Cortex Project Updates #121
Technical Updates 🤖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 🤖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 🤖 and AI-powered Dapps ⚒. MainNet is out. Go #BUILD!🔥
Cortex Project Updates #121
Technical Updates 🤖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 🤖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 🤖 and AI-powered Dapps ⚒. MainNet is out. Go #BUILD!🔥

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Machine-Learning(ML), CortexVirtual Machine(CVM)
MRT adds BN + Dense, and quantitative support for BN equivalent conversion;
MRT adds Dropout support and automatically fuse TupleGetItem;
Fix the symbol name problem: cause circom code compilation error (including '%', '.', etc. cause the variable name to be ambiguous during compilation);
MRT organizes existing work, codes, deletes invalid codes, writes documents, including TEST environment preparation, running scripts and reference links;
MRT already supports OP: nn.adaptive_avg_pool2d, TupleGetItem, nn.batch_norm, add, nn.bias_add, var, nn.dense, nn.conv2d, nn.max_pool2d, reshape, nn.relu, squeeze, nn.dropout;
ZkRollup
Generate all vk (exodus key, block key, recursive key) and generate the corresponding contract vk;
Zkx-contracts: plonk core, governance, verifier (finally divided into two separate verifiers, contract size limit);
Zkx-contracts: gatekeeper management contract upgrade, implement zkx main contract (main + additional part), add zkx NFT factory and forced exit contract, complete hardhat script to read conf and deploy contract;
Cortex Full Node
core/state/snapshot: check difflayer staleness early (#27255);
rpc: websocket should respect the HTTP_PROXY by default;
Updated MRT docs
Cortex NFT Gallery's(Thalamus) final internal testing is ongoing
Continue to monitor popular market ventures and examine project logic and Web3, NFT & Defi Tokenomic models
Connecting several NFT artists for collabs
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!
TestNet
| Block Explorer — 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)
MRT adds BN + Dense, and quantitative support for BN equivalent conversion;
MRT adds Dropout support and automatically fuse TupleGetItem;
Fix the symbol name problem: cause circom code compilation error (including '%', '.', etc. cause the variable name to be ambiguous during compilation);
MRT organizes existing work, codes, deletes invalid codes, writes documents, including TEST environment preparation, running scripts and reference links;
MRT already supports OP: nn.adaptive_avg_pool2d, TupleGetItem, nn.batch_norm, add, nn.bias_add, var, nn.dense, nn.conv2d, nn.max_pool2d, reshape, nn.relu, squeeze, nn.dropout;
ZkRollup
Generate all vk (exodus key, block key, recursive key) and generate the corresponding contract vk;
Zkx-contracts: plonk core, governance, verifier (finally divided into two separate verifiers, contract size limit);
Zkx-contracts: gatekeeper management contract upgrade, implement zkx main contract (main + additional part), add zkx NFT factory and forced exit contract, complete hardhat script to read conf and deploy contract;
Cortex Full Node
core/state/snapshot: check difflayer staleness early (#27255);
rpc: websocket should respect the HTTP_PROXY by default;
Updated MRT docs
Cortex NFT Gallery's(Thalamus) final internal testing is ongoing
Continue to monitor popular market ventures and examine project logic and Web3, NFT & Defi Tokenomic models
Connecting several NFT artists for collabs
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!
TestNet
| Block Explorer — Cerebro| Mining Pool | Remix Editor | Software | ZkMatrix
Social Media
| Website | GitHub | Twitter | Facebook | Reddit | Kakao | Mail | Discord
Telegram Groups
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