In 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).
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.
When a user initiates a transaction to a contract, the full node needs to execute the code of the smart contract. The difference between Cortex and ordinary smart contracts is that intelligent contracts may involve inference instructions, and then all nodes need to agree on the result of this inferred result.
Cortex also provides a submission interface for training off-chain, including the instruction-interpreting virtual machine for models. This will setup a bridge between computing power providers and algorithm providers for trading and collaboration.
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.
M.S. University of California, Santa Cruz, Machine Learning.
M.S. Carnegie Mellon University, Civil Engineering.
B.E. Tsinghua University, Civil Engineering.
CEO of Waterhole.io.
M.S. University of Chicago, Statistics.
B.E. Tsinghua University, Aerospace Engineering and Economics.
MXNet Contributor, awesome project.
Deep Learning, and Cryptography.
Winner of Fintech Hackathon, Dorahacks 2017.
Certified Financial Risk Manager.
M.S. Tsinghua University, Computer Science.
B.E. Dalian University of Technology, Computer Science.
Cryptocurrency and Blockchain.
Waterhole IM backend architect.
CTO of Waterhole.io.
B.E. Tsinghua University, Department of Computer Science.
AI & Blockchain researcher.
Quantum computing researcher.
Cryptocurrency quantitative trading.
M.S. Columbia University, Electrical Engineering.
B.S. Queen's University, Electrical Engineering.
B.A. Queens's University, Economics.
Organizer of Low Carbon Blockchain Forum - EcoMobility World Festival 2017.
Investor of Bitfinex.
LP of Bitfund.
Venture Partner of Zhenfund.
Founding partner of World Financial Desk.
Founder of FBG Capital.
CEO and Chairman of Beijing Kunlun Tech Co. (300418.SZ).
Retired CEO and Chairman of China Metallurgical Group Corporation (601618.SH) and (01618.HK).
President of DAGlabs.