Nowadays, almost everyone in all over the world knows what blockchain is and its application to the crypto community. So in this advanced era, the use of a smart contract is really important for almost all of the project development. The Turing Complete (or known as computationally universal) smart contract method is commonly used these days. However, due to the overwhelming cost of idealized World Computer concept, a lot of the smart contracts limit their capability at the design stage and do not fully implement the potential of the Turing Complete computational method.

And the side effect of it, the developers are limited to write short programs with the limited access of resources. While the demands of the latest technology, the creating of common smart contracts depend on the performance gains of the applicable routines that can be applied with reasonable optimization and hardware support.

Cortex is the next revolutionary breakthrough to overcome the problems to satisfy the application of real-world A.I. by providing the state-of-the-art machine learning models on the blockchain. The user also can infer with the smart contract on the Cortex blockchain

According to the Cortex's mission, one of the project's goals is to implementing a machine-learning platform that allows users to post tasks on the platform, submit AI DApps (Artificial Intelligence Decentralized Applications).

By revising and extending the instruction set, Cortex adds A.I. algorithms support for smart contracts so that anyone can add A.I. to their smart contracts.

Cortex allows users to write machine-learning programs on the blockchain and submit interactions that are dependent upon other contracts.

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.