Cortex Project Updates #95
Technical Updates 🤖
Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D
1. MRT V3 model tuning, ResNet series model quantization accuracy optimization;
2. MRT-UI API document writing GRPC module and WEB module to improve the front-end interface logic function;
3. Train the stylegan network model of the NFT image set, and try to migrate the model to the fixed point on the chain;
ZkRollup
1. ZkProver completes the MPC initialization with a block size of [16,32,64], and uses Rust to complete the ZKP initialization parameter setting;
2. Add related documents of MPC setup process to facilitate the participation of paiticipant and coordinator;
3. Investigate Groth16, Plonk and other ZKP algorithms to find more general MPC initialization settings;
Cortex Full Node
1. Cuckoo Consensus Engine kecca256 Mock Debug, Regression Test;
2. Correction of full-node RPC documentation, repair of wrong API;
3. Full node internal/builder module optimization;
4. Added trie nodes and related unit tests to fix some logic problems;
5. Added POA genesis block signature length check;
Community Updates 👨👩👦👦
-Cortex Labs collaborates with MRT V3 model testing;
-The Cortex Labs team conducts continuous research in areas such as Web 3.0 and DAOs；
-Collect NFT image sets applicable to the stylegan network model；
-Continue to monitor popular market ventures and examine project logic and economic models.
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, 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!
TestNet
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