Abstract: According to an embodiment, a learning method is to be performed by a computer. The learning method includes performing learning of a neural network so as to reduce a value of a first loss function representing a correlation between channels in feature vectors output from at least one of intermediate layers and a final layer in the neural network to which a plurality of pieces of training data has been input.

Abstract: According to one embodiment, an information processing system includes a processor configured to detect a first object in an image in time-series image data and output object information indicating a detection of the first object. The processor calculates a movement status of one or more pixels included in the image by using a plurality of images in the time-series image data, and then outputs movement information indicating the movement status of the one or more pixels. The processor then detects whether a second object moves in conjunction with the first object based on the object information and the movement information.

Abstract: A warning system according to an embodiment includes an acquisition unit, an analysis unit, and a calculation unit. The acquisition unit acquires, from first sensor data including information on a target, condition information on the target. The analysis unit analyzes, from second sensor data including information on a region, current state information on an object included in the region and action prediction information on the object. The calculation unit calculates a degree of caution, based on the condition information on the target, the current state information on the object, and the action prediction information on the object.