Abstract: A light emitting apparatus according to the present disclosure includes a first layer made of a semiconductor monocrystal, a second layer provided at the first layer and having a crystal orientation not continuous with the crystal orientation of the first layer, and a columnar crystal structure including a light emitting layer and extending from the second layer.

Abstract: An imaging control apparatus obtains a plurality of images at different radiation energies, the images having been obtained as a result of irradiating a subject with radiation whose energy changes during one shot, and detecting, a plurality of times, the radiation that has passed through the subject during the one shot; generates an energy subtraction image by performing energy subtraction processing using a plurality of images; and generates a difference image using a plurality of generated energy subtraction images.

Abstract: An information processing apparatus (100) includes a control unit (130). The control unit (130) selects an input variable that affects a prediction result as a first explanatory variable based on a causal model regarding a causal relationship between a plurality of input variables and the prediction result in a prediction model using the machine learning. The control unit (130) outputs information on the selected first explanatory variable.

Abstract: A driving information generating section 20 successively generates as driving information diverse types of information indicative of a driving state of a vehicle. A dangerous driving determining section 31 determines whether dangerous driving is underway on the basis of the driving information generated by the driving information generating section 20. A supplementary information acquiring section 32 acquires state supplementary information manually or automatically upon determination of dangerous driving by the dangerous driving determining section 31, and associates the acquired state supplementary information with the result of the determination of dangerous driving. An information communication section 34 transmits the result of the determination of dangerous driving and the state supplementary information to an information management apparatus 40.

Abstract: The present technology relates to an information processing device that enables to perform parking according to a desired parking method, and relates to an information processing method, and a program. For respective modes corresponding to parking methods of automatic parking that automatically parks a vehicle, the information processing device calculates respective required times until the automatic parking is completed, and controls displaying of the respective required times corresponding to the modes, thereby enabling to perform desired parking according to the required time until the automatic parking is completed. The present technology can be applied to, for example, an automatic parking system that is incorporated as a part of an automatic driving system with which a vehicle capable of performing automatic driving is provided.

Abstract: A driving information generating section 20 successively generates as driving information diverse types of information indicative of a driving state of a vehicle. A dangerous driving determining section 31 determines whether dangerous driving is underway on the basis of the driving information generated by the driving information generating section 20. A supplementary information acquiring section 32 acquires state supplementary information manually or automatically upon determination of dangerous driving by the dangerous driving determining section 31, and associates the acquired state supplementary information with the result of the determination of dangerous driving. An information communication section 34 transmits the result of the determination of dangerous driving and the state supplementary information to an information management apparatus 40.

Abstract: Communication is performed among a vehicle management device 50, a terminal device used by a user of a vehicle 20, and a terminal device 60 possessed by a use scheduled person who is scheduled to use the vehicle 20. On the basis of information obtained from the vehicle 20, for example, position information of the vehicle 20, the vehicle management device 50 estimates the estimated time of arrival at a delivery position at which the vehicle is delivered from the user to the use scheduled person. In a case where it is determined that the estimated time of arrival does not fall within a preset predetermined time range that is set with reference to delivery time of the vehicle and includes the delivery time, the vehicle management device 50 transmits a delivery situation to the use scheduled person. The use scheduled person is enabled to grasp a use situation of the vehicle used by the user, and consequently the vehicle can be smoothly delivered from the user to the use scheduled person.

Abstract: A configuration of selecting content corresponding to the driving situation of a driver and presenting the content to the driver, thereby enabling improvement of the safe driving consciousness of the driver, can be implemented. The configuration includes a situation data acquisition unit that acquires automobile driving situation data, an output content determination unit that determines output content on the basis of the situation data, and a content output unit that outputs the output content determined by the output content determination unit. The output content determination unit determines, as the output content, content including the details of a situation that matches or that is similar to the situation data. The output content determination unit determines, as the output content, content including the details of a risk or an accident in a situation that matches or that is similar to the situation data.

Abstract: The present disclosure relates to an information processing apparatus, a method, and a program capable of causing a system to efficiently learn a method of controlling a person. A control learning system calculates a reward based on an input objective state of a control target and a state of the control target based on a sensing result of the control target. The control learning system performs reinforcement learning using the calculated reward and the state of the control target to select a better action for bringing the control target closer to the objective state. The control learning system executes the selected action for the control target. For example, the present disclosure can be applied to a control learning system including a terminal and a cloud system.

