Failure Mode

Failure mode analysis focuses on identifying and understanding how systems or processes can fail, aiming to improve reliability and safety. Current research emphasizes developing methods to predict and mitigate failures across diverse domains, including manufacturing, AI systems, and material science, employing techniques like reinforcement learning, Bayesian inference, and deep learning models (e.g., Support Vector Machines, physics-informed neural networks). This work is crucial for enhancing the robustness and trustworthiness of complex systems, impacting fields ranging from industrial automation and healthcare to the development of safe and reliable AI.