Abstract: The present disclosure provides methods, apparatuses, and computer-readable mediums for performing ultra-wideband (UWB) remote control. In some embodiments, the method includes broadcasting an initial control request. The method further includes receiving, from one or more remote devices, at least one reply message comprising identification information and power spectrum information. The method further includes estimating, for each of the one or more remote devices, an angle indicating a pointing direction to that remote device relative to the remote control device. The method further includes determining a selected remote device that is being pointed at by the remote control device. The method further includes sending, to the one or more remote devices, a control signal comprising the identification information of the selected remote device and a control message indicating an action to be performed by the selected remote device.

Abstract: A tray for a vertical growing system for growing plants having opposed first and second side walls, a first open end and second open end opposed to the first end defining a perimeter of the tray; and a raised region disposed within the perimeter of the tray wherein at least one side wall is configured with a downward sloping outer face to direct fluid from the tray to an adjacent gutter. The tray forms one side of an enclosed plenum which directs forced air to growing mediums supported by each tray via holes formed in each tray. A bottom side of the tray includes ribs and valleys exposed to an interior of the plenum where such ribs and valleys contribute to substantially constant air velocities emanating from each hole in each tray along an entire length of the plenum.

Abstract: An electronic device for controlling a photographic system may obtain a video stream and a user query for a target event, obtain a set of photos from the video stream, obtain at least one photoshoot suggestion based on the user query via a language model, obtain a snapped photo for the target event based on the at least one photoshoot suggestion, in response to a given video frame included in the video stream satisfying a target content criterion, and output one or more photos selected from the set of photos and the snapped photo as event photos.

Abstract: Hybrid use of dual policies is provided to improve a communication system. In a multiple access scenario, when an inactive user equipment (UE) transitions to an active state, it may be become a burden to a radio cell on which it was previously camping. In some embodiments, hybrid load balancing is provided using a hierarchical machine learning paradigm based on reinforcement learning in which an LSTM generates a goal for one policy influencing cell reselection so that another policy influencing handover over active UEs can be assisted. The communication system as influenced by the policies is modeled as a Markov decision process (MDP). The policies controlling the active UEs and inactive UEs are coupled, and measureable system characteristics are improved. In some embodiments, policy actions depend at least in part on energy saving.

Abstract: A capacitive soil moisture sensor for detecting moisture levels in soil comprises a biodegradable substrate. A capacitive circuit is positioned on the biodegradable substrate. An antenna circuit is configured to communicate capacitance data. A hydrophobic, biodegradable encapsulating material encases at least the capacitive circuit.

Abstract: A tray for a vertical growing system for growing plants having opposed first and second side walls, a first open end and second open end opposed to the first end defining a perimeter of the tray; and a raised region disposed within the perimeter of the tray wherein the first end comprises a male extension and the second end comprises a female extension; wherein the male extension and female extension are configured to snap together between two adjacent trays.

Abstract: A method, computer program, and computer system are provided for load forecasting. Datasets corresponding to source machine learning models and a target domain base model are identified. A set of forecasting models corresponding to the identified datasets are learned. An ensemble model is determined from the learned set of forecasting models based on gradient boosting. An available resource is allocated based on the ensemble model.

Abstract: An apparatus for capturing an image of an object on a platen and including a platen having a surface for receiving the object, wherein the platen is transmissive to an optical wavelength of light, an illumination module configured to illuminate at least a portion of the object with light from an illumination source, and an optical sensing module configured to receive the light from the illumination source after the light interacts with the at least a portion of the object. The light from the illumination source is spatially patterned prior to reaching the object. The illumination module can be configured to create the spatially patterned illumination and/or the platen may include a patterned optical coating creating the spatially patterned illumination. The spatially patterned illumination can include a plurality of discrete areas (e.g., a stepped pattern) of different illumination intensity and/or a gradient of different illumination intensity.

Abstract: Methods, systems, and apparatuses for managing sensor data, including receiving encoded data at a first device from a second device separate from the first device, wherein the encoded data is generated using an artificial intelligence (AI) encoder model included in the second device based on sensor data collected by at least one sensor included in the second device; providing the encoded data to an AI inference model to obtain inference information; and performing a task based on the inference information, wherein the AI encoder model and the AI inference model are jointly trained based on an output of an AI teacher model

Abstract: An apparatus distributing communication load over a plurality of communication cells may select action centers from random cell reselection values, based on a standard deviation of an internet protocol (IP) throughout over the plurality of communication cells; input a first vector indicating a communication state of a communication system and a second vector indicating the standard deviation of the IP throughout of the plurality of communication cells, to a neural network to output a sum of the action centers and offsets as cell reselection parameters; and transmit the cell reselection parameters to the communication system to enable a base station of the communication system to perform a cell reselection based on the cell reselection parameters.

