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!🔥
Machine-Learning(ML), CortexVirtual Machine(CVM)
ZKML optimizes ResNet model accuracy, improving accuracy by 14%
ZKML adjusts the Trace API and adds interfaces for data set binding, preprocessing, and postprocessing information.
ZKML completes the data set ImageNet, coco and other interfaces, and downloads more data sets
ZKML investigates ezkl, runs through the process and compares ZKML Circom benchmark performance
Implementing the opcode of zkcvm
Try to implement the execution layer of zkcvm (modify consensus, block generation, smt, etc.)
Investigate and run through the new poseidon hash implementation and poseidon-hash circuit in halo2
Research and follow up on the latest zkevm development (cariovm, fuelvm, syncvm, midenvm)
OPCode that implements zkcvm
core/rawdb: allocate database keys with explicit size to avoid slice
core: ensure txindex will be triggered at least once (#27847)
ignore genesis block on importChain
trie: reduce allocs in recHash (#27770)
all: update golang/x/ext and fix slice sorting fallout (#27909)
R&D on cross-chain bridge ecosystem;
Compiling the current ZKML project R&D report;
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
Machine-Learning(ML), CortexVirtual Machine(CVM)
ZKML optimizes ResNet model accuracy, improving accuracy by 14%
ZKML adjusts the Trace API and adds interfaces for data set binding, preprocessing, and postprocessing information.
ZKML completes the data set ImageNet, coco and other interfaces, and downloads more data sets
ZKML investigates ezkl, runs through the process and compares ZKML Circom benchmark performance
Implementing the opcode of zkcvm
Try to implement the execution layer of zkcvm (modify consensus, block generation, smt, etc.)
Investigate and run through the new poseidon hash implementation and poseidon-hash circuit in halo2
Research and follow up on the latest zkevm development (cariovm, fuelvm, syncvm, midenvm)
OPCode that implements zkcvm
core/rawdb: allocate database keys with explicit size to avoid slice
core: ensure txindex will be triggered at least once (#27847)
ignore genesis block on importChain
trie: reduce allocs in recHash (#27770)
all: update golang/x/ext and fix slice sorting fallout (#27909)
R&D on cross-chain bridge ecosystem;
Compiling the current ZKML project R&D report;
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
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 ...
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First decentralized world computer capable of running AI 🤖 and AI-powered Dapps ⚒. MainNet is out. Go #BUILD!🔥
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