Abstract: A specific object is quickly detected to improve safety of flight. A control unit of an unmanned aerial vehicle control system obtains an image in which surroundings of an unmanned aerial vehicle are captured, the unmanned aerial vehicle being movable in any direction. A control unit for obtaining movement direction information about a movement direction of the unmanned aerial vehicle. A control unit for specifying a part to be processed in the image based on the movement direction information. A control unit for performing detection processing on the part to be processed to detect a specific object. A flight control unit for controlling flight of the unmanned aerial vehicle based on a result of the detection processing.

Abstract: The generator (141) generates a group (for example, a group chat) for viewers of a video introducing a product to interact with each other on social media (for example, a messenger service). The detector (142) detects a viewer who has viewed the video introducing the product and purchased the product. The registrar (145) then registers the viewer detected by the detector (142) to the group generated by the generator (141).

Abstract: The present disclosure relates to a system, method, and computer program for testing the accuracy of software that identifies user interface (UI) elements on a webpage (“the auto-identifier software”). The system enables a user to tag UI elements on a webpage with labels. The system creates a normalized specification for the webpage, where the specification includes a mapping of UI elements to normalized labels. The system uses the auto-identifier software to identify UI elements on the webpage. The system evaluates the performance of the auto-identifier software with respect to the webpage using the specification. The system displays diagnostics related to the performance of the auto-identifier software. In certain embodiments, the method is used for testing the accuracy of autofill software on a webform. In certain embodiments, the method is used for testing the accuracy of cart-scraper software on a checkout page.

Abstract: The information processing device acquires a probability image representing a probability of an existence of a character in each of pixels included in a target image including a plurality of characters based on the target image, estimates positions of respective character images included in the target image based on the acquired probability image, classifies the plurality of character images into a plurality of groups based on the estimated positions, acquires a plurality of recognition target images which is generated so as to correspond to the plurality of groups, and includes the plurality of character images respectively belonging to the corresponding groups, and recognizes the plurality of characters from each of the recognition target images.

Abstract: A method for processing information is executed by one or more computers. The method includes obtaining a user classification item related to a question, the user classification item being any of user classification items based on user classification, the user classification corresponding to content classification; converting the question into a question vector; searching document vectors assigned with a content classification item that corresponds to the user classification item related to the question vector for a specified number of the document vectors having a high degree of relevance to the question vector; generating a prompt for input to a large language model, the prompt including content of the specified number of the document vectors prior to conversion, serving as context, and the question; inputting the prompt to the large language model; and outputting the answer generated based on text output by the large language model.

Abstract: A management device acquires viewing history information indicating a viewing history by a user to a product sold in a store in an electronic market, calculates a number of out-of-stock views of each product, based on the viewing history included in the acquired viewing history information and determines whether or not to change a degree of replenishment that indicates a degree of priority with which a product is replenished and changes the degree of replenishment of each product, based on a determination result in the determination, the number of out-of-stock views being a number of times that a product that is out of stock is viewed, and determines whether or not the degree of replenishment is changed and to which level of a plurality of levels the degree of replenishment is changed, based on a degree-of-replenishment setting criterion set according to the number of out-of-stock views, for each product.

Abstract: A providing device includes: an accepter to accept an address character string; an acquirer to acquire latitude-longitude information associated with the accepted address character string; an extractor to extract position information recorded in association with the accepted address character string from a database; a determiner to determine whether or not the latitude-longitude information is correct; and a provider to provide, when the latitude-longitude information is determined to be correct, delivery-destination map information in which a position determined based on the latitude-longitude information is displayed on a map and provide, when the latitude-longitude information is determined not to be correct, delivery-destination map information in which a position of the accepted address character string is displayed on a map, based on the extracted position information.

Abstract: The UGV 1 is configured to move the article stored in the storing chamber B1 to the storing chamber B2 and perform the temperature control for the storing chamber B2 in a case where it is determined that the predetermined condition regarding the article stored in the storing chamber B1 among the plurality of storing chambers B is satisfied.

Abstract: Provided is a flight simulation system for an unmanned aerial vehicle capable of performing pilot training of the unmanned aerial vehicle in an environment closer to a real environment. The flight simulation system for an unmanned aerial vehicle includes: an operation data acquisition unit configured to acquire operation data of a virtual unmanned aerial vehicle performed by a trainee; a simulator unit configured to calculate, based on geospatial data of a real space and the operation data, a current position of the virtual unmanned aerial vehicle in the real space; and a display unit configured to generate an image of the virtual unmanned aerial vehicle so that the virtual unmanned aerial vehicle is visually recognizable at the current position in the real space, and to output the generated image to the trainee.

Abstract: An information processing apparatus includes a processor configured to read program code stored in memory and operate as instructed by the program code. The program code includes acquisition code configured to cause the at least one processor to acquire a red, blue, green (RGB) image including an object. The program code includes converting code configured to cause the at least one processor to apply a discrete cosine transform (DCT) to the RGB image to generate image coefficients corresponding to an YCbCr image comprising Luma (Y) elements and Chroma (Cb, Cr) elements. The program code includes prediction code configured to cause the at least one processor to predict various attributes relating to the object by inputting the image coefficient into a learning model. The learning model is a learning model that is stored in the at least one memory and shared between a plurality of different objects including the object.

