By revising and extending the instruction set, Cortex adds AI algorithms support for smart contracts so that anyone can add AI to their smart contracts. At the same time, Cortex has proposed an incentive mechanism for collective collaboration that allows anyone to submit and optimize models in Cortex, and the contributors to the models can be rewarded. Cortex is set to create many models that transcend human capabilities. At the same time, as a social experiment, we also look forward to the Artificial General Intelligence (AGI) being born on the Cortex.
|Current Price||0.2854943054 USD|
|Total raised||34,900,000 USD|
|Hard Cap||34,900,000 USD|
|Whitepaper||Click Here For View Whitepaper|
|Website||Click Here For Visit ICO Homepage|
Cortex Inference Consensus Criteria
Cortex, due to the nature of open source and competitive mechanisms, the best model as an intelligent agent will survive to enhance the intelligence level of the Blockchain network. Cortex’s main mission is to provide the state-of-the-art machine-learning models on the blockchain in which users can infer using smart contracts on the Cortex blockchain. One of Cortex’s goals also includes implementing a machine-learning platform that allows users to post tasks on the platform, submit AI DApps (Artificial Intelligence Decentralized Applications).
Smart AI Contract
Cortex allows users to write machine-learning programs on the blockchain and submit interactions that are dependent upon other contracts.
Cortex Virtual Machine
Cortex has its own Virtual Machine, called the Cortex Virtual Machine (CVM). The CVM instruction set is fully EVM compatible and has support for inference instructions.
Cortex Intelligent Inference Framework
Machine learning researchers around the world can upload well-trained corresponding data models to the storage layer. Other users who need this AI models can make inferences by using models and pay to their providers.
The goal of Cortex is to be a leader in the field of machine learning on blockchain. For new technologies that may be invented in the future, the Project Company will continue to innovate and integrate. This chapter describes some potential future work directions.
Cortex implements the blockchain of inferences consensus, however, typical scenarios for machine learning applications such as paramedical assistance, bioinformatic recognition, speech recognition, etc., require strict privacy protection mechanisms to protect data privacy and model intellectual property. Related technical directions are: Differential Privacy , Zero-Knowledge Proof , Homomorphic Encryption  and etc. The Project Company closely pays attention to the progress and integrates when new technologies become practically available.
Rewards for Model Provider
In contrast to the traditional blockchain, in which the reward for each packaging block is paid directly to the miners, to motivate developers to submit richer and better models, Endorphins invoking the contract, are not only allocated to miners who help package the block on full node, but also used to pay the model providers. The proportion of fees charged will be determined by the market gaming price, similar to the Ethereum Gas mechanism.
|Member||Ziqi Chen CEO|
Weiyang Wang CTO
Jia Tian Chief-Scientist
Yang Yang Blockchain Chief Engineer
Xiao Yan Chief Deep Learning Engineer
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