Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D

MRT/CVM

1. MRT/CVM began to connect with TVM to realize automatic conversion and deployment, and improved the unified interface protocol to facilitate the subsequent ZKML design;

2. MRT implements the Symbol representation corresponding to RelayExpr and supports mutual conversion;

3. MRT implements the Calibrator at the operator level, and obtains the intermediate results of the model;

4. Built a Python Transformer framework based on Symbol representation, and the test passed FuseBatchnorm and other passes;

5. Researched and tested TVM from_mxnet, from_pytorch and other front-end APIs, and ran through TVM model/dataset import operations;

6. Correctness of CVM check operator, including CPU, FORMAL, and CUDA versions;

ZKRollUp

1. Front-end data compression to optimize loading speed;

2. ZkProver GPU adjusts the code, optimizes the data structure and tests;

Cortex Full Node

1. In the stage of model archiving and construction on the Cortex chain, the model data information is obtained from the cerebro api and tested;

2. TorrentFS solves the problem of unstable downloading and repackages the downloading function;

3. The Cortex official Remix editor is updated to version 0.8.15, link reference: https://cerebro.cortexlabs.ai/remix/#optimize=false;

Community Updates 👨‍👩‍👦‍👦

1. Zkmatrix Gitbook released

   https://cortex-blockchain.gitbook.io/zkmatrix/

2. The Cortex Labs Foundation participated in the ETHSANFRANCISCO 2022 hackathon and was shortlisted for the Top 10;

   https://twitter.com/CTXCBlockchain/status/1589571259595386880

3. "ZK Section 9 — ETHSANFRANCISCO 2022" technical document released;

4. Test the Cortex Wallet function;

5. Cortex new version browser for basic functional testing;

6. Organize Christmas NFT activities;

7. Browser multi-dimensional test research;

8. NFT community integral gameplay planning research;

9. Continue to collect, translate, and original in-depth related content, NFT and DeFi and other fields, and try to develop a new community and media content operation mode;

10. Continue to pay attention to popular projects in the market and analyze project logic and economic 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

| English | Korean | Chinese | Russian|Turkish

Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D

MRT/CVM

1. MRT/CVM began to connect with TVM to realize automatic conversion and deployment, and improved the unified interface protocol to facilitate the subsequent ZKML design;

2. MRT implements the Symbol representation corresponding to RelayExpr and supports mutual conversion;

3. MRT implements the Calibrator at the operator level, and obtains the intermediate results of the model;

4. Built a Python Transformer framework based on Symbol representation, and the test passed FuseBatchnorm and other passes;

5. Researched and tested TVM from_mxnet, from_pytorch and other front-end APIs, and ran through TVM model/dataset import operations;

6. Correctness of CVM check operator, including CPU, FORMAL, and CUDA versions;

ZKRollUp

1. Front-end data compression to optimize loading speed;

2. ZkProver GPU adjusts the code, optimizes the data structure and tests;

Cortex Full Node

1. In the stage of model archiving and construction on the Cortex chain, the model data information is obtained from the cerebro api and tested;

2. TorrentFS solves the problem of unstable downloading and repackages the downloading function;

3. The Cortex official Remix editor is updated to version 0.8.15, link reference: https://cerebro.cortexlabs.ai/remix/#optimize=false;

Community Updates 👨‍👩‍👦‍👦

1. Zkmatrix Gitbook released

   https://cortex-blockchain.gitbook.io/zkmatrix/

2. The Cortex Labs Foundation participated in the ETHSANFRANCISCO 2022 hackathon and was shortlisted for the Top 10;

   https://twitter.com/CTXCBlockchain/status/1589571259595386880

3. "ZK Section 9 — ETHSANFRANCISCO 2022" technical document released;

4. Test the Cortex Wallet function;

5. Cortex new version browser for basic functional testing;

6. Organize Christmas NFT activities;

7. Browser multi-dimensional test research;

8. NFT community integral gameplay planning research;

9. Continue to collect, translate, and original in-depth related content, NFT and DeFi and other fields, and try to develop a new community and media content operation mode;

10. Continue to pay attention to popular projects in the market and analyze project logic and economic 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

| English | Korean | Chinese | Russian|Turkish