Cortex Project Updates #100
Technical Updates 🤖
Machine-Learning(ML), CortexVirtual Machine(CVM) & Model RepresentationTool(MRT) R&D
1. ZkNode deletes the redundant hash cache in Merkle Tree, which greatly reduces the amount of data stored in the database;
2. ZkNode adds breakpoints, exits quickly and safely and saves the state;
3. ZkNode adds a more realistic transaction simulation and concurrently generates a test transaction function;
4. ZkNode separates Front API, State Keeper and Proof Server coupling functions, uses a database to maintain internal data state consistency, effectively reduces the number of open files, and fixes the problem of excessive file usage;
5. ZkNode fixes the database recovery function, including block size error, transaction address conversion error, etc.;
6. Added local checksum save task function in ZkProver client mode;
7. ZkProver GPU connection test network verification, the current version has stable performance, with an average speed increase of 3–4 times
Cortex Full Node
1. Cuckoo Consensus Engine: add develop document and extract sha3 module;
2. Fix dirty accounting size custom discovery UDP port;
Community Updates 👨👩👦👦
-Cortex Wallet upgrade & content polishing；
-Continue to monitor popular market ventures and examine project logic and tokenomic models；
-Cortex Wallet Bug Test Screening
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 |
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