Built to Last: AI Models and the Matrix AI Marketplace

AI Model Challenges

The development of AI is largely a matter of our ability to scale the application of AI models. In the current environment, two major issues pose a threat to AI model development. First is the ever-increasing difficulty of training AI models. This is largely due to high barriers to entry in the form of high computing power requirements and unfavorable hardware and software conditions. Second is a poorly motivated developer community following years of ineffective intellectual property rights (IPR) protection.

Matrix AI Marketplace

Accurate attribution is a necessary and fundamental attribute enabling the establishment of the Matrix AI Marketplace. Each time an AI model is accessed by a user or application, a transaction will be recorded on the Matrix blockchain. The Matrix AI Network blockchain’s immutable ledger ensures that data scientists will be fairly compensated each time their model is accessed. Data scientists are also provided with a complete status record of a model’s usage. This provides valuable feedback to the model creator and allows for convenient future refinements.

Matrix 2.0

Matrix 2.0 combines Matrix 1.0’s opensource blockchain, a data chain, cloud-fog-terminal storage, and a blockchain operating system. It is being designed to support the following features:

  1. Big data transactions with improved data usage efficiency
  2. Enterprise-grade data sharing applications
  3. Collaboration and profit splits opportunities relating to big data generation, modeling and applications
  1. Orchestration of tasks and distributed compute
  2. Management of compute resources
  3. Privacy preserving cloud and distributed storage
  4. Secure routing network
  5. Secure mechanisms for user access and distributed management

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Matrix AI Network

Matrix AI Network

Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain. Website: www.matrix.io Telegram: t.me/matrixainetwork