1/Aggiornamenti Cortex n. 125 OPML 1️⃣ Ricercato il process | Cortex Labs su Binance Square

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1/Aggiornamenti Cortex n. 125
OPML
1️⃣ Ricercato il processo arbitrale canonico e analizzata la logica di elaborazione sottostante.
2️⃣ Analizzato il percorso tecnico di ora-io OPML: implementati calcoli MIPS tensor op con mlgo e preimage API con mlvm.
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🔻Cortex Project Updates #129 #OPML 1. Parse the PC instructions executed by cvm-runtime mips and obtain binary code; 2. Research and debug capstone decompilation procedure and no-memory overflow segmentation fault; 3. Use c++ compilation and execution to test golang code; 4. measure c++ compile flag: softFloat, hardFloat, -O3, -mfp32, etc. And analysis readelf file for cannon; 5. Analyze and compare segment headers; 6. Research FHE releated project and technique; #ZkRollup 1. add all the lookup tables used in the main VM circuit; 2. init the bootloader state; 3. add the register**,** add the witness oracle; 4. Refresh the state before each op execution: create a draft candidate for next VM state; 2. Implement the op circuit: impl add & sub opcode circuit**, **add the binop circuit**, **noop op circuit; 3. Basically complete the logic of all VM OPs (except for the ret part), test and merge into the cycle running circuit; 4. Study and merge the latest upstream code (some warehouse public archives, integrated), and prepare to gradually cherry pick the commits into the new fork integration library; #CortexNode 1. transaction index independent & fix(https://t.co/UMxDbBMYtE); 2. replace custom logic with bytes.HasPrefix(https://t.co/0FEcK5SLO0); 3. release 1.10.62 unstable(https://t.co/WeWaSeoN44); 4. release 1.10.61 stable(https://t.co/FOgJf3hK3K); 5. chore: remove redundant words in comment(

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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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