Production Incident
Production incidents, encompassing failures or unexpected events in operational systems, are a central concern across diverse fields, driving research into robust and efficient solutions. Current research focuses on improving model reliability and performance through techniques like ensemble learning, adversarial training, and the development of specialized guardrail models, often leveraging large language models (LLMs) and other deep learning architectures. These advancements aim to enhance the safety, efficiency, and sustainability of various production processes, from manufacturing and AI systems to autonomous vehicles and energy production, ultimately impacting both economic productivity and environmental responsibility.
Papers
Robot-printer for creating elements of technological equipment for the production of components of biofuel compositions
K. A. Bashmur, V. S. Tynchenko, V. V. Bukhtoyarov, M. V. Saramud
Choice of technology and evaluation of the production capabilities of a 3d printer robot for creating elements of experimental equipment for the production of biofuel components
K. A. Bashmur, V. S. Tynchenko, V. V. Bukhtoyarov, M. V. Saramud