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 ...
Share Dialog
Share Dialog
First decentralized world computer capable of running AI 🤖 and AI-powered Dapps ⚒. MainNet is out. Go #BUILD!🔥

Subscribe to Cortex Labs

Subscribe to Cortex Labs
<100 subscribers
<100 subscribers
Adjust the Trace API interface, encapsulate the transform pass, and add fuse, calibrate, quantize and export methods;
Trace API adds dataset, statistic binding, and accuracy eval interface;
circom adapts alexnet, dense, repairs padding shape, concat operator and other issues;
Fix dropout + tuplegetitem tvm running error, fix use too much shared data video memory error;
ZKML supports shufflenet, densenet, vgg, squeezenet, and the accuracy error of the original floating point model is 1%~2%;
Implement data reading and modification in the memory and storage parts of the VM;
Perform different data processing according to different Operand types (register, stack, code area, etc.);
Implement the basic processing flow of a VM cycle: fetch, decode, and execute;
Implement the specific logic of basic arithmetic instructions (addition, subtraction, multiplication and division), binary operations, shift operations, vm context operations and pointer operations;
cmd/evm: fix some issues with the evm run command (#28109);
trie: add getter for preimage store in trie.Database (#28155);
cmd/devp2p: use bootnodes as crawl input (#28139);
cmd/geth, internal/flags: print envvar config source and bad names (#28119);
metrics: add support for enabling metrics from env vars (#28118);
R&D on cross-chain bridge ecosystem;
Assist CVM in testing;
Collaboration with several NFT Artists;
Continue to monitor popular market ventures and examine project logic and Web3, NFT & Defi Tokenomic models
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
Adjust the Trace API interface, encapsulate the transform pass, and add fuse, calibrate, quantize and export methods;
Trace API adds dataset, statistic binding, and accuracy eval interface;
circom adapts alexnet, dense, repairs padding shape, concat operator and other issues;
Fix dropout + tuplegetitem tvm running error, fix use too much shared data video memory error;
ZKML supports shufflenet, densenet, vgg, squeezenet, and the accuracy error of the original floating point model is 1%~2%;
Implement data reading and modification in the memory and storage parts of the VM;
Perform different data processing according to different Operand types (register, stack, code area, etc.);
Implement the basic processing flow of a VM cycle: fetch, decode, and execute;
Implement the specific logic of basic arithmetic instructions (addition, subtraction, multiplication and division), binary operations, shift operations, vm context operations and pointer operations;
cmd/evm: fix some issues with the evm run command (#28109);
trie: add getter for preimage store in trie.Database (#28155);
cmd/devp2p: use bootnodes as crawl input (#28139);
cmd/geth, internal/flags: print envvar config source and bad names (#28119);
metrics: add support for enabling metrics from env vars (#28118);
R&D on cross-chain bridge ecosystem;
Assist CVM in testing;
Collaboration with several NFT Artists;
Continue to monitor popular market ventures and examine project logic and Web3, NFT & Defi Tokenomic models
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
No activity yet