Abstract: In a data processing method executed by a computer: inputting, in a third trained model, first output data corresponding to first input data for a first trained model to obtain second output data, the third trained model being acquired through training in which (i) output data of the first trained model is used as training data, and (ii) output data of a second trained model acquired by converting the first trained model is used as label data; obtaining first label data of the first input data; and retraining the first trained model using first differential data corresponding to differences between the second output data and the first label data.

Abstract: An information processing apparatus is configured to distribute, to a vehicle, a map showing a road shape of a road on which the vehicle runs makes, for each of a plurality of areas and determine whether it is necessary to update the map of that area. The determination is based on at least either an amount of change from the road shape shown by the map to the road shape at a present time in each of the plurality of areas or the number of occurrences of a predetermined action of a vehicle having run through in each of the plurality of areas.

Abstract: The present invention provides, in polishing an object to be polished that contains an (a) material having silicon-nitrogen bonding and (b) other materials, means that is capable of improving a ratio of a polishing speed of the (a) material to a polishing speed of the (b) materials. The present invention relates to a polishing composition used for polishing an object to be polished that contains an (a) material having silicon-nitrogen bonding and (b) other materials, the polishing composition containing: organic acid-immobilized silica; a dispersing medium; a selection ratio improver that improves a ratio of a polishing speed of the (a) material to a polishing speed of the (b) materials; and an acid, in which the selection ratio improver is organopolysiloxane having a hydrophilic group.

Abstract: In a data processing method executed by a computer: inputting, in a third trained model, first output data corresponding to first input data for a first trained model to obtain second output data, the third trained model being acquired through training in which (i) output data of the first trained model is used as training data, and (ii) output data of a second trained model acquired by converting the first trained model is used as label data; obtaining first label data of the first input data; and retraining the first trained model using first differential data corresponding to differences between the second output data and the first label data.

Abstract: An information processing device includes a processor. The processor obtains an input image, inputs the input image to a machine learning model that executes classification likelihood calculation processing to obtain, for each of candidate objects in the input image, likelihoods of belonging to the plurality of classes, executes first determination on whether or not each of the candidate objects is classified as a first class of the plurality of classes using a likelihood of belonging to the first class that is a likelihood having a negative correlation with likelihoods of belonging to other classes, executes second determination on whether or not each of the candidate objects that have been determined in the first determination as a non-first class is classified as the other classes, and outputting a result of classifying the candidate objects included in the input image using a result of the second determination.

Abstract: An apparatus includes: an image capture sensor configured to perform imaging by employing a rolling shutter method; a stand configured to move the image capture sensor; a processor; and a memory. A first still image is obtained by using the image capture sensor while the image capture sensor is moved by the stand at a first constant speed. A second still image is obtained by using the image capture sensor while the image capture sensor is moved by the stand at a second constant speed or is remained stationary. Inclination information, which indicates an inclination difference between an image of an object in the first still image and an image of the object in the second still image, is specified. Distance information, which indicates a distance, is generated by using the specified inclination information.

Abstract: An information processing device includes a processor. This processor: obtains at least one of first sensor data output from a first sensor and used to determine an ambient environment of a device in which a third sensor is placed, and second sensor data used to determine an orientation of this device; determines a tilt of a plane in a sensing direction of the third sensor with respect to the orientation of the device based on the at least one of the first sensor data and the second sensor data; determines, in accordance with the tilt determined, a processing target area of third sensor data output from the third sensor and used for object detection processing in the sensing direction of the third sensor; and executes the object detection processing using the processing target area determined, of the third sensor data.

Abstract: A chain guide is provided which has a simple structure and improved durability, and which enables reduction in weight and in material cost, and moreover which does not inhibit smooth flow of resin inside a metal mold, and with which dimension errors, contour errors, internal distortion, defects and the like are reduced and concentration of internal stresses or repeatedly applied bending stresses can be prevented. A reinforcing rib of a body part includes a lateral rib that has an independent zone not connected to other parts of the reinforcing rib over a length of 20% or more of a distance between support portions at two locations of the rib. The independent zone is provided on a side further away from a guide surface than a midpoint of the height of the support wall.

Abstract: A tensioner with a simple structure is provided, which is capable of keeping oil pressure in a first high oil-pressure chamber stable and holding a chain favorably. The tensioner includes a plunger, a housing, a check valve, an inner sleeve, and a biasing member. In the housing, a second high oil-pressure chamber and a unit setting part are formed. In the unit setting part, a relief valve unit is set. A gap between an inner circumferential surface of a plunger hole and an outer circumferential surface of the inner sleeve functions as part of an oil flow passage that connects the first high oil-pressure chamber and the second high oil-pressure chamber.

Abstract: A positional measurement system includes: a mobile robot including a global navigation satellite system (GNSS) signal reception unit that receives GNSS signals and calculates a position of the mobile robot based on the GNSS signals, a GNSS signal precision evaluation unit that evaluates positional measurement precision by the received GNSS signals, and a position control unit that moves the mobile robot to a high-precision reception position, where GNSS signals yielding positional measurement precision higher than a first threshold precision can be received; a relative position detection unit that detects a relative position of a target as to the mobile robot situated at the high-precision reception position; and a target position calculation unit that calculates a position of the target based on the calculated position of the mobile robot based on the GNSS signals received at the high-precision reception position, and the relative position.

