The Cortex team has overcome numerous technical challenges to devise, in the Cortex Virtual Machine (CVM), a mechanism for AI models to function within the blockchain ecosystem using a Graphics Processing Unit (GPU). This will allow for many developers to experiment with deep learning within blockchain technology, including AI development and advanced data science applications. Trained AI models can be uploaded to the Cortex network Cortex chain before being incorporated into various uses.
“Blockchain machine learning is an extremely complex endeavor due to the computational demands. With the Cortex Virtual Machine, we’ve achieved a breakthrough that brings the benefits of artificial intelligence to a wider audience. Although blockchain developers will be among the first beneficiaries of the Cortex mainnet, this is only the beginning. In time, we expect to develop a diverse range of use cases, all delivered on-chain,” said Cortex CEO Ziqi Chen.
These use cases will include generating credit reports for the financial industry, facilitating anti-fraud reporting for decentralized exchanges, insurance, and improve supply chain economics. Other potential applications include gaming, e-sports, and AI governance structures.
Explaining the rationale behind this latter concept, Ziqi Chen explains: “In the near future, we expect to see entire networks based on machine learning, decentralized decision making, malicious behavior detection, smart resource allocation, and much more. These are challenges that all intersect with crypto networks, where having trained AI models that are accessible on-chain will prove to be extremely valuable.”