Abstract: An image forming apparatus communicates with another device and includes a processor that controls the communication. A control unit controls the apparatus to operate in one of at least a first power saving state, a second power saving state, and a normal state. In the first power saving state, the apparatus is controlled so that an image forming unit, an image reading unit, and the control unit are not activated, and a communication device is activated. In the second power saving state, the apparatus is controlled so that at least one of the image forming unit and the image reading unit are not activated, and the communication device and the control unit are activated. In the normal state, the apparatus is controlled so that at least the image forming unit, the image reading unit, the communication device, and the control unit are activated.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a user interface, a camera, a memory configured to store a first artificial intelligence model trained to obtain information on an emotion based on an input image, and a processor, connected to the user interface, the camera, and the memory, configured to control the electronic apparatus. The processor is configured to, based on text being input through the user interface, identify whether the text includes first information on a user's emotion, based on the text including the first information, obtain second information for the emotion by inputting the image obtained through the camera to the first artificial intelligence model, and identify a type of the user's emotion based on the first information obtained from the text and the second information obtained from the image.

Abstract: A printing apparatus capable of conveying sheets to a sheet processing apparatus and to control the type of a sheet to be used as a cover sheet in a case where a book bound product is generated by switching back sheets each having an image printed, inverting the sheets and folding the inverted sheets, and to notify an error to a user based on the type of a sheet to be used as the cover sheet in a case where printing an image on the cover sheet is designated.

Abstract: An estimation apparatus includes an acquisition unit configured to acquire data about a domesticated animal identified by identification information that is transmitted by a client terminal, and an estimation unit configured to perform estimation by inputting the acquired data about a domesticated animal to a trained model generated by performing machine learning based on captured image data of domesticated animals and collected data about domesticated animals and provide, to the client terminal, an estimation result indicating a result of the estimation, and the client terminal includes a presenting unit configured to transmit a request for estimation together with identification information for identifying a domesticated animal targeted for estimation, receive the estimation result, and present body weight data about the domesticated animal targeted for estimation to a user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing intelligent extraction of information from a document. A computing module receives input data representing an image of a document. The module also receives context data for the document. The context data includes parameters that are descriptive of the document in the image. The module processes the input data and the context data to determine a complexity value that characterizes a level of complexity in identifying information to be extracted from the document. The system selects a machine-learning model to use in extracting information from the document. The model is selected based on the complexity value and from multiple candidate models. The system extracts information from the document using the selected model, including converting a portion of the image of the document that shows typed or handwritten text into a digitized text string.

Abstract: A method is disclosed. For example, the method executed by a processor of a multi-function device (MFD) includes executing a defect learning routine to identify defects, cataloging the defects based on a job function, a type of paper, and a machine state, receiving a job request, determining a known defect that has been catalogued based on the job function, the type of paper, and the machine state, and presenting a visualization of the known defect on a display of a user interface before executing the job request.

Abstract: Systems and methods are configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.

Abstract: In some example embodiments, a computer-implemented method may include training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.

Abstract: A method and apparatus for detecting text regions in an image, a device, and a medium are provided. The method may include: detecting, based on feature representation of an image, a first text region in the image, where the first text region covers a text in the image, a region occupied by the text being of a certain shape; determining, based on a feature block of the first text region, text geometry information associated with the text, where the text geometry information includes a text centerline of the text and distance information of the centerline from the upper and lower borders of the text; and adjusting, based on the text geometry information associated with the text, the first text region to a second text region, where the second text region also covers the text and is smaller than the first text region.

Abstract: A data processing system for extracting metadata values is described. The data processing system includes an input unit and a processor communicably coupled to the input unit. The input unit is configured to receive a contract document. The processor is configured to extract at least one segment from the contract document and identify a type of the at least one segment. The processor is further configured to extract at least one metadata value from the at least one segment based on a model, wherein the model is determined based on the identified type of the at least one segment.

Abstract: An information processing system is proposed. A manager manages a workflow defined by combining units of processing and generates a job to execute the workflow. A memory provides the manager to store a status of each unit of processing according to the job. Plural processors each executes a corresponding unit of processing. A processing request storage provides the manager to store a unit of processing as an execution request. A processing result storage provides each processor to store a processing result of a corresponding unit of processing after extracting the unit of processing from the processing request storage and executing the unit of processing. At a predetermined timing or when the information processing system is restarted after an occurrence of an error, an output unit outputs information indicating a status of a corresponding unit of processing, based on storage statuses of the processing request storage and the processing result storage.

