Abstract: A learning apparatus configured to be able to communicate with a plurality of equipment in which learning models are mounted, wherein when first equipment among the plurality of equipment in which a learning model trained using training data sets acquired in a predetermined first area is mounted and which is controlled by the same is used in a predetermined second area, the learning apparatus uses training data sets acquired in the second area to relearn the learning model mounted in the first equipment.

Abstract: An information processing device includes a control unit configured to execute detection that a first shopper has performed a specific behavior for a first product based on information acquired by a sensor, and determination of a reason why the first shopper has performed the specific behavior for the first product based on information related to the first product and at least one of information related to a second product that is a comparison target of the first product and information related to the first shopper.

Abstract: The machine learning device includes a predicting part configured to use a machine learning model to predict predetermined information, an updating part configured to update the machine learning model, and a part information acquiring part configured to detect replacement of a vehicle part and acquire identification information of the vehicle part after replacement. The updating part is configured to receive a new machine learning model trained using training data sets corresponding to the vehicle part after replacement from a server and apply the new machine learning model to the vehicle, if a vehicle part relating to input data of the machine learning model is replaced with a vehicle part of a different configuration.

Abstract: The machine learning device comprises a training part configured to train a machine learning model used in a vehicle; and a detecting part configured to detect replacement of a vehicle part mounted in the vehicle. The training part is configured to retrain the machine learning model using training data sets corresponding to a vehicle part after replacement when a vehicle part relating to input data of the machine learning model is replaced.

Abstract: A model learning system includes a server and a plurality of vehicles. The server is configured so that when a model differential value showing a degree of difference before and after learning of a learning model used in one vehicle among the plurality of vehicles and trained based on training data sets acquired within a predetermined region is greater than or equal to a predetermined value, it instructs relearning of a learning model used in another vehicle among the plurality of vehicles present in that predetermined region to that other vehicle.

Abstract: An object of the present disclosure is to enable a warning to be issued to a person who is highly likely to be put; in danger at a risky point. In an information processing apparatus, a controller acquires information indicating a risky point, acquires a state of a person with a predetermined positional relationship to the risky point, and determines whether or not the state of the person is a state where there is a high possibility of being put in danger, among a plurality of states of the person assumable at the risky point. Furthermore, in a case where the state of the person is determined to be the state where there is a high possibility of being put in danger, the controller causes an output unit to output information indicating a warning.

Abstract: A server including a processor configured to: receive a data set from a vehicle; create a plurality of learned models of different scales by performing machine learning using the data set; receive from the vehicle information on computing power of an electronic control unit that controls the vehicle by applying the learned model; and transmit the learned model to the vehicle, wherein the processor is configured to transmit the learned model of a larger scale to the vehicle equipped with the electronic control device having high computing power, than to the vehicle equipped with the electronic control device having low computing power.

Abstract: A vehicle includes: an electric motor; a storage battery configured to supply electric power to the electric motor and be charged with electric power from an external power source; an internal combustion engine configured to rotate the electric motor; and a controller configured to perform an electric power generation control and a prohibition control, the internal combustion engine being prohibited in a case where the vehicle is positioned in a predetermined region, wherein the electric power stored in the storage battery is suppliable to an outside, and the controller is configured to permit driving of the internal combustion engine even in the predetermined region in a case where a supply of electric power is insufficient for an electric power demand in the predetermined region or in a case where the supply of the electric power is predicted to be insufficient for the electric power demand in the predetermined region.

Abstract: A teaching data preparation device includes: an acquisition unit configured to acquire a plurality of sensor values from a plurality of sensors; a calculation unit configured to use a sensor value included in the sensor values to calculate a calculation value corresponding to a sensor value other than the used sensor value; a determination unit configured to determine whether each of the sensors is normal; and a teaching data preparation unit configured to prepare, when the determination unit determines that at least one of the sensors is not normal, teaching data from an input-output dataset including at least one calculation value that corresponds to the sensor value of the sensor determined to be not normal.

Abstract: Provided is a hybrid vehicle that includes an internal combustion engine and an electric motor, and switches a driving mode between an EV mode and an HV mode. A position of the hybrid vehicle is determined, when determination is made that the hybrid vehicle is within a low emission zone where operation of the internal combustion engine is to be restricted, the operation of the internal combustion engine is stopped, and when determination is made that the hybrid vehicle is within an entrance area adjacent to a boundary of the low emission zone outside the low emission zone, an occupant of the hybrid vehicle is notified that the hybrid vehicle enters or is likely to enter the low emission zone soon.

