Abstract:
A method of operating a neural network device for extracting result information using machine learning according to an embodiment of the present disclosure includes: extracting feature data from an image frame; storing a pre-trained first training model generated by performing machine learning on the feature data and including first training data; storing a pre-trained second training model that is generated by performing machine learning on the first training data and includes second training data generated according to the four arithmetic operations based on the first training data; and generating two-dimensional vector information on the result information by performing a probability-based operation on the second training data in the image frame based on the second training model.
Abstract:
A first computer system including a first computer and a first display device is provided. The first computer includes a processor. The first display device is connected to the first computer and displays a graphics signal. The processor receives at least one of system state information and power state information from a second computer system including a second computer and a second display device, and generates a first power saving control command on the basis of the received state information. The processor transmits the first power saving control command to the second computer system. The first power saving control command is a command for controlling power saving of at least one of the second computer and the second display device.