Abstract: A control system includes an energy management system in operation with intelligent, network-connected thermostats located in structures. The thermostats are operable to control heating, ventilation, and air conditioning (HVAC) systems. Control during a demand response (DR) event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function.

Abstract: A process identifies a search query spike from queries submitted by users during a first span of time, which is less than a predefined duration. The spike corresponds to a set of queries identified as equivalent. The frequency of submitting queries from the set during the first time span exceeds the frequency of submitting queries from the set during an average span of time. The process correlates the spike to a broadcast video program by matching terms from the set of search queries to subtitle terms appearing in the video program at a first location. The first location in the video program was broadcast within a predefined time before the first span of time. The process receives notification from a user device indicating user interest in the video program. The process transmits to the user device search results corresponding to some search queries from the set of search queries.

Abstract: The present disclosure describes systems and methods directed to a user equipment (UE) limited-service mode for wireless communications. For a user equipment (UE) that is wirelessly communicating with a base station, a service-mode manager determines that a thermal, power, or battery condition local to the UE violates a threshold and causes the UE to transmit a message that indicates a request by the UE to enter a UE limited-service mode. The base station allocates a set of resources of the air interface to be used for wireless communications upon the UE entering the UE limited-service mode. The base station then transmits a message to the UE, directing the UE to enter the UE limited-service mode and wirelessly communicate with the base station using the allocated set of resources of the air interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting future patient health using neural networks. One of the methods includes receiving electronic health record data for a patient; generating a respective observation embedding for each of the observations, comprising, for each clinical note: processing the sequence of tokens in the clinical note using a clinical note embedding LSTM to generate a respective token embedding for each of the tokens; and generating the observation embedding for the clinical note from the token embeddings; generating an embedded representation, comprising, for each time window: combining the observation embeddings of observations occurring during the time window to generate a patient record embedding; and processing the embedded representation of the electronic health record data using a prediction recurrent neural network to generate a neural network output that characterizes a future health status of the patient.

Abstract: Technology for characterizing internet application performance is described. An example method may involve, analyzing client requests from a plurality of internet service providers, the client requests comprising requests to access media items and being associated with internet service provider identities; identifying a set of the client requests that are associated with a first internet service provider; determining for at least one client request of the set: a request time, a payload data quantity, and an elapsed time; calculating a transfer rate comprising an application level throughput for the at least one client request, the transfer rate being based on the payload data quantity and the elapsed time; and calculating a performance measurement of the first and second internet service providers, the performance measurements being based on the transfer rate and on a portion of the set of client requests that have a transfer rate meeting a transfer threshold.

Abstract: Systems and methods for facilitating cross device resumable media content consumption. In an aspect, a system includes an update component that receives a media statistics update where the media statistics update includes information identifying an account, media content identification information, and a first playback time position associated with media content. A monitoring component is also included that identifies when the account accesses the media content associated with the media content identification information. A resume component is also included that plays back the media content at the first playback time position in response to identifying an access of the media content associated with the account.

Abstract: Particular techniques for generating synthetic images and/or for training machine learning model(s) based on the generated synthetic images. For example, training a machine learning model based on training instances that each include a generated synthetic image, and ground truth label(s) for the generated synthetic image. After training of the machine learning model is complete, the trained machine learning model can be deployed on one or more robots and/or one or more computing devices.

Abstract: This document describes an access point device and associated systems and methods. The techniques and systems include an access point device that includes a housing with an antenna carrier, a circuit board assembly, a heat sink, and a heat shield positioned within the housing. The housing includes a top housing member connected to a bottom housing member. The top housing member includes a concave-down top-end portion connected to a generally cylindrical vertical wall via rounded corners. The antenna carrier supports multiple antennas positioned proximate to an inner surface of the vertical wall. The heat sink is positioned between the antenna carrier and the circuit board assembly. The circuit board assembly is positioned between the heat shield and the heat sink, and the heat shield is positioned between the circuit board assembly and the bottom housing member.

Abstract: Embodiments are provided for syncing multiple electronic devices for collective audio playback. According to certain aspects, a master device connects (218) to a slave device via a wireless connection. The master device calculates (224) a network latency via a series of network latency pings with the slave device and sends (225) the network latency to the slave device. Further, the master devices sends (232) a portion of an audio file as well as a timing instruction including a system time to the slave device. The master device initiates (234) playback of the portion of the audio file and the slave devices initiates (236) playback of the portion of the audio file according to the timing instruction and a calculated system clock offset value.

Abstract: The various embodiments described herein include methods, devices, and systems for power-management on camera devices. In one aspect, a method is performed at a camera device having memory, one or more processors, and an image sensor. The method includes: (1) while a wireless communication component of the camera device is deactivated: (a) capturing a plurality of images containing a motion event; (b) characterizing the motion event; and (c) determining, based on the characterization of the motion event, whether to send video data to a remote computing system; and (2) in accordance with a determination to send video data to the remote computing system: (i) activating the wireless communication component of the camera device; (ii) establishing a wireless connection to the remote computing system via the wireless communication component; and (iii) sending video information to the remote computing system via the established wireless connection.

