Abstract: The present disclosure promotes distribution of sensor data among a plurality of business operators. A controller that an information processing system according to the present disclosure includes collects first data including a plurality of items and personal information from mobile bodies belonging to a first business operator. The controller converts the first data to second data not being usable to identify individuals. The controller provides data in a range decided based on content of a predetermined data use contract, among the second data, to a second business operator. The controller calculates a consideration for the data that is to be paid by the second business operator, based on a data use record of the second business operator.

Abstract: A vehicle includes: a battery; an electricity supply unit configured to be capable of supplying electric power from the battery to an external load; a charge port unit including a charge inlet that a charge connector is attached to and detached from, the charge connector being used for charging the battery with an external electricity source; and a control unit configured to control operation of a movable portion that is included in the charge port unit. When an external electricity supply process of supplying electric power from the electricity supply unit to the external load is executed, the control unit controls the movable portion of the charge port unit, to physically prohibit the charge connector from being connected to the charge inlet.

Abstract: According to one embodiment, a medical image processing apparatus of an embodiment includes an acquirer, a reliability setter and a learner. The acquirer acquires training data created by a creator on the basis of a medical image. The reliability setter sets, to the training data acquired by the acquirer, reliability information based on a creation situation of the training data or information about the creator who created the training data. The learner generates a learned model using the training data according to weighting based on the reliability information set by the reliability setter.

Abstract: According to one embodiment, a medical image processing apparatus of an embodiment includes an acquirer, a reliability setter and a learner. The acquirer acquires training data created by a creator on the basis of a medical image. The reliability setter sets, to the training data acquired by the acquirer, reliability information based on a creation situation of the training data or information about the creator who created the training data. The learner generates a learned model using the training data according to weighting based on the reliability information set by the reliability setter.