Cortex LabsCortex 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 LabsCortex 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 ...
Cortex LabsCortex Project Updates #107
Technical Updates 🤖Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D MRT & CVMMRT test ONNX backend model conversion and quantization;ZkRollupZkMatrix update the front-end operation logic, interactive functions and display interface, and adapt to the mobile terminalCortexLabs partners with ETHF, building ZkMatrix for themZkProver GPU version test is stable, and the long-running memory leak problem is solvedZkProver has improved compilation options to suppor...
First decentralized world computer capable of running AI 🤖 and AI-powered Dapps ⚒. MainNet is out. Go #BUILD!🔥
Cortex LabsCortex 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 LabsCortex 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 ...
Cortex LabsCortex Project Updates #107
Technical Updates 🤖Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D MRT & CVMMRT test ONNX backend model conversion and quantization;ZkRollupZkMatrix update the front-end operation logic, interactive functions and display interface, and adapt to the mobile terminalCortexLabs partners with ETHF, building ZkMatrix for themZkProver GPU version test is stable, and the long-running memory leak problem is solvedZkProver has improved compilation options to suppor...
First decentralized world computer capable of running AI 🤖 and AI-powered Dapps ⚒. MainNet is out. Go #BUILD!🔥
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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.
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.
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!
TestNet
| Block Explorer — Cerebro| Mining Pool | Remix Editor | Software | ZkMatrix
Social Media
| Website | GitHub | Twitter | Facebook | Reddit | Kakao | Mail | Discord
Telegram Groups
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.
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.
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!
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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