Abstract: Systems and methods may be used for establishing a link between user identifiers of different systems without disclosing specific user identifying information. One method includes generating a matching relationship based on double encrypted one or more first data sets of a first party system and double encrypted one or more second data sets of a second party system. The matching relationship indicates one or more links between match keys associated with the first party system and the match keys associated with the third party system. The method includes assigning bridge identifiers for user identifiers associated with the first party system and the user identifiers associated with the third party system based on the matching relationship.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to generate graphical user interfaces from textual descriptions.

Abstract: The present disclosure is directed to positioning animated images within a dynamic keyboard interface. In particular, the methods and systems of the present disclosure can: receive data indicating a selection of a particular animated image from amongst a plurality of different animated images presented by a dynamic keyboard interface provided in association with an application; receive data indicating a context of: the dynamic keyboard interface, and/or the application based at least in part on which the plurality of different animated images was selected for presentation by the dynamic keyboard interface; and determine, based at least in part on the data indicating the selection and the data indicating the context, a position within the dynamic keyboard interface for presenting the particular animated image in response to data indicating a subsequent context of the dynamic keyboard interface, the application, and/or a different and distinct application.

Abstract: In accordance with some implementations of the disclosed subject matter, mechanisms for presenting recommended media content items are provided. In some implementations, a method for providing media guidance is provided, the method comprising: receiving a request for supplemental content relating to a program being presented by a media device; causing a content interface to be presented on a mobile device; identifying the program that is being presented on a media device; determining keywords associated with the program, wherein each of the keywords is associated with a particular portion of the program; obtaining and storing supplemental content items corresponding to the program based on the keywords; causing the content interface to present a first supplemental content item; receiving state information associated with the mobile device that indicates a subsequent visit to the content interface; and causing the content interface to present a second supplemental content item based on the state information.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for isolating at least one device, from multiple devices in an environment, for being responsive to assistant invocations (e.g., spoken assistant invocations). A process for isolating a device can be initialized in response to a single instance of a spoken utterance, of a user, that is detected by multiple devices. One or more of the multiple devices can be caused to query the user regarding identifying a device to be isolated for receiving subsequent commands. The user can identify the device to be isolated by, for example, describing a unique identifier for the device. Unique identifiers can be generated by each device of the multiple devices and/or by a remote server device. The unique identifiers can be presented graphically and/or audibly to the user, and user interface input. Any device that is not identified can become temporarily unresponsive to certain commands, such as spoken invocation commands.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing long-short term memory layers with compressed gating functions. One of the systems includes a first long short-term memory (LSTM) layer, wherein the first LSTM layer is configured to, for each of the plurality of time steps, generate a new layer state and a new layer output by applying a plurality of gates to a current layer input, a current layer state, and a current layer output, each of the plurality of gates being configured to, for each of the plurality of time steps, generate a respective intermediate gate output vector by multiplying a gate input vector and a gate parameter matrix. The gate parameter matrix for at least one of the plurality of gates is a structured matrix or is defined by a compressed parameter matrix and a projection matrix.

Abstract: The present disclosure provides systems and methods that leverage machine learning to perform user input motion prediction. In particular, the systems and methods of the present disclosure can include and use a machine-learned motion prediction model that is trained to receive motion data indicative of motion of a user input object and, in response to receipt of the motion data, output predicted future locations of the user input object. The user input object can be a finger of a user or a stylus operated by the user. The motion prediction model can include a deep recurrent neural network.

Abstract: This document describes techniques and systems that enable a mobile device-based radar system for applying different power modes to a multi-mode interface. The techniques and systems include a user device having a radar system, and an interaction manager. The radar system generates a radar field, provides radar data, and operates at one of various different radar-power states. The user device analyzes the radar data to detect a presence or movement of a user within the radar field. Responsive to the detection, the radar system changes from a first radar-power state to a second radar-power state. Based on this change, the interaction manager selects a power mode, for a multi-mode interface, that corresponds to the second radar-power state, and applies the selected power mode to the multi-mode interface to provide a corresponding display via a display device.

Abstract: This document describes techniques and devices for blood-solute calculation with a mobile device using non-invasive spectroscopy. A mobile device (502) includes a light source (504) that emits light toward an interferometer (508) that uses mirrors to separate and recombine the light. The interferometer directs the recombined light toward a person. Light reflected from, or transmitted through, the person is received through a reception port (506) to a photodetector (510) that outputs photodetector data that corresponds to a measured light intensity of the reflected and transmitted light as a function of a path length of the light or a mirror position of the interferometer. Based on the photodetector data, an interferogram is generated. Applying a technique such as a Fourier transform to the interferogram, a spectrum data set of the reflected and transmitted light is generated. Based on the spectrum data set, a concentration of solutes in the person's blood is calculated.