Artificial Intelligence for Blockchains

BRIDGE is building an open access, tokenized, decentralized machine learning network to enable smart infrastructure built around a decentralized digital economy.

Stable assets generate blocks efficiently

BRIDGE on-chain scheme includes expanding block size, changing consensus algorithm, sharding, transferring storage and computation to off-chain, and designing mechanism to ensure the reliability and security of off-chain storage and computation is the core of off-chain extension scheme. The architecture supports full account interoperability, supports a complete operating system, and portability of existing source code brings significant mechanical improvements. BRIDGE uses a more efficient way to reduce energy consumption and improve operational efficiency.

What is BRIDGE

BRIDGE (BG for short) focuses on blockchain technology research. The operation team is composed of top financial experts from all over the world, including blockchain technicians and volunteers from all over the world. The platform is always open, allowing users to connect with the DAPP ecosystem. BRIDGE will focus on games, shopping and life services in the future. With the increasing number of registered users and holders and the realization of exchange realization, all participants will give BG more energy, and everyone can enjoy the value brought by BG. The network system will be further stabilized, and everyone will respect BG more and more.
Technical Focus
  • Machine Learning

    Blockchain can be used to decentralize federated learning algorithms so that the benefits of these collective machine learning models are shared across the multiple owners of data.

  • BRIDGE

    Simple development and deployment of autonomous agent populations that fulfill economic goals through strategy, communication, search and the exchange of value.

  • Cryptography

    Enhance the speed, efficiency and security of the blockchain using next generation multi-party computation (MPC) protocols for random beacons and aggregated signatures.