Abstract: A configuration calculates an insurance fee of an automobile insurance considering not only driving behavior data associated with a driver but also an awareness level of the driver concerning driving is achieved. An insurance fee calculation device receives an input of a driving behavior score based on the driving behavior data and a test result of the self-awareness test, and executes an insurance fee calculation process that sets the insurance fee such that the insurance fee decreases from a reference insurance fee in accordance with an increase in a correlation between the driving behavior score and the self-awareness test result, and sets the insurance fee such that the insurance fee increases from the reference insurance fee in accordance with a decrease in the correlation between the driving behavior score and the self-awareness test result.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for actuator control. The methods and apparatus may comprise various circuits and/or systems to detect an induced voltage and various signal processing functions to utilize the induced voltage to control the actuator. The apparatus for actuator control may comprise an induced voltage detection circuit and adjust the actuator position according to the detected induced voltage.

Abstract: A situation determining section 11 determines a situation of a vehicle on the basis of driving information. A support image setting section 13 sets a support image in accordance with a determination result obtained by the situation determining section 11. A display control section 14 executes display control for displaying the support image set by the support image setting section on a window glass of the vehicle in accordance with the determination result obtained by the situation determining section 11. The support image enables a leading operation for a running route, an emphasis operation for a traffic sign or the like, a visibility lowering operation for an outside-vehicle object that may cause lowering of attentiveness of the driven vehicle, and the like, and driving support can be executed with a natural sense.

Abstract: The present disclosure relates to an information processing apparatus, a method, and a program capable of causing a system to efficiently learn a method of controlling a person. A control learning system calculates a reward based on an input objective state of a control target and a state of the control target based on a sensing result of the control target. The control learning system performs reinforcement learning using the calculated reward and the state of the control target to select a better action for bringing the control target closer to the objective state. The control learning system executes the selected action for the control target. For example, the present disclosure can be applied to a control learning system including a terminal and a cloud system.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for actuator control. The methods and apparatus may comprise various circuits and/or systems to detect an induced voltage and various signal processing functions to utilize the induced voltage to control the actuator. The apparatus for actuator control may comprise an induced voltage detection circuit and adjust the actuator position according to the detected induced voltage.

Abstract: Provided are an apparatus and a method enabling efficient reinforcement learning to be performed by input of an annotation. Included are a database configured to store respective pieces of information of a state, an action, and a reward of a processing execution unit, a learning execution unit configured to execute learning processing in accordance with a reinforcement learning algorithm to which the information stored in the database is applied, and an annotation input unit configured to input annotation information including sub reward setting information and store the annotation information in the database. The learning execution unit executes learning processing to which the respective pieces of information of the state, the action, and the reward input from the processing execution unit and the sub reward setting information are applied, derives an action determination rule, and determines an action which is caused to be executed in accordance with the action determination rule.

Abstract: There is provided an information processing apparatus and an information processing method that enable agents with different skills to cooperate with each other to efficiently execute a task, the information processing apparatus including: an allocation section configured to assign at least a part of a task to two or more agents on the basis of a skill model indicating a skill of each of the agents. An information processing method includes an allocation step of assigning at least a part of a task to two or more agents on the basis of a skill model indicating a skill of each of the agents. The present technology can be applied to, for example, an agent system in which a plurality of agents cooperates with each other to execute a task.

Abstract: There is provided an information processing apparatus and an information processing method each enabling a transmission apparatus which transmits observation information to be used in prediction to be readily selected from a plurality of transmission apparatuses. A selection section selects a sensor which transmits observation information to be used in prediction as a use sensor from a plurality of sensors on the basis of pieces of information associated with the plurality of sensors, respectively. The present disclosure, for example, can be applied to an information processing apparatus or the like which performs prediction of failure probability of an industrial robot by using observation information which is transmitted from a predetermined sensor of a plurality of sensors installed in an industrial robot.

Abstract: Various embodiments of the present technology may comprise methods and apparatus for actuator control. The methods and apparatus may comprise various circuits and/or systems to detect an induced voltage and various signal processing functions to utilize the induced voltage to control the actuator. The apparatus for actuator control may comprise an induced voltage detection circuit and adjust the actuator position according to the detected induced voltage.