MATRIX AI NETWORK
BI-WEEKLY REPORT

Mainnet Performance

Validation node: 96

Mining node: 1122

New wallets added: 221

Project Update

Work with matured platforms for NFT trading – 99%

—Fixed a bug that could cause gas fee reading mistakes when minting NFTs on Ethereum-based platforms;

Focuses of the next phase:

—Supporting more non-mainstream NFT platforms;

—Carrying out follow-up upgrades and fine-tuning work.

An ecosystem of NFT for the trading of computing power, algorithmic models and data – 98%

—Developed and tested compatibility with external CPU computing power;

—Developed and tested compatibility with external GPU computing power;

—Designed algorithms for assigning workload weighting to external CPU and GPU computing power;

Focuses of the next phase:

—Upgrading to allow computing power from non-mining machines to join Matrix AI Network;

—Developing more ecosystem apps and partnerships based on this feature.

Generalized automatic machine learning – 94%

—Sent out invitations for phase one testing;

—Upgraded to support mainstream GPU hardware and added workload counting features;

—Optimised synchronicity and communication efficiency for distributing one task to more than six nodes simultaneously;

Focuses of the next phase:

—Launching MANTA round one testing for participants;

—Allowing mainstream GPU/CPU/TPU hardware to join MANTA to generate profits;

—Developing more ecosystem apps and partnerships that use MANTA for infrastructure;

—Supporting all types of universal machine learning algorithms.

Others

—The collaborative project with TBEA has been in a test run for nine months with great success, all major components delivered smoothly;

—Launched a new round of tests for the Android version of the new mobile wallet app;

—Drafted and conducted discussions on the new Roadmap.