Abstract: In an apparatus and method for training artificial intelligence model for self-sensing actuator, the method includes acquiring a dataset from a shape memory alloy system by changing control parameters for controlling the shape memory alloy system, classifying the dataset into input data and ground truth data and labeling the dataset based on the ground truth data, and performing supervised training on the artificial intelligence model using the labeled dataset so that the artificial intelligence model outputs a generated force of a shape memory alloy with a specific shape or a length change of the shape memory alloy with the specific shape from the input data.

Abstract: The present application discloses a polypeptide assay system that includes a non-mammalian cell in a non-mammalian cell culture medium expressing a heterologous polypeptide that is either displayed on its cell surface such that the polypeptide is the predominant polypeptide displayed on the cell surface or the polypeptide is secreted, and a target mammalian cell that includes a reporter construct in a mammalian cell culture medium.