Nesa launches a decentralized AI reputation system based on deep reinforcement learning
Foresight News reports that AI blockchain project Nesa has launched a decentralized AI reputation system based on deep reinforcement learning, aiming to help other decentralized AI networks address scalability challenges. The system is divided into three control loops: per-request routing, hot-swap and capacity rebalancing, and miner-level evolution. Through feedback learning, the system balances latency, cost, and utilization.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Data: If ETH falls below $2,886, the cumulative long liquidation intensity on major CEXs will reach $1.206 billions
All three major U.S. stock indexes closed higher, with Intel rising over 10%.
Trending news
MoreCrypto prices
More
