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. Tsinghua University, Computer Science.
B.E. Dalian University of Technology, Computer Science.
Cryptocurrency and Blockchain.
Waterhole IM backend architect.
Co-founder of Waterhole.io.
Miner Since 2015.
AI Expert on Acoustics.
Ph.D. University of Paris VI.
Lecturer in a national confidential academy.
17' ACM KDD Cup, 16' CCF Bigdata ML, Ctrip Forecasts, Kaggle Data Mining and Optimization Competition Top 3.
Kaggle World Rank 59/80K+.
Senior Undergraduate, AI Research Scientist.
University of Toronto, Canada, Computer Science.
Papers on NIPS, CVPR and ACL as the First Authorship.
AI Research Scientist.
Designer, Reviewer, Mentor at Udacity.
15' International Underwater Robot Contest First and Second Place.
Kaggle Dog Breed Identification Top 0.5%.
AI Research Scientist.
Ph.D. Candidate, Zhejiang University, Computer Science and Technology.
Taobao Dressing Collocation Algorithm First Stage Top 5%.
14' American College Mathematical Modeling Contest First Place.
AI Framework Research & Development Expert.
TFLearn Top 4 Contributor.
MXNet / TensorFlow / Paddlepaddle Contributor.
Investor of Bitfinex.
LP of Bitfund.
Venture Partner of Zhenfund.
Miner Since 2011.
Founding partner of World Financial Desk.
Inventor of public key cryptography ( Diffie-Hellman ).
2015 Turing Award winner.
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.