Cortex Project Updates #121
Technical Updates π€Machine-Learning(ML), CortexVirtual Machine(CVM)Complete the function of coco, voc, cifar10 dataset loading;circom generator RightShift and MulScalar parameter alignment. Type annotations, Symbol type confusion fixes;Generate graph optimization, lose invalid nodes after topological sorting. scalar is integrated into op as an attribute, the original parameter is still output to input.json, fix circom compilation repair;Increase NLP model training, long sequence numerical pr...
Cortex Project Updates #126
ZKML2024-01-02 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.ZKCVMThe Cortex team has been closely following the latest zkEVM technology, which is one of the goals in the ZK trilogy (zkTX -> zkVM -> zkML). 2024-0...
Cortex Project Updates #111
Technical Updates π€Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D MRT/CVMMRT updated the accuracy test code, adjusted and tested the model output results of the sampling dataAdjust the parameter setting of Calibrate Pass: absmax, fix the problem of FuseBatchnormRefactored the Quantiza Pass code and fixed the Infer Precision issueFixed the FixPoint Infer Type problem and added subgraph verification functionThe model parameters are adjusted to Int8, which ...
First decentralized world computer capable of running AI π€ and AI-powered Dapps β. MainNet is out. Go #BUILD!π₯
Cortex Project Updates #121
Technical Updates π€Machine-Learning(ML), CortexVirtual Machine(CVM)Complete the function of coco, voc, cifar10 dataset loading;circom generator RightShift and MulScalar parameter alignment. Type annotations, Symbol type confusion fixes;Generate graph optimization, lose invalid nodes after topological sorting. scalar is integrated into op as an attribute, the original parameter is still output to input.json, fix circom compilation repair;Increase NLP model training, long sequence numerical pr...
Cortex Project Updates #126
ZKML2024-01-02 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.ZKCVMThe Cortex team has been closely following the latest zkEVM technology, which is one of the goals in the ZK trilogy (zkTX -> zkVM -> zkML). 2024-0...
Cortex Project Updates #111
Technical Updates π€Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D MRT/CVMMRT updated the accuracy test code, adjusted and tested the model output results of the sampling dataAdjust the parameter setting of Calibrate Pass: absmax, fix the problem of FuseBatchnormRefactored the Quantiza Pass code and fixed the Infer Precision issueFixed the FixPoint Infer Type problem and added subgraph verification functionThe model parameters are adjusted to Int8, which ...
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First decentralized world computer capable of running AI π€ and AI-powered Dapps β. MainNet is out. Go #BUILD!π₯

*Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D
ZkRollup
ZKMatrix adjusts the wallet plug-in logic and interfaces display;
ZkNode optimizes RPC link logic to increase stability;
The ZK Section 9 project participated in ETHSanFrancisco 2022, won 3 awards including Finalist and open-sourced the entry code: https://github.com/zk-ml/uchikoma/tree/ethsf-2022;
ZKML research runs through PyTorch training, TVM IR analysis, Circom translator, and other processes.
Cortex Full Node
Cortex archives the model on the chain set the FTP link of the model, and cooperates with the model NFT to work;
Update P2P discover: improve discv5 NODES response packing;
Update P2P node: implement a per-source timeout in FairMix;
Torrent FS connections adjust;
Update boot nodes and reset max peers;
Fix native tracer, tracker and dependencies.
Continue to monitor popular market ventures and examine project logic and Web3, NFT & GameFi Tokenomic models;
Tested the ZKMatrix wallet plug-in function;
NFT material arrangement;
Cortex explorer multi-dimensional testing & research
NFT community points gameplay planning & research
About Cortex π
Cortexβs 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 Cortexβs 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!
TestNet
| Block Explorer β Cerebro| Mining Pool | Remix Editor | Software | ZkMatrix
Social Media
| Website | GitHub | Twitter | Facebook | Reddit | Kakao | Mail | Discord
Telegram Groups

*Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D
ZkRollup
ZKMatrix adjusts the wallet plug-in logic and interfaces display;
ZkNode optimizes RPC link logic to increase stability;
The ZK Section 9 project participated in ETHSanFrancisco 2022, won 3 awards including Finalist and open-sourced the entry code: https://github.com/zk-ml/uchikoma/tree/ethsf-2022;
ZKML research runs through PyTorch training, TVM IR analysis, Circom translator, and other processes.
Cortex Full Node
Cortex archives the model on the chain set the FTP link of the model, and cooperates with the model NFT to work;
Update P2P discover: improve discv5 NODES response packing;
Update P2P node: implement a per-source timeout in FairMix;
Torrent FS connections adjust;
Update boot nodes and reset max peers;
Fix native tracer, tracker and dependencies.
Continue to monitor popular market ventures and examine project logic and Web3, NFT & GameFi Tokenomic models;
Tested the ZKMatrix wallet plug-in function;
NFT material arrangement;
Cortex explorer multi-dimensional testing & research
NFT community points gameplay planning & research
About Cortex π
Cortexβs 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 Cortexβs 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!
TestNet
| Block Explorer β Cerebro| Mining Pool | Remix Editor | Software | ZkMatrix
Social Media
| Website | GitHub | Twitter | Facebook | Reddit | Kakao | Mail | Discord
Telegram Groups

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