Abstract: A image processing system which make it possible to reduce user time and effort in checking OCR error image data. The image processing system performs OCR processing on image data generated by an image forming apparatus in response to selection of an object by a user and stores the image data in a folder having a folder name formed by using a character string obtained by the OCR processing. The system includes a storage control unit configured to store the image data, in a case where the character string obtained by performing the OCR processing on the generated image data does not satisfy a predetermined condition, in a folder associated with the object.

Abstract: A learning support device 18 includes an acquisition unit 26, a registration unit 27, a storage device 28, a learning unit 29, and a controller 31. The acquisition unit 26 acquires an image of a region of interest and a name of the region of interest by analyzing an interpretation report 23. The registration unit 27 registers training data consisting of the image of the region of interest and the name of the region of interest acquired by the acquisition unit 26 in the storage device 28. The learning unit 29 performs learning for generating a discrimination model 34, which outputs the image of the region of interest and the name of the region of interest with respect to an input of an inspection image 22 of the interpretation report 23, using a plurality of pieces of training data 33 registered in the storage device 28.

Abstract: An image forming apparatus includes a storage unit configured to store user information and a print job in association with each other, an operation reception unit configured to receive a user operation, an authentication unit configured to authenticate a user with use of the user information, and a print control unit configured to execute and print the print job stored in association with the user information based on the user operation received by the operation reception unit. In a case where the operation reception unit is in failure, the print control unit executes the print job stored in association with the user information in response to authentication of the user with use of the user information.

Abstract: Methods and computing devices for allocating computing resources and selecting hyperparameter configurations during continuous retraining and operation of a machine learning model. In one example, a computing device configured to be located at a network edge between a local network and a cloud service includes a processor and a memory storing instructions executable by the processor to operate a machine learning model. During a retraining window, a selected portion of a video stream is selected for labeling. At least a portion of a labeled retraining data set is selected for profiling a superset of hyperparameter configurations. For each configuration of the superset of hyperparameter configurations, a profiling test is performed. The profiling test is terminated, and a change in inference accuracy that resulted from the profiling test is extrapolated. Based upon the extrapolated inference accuracies, a set of selected hyperparameter configurations is output.

Abstract: A technology for cleaning a training data set for a neural network using dirty training data starts by accessing a labeled training data set that includes relatively dirty labeled data elements. The labeled training data set is divided into a first subset A and a second subset B. The procedure includes cycling between the subsets A and B, including producing refined model-filtered subsets of subsets A and B to provide a cleaned data set. Each refined model-filtered subset can have improved cleanliness and increased numbers of elements.

Abstract: An apparatus includes a control unit that switches a power state between first and second power states, the first power state being a state where one of a plurality of cores is usable and the other cores are unusable, the second power state being a state where the plurality of cores is unusable. Based on reception of the predetermined signal in a case where the apparatus is in the second power state, the control unit causes the apparatus to transition from the second power state to the first power state, and under a first condition to be met after the transition to the first power state in a case where the apparatus is in the first power state, the control unit causes the apparatus to transition from the first power state to the second power state.

Abstract: In some embodiments, a version control system receives a first version of a digital object and a second version of the digital object. The version control system extracts data from the first version of the digital object, and data from the second version of the digital object. The version control system utilizes a categorization machine learning model to generate structured representations of the first digital object and a second digital object. The version control system identifies differences between the two digital objects and utilizes a natural language technique to produce pseudo-instructions representing an update request. The version control system validates differences between the two digital objects and sends an auto-validation report to a client computing device when the differences are compliant with the pseudo-instructions.

Abstract: A method for predicting behaviors of road users, the method may include sensing a vicinity of a vehicle to provide sensed information; processing the sensed information to provide compact contextual signatures of sensed road users within the vicinity of the vehicle; wherein a compact contextual signature of each a sensed road user includes (a) coarse contextual metadata regarding the sensed road user, (b) coarse location information regarding the sensed road user, (c) identifiers of other sensed road users, and (d) coarse situation information; feeding the compact contextual signatures to a machine learning process trained to estimate behaviors of road users based on compact contextual signatures of road users; and predicting, by the machine learning process, the behaviors of the sensed road users.

Abstract: A printing apparatus includes a reception unit configured to receive a print job, and an execution unit configured to execute printing of the print job received by the reception unit. The execution unit has a function of, in a case where a setting time or more elapses with a particular cause preventing the printing of the print job not being removed, canceling the printing of the print job. The execution unit has a function of canceling printing of a new print job received by the reception unit in a state where the setting time or more elapses with the particular cause not being removed.