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

MRT/CVM

1. TVM/MRT set CVM Python dependent library, and export Symbol format to CVM-Runtime;

2. MRT repairs the precision test logic and formats the precision output style;

3. MRT adds Symbol to Circom compilation adaptation code;

4. CVM adjusts C API interface parameters;

ZkRollup

1. Realize the transaction verification of EIP-712;

2. State separation (part1 is provided to the front-end for fast update without calculating the hash, part2 calculates witness and root hash), stores it after the pending block mini-batch, updates executed-tx, account state in db..., and avoids the lag of front-end acquisition of data;

3. Adjust the committer logic in Mempool and core. Mempool checks the nonce of commit and the continuity of tx on l1 during execution (id increments);

4. Add State init process (used to initialize state keeper and witness generator);

5. Add RwLock to Merkle Tree implementation, change the performance of most methods, and realize smt thread safety and internal variability;

Cortex Full Node

1. terminate downloader at last;

2. Report the import stats before returning the various results;

3. all: use HTTP package to replace HTTP method names (#26535)

4. miner address validation improvement;

5. Update 1.10.38 stable version;

1. Cortex NFT Gallery Beta test

2. Cortex new explorer feature test

3. Cortex NFT Gallery guide writing

4. NFT Community planning

5. Continue to monitor popular market ventures and examine project logic and Web3, NFT & GameFi 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

| English | Korean | Chinese | Russian|Turkish

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

MRT/CVM

1. TVM/MRT set CVM Python dependent library, and export Symbol format to CVM-Runtime;

2. MRT repairs the precision test logic and formats the precision output style;

3. MRT adds Symbol to Circom compilation adaptation code;

4. CVM adjusts C API interface parameters;

ZkRollup

1. Realize the transaction verification of EIP-712;

2. State separation (part1 is provided to the front-end for fast update without calculating the hash, part2 calculates witness and root hash), stores it after the pending block mini-batch, updates executed-tx, account state in db..., and avoids the lag of front-end acquisition of data;

3. Adjust the committer logic in Mempool and core. Mempool checks the nonce of commit and the continuity of tx on l1 during execution (id increments);

4. Add State init process (used to initialize state keeper and witness generator);

5. Add RwLock to Merkle Tree implementation, change the performance of most methods, and realize smt thread safety and internal variability;

Cortex Full Node

1. terminate downloader at last;

2. Report the import stats before returning the various results;

3. all: use HTTP package to replace HTTP method names (#26535)

4. miner address validation improvement;

5. Update 1.10.38 stable version;

1. Cortex NFT Gallery Beta test

2. Cortex new explorer feature test

3. Cortex NFT Gallery guide writing

4. NFT Community planning

5. Continue to monitor popular market ventures and examine project logic and Web3, NFT & GameFi 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

| English | Korean | Chinese | Russian|Turkish