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
Sahara AI: No unlocks or security incidents have occurred, investigation into abnormal market fluctuations is ongoing
CertiK: Approximately $127 million in confirmed losses from attacks, hacks, and scams in November
Data: Jeffrey Huang continues to increase his long positions in HYPE, with holdings surpassing 100,000 tokens
Trending news
MoreCrypto prices
More
