Quantum Blockchain Technologies PLC reported that its Method C AI Oracle demonstrated a consistent advantage over traditional Bitcoin mining methods in recent tests. The company adapted the software for an unnamed ASIC manufacturer's mining rig, which required significant reconfiguration of the Oracle's learning models to align with the rig's operating system and architecture. This adaptation was necessary as the architecture differs materially from the Bitaxe Gamma platform where the technology was initially developed, according to the company.
Key Details
The initial model was presented to the manufacturer on July 28, with further updates planned as Quantum Blockchain gathers more data. The company did not disclose specific figures regarding the improvement over conventional mining practices. However, it noted that testing of a compressed version of the software has resulted in a significant increase in processing speed.
Background
Chief executive Francesco Gardin emphasized the need for the results to remain robust over extended periods before moving to live testing or commercial viability. The company's next steps include expanding training datasets, optimizing the model further, and conducting a live demonstration for the ASIC manufacturer.
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The advancements in Quantum Blockchain's AI technology could influence the broader cryptocurrency mining sector, particularly in terms of efficiency and cost-effectiveness. Increased processing speeds may lead to a competitive edge for miners utilizing this technology. Watch for updates on the performance metrics from the upcoming live demonstration and further developments in the ASIC adaptation process.