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.