Abstract: A user terminal of a first user acquires a topic of a predetermined event occurring between the first user and a second user who is another user, detects a behavior, of the first user, on a web performed in relation to the topic, generates web behavior history information that is a history of the behavior, and transmits the web behavior history information of the first user. A server receives the web behavior history information of the first user, and transmits, to a user terminal of the second user, information indicating a degree of interest in the topic or the second user felt by the first user, the information being based on the web behavior history information of the first user.

Abstract: There is provided a technology that can improve the convenience of users who are reading books. An information processing apparatus has a controller that determines a focus sentence in a subject book that a user is reading. The focus sentence is a sentence on which the user is focusing attention. The controller analyzes what the focus sentence describes and obtains related information relating to what the focus sentence describes. Moreover, the controller executes the processing for causing a user's terminal that the user is using to display the related information.

Abstract: An information processing system disclosed includes a controller. When the controller detects that a first user and a second user have been separated to become lost to each other in a specific area, it determines the location of the first user using data that links the first user and the second user and images captured by a plurality of cameras provided in the specific area. Then, the controller executes the processing of providing an entertainment to the first user at the determined location of the first user and providing information about the determined location of the first user to the second user.

Abstract: A control system for a hybrid vehicle includes: an electric heater configured to heat a catalyst of an internal combustion engine; a position determination unit configured to determine whether the hybrid vehicle is located in an exit area of a low emission zone where operation of the internal combustion engine is supposed to be restricted, the exit area being an area adjacent to a boundary of the low emission zone; and a heater control unit configured to turn on the electric heater when the position determination unit determines that the hybrid vehicle is located in the exit area.

Abstract: An information processing apparatus disclosed includes a controller configured to execute the processing of obtaining user identification information for identifying a user, obtaining property information indicating a property of the user on the basis of the user identification information, and determining an upper limit number on the basis of the property information. The upper limit number is the number of specific items that the user is allowed to purchase.

Abstract: A machine learning device is provided in a vehicle able to supply electric power to an outside, and includes a processor configured to perform processing relating to training a machine learning model used in the vehicle. The processor is configured to lower an electric power consumption amount in the processing relating to training when acquiring disaster information compared with when not acquiring the disaster information.

Abstract: A data collection system for machine learning that is configured to collect data containing personal information from vehicles while administrating the collected personal information tightly. The data collection system comprises a control unit and a human-machine interface. The control unit comprises a power switch recognizer and a human-machine interface controller. The control unit is configured to collect data from the vehicle to perform machine learning while the power switch is on, and confirm an intention of the user to use the data of the vehicle for machine learning via the human-machine interface.

Abstract: A control system for a hybrid vehicle which includes an internal combustion engine and an electric motor and whose drive mode is switchable between an electric vehicle mode and a hybrid vehicle mode includes: an on-board learning unit mounted on the hybrid vehicle and configured to perform a learning action; a position determination unit configured to determine whether the hybrid vehicle is located in a low emission area where operation of the internal combustion engine is supposed to be restricted; and a learning control unit configured to at least partially stop the learning action of the on-board learning unit when determination is made that the hybrid vehicle is located in the low emission area.

Abstract: A machine learning apparatus includes an acquisition unit that acquires third data including first data and second data, the first data including at least one of parameter data collected for a plurality of collection devices and teacher data created from the parameter data, and the second data which are associated with the first data and which represent collection conditions of the parameter data; a selection unit that selects specific data from the third data; and a learning unit that performs machine learning using the specific data, and generates a trained model which is to be used for a target device. Further, the selection unit selects the specific data which are associated with the collection conditions in which a difference between usage conditions of the trained model for the target device and the collection conditions in the collection devices is equal to or less than a predetermined reference.

Abstract: A vehicle includes a first communication device configured to communicate with a server that correlatively stores trained models of other vehicles and information relating to training conditions of the models of the other vehicles, and a first control device. The first control device is configured to transmit information relating to training conditions of a model of an own vehicle to the server. The first control device is configured to receive part of a model of a particular vehicle of which training conditions are closest to those of the model of the own vehicle, which has been selected from the models of the other vehicles stored in the server, as transfer-learning data. The first control device is configured to reuse part of the received model of the particular vehicle and perform training of the model of the own vehicle.