IPchain is a block chain product for the application in the field of intellectual property. Launched in October, 2016, after months of market analysis, technical solutions research, and communication with experts in the field of intellectual property, the technical basis of IP Chain was determined to be the block chain technology based on the model of UTXO, which is similar to Bitcoin network. Through adopting Consensus Mechanism of DPOC (one of the improved solutions of DPOS) and with reference to the transaction model for the characteristic of products in the field of intellectual property, IPC Chain aims at providing a flexible and rigorous solution of intellectual property block chain.
Consensus is the open-sourced, decentralized artificial intelligence platform, powered by native cryptocurrency, and built with the vision to improve the governance mechanisms at all levels of organizational structures: community, startup, non-profit, enterprise, city, county or the entire country. Once fully realized, Consensus AI will be able to offer automated, data-driven solutions to the most complex problems of our collective co-existence by modelling the potential outcomes of proposed changes. Consensus will help govern communities, societies and countries in a more cost efficient, transparent and progressive manner. This will be implemented via collective voting, initiatives proposal and funding, execution reporting and intelligent algorithms that will perform project analysis and model the outcomes with the efficiency, budgetary concerns, social, environmental and other factors under consideration. Mission The mission of Consensus is to achieve collective governance based on interdependence using advanced technologies. Abstract There are three main components to the Consensus system: the Sentient blockchain network built with verified nodes that allows running distributed machine learning, the Research Platform with extended data collection and modelling capabilities and the AI Advisor — a standalone system constantly monitoring and learning from the incoming available data that is used to make predictions. Later stages of development will include internally and externally built Dapps for various governance applications.