Abstract: Provided are a robotic device and a method for identifying a property of an object. The method may include obtaining sensor data from at least one sensor, identifying, using the sensor data, a property of interest of an object, training, using one or more neural networks, a model to predict the uncertainty about the next state of the object based on an action, and based on identifying the uncertainty about the next state of the object, controlling a movement of a robotic element to perform the action.

Abstract: A printer includes a substrate support, a printhead assembly, first and second actuators, and a controller. The printhead assembly deposits material on a substrate supported on the substrate support. The first actuator is disposed at a side of the substrate support and coupled to a first linear track disposed along the side of the substrate support and oriented in a first direction. The second actuator is disposed at an end of the substrate support and coupled to a second linear track disposed along the end of the substrate support and oriented in a second direction perpendicular to the first direction. The first and second actuators are positioned to engage with the substrate simultaneously. The controller moves the first and second actuators together to rotate the substrate.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: An apparatus for capturing an image of an object on a platen and including a platen having a surface for receiving the object, wherein the platen is transmissive to an optical wavelength of light, an illumination module configured to illuminate at least a portion of the object with light from an illumination source, and an optical sensing module configured to receive the light from the illumination source after the light interacts with the at least a portion of the object. The light from the illumination source is spatially patterned prior to reaching the object. The illumination module can be configured to create the spatially patterned illumination and/or the platen may include a patterned optical coating creating the spatially patterned illumination. The spatially patterned illumination can include a plurality of discrete areas (e.g., a stepped pattern) of different illumination intensity and/or a gradient of different illumination intensity.

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Abstract: Hybrid use of dual policies is provided to improve a communication system. In a multiple access scenario, when an inactive user equipment (UE) transitions to an active state, it may be become a burden to a radio cell on which it was previously camping. In some embodiments, hybrid load balancing is provided using a hierarchical machine learning paradigm based on reinforcement learning in which an LSTM generates a goal for one policy influencing cell reselection so that another policy influencing handover over active UEs can be assisted. The communication system as influenced by the policies is modeled as a Markov decision process (MDP). The policies controlling the active UEs and inactive UEs are coupled, and measureable system characteristics are improved. In some embodiments, policy actions depend at least in part on energy saving.

Abstract: A server may be provided to obtain a load balancing artificial intelligence (AI) model for a plurality of base stations in a communication system. The server may obtain teacher models based on traffic data sets collected from the base stations, respectively; perform a policy rehearsal process including obtaining student models based on knowledge distillation from the teacher models, obtaining an ensemble student model by ensembling the student models, and obtaining a policy model by interacting with the ensemble student mode; provide the policy model to each of the base stations for a policy evaluation of the policy model; and based on a training continue signal being received from at least one of the base stations as a result of the policy evaluation, update the ensemble student model and the policy model by performing the policy rehearsal process on the student models.

Abstract: A method for identifying and manipulating objects may include obtaining, from an image sensor, image sensor data; identifying, using the image sensor data, a location of an object; controlling a robotic element, which includes the image sensor, to move towards the location of the object; determining a slippage based on contact between the image sensor and the object; and controlling a movement of the robotic element based on the determined slippage.

Abstract: A printer includes a substrate support, a printhead assembly, first and second actuators, and a controller. The printhead assembly deposits material on a substrate supported on the substrate support. The first actuator is disposed at a side of the substrate support and coupled to a first linear track disposed along the side of the substrate support and oriented in a first direction. The second actuator is disposed at an end of the substrate support and coupled to a second linear track disposed along the end of the substrate support and oriented in a second direction perpendicular to the first direction. The first and second actuators are positioned to engage with the substrate simultaneously. The controller moves the first and second actuators together to rotate the substrate.

Abstract: Hybrid use of dual policies is provided to improve a communication system. In a multiple access scenario, when an inactive user equipment (UE) transitions to an active state, it may be become a burden to a radio cell on which it was previously camping. In some embodiments, hybrid load balancing is provided using a hierarchical machine learning paradigm based on reinforcement learning in which an LSTM generates a goal for one policy influencing cell reselection so that another policy influencing handover over active UEs can be assisted. The communication system as influenced by the policies is modeled as a Markov decision process (MDP). The policies controlling the active UEs and inactive UEs are coupled, and measureable system characteristics are improved. In some embodiments, policy actions depend at least in part on energy saving.