Yokohama Rubber has developed and begun full-scale operation of a proprietary generative AI system using RAG (retrieval-augmented generation), which searches various technical documents accumulated internally and presents responses based on their content. This new system reportedly accelerates and enhances tire development by providing rapid and accurate access to technical information necessary for decision-making during the tire development process, including material development.
Yokohama Rubber developed this new system to expand the practical environment of its proprietary HAICoLab AI utilization framework, which was established in October 2020. The company has previously developed AI systems that predict a rubber compound’s physical properties and tire characteristics, generate new rubber compounds, and support mold design, and is increasingly using data to create material and tire designs.
