New AI Oracle version with FPGA implementation: From simulated mining with historic blockchain blocks to real-time pool mining with current blockchain blocks
Quantum Blockchain Technologies (AIM: QBT), the AIM-listed investment company focused on a disruptive R&D and investment programme within the blockchain sector, is pleased to announce a breakthrough achievement for its predictive Bitcoin Artificial Intelligence (“AI”) model mining tool.
This tool, known as Method C AI Oracle (“AI Oracle”), is now performing live Bitcoin mining of current blockchain blocks, (i.e., around block count 879,000, after Method C has been “retrained” to deal with current blockchain blocks).
The Company’s board of directors believe this is a significant milestone, since this proprietary technology has been used in trials to mine Bitcoin with a competitive advantage against the same hardware without the AI Oracle implementation. The material competitive advantage in mining enabled by the AI Oracle may be achieved either by (i) reducing the energy cost of mining by approximately 30%; or (ii), accelerating the mining speed at current energy consumption and costs with approximately a 30% greater hash rate.
Method C AI Oracle – Performance and Implementation
The AI Oracle achieves these material advantages through being able to predict the likelihood of an input to SHA-256 to produce a winning hash above a certain level of difficulty. Should the AI Oracle calculate that the current SHA-256 input will not be successful in finding the winning hash, it skips that calculation and moves on to the next input. In the Company’s announcement of 24 October 2024, it reported that irrelevant (or non-winning) SHA-256 computations were being avoided almost 50% of the time, but that performance result was obtained through lab tests simulating historic mining blocks, i.e., not real-time mining on the current blocks of the Bitcoin blockchain.
The Company has now “retrained” the AI Oracle to operate on current blocks of the bitcoin blockchain and it has completed work on a Field Programmable Gate Array (“FPGA”) implementation of the AI Oracle, as per the patent application filed by the Company (see announcement dated 15 January 2025 :“Implementation of Binary Decision Trees”) which is now mining current Bitcoin blockchain blocks and avoiding irrelevant SHA-256 computations approximately 30% of the time.
As a result of this improvement, QBT’s proprietary logic gate architecture implementation of AI Oracle has commenced mining in real-time with a Bitcoin mining pool, which is already demonstrating quantitative material advantages compared to the same real-time hardware mining without AI Oracle.
As the Company is deploying AI Oracle on limited hardware resources available to the Company at this time (i.e., an FPGA chip), the pool mined shares of Bitcoin are comparatively minimal but the same FPGA chip with the AI Oracle results in an approximate 30% advantage over an FPGA chip without the AI Oracle version.
In other words, had the AI Oracle been implemented on ASIC chips, the Company believes it would boost an ASIC chip’s mining performance by approximately 30%. As of today, QBT is using an FPGA, which has the hashing power of a very small fraction of an ASIC, but is still showing an approximately 30% improvement which is the Company’s key goal, mainly for validation and demonstrative purposes.
Following the filing of its new patent application referred to above, the Company is now in a position to demonstrate its FPGA-based live Bitcoin mining, via a mining pool, to potential clients who it anticipates primarily will be hardware manufacturers.
The board of directors currently believes that working in commercial partnership with a major hardware manufacturer via a licensing agreement, will be the most logical route to market, principally due to the cost benefits to QBT when transferring its disruptive technology from an FPGA to the most competitive ASIC in the market.
Francesco Gardin, CEO and Executive Chairman of QBT, commented, “Following almost three years of R&D efforts, the AI team working on Method C has delivered its first irrefutable result, with a new version of Method C AI Oracle, which can now be used to mine the current blockchain blocks in real-time with an approximate 30% improved performance. This has been made possible thanks to retraining the Method C model and to a very efficient hardware implementation of the AI Oracle, which forms the core of the “Implementation of Binary Decision Trees” patent application.
“We believe this has the potential to be a major breakthrough for the entire Bitcoin mining industry, as QBT has developed an AI Oracle which can either reduce the energy cost of mining or increase the speed of mining at current energy costs, by approximately 30%, which it can prove through live demonstrations.”
For further information please contact:
Quantum Blockchain Technologies Plc
Francesco Gardin, CEO and Executive Chairman +39 335 296573