Abstract: An information processing method includes acquiring first output data for input data of first learning model, reference data for the input data, and second output data for the input data of second learning model obtained by converting first learning model; calculating first difference data corresponding to a difference between the first difference data and the reference data and second difference data corresponding to a difference between the second output data and the reference data; and training first learning model with use of the first difference data and the second difference data.

Abstract: A mapping method includes: acquiring first map information created in advance, including information about a surrounding area of a mobile robot; acquiring second map information including information about the surrounding area by a sensor of the mobile robot; receiving third map information including information about the surrounding area from an environmental sensor node; (i) in the third map information, if a place exists in which an amount of change over time is equal to or greater than a certain threshold value, removing information about the place in each of the first and the second map information corresponding to that place, or alternatively, increasing the variance of information about the place in each of the first and the second map information corresponding to that place; and (ii) creating map information using the first and the second map information subjected to the removal or the variance increase.

Abstract: An imaging control device includes: a first location estimator that estimates a future location of a vehicle using an advancing direction, velocity vector, or route data of the vehicle; a surface estimator that estimates a rate of change in the road surface height in the advancing direction or the road surface state at the future location, using surface information for estimating the road surface shape or state at the future location, detected by a sensor, or an image of the road surface at the future location, captured by an imaging device; a modifier that modifies a parameter of the imaging device according to the rate of change in the road surface height in the advancing direction or the road surface state; and a controller that causes the imaging device of the vehicle to perform imaging using the modified parameter, at a timing at which the vehicle passes the future location.

Abstract: A method includes, with a sensor mounted on a vehicle, measuring information of an infrastructure used by the vehicle, and first drive assisting information that is used to perform a drive assisting operation of the vehicle, transmitting the information of the infrastructure to an infrastructure inspection apparatus mounted in the infrastructure when the sensor measures the information of the infrastructure, receiving, from the infrastructure inspection apparatus, second drive assisting information that is used to perform the drive assisting operation of the vehicle, performing the drive assisting operation of the vehicle in response to the first drive assisting information if the sensor measures the first drive assisting information, and performing the drive assisting operation of the vehicle in response to the second drive assisting information if the sensor measures the information of the infrastructure.

Abstract: In a data processing method executed by a computer: inputting, in a third trained model, first output data corresponding to first input data for a first trained model to obtain second output data, the third trained model being acquired through training in which (i) output data of the first trained model is used as training data, and (ii) output data of a second trained model acquired by converting the first trained model is used as label data; obtaining first label data of the first input data; and retraining the first trained model using first differential data corresponding to differences between the second output data and the first label data.

Abstract: An information processing method including the following executed using a computer: obtaining a neural network model that solves a regression problem; obtaining input data and label data corresponding to the input data; compressing a network of the neural network model to obtain a compressed model; transforming the regression problem to be solved by the neural network model into a classification problem, based on information indicating performance of the compressed model, the information being calculated using the label data and output data which is obtained by inputting the input data to the compressed model; and changing a network configuration of the neural network model and transforming the label data, in accordance with the transformation from the regression problem to the classification problem.

Abstract: An information processing method including the following executed using a computer: obtaining a neural network model that solves a regression problem; obtaining input data and label data corresponding to the input data; compressing a network of the neural network model to obtain a compressed model; and changing the label data and the number of nodes in the neural network model, based on information indicating performance of the compressed model, the number of nodes being assigned to the regression problem, the information being calculated using the label data and output data which is obtained by inputting the input data to the compressed model.

Abstract: An information processing method includes: deciding a configuration of a machine learning model, using a processor; performing first determination as to whether the machine learning model in the decided configuration meets a first performance requirement on hardware performance; performing learning using the machine learning model in the configuration determined to meet the first performance requirement, performing second determination as to whether a learned model obtained by the learning meets a second performance requirement on evaluation value of output of a machine learning model, and when the learned model is determined to meet the second performance requirement, outputting information indicating that both performance requirements are met; and when it is determined that the first performance requirement is not met, changing the configuration of the machine learning model, and performing the first determination as to whether the machine learning model in the changed configuration meets the first performa

Abstract: An information processing apparatus is configured to distribute, to a vehicle, a map showing a road shape of a road on which the vehicle runs makes, for each of a plurality of areas and determine whether it is necessary to update the map of that area. The determination is based on at least either an amount of change from the road shape shown by the map to the road shape at a present time in each of the plurality of areas or the number of occurrences of a predetermined action of a vehicle having run through in each of the plurality of areas.

Abstract: An imaging control device includes: a first location estimator that estimates a future location of a vehicle using an advancing direction, velocity vector, or route data of the vehicle; a surface estimator that estimates a rate of change in the road surface height in the advancing direction or the road surface state at the future location, using surface information for estimating the road surface shape or state at the future location, detected by a sensor, or an image of the road surface at the future location, captured by an imaging device; a modifier that modifies a parameter of the imaging device according to the rate of change in the road surface height in the advancing direction or the road surface state; and a controller that causes the imaging device of the vehicle to perform imaging using the modified parameter, at a timing at which the vehicle passes the future location.