In one embodiment, a method includes receiving an initial input in a first modality from a first user from a client system associated with the first user, determining one or more intents corresponding to the initial input by an intent-understanding module, generating one or more candidate continuation-inputs based on the one or more intents, where the one or more candidate continuation-inputs are in one or more candidate modalities, respectively, and wherein the candidate modalities are different from the first modality, and sending instructions for presenting one or more suggested inputs corresponding to one or more of the candidate continuation-inputs to the client system.

A smart home system such a smart security system includes at least one controlled module capable of performing monitoring and/or control functions, and a controller that is in communication with the controlled module and a user device such as a smart phone or computer tablet. The system is operable to configure the user device with a first set of user interfaces and control functionalities in response to selection of a first operating mode, and to configure the user device with a second set of user interfaces and control functionalities in response to selection of a second operating mode. The first mode may be a master-controller mode in which the user device's graphics are displayed in portrait orientation, and the second mode may be a panel mode in which the user device's graphics are displayed in landscape orientation.

Inference server and environment controller for inferring one or more commands for controlling an appliance. The environment controller receives at least one environmental characteristic value (for example, at least one of a current temperature, current humidity level, current carbon dioxide level, and current room occupancy) and at least one set point (for example, at least one of a target temperature, target humidity level, and target carbon dioxide level); and forwards them to the inference server. The inference server executes a neural network inference engine using a predictive model (generated by a neural network training engine) for inferring the one or more commands based on the received at least one environmental characteristic value and the received at least one set point; and transmits the one or more commands to the environment controller. The environment controller forwards the one or more commands to the controlled appliance.

Techniques and system configurations for generating and implementing recipes and scripts to enable the orchestration of actions, activities, and configurations within smart devices and device networks (including the Internet of Things “IoT” network topologies) are described herein. In an example, a method for smart device orchestration and configuration includes: obtaining an orchestration recipe that defines a sequence of actions to be performed among multiple types of smart devices; activating the orchestration recipe for use upon multiple smart devices associated with a user, based on at least one condition to perform the sequence of actions; associating the orchestration recipe with respective configurations of the multiple smart devices associated with the user; and initiating the orchestration recipe, to cause the sequence of actions to be performed with the multiple smart devices, including via cloud-based device services that control the multiple smart devices associated with the user.

A system (1) is configured to cause a first set of one or more radio frequency signals to be transmitted with a first transmission characteristic and/or a first reception characteristic, e.g. by lighting devices (31-37), detect whether changes in said first set of radio frequency signals are caused by a human (49) presence, detect whether the changes in the first set of radio frequency signals have a further cause, and cause a second set of one or more radio frequency signals to be transmitted with a second transmission characteristic and/or received with a second reception characteristic upon detecting that the changes in the first set of radio frequency signals have a further cause. The system is further configured to identify the further cause based on changes in the second set of radio frequency signals and provide output comprising the further cause or in dependence on the further cause.

An electronic apparatus and a controlling method in which a home appliance without a display and a user terminal directly communicate with each other so that a user can control the home appliance through the user terminal are provided. The electronic apparatus includes a communication interface configured to directly communicate with a user terminal, a storage configured to store a graphic user interface, and at least one processor configured to transmit the graphic user interface to the user terminal, and receive a user command through the graphic user interface transmitted to the user terminal.

The present disclosure relates to a signal transmission method, system, device, a storage medium and an electronic device. The method includes: determining data to be transmitted by a unit in air conditioning units; and transmitting, by the unit, the data to be transmitted to other units through a designated power line in multiphase power lines, wherein the designated power line is any power line in the multiphase power lines, and the designated power line is a power line shared by all units in the air conditioning units.

A voice inputting device inputs a voice operation of a user, and transmits voice data based on the voice operation to a first cloud server. The first cloud server receives the voice data from the voice inputting device, analyzes the received voice data, and determines an operational skill level of the user and the details of the voice operation. A second cloud server generates a control command for an air conditioner based on the operational skill level and the details of the voice operation determined by the first cloud server, and transmits the generated control command to the air conditioner.

Systems and techniques for solar energy management are described. A described system includes circuitry to determine a solar power generation value based on a power output of a solar power generator configured to supply electricity to a plurality of devices associated with a property; circuitry to determine a power consumption value of the plurality of devices; and a controller configured to determine a power status based on the solar power generation value and the power consumption value. The controller can be configured to selectively enable additional power consumption among the plurality of devices to an extent of the solar power generation value based on the power status indicating a power surplus state. The controller can be configured to selectively reduce power consumption among the plurality of devices based on the power status indicating a power deficit state.

An operation control method for a household electrical appliance includes performing network configuration with a plurality of servers according to different network protocols; upon receiving a control instruction sent by one of the plurality of servers, determining a processing priority of the control instruction; and processing the control instruction according to the processing priority and a preset multi-protocol processing mechanism.