Self-Healing Neural Networks Fix Model Drift Without Retraining

Researchers demonstrate a PyTorch technique that detects and corrects model drift in production using lightweight adapters, recovering 27.8% lost accuracy in real time without retraining or downtime. This addresses a critical challenge for deployed AI systems that degrade over time.