Abstract: Model setting step sets a trained model acquired by machine learning of a correspondence relationship between an explanatory variable including information related to a material composition or a manufacturing condition of a target material, and an objective variable including information related to the material characteristics of the target material, and prediction step inputs an explanatory variable related to a target material whose material characteristics is to be predicted to the trained model set in the model setting step, and outputs an objective variable related to information of the explanatory variable, so as to predict the material characteristics of the target material to be predicted based on the objective variable.

Abstract: A document retrieval apparatus includes a processor which receives an input of a keyword, acquires an author's name and a document file from a digital document database which stores document files of text data obtained by performing a character recognition process with respect to document image data of handwritten documents, and names of authors who wrote the handwritten documents, references an associating keyword database which stores information associating the authors' names, keywords, and associating keywords, to acquire an associating keyword of the input keyword, from the received input keyword and the acquired author's name, searches the acquired document file, using the input keyword and the acquired associating keyword, and outputs a search result of the searching.

Abstract: A material design apparatus is provided that can derive an optimal solution of a design condition of a polymer that satisfies desired and required physical properties.

Abstract: A material design system includes an expert terminal capable of using a model learning interface for performing machine learning of a model that inputs and outputs a correspondence between a design condition and a material property value of the material to be designed, and a plurality of general-purpose terminals configured to use a material design interface for estimating the material property value based on the design condition or estimating the design condition based on the material property value, by using a learned model that is created by the expert terminal and is for the material to be designed.

Abstract: Technical knowledge which is difficult for the expert to express in words or numerical form is predicted and reproduced. A technical knowledge prediction apparatus according to one embodiment of the present invention includes a problem setting unit configured to automatically create and set a problem which includes a control factor of a manufacturing step, and a variable of the control factor, an answer acquiring unit configured to acquire an answer with respect to the problem and indicating a decision of the manufacturing step, a query acquiring unit configured to acquire a query, and a prediction output unit configured to predict and output an answer corresponding to the query acquired by the query acquiring unit, based on a corresponding relationship between the problem and the answer.

Abstract: A document retrieval apparatus includes an input reception unit configured to receive an input of a keyword, a document acquisition unit configured to acquire an author's name and a document file from a digital document database which stores document files of text data obtained by performing a character recognition process with respect to document image data of handwritten documents, and names of authors who wrote the handwritten documents, a keyword acquisition unit configured to reference an associating keyword database which stores information associating the authors' names, keywords, and associating keywords, and acquire an associating keyword of the input keyword, from the input keyword received by the input reception unit and the author's name acquired by the document acquisition unit, a document search unit configured to search the document file acquired by the document acquisition unit, using the input keyword and the acquired associating keyword, and a search result output unit configured to output a

Abstract: A material design device derives the optimal solution for a design condition satisfying a desired material property. A design condition setting unit for setting a specified range of a design condition of a material to be designed. A comprehensive prediction point generation unit generates a plurality of comprehensive prediction points within the specified range set by the design condition setting unit. A design condition-material property table stores data sets in which each point of the comprehensive prediction points is associated with a material property value calculated by inputting the comprehensive prediction points generated by the comprehensive prediction point generation unit, to a learned model. A required property setting unit sets a specified range of a required property of the material. A design condition extraction unit extracts, from the design condition-material property table, a data set satisfying the required property set by the required property setting unit.