Brittle Fracture

Brittle fracture research investigates the unexpected failures of systems under seemingly minor perturbations, encompassing diverse fields from material science and engineering to artificial intelligence. Current research focuses on identifying and mitigating this fragility across various models, including large language models, image generation systems, and online algorithms, often employing techniques like data augmentation, adversarial attacks, and transfer learning to assess and improve robustness. Understanding and addressing brittleness is crucial for enhancing the reliability and safety of complex systems, from ensuring the integrity of physical structures to building more trustworthy and resilient AI.