machine learning, model learning will seek to learn. Providing trust in the data to learn from comes from sampling and verifying entries in each peers coherence ledger.