Ethereum brought us smart contracts on the blockchain. Whilst smart contracts do give blockchains the ability to handle scaled commercial activities, they require the users to pre-defined logics and rules to be executed. However, with Cortex, anyone can use Cortex chian to add AI algorithm models to their smart contracts and dapps.

Cortex aims to provide machine learning models on the blockchain where users can infer using smart contracts. At each inference, a full node synchronizes the model from the storage tier to local host will be executed. Then making an inference using Cortex’s virtual machine, or CVM, will synchronize the results to the whole network for consensus and then return the result. Every time a user initiates a transaction, executes a smart contract, or performs an intelligence inference, the user will need to pay a certain number of “Endorphin” tokens.

Cortex also seeks to create a machine learning platform where users can post tasks on the platform, collaborate on optimizing the models, or submit artificial intelligence-based decentralized apps. Researchers around the world will be able to upload well-trained corresponding data models to the storage layer of the Cortex public chain. One strong use case is hosting Kaggle-like data science and machine learning competitions that gathers world’s most elite people together and provide a collection of high-quality public datasets.

Simply put, Cortex wants the smart contract to actually be “smart” and do things that are not pre-determined by human coding. Also, it can serve as a platform to foster a healthy and open AI learning environment.

— Website — http://www.cortexlabs.ai/

— Twitter — https://twitter.com/CTXCBlockchain

— Facebook — https://www.facebook.com/CTXCBlockchain/

— Reddit — https://www.reddit.com/r/Cortex_Official/

— Medium — https://medium.com/cortexlabs/

— Telegram — https://t.me/CortexBlockchain

— Chinese Telegram — https://t.me/CortexLabsZh

— Korean Telegram — https://t.me/CortexLabsKorean