Disclosed is an artificial intelligence laundry treatment apparatus including a washing tub configured to receive laundry, the washing tub being configured to be rotatable, a motor configured to rotate the washing tub, a controller configured to control the motor such that the washing tub is rotated while being accelerated, and a current sensing unit configured to sense current of the motor at predetermined time intervals, wherein the controller is configured to input, to an input layer of an artificial neural network pre-trained based on machine learning, input data generated by processing current values sensed by the current sensing unit while the motor is accelerated within a range within which the laundry moves in the washing tub according to a predetermined parsing rule in order to obtain at least one of laundry weight or laundry quality from output of an output layer of the artificial neural network.

Disclosed herein is a washing machine including a first data acquirer configured to collect data related to a laundry pattern of a user, a second data acquirer configured to collect data related to context information, and a processor configured to provide the laundry pattern of the user and the context information to a reinforcement learning model as an environment and to train the reinforcement learning model using feedback of the user on a recommended laundry course when the reinforcement learning model recommends the laundry course.

A method of operating a dryer appliance includes directing a flow of hot dry air into a chamber defined within a drum of the dryer appliance. The method also includes receiving a signal indicative of an atmospheric condition external to the dryer appliance and determining whether the indicated atmospheric condition is less than a threshold. The method may further include directing a flow of air from the chamber to an interior space when the indicated atmospheric condition external to the dryer is less than the threshold, and activating a component of an environmental control system in communication with the interior space when the indicated atmospheric condition of the ambient environment external to the dryer is less than the threshold.

Hardware detection in a laundry treatment appliance is provided. Data is received from the sensor providing data in relation to presence or absence of a removable agitator within the laundry treatment appliance. A configuration of the removable agitator with respect to the laundry treatment appliance is identified based on the data from the sensor, the configuration indicating at least the presence or absence of the removable agitator. Settings of the laundry treatment appliance are updated in accordance with the identified configuration of the laundry treatment appliance.

A washing machine is provided that includes a washing tub, a driver to rotate the washing tub, a sensor to sense an operation of the washing machine, and at least one processor configured to obtain a weight of dry fabric of laundry in the washing tub, control the driver to rotate the washing tub at a speed within a first range, and obtain a first torque axis current of the driver. The at least one processor is further configured to, after supplying washing water to the washing tub, control the driver to rotate the washing tub at a speed within a second range and obtain a second torque axis current of the driver, and identify a material of the laundry by inputting at least one of the weight of the dry fabric, the first torque axis current, or the second torque axis current to a neural network model.

A server, a washing machine, and a washing system including the same are provided. The washing system includes a washing machine and a server configured to receive turbidity information of washing water from the washing machine at pre-set time intervals, identify an amount of change in turbidity information of the washing water for the pre-set time intervals based on the received turbidity information, predict turbidity information of the washing water based on the amount of change in turbidity information of the washing water, and transmit a control signal for controlling a washing cycle of the washing machine based on the predicted turbidity information of the washing water.

A laundry appliance includes a cabinet and a control panel mounted on the cabinet, the control panel having a plurality of controls that each may be activated to permit manipulation by a user or deactivated to prevent manipulation by the user. A method of operating the laundry appliance includes obtaining a desired automation level, determining a set of active controls of the plurality of controls that are associated with the desired automation level, and activating the set of active controls on the control panel for manipulation by the user of the laundry appliance.

A washing machine is provided. The washing machine includes: a display; a communication interface; and a processor, wherein the processor controls the display to display a user interface (UI) for overall control of the washing machine and a dryer connected to the washing machine in communication based on a first user input selecting a washing course being received, identifies a drying course of the dryer based on the washing course selected by the first user input and a control option selected by a second user input based on the second user input selecting one of the plurality of control options included in the UI being received, and control the communication interface to transmit information corresponding to the identified drying course.

A controlling method for a dryer is provided. The controlling method includes the steps of rotating a drum in a first direction and a second direction which is an opposite direction to the first direction by a motor, measuring the load of the motor and identifying the weight of drying materials based on the lower motor load among the load of the motor measured during rotation in the first direction and the load of the motor measured during rotation in the second direction.

The washing machine includes a tub, a drum, a plurality of balancing units moving along the circumference of a front side or a rear side of the drum in order to reduce imbalance caused by concentration of laundry when the drum rotates, a vibration sensor sensing a vibration amount of the tub, and a controller moving the plurality of balancing units according to the vibration amount of the tub, measured by the vibration sensor. The controller controls a drum motor to rotate the drum at a constant rotation speed, moves the plurality of balancing units in the same rotation direction to minimize the vibration amount of the tub, measured by the vibration sensor, and thereafter moves the plurality of balancing units in different rotation directions to minimize the vibration amount of the tub, measured by the vibration sensor, thereby reducing imbalance.