Self Healing

Self-healing systems aim to automatically detect and correct errors or failures, enhancing robustness and resilience in various applications. Current research focuses on leveraging AI, particularly large language models (LLMs) and neural networks, often incorporating techniques like PID control and graph neural networks, to achieve adaptive self-healing in software, telecommunication networks, and even deep reinforcement learning agents. This field is significant because it promises to improve the reliability and efficiency of complex systems, reducing downtime and maintenance costs across diverse sectors.