Abstract: A monitor control method is used for controlling a monitor and includes the following steps: controlling the monitor to display a pattern; selecting, in response to a selection signal, one of a plurality of brightness curves as a target brightness curve, or generating by interpolation the target brightness curve; and controlling the brightness of the monitor according to the target brightness curve.

Abstract: A resource allocation method comprises using resources with a used resource quantity of a machine learning system to execute a first experiment which has a first minimum resource demand, receiving an experiment request associated with a target dataset, deciding a second experiment according to the target dataset, deciding a second minimum resource demand of the second experiment, allocating resources with a quantity equal to the second minimum resource demand for an execution of the second experiment when a total resource quantity of the machine learning system meets a sum of the first minimum resource demand and the second minimum resource demand and a difference between the total resource quantity and the used resource quantity meets the second minimum resource demand, determining that the machine learning system has an idle resource, and selectively allocating said the idle resource for at least one of the first experiment and the second experiment.

Abstract: A monitor calibration device, monitor calibration method, monitor control circuit, and monitor control method are provided. The monitor control method is used for controlling a monitor and includes the following steps: controlling the monitor to display a pattern; selecting, in response to a selection signal, one of a plurality of brightness curves as a target brightness curve, or generating by interpolation the target brightness curve; and controlling the brightness of the monitor according to the target brightness curve.