Abstract: An information processing device includes a communication unit that acquires first image data in which an observation value observed at a time t is used as a pixel value and a learning processing unit that generates second image data in which an observation value predicted to be observed at a time t+n after the time t is used as a pixel value from the first image data acquired by the acquiring unit based on a learning model obtained by machine learning using the first image data, in which the machine learning occurs based on a comparison of the first image data in which an observation value observed at a target time is used as a pixel value and the second image data in which an observation value predicted to be observed at the target time is used as a pixel value.

Abstract: A non-transitory computer-readable recording medium includes instructions that cause a computer to execute a process that includes receiving, from a server of a second provider that provides a service for supporting a delivery of a content performed by a first provider, encrypted information along with the content. The first provider encrypts information on the service to obtain the encrypted information. The process also includes attempting decoding the encrypted information, which is received in the receiving, by using a decoding key that is provided by the first provider and determining reliability of the service based on a decoded result in the decoding.

Abstract: An authentication apparatus according to the present application includes an acquiring unit, a first specifying unit, a second specifying unit, and an authentication unit. The acquiring unit acquires context information on a target user who becomes a target for authentication. The first specifying unit specifies a belonging cluster based on information related to a plurality of cluster groups and the context information on the target user, in each of the plurality of the cluster groups. The second specifying unit specifies, for each belonging cluster based on a classification model used to specify a predetermined candidate user in the belonging cluster specified by the first specifying unit, a candidate user, in a partial candidate user group that belongs to the belonging cluster, who satisfies a predetermined condition. The authentication unit authenticates the target user based on information related to the candidate user specified by the second specifying unit.

Abstract: An information processing device according to the present application includes an extraction unit and a subsequent stage generation unit. The extraction unit extracts a last conversation of a feedback utterance estimated to indicate a predetermined reaction of a second utterance subject relative to an utterance made by a first utterance subject, from a set of a plurality of conversations, based on a score assigned to the feedback utterance. The subsequent stage generation unit generates a subsequent stage classifier for deriving an index indicating a category of an unknown conversation, based on the last conversation extracted by the extraction unit.

Abstract: A voice extraction device according to the present invention includes a formation unit, an acquisition unit, an emphasis unit, a generation unit, and a selection unit. The formation unit forms directivity through beam-forming processing for each microphone in a microphone array including a plurality of microphones that form a plurality of channels. The acquisition unit acquires an observation signal that is a signal of voice received by each of the channels. The emphasis unit generates an emphasized signal by emphasizing the observation signal in accordance with the directivity formed by the formation unit. The generation unit generates, for each channel, frequency distribution of amplitude of the emphasized signal generated by the emphasis unit. The selection unit selects a channel corresponding to a voice signal used for voice recognition from among the channels based on the frequency distribution corresponding to the respective channels generated by the generation unit.

Abstract: An inference device disclosed herein includes an identifying unit, and an inferring unit. The identifying unit identifies a set of a predetermined phenomenon, an effect having a causal relation with the predetermined phenomenon, and a polarity of the effect, from concept information in which a phenomenon, an effect having a causal relation with the phenomenon, a polarity to be an indicator of advantages and disadvantages caused by the effect to a user. The inferring unit infers an effect caused when the predetermined phenomenon occurs, and advantages and disadvantages caused by the effect based on the set identified by the identifying unit.

Abstract: An information processing apparatus discloses herein includes an acquiring unit and an estimating unit. The acquiring unit acquires a plurality of pieces of identity information including a keyword based on an operation performed by a user. The estimating unit estimates an age group of the user based on the plurality of pieces of identity information acquired by the acquiring unit.

Abstract: A creating device according to the present application includes an acquiring unit, and a creating unit. The acquiring unit acquires a plurality of pieces of triple information indicating a relationship related to three types of elements. The creating unit creates, from among the pieces of the triple information acquired by the acquiring unit, association information that associates a triple information group having a predetermined relationship related to the three types of elements.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a notification unit. The acquiring unit acquires riding position information related to a position of a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtual set. The notification unit notifies, when a user satisfies condition information that indicates a condition related to behavior of the user approaching the virtual riding point, the user of the information related to the position indicated by the riding position information.

Abstract: An information processing apparatus according to the present application includes an acquiring unit and a notification unit. The acquiring unit acquires riding position information related to a position of a virtual riding point that corresponds to a riding point that is used to ride in a moving vehicle and that is virtual set. The notification unit notifies, when a user satisfies condition information that indicates a condition related to behavior of the user approaching the virtual riding point, the user of the information related to the position indicated by the riding position information.

Abstract: An information processing apparatus according to the present application includes a classification unit, a conversion unit, a label acquiring unit. The classification unit that classifies a feature vector by using a classification vector, the feature vector being converted from target data. The conversion unit that converts the feature vector into an embedding vector in accordance with a conversion rule according to classification performed by the classification unit. The label acquiring unit that acquires, as one or more labels to be provided to the target data, one or more labels acquired based on the embedding vector converted by the conversion unit.

Abstract: A generation apparatus according to an embodiment includes an acquiring unit and a generating unit. The acquiring unit acquires information on usage of a moving image content used via a partial moving image that is used as a key image of the moving image content in a terminal device that is a distribution destination of the partial moving image. The generating unit generates a partial moving image corresponding to the moving image content on the basis of the information acquired by the acquiring unit.

Abstract: A calculation device according to the present application includes an acquiring unit and a calculation unit. The acquiring unit that acquires a plurality of pieces of first triple information indicating a relationship related to three types of elements and a plurality of pieces of second triple information obtained based on a conceptual system in the plurality of pieces of the first triple information. The calculation unit that calculates statistical information related to the plurality of pieces of the first triple information based on the number of pieces of the first triple information associated with each of the plurality of pieces of the second triple information acquired by the acquiring unit.

Abstract: A generation device according to the subject application includes an acquiring unit and a generating unit. The acquiring unit acquires multiple pieces of vector information that correspond to each search target during the proximity search. The generating unit generates multiple pieces of centroid information, in which each piece of vector information is related in accordance with a distance for vector quantization, based on multiple pieces of vector information acquired by the acquiring unit such that a difference in the number of pieces of vector information related to each piece of centroid information falls within a predetermined value.

Abstract: A learning device includes a classification unit that classifies data to be determined by using a learner configured to classify data based on a predetermined feature among features included in the data. The learning device includes an estimation unit that estimates, from classification results according to the classification unit, the behavior of the probability of a mistake occurring in the classification results according to the classification unit based on a large deviation principle. The learning device includes a determination unit that determines, based on the behavior estimated by the estimation unit, whether to add a new feature to an object to be learned for the learner.

Abstract: An output device includes an acquiring unit that acquires a plurality of pieces of output information generated from predetermined target information by a plurality of models each of which generates, from input information, output information that includes a plurality of pieces of information having an order relation. The output device includes a selecting unit that selects, based on a similarity between the plurality of pieces of output information, from among the plurality of pieces of output information, output information that is to be output as association information associated with the target information. The output device includes an output unit that outputs, as the association information, the output information selected by the selecting unit.