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 #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 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 ...
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 #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 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 ...
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) & Model RepresentationTool(MRT)
ZKML adjusts Trace API, fixes load/store issues, and adds force option;
ZKML adjusts the ShapeAdapter pass in ZKSection9, adds the function of eliminating Batch in CircomGenerator, and adapts to the circom deep learning library;
ZKML adjusted the circom deep learning library API and modified some calculation logic;
ZKML exports JSON data in CVM format, and adds operators such as conv and relu;
ZkRollup
Add parallel merkle tree, rescue hash, signature benchmark;
Account is used for test toolkit for other parts of the test (generate random accounts, account signatures and generate various transactions); Realize mint nft, withdraw nft, swap circuits, and realize the witness generation part for all types of tx;
The implementation of the STATE module is responsible for processing the execution of tx and priority_op, updating the L2 state and collecting the results of account update and fees.
Each tx type has passed the corresponding test (correct and wrong transaction parameters), and all transaction execution processes have been checked benchmark test;
Cortex Full Node
Use the newly typed atomics in the miner package common: fix json marshaller MixedcaseAddress (#26998)
Fix tx pool test and other bugs
Conduct the final stage of testing and preparation for the release of the Cortex NFT Gallery(Thalamus);
Planning Cortex NFT community & system
Continue to monitor popular market ventures and examine project logic and Web3, NFT & Defi Tokenomic models
Establish connections with several NFT artist
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) & Model RepresentationTool(MRT)
ZKML adjusts Trace API, fixes load/store issues, and adds force option;
ZKML adjusts the ShapeAdapter pass in ZKSection9, adds the function of eliminating Batch in CircomGenerator, and adapts to the circom deep learning library;
ZKML adjusted the circom deep learning library API and modified some calculation logic;
ZKML exports JSON data in CVM format, and adds operators such as conv and relu;
ZkRollup
Add parallel merkle tree, rescue hash, signature benchmark;
Account is used for test toolkit for other parts of the test (generate random accounts, account signatures and generate various transactions); Realize mint nft, withdraw nft, swap circuits, and realize the witness generation part for all types of tx;
The implementation of the STATE module is responsible for processing the execution of tx and priority_op, updating the L2 state and collecting the results of account update and fees.
Each tx type has passed the corresponding test (correct and wrong transaction parameters), and all transaction execution processes have been checked benchmark test;
Cortex Full Node
Use the newly typed atomics in the miner package common: fix json marshaller MixedcaseAddress (#26998)
Fix tx pool test and other bugs
Conduct the final stage of testing and preparation for the release of the Cortex NFT Gallery(Thalamus);
Planning Cortex NFT community & system
Continue to monitor popular market ventures and examine project logic and Web3, NFT & Defi Tokenomic models
Establish connections with several NFT artist
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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