Abstract: A network management device includes a processor which ranks multiple moving images taken by wireless communication terminals simultaneously capturing one of multiple sections in an event venue to select multiple moving images ranked higher for the section. The processor increases uplink throughput for the multiple wireless communication terminals corresponding to the multiple moving images ranked higher for the selected section. The processor generates an overall video signal including multiple video signals corresponding to the multiple wireless communication terminals for which the uplink throughput is increased. The processor supplies the generated overall video signal to at least one reproduction device in which moving images are reproduced. The overall video signal is in a format that enables the reproduction device to simultaneously reproduce the multiple moving images corresponding to the multiple video signals in the overall video signal.

Abstract: A method of transaction authorization includes receiving, by a payment gateway of a payment platform and from a business support system (BSS), an authorization request for a transaction and a security token corresponding to credential information, determining, by the payment gateway, whether an authorization for the transaction is required, and, based on determining that an authorization for the transaction is not required, generating, by the payment gateway, a capture request for retrieving funds for the transaction, sending, by the payment gateway, the capture request to a card issuer corresponding to the credential information, and transferring, by the payment gateway, the funds for the transaction to an operator of the payment gateway.

Abstract: A category classification includes one or more upper-level categories, and lower-level categories that are included in each of the upper-level categories. The one or more upper-level categories and the lower-level categories are used to classify targets. A method for displaying information that is classified into categories includes causing a computer to, based on information related to targets that are classified into each of the upper-level categories and the lower-level categories, execute displaying objects in a display area. The objects include one or more upper-level symbols, each representing a corresponding one of the one or more upper-level categories, and lower-level symbols, each representing the lower-level categories. The method also includes causing the computer to, based on the information, execute changing display of at least one of the objects in the display area.

Abstract: An information processing method causes one or multiple computers to obtain a description of a transaction object input by an administrator of the transaction object, obtain a guideline related to a summary of the description, and transmit the description and the guideline to a summarization model to obtain a summary of the description.

Abstract: An information processing method causes one or multiple computers to obtain an original text input by an administrator, obtain a guideline related to editing of the original text from a memory, transmit the original text and the guideline to one or multiple editing models to obtain one or multiple edited texts in which the original text is edited, and transmit the original text, one of the edited texts, and the guideline to an evaluation model to perform an evaluation to determine whether the one of the edited texts has been edited in accordance with the guideline.

Abstract: A prediction system, with at least one processor configured to: acquire a plurality of candidates of information influencing an ease of obtaining a desired result in a predetermined service; predict, for each of the plurality of candidates, based on a predetermined prediction method, whether the desired result is obtained; and identify the candidates predicted to obtain the desired result.

Abstract: A method, system, apparatus, and non-transitory computer-readable medium for image processing using a multi-task neural network framework may be provided. The method be executed by one or more processors, and may include receiving an input image; and generating one or more image patches based on the input image. The method may include performing an image processing task based on the input image using the multi-task neural network framework, wherein the multi-task neural network framework is trained using an adaptive feature distillation function, and wherein the adaptive feature distillation function is based on a comparison of intermediate features of the multi-task neural network framework and intermediate features of a plurality of single-task neural network models. The method may include generating an output of the image processing task based on up sampling an output of the multi-task neural network framework.

Abstract: A method, apparatus, and non-transitory computer-readable medium are provided for image processing of medical images. The method may include receiving one or more medical images. Tissue regions may be identified in each of the one or more medical images. The method may include generating patches associated with respective identified tissue regions. A patch tumor burden (TMB) score may be predicted for each of the patches based on a neural network model, wherein the neural network model is trained using a distribution smoother and a weighted loss function. The method may also include a tumor burden score being generated for each of the one or more medical images based on the patch tumor burden score for patches associated with the respective identified tissue regions in respective medical images from the one or more medical images.

Abstract: A receiver (120) receives, from each of a plurality of terminals being playing a distributed live video, a piece of access information sent in response to an operation on one of a plurality of objects respectively associated with a plurality of products presented in the live video. A collector (142) collects video identification information identifying the live video, product identification information identifying a product associated with the operated object, and time information indicating a playback time of the live video at a point of time at which the operation is performed, the video identification information, the product identification information, and the time information being included in each of the received pieces of access information. An estimator (143) estimates, based on the collected video identification information, product identification information, and time information, a time period during which each of the plurality of products was presented in the live video.

Abstract: The information processing device detects a feature existing in the peripheral area of a landing candidate place of the UAV 1, estimates a degree of influence on a landing due to downwardly-blowing wind generated during the landing of the UAV 1, hitting and bouncing off the feature, which is the degree of influence at the landing candidate place, and determines whether or not the landing candidate place is suitable for landing on the basis of the estimated degree of influence.