让我们开始在@CTXCBlockchain 上构建模因币吧？ | Cortex Labs发布于币安广场

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让我们开始在@CTXCBlockchain 上构建模因币吧？

免责声明：含第三方意见，不构成财务建议，并且可能包含赞助内容。详见《条款和条件》。

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🚀 Cortex Project Updates #128 #OPML 1. Solved issues with Unicorn executing cvm: - Recompiled MIPS dynamic libraries and ELF executable. - Mapped file system to specific memory addresses. 2. Developed program test steps, rewrote compilation script, parsed C++ results from ELF file. 3. Deployed cvm-runtime to MLVM Unicorn for execution, obtaining checkpoint_final and investigating specific instructions. #ZkRollup 1. Implemented input across all circuits. 2. Used grand products for queue equality proof. 3. Sorted & deduplicated code decommit requests; added code decompressor for memory unpacking. 4. Processed log queue into specific queues, sorting L1Message logs and storage requests. 5. Built circuit for main VM. #CortexFullNode 1. Optimized prefetcher heap escape https://t.co/BeXBq0Iv5x 2. Reduced unnecessary JS bigint compilations https://t.co/LTOElTS3lj 3. Simplified MaxUint64 https://t.co/55MiFR2kOw 4. Fixed missing state when num is zero https://t.co/XW1MKm8XJm 5. Restructured dependencies on header

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We’re excited to announce that Cortex is joining the @CoinMarketCap community! #CMCcommunity https://coinmarketcap.com/currencies/cortex/

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Dear #CoinMarketCap, we would like to register one http://cortexlabs.ai emails to manage Cortex's self-reporting dashboard on CoinMarketCap.

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1/🚀 Cortex Project Updates #127🚀 #OPML 1️⃣ Completed MIPS instruction set compilation for cvm-runtime & implemented the test model. 2️⃣ Fixed MIPS dynamic library loading & adapted to tensor/data types of MLVM. 3️⃣ Modified memory layout & adjusted model reading format to struct + weights; implemented data reading/writing logic for specific memory addresses. 4️⃣ Adapted cvm-runtime model inference to support step functions. 5️⃣ Added the Unicorn debug tool.

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