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The current challenge to execute machine learning programs on the conventional blockchain is that the virtual machine is extremely inefficient when running any nontrivial machine learning models. Therefore, most people think it is impossible to run AI on the blockchain.

Cortex is an open-source, peer-to-peer, decentralized blockchain that supports Artificial Intelligence (AI) models to be uploaded and executed on a distributed network. Cortex achieves AI democratization by providing an open-source AI platform where AI models can be easily integrated into smart contracts to create AI-enhanced decentralized applications (DApps).

ZkMatrix is a Layer 2 Solution for EVM compatible blockchain powered by Cortex Labs. It utilizes zkRollup technology to aggregate batch transitions on the side chain into one transaction on the main chain, which aims to expand transaction per second(TPS) and significantly reduce the Endorphin fee consumed by each transaction.

ZkMatrix inherits the security and consensus aspects of the main chain and focuses on executing the transaction performance. In the event of a cyber attack or malfunction, users can still restore the state of the side chain based on the data in the main chain.

It is divided into three modules: ZkWallet(front-end), ZkNode(side chain), and ZkProver. The process is as follows:

ZkWallet sends a transaction to ZkNode for aggregation, and the status changes from "queued" to "committed".

ZkProver generates circuit proof and submits an aggregated transaction to the main chain, and the status change to "verified".

ZkProver utilizes GPU and CPU chips to shorten the time required to generate Proof and supports multiple Provers in parallel on ZkNode. ZkMatrix can support transactions up to 2000 TPS and the entire process takes just 5 seconds. After the data is sent back to the main chain, to achieve maximum security, it is estimated a wait of 60 seconds for the data to be actually stored in the main chain.


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