ZKML
2024-01-02 Publish [ZKML release 1.0.1] (https://github.com/CortexFoundation/tachikoma/commits/zkml-v1.0.1/)
In this release, we implemented the general ZKML framework and passed the mnist model for test.
2024-01-16 Publish fixed commits for ZKML
Fixed some classification models' quantization bugs, including mobilenet, squeezenet, etc.
ZKCVM
The Cortex team has been closely following the latest zkEVM technology, which is one of the goals in the ZK trilogy (zkTX -> zkVM -> zkML).
2024-02-27 We modified some codes based on the ZK-Sync source to adapt CVM blockchain, project are organized at (https://github.com/CortexFoundation/zkcvm-mono/tree/main). We started to research and benchmark more ZK-EVM solutions
2024-03-26 Pass the ZKEVM cpu zk-rollup process.
2024-05-14 The GPU proof generation code is fixed and test pass through.
OPML
Due to the ZKP memory consumption and long-time proof generation, we transformed to research and develop the OPML technology for ZKML project. The HyperOracle's OPML project is compatible with ZKML, The last ZK-Proof step, which aims to exchange the neccessary layer2 data with layer one blockchain, can be replaced with Optimistic Machine Learning method.
Until now, we have dived into the details of OPML and plan to migrate the core method to CortexLabs' CVM-Runtime project.
2024-05-21 The early process of mips VM compilation has been uploaded to [the CVMRuntime official project] (https://github.com/CortexFoundation/cvm-runtime/commits/mips/).
About Cortex 😇
Cortex’s main mission is to provide 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, and submit AI DApps (Artificial Intelligence Decentralized Applications).
Cortex is the only public blockchain that allows the execution of nontrivial AI algorithms on the blockchain. MainNet has launched. Go build!
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