Abstract: A display device includes processing circuitry configured to acquire data of plural pieces of equipment installed in a facility, carry out image recognition of drawing data drawing the equipment disposed in the facility as a component and, based on a result of the image recognition, store, in a storage, a correspondence relation between each of the equipment installed in the facility and the component in the drawing data, and generate an image including the component corresponding to the equipment disposed on the drawing data by using the drawing data and the correspondence relation stored in the storage.

Abstract: A learning device includes processing circuitry configured to acquire a plurality of pieces of data, input the plurality of pieces of data acquired by the acquisition unit to a model as input data, and when obtaining output data output from the model, calculate a loss of the model based on the output data and a correct answer data, repeat update processing of updating weight of the model in accordance with a loss each time the first calculation unit calculates the loss, calculate a value contributing to interpretability of the model, and end the update processing when the loss calculated by the first calculation unit and the value calculated by the second calculation unit satisfy a predetermined condition.

Abstract: An information processing device includes processing circuitry configured to acquire a plurality of pieces of data, input the pieces of data to a model as input data, and in a case of obtaining output data output from the model, calculate an importance of each component of the input data with respect to the output data based on the input data and the output data, acquire a binding coefficient indicating a relevance among components of the input data, calculate a bound importance obtained by applying the binding coefficient to the importance, and create information indicating the bound importance of each input item.

Abstract: An information processing device includes processing circuitry configured to obtain a plurality of sets of data related to a processing target, group relationships among the sets of data that are obtained, based on group information set in advance, calculate degrees of importance indicating strengths of cause-and-effect relationships among sets of data included in each group, and calculate, based on the degrees of importance, estimation values indicating the cause-and-effect relationships among sets of data.

Abstract: A learning device includes processing circuitry configured to collect a plurality of data, calculate, when inputting the plurality of data as input data to a model and obtaining output data that is output from the model, an attribution that is a degree of contribution of each element of the input data to the output data, based on the input data and the output data, and apply a restriction on the attribution thereto and learn the model.