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 ...
First decentralized world computer capable of running AI π€ and AI-powered Dapps β. MainNet is out. Go #BUILD!π₯

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Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D
MRT & CVM
MRT test ONNX backend model conversion and quantization;
ZkRollup
ZkMatrix update the front-end operation logic, interactive functions and display interface, and adapt to the mobile terminal
CortexLabs partners with ETHF, building ZkMatrix for them
ZkProver GPU version test is stable, and the long-running memory leak problem is solved
ZkProver has improved compilation options to support 10, 20 and 30 series NVIDIA graphics cards
ZkML research, study circom language, and try to implement quantized operator
Cortex Full Node
Cortex storage nas4 network released;
Full node P2p network update;
Bootnode & Download test fix;
Update dependency libraries and release stable version 1.10.34;
Layer2 research
Cortex explorer multi-dimensional testing & research
NFT community points gameplay planning & research
Continue to monitor popular market ventures and examine project logic and Web3, NFT & GameFi Tokenomic models
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
MRT & CVM
MRT test ONNX backend model conversion and quantization;
ZkRollup
ZkMatrix update the front-end operation logic, interactive functions and display interface, and adapt to the mobile terminal
CortexLabs partners with ETHF, building ZkMatrix for them
ZkProver GPU version test is stable, and the long-running memory leak problem is solved
ZkProver has improved compilation options to support 10, 20 and 30 series NVIDIA graphics cards
ZkML research, study circom language, and try to implement quantized operator
Cortex Full Node
Cortex storage nas4 network released;
Full node P2p network update;
Bootnode & Download test fix;
Update dependency libraries and release stable version 1.10.34;
Layer2 research
Cortex explorer multi-dimensional testing & research
NFT community points gameplay planning & research
Continue to monitor popular market ventures and examine project logic and Web3, NFT & GameFi Tokenomic models
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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