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!🔥
Subscribe to Cortex Labs
Subscribe to Cortex Labs
Share Dialog
Share Dialog
<100 subscribers
<100 subscribers
MRT/CVM
MRT has added support for the Detection model, with quantization already implemented for models such as Yolo, SSD, etc.
Implemented automatic Spliter/Merger algorithm logic to eliminate the problem of duplicates in segmented subgraphs (increased reference counting).
Added constant pass fusion for operators oneslike and zeroslike.
Added adaptation and quantization logic for operators shape of, reverse, maximum, and minimum.
Adapted Circom for the detection model, added implementation for operators like slice_like, repeat, tile, etc.
Conducted research on OPML technology and its implementation, exploring more possibilities for on-chain AI inference.
Implement a compression process for contract bytecode to reduce on-chain data consumption, and conduct compression testing.
Introduce StorageProcessor as an access layer to the PostgreSQL database, managing pools and transactions.
Implement the state's persistent storage layer based on the database (DB).
Utilize RocksDB to store some state-related data, serving as the storage for state during the VM execution process (enhanced speed).
Abstract StorageView, enabling the use of RocksDB, PostgreSQL, and in-memory storage as storage points, implementing ReadStorage and WriteStorage.
Fix the issue in the Metric exporter where metric data submission was not executed upon receiving a signal, and adjust the maximum retry attempts metric for the job processor, submitting the metric at the beginning of the job.
Add a simple implementation of Memory for the VM.
build: make linter emit output;
p2p/discover: add liveness check in collectTableNodes (#28686);
discard work submit to full channel;
cuckoo consensus test & avoid using block override;
infer mem/gas/opcodes table added;
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
MRT/CVM
MRT has added support for the Detection model, with quantization already implemented for models such as Yolo, SSD, etc.
Implemented automatic Spliter/Merger algorithm logic to eliminate the problem of duplicates in segmented subgraphs (increased reference counting).
Added constant pass fusion for operators oneslike and zeroslike.
Added adaptation and quantization logic for operators shape of, reverse, maximum, and minimum.
Adapted Circom for the detection model, added implementation for operators like slice_like, repeat, tile, etc.
Conducted research on OPML technology and its implementation, exploring more possibilities for on-chain AI inference.
Implement a compression process for contract bytecode to reduce on-chain data consumption, and conduct compression testing.
Introduce StorageProcessor as an access layer to the PostgreSQL database, managing pools and transactions.
Implement the state's persistent storage layer based on the database (DB).
Utilize RocksDB to store some state-related data, serving as the storage for state during the VM execution process (enhanced speed).
Abstract StorageView, enabling the use of RocksDB, PostgreSQL, and in-memory storage as storage points, implementing ReadStorage and WriteStorage.
Fix the issue in the Metric exporter where metric data submission was not executed upon receiving a signal, and adjust the maximum retry attempts metric for the job processor, submitting the metric at the beginning of the job.
Add a simple implementation of Memory for the VM.
build: make linter emit output;
p2p/discover: add liveness check in collectTableNodes (#28686);
discard work submit to full channel;
cuckoo consensus test & avoid using block override;
infer mem/gas/opcodes table added;
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