Abstract: Local execution of smart device mesh automations with cloud-based failover is described herein. Embodiments operate in context of network-connected devices in a smart device mesh with a local automation system, where all devices communicate with cloud-based automation, and at least some also communicate with local automation. A determination is made whether to claim each automation routine for local automation, or to automatically execute the automation by the cloud when triggered. Triggered locally claimed automation routines cause attempted default execution locally by local automation with automatic failover execution by the cloud-based automation. Some embodiments further involve electing an executor device as part of claiming an automation routine and/or monitoring execution of automation routines to determine when to automatically de-claim locally claimed automation routines with poor local execution success rates.

Abstract: Techniques and apparatuses are described that perform respiration rate sensing. Provided according to one or more preferred embodiments is a hearable, such as an earbud, that is capable of performing a novel physiological monitoring process termed herein audioplethysmography, an active acoustic method capable of sensing subtle physiologically-related changes observable at a user's outer and middle ear. Instead of relying on other auxiliary sensors, such as optical or electrical sensors, audioplethysmography involves transmitting and receiving acoustic signals to monitor a user's respiration rate. In addition to being relatively unobtrusive, some hearables can be configured to support audioplethysmography without the need for additional hardware. As such, the size, cost, and power usage of the hearable can help make health monitoring accessible to a larger group of people and improve the user experience with hearables.

Abstract: A qubit device includes an elongated thin film uninterrupted by Josephson junctions, a quantum device in electrical contact with a proximal end of the elongated thin film, and a ground plane that is co-planar with the elongated thin film and is in electrical contact with a distal end of the elongated thin film, in which the thin film, the quantum device, and the ground plane comprise a material that is superconducting at a designed operating temperature.

Abstract: Techniques and apparatuses are described that perform audioplethysmography calibration. Provided according to one or more preferred embodiments is a hearable, such as an earbud, that is capable of performing a novel physiological monitoring process termed herein audioplethysmography, an active acoustic method capable of sensing subtle physiologically-related changes observable at a user's outer and middle ear. The hearable can utilize audioplethysmography to monitor a user's biometrics, recognize facial behaviors, and/or sense an environment using acoustic signals. The techniques for audioplethysmography calibration enable the hearable to dynamically select frequencies that improve the performance of audioplethysmography. With audioplethysmography calibration, the hearable may utilize different frequencies for different ears and these frequencies may change over time.

Abstract: Features described herein generally relate to an electronic device and a method for activity detection. Particularly, an electronic device can be detected as being in a docked mode and/or a tablet mode. In the docked mode, activity can be detected based on a first detector. In the tablet mode, activity can be detected based on a second detector. The activity can be classified as corresponding to an activity type and a display screen of the electronic device can be updated based on the activity type.

Abstract: Techniques for preparing datasets for geo experiments and improving accuracy of geo experiments are presented herein. The system can access a dataset of a plurality of geographic pairs. Additionally, the system can calculate a first outcome estimate based on a difference in response data and a difference in input data for a first geographic pair. Moreover, the system can calculate a plurality of experimental uncertainty estimates associated with the plurality of geographic pairs during an experimental time interval. The system can access historical data associated with the plurality of geographic pairs. Furthermore, the system can determine a beta value and a trim rate that reduces a sum of the plurality estimates. Subsequently, the system can remove, based on the first outcome estimate and the beta value, the first geographic pair from the plurality of geographic pairs to generate the first subset of geographic pairs.

Abstract: A computer-implemented method for providing dynamically scrolling content within a vertically scrolling online publication is implemented by a content serving computing device in communication with a memory. The method includes retrieving a dynamically scrolling content item, receiving a set of display information related to a user computing device, and serving the dynamically scrolling content item within a slot of a vertically scrolling online publication presented at the user computing device, wherein the dynamically scrolling content item is served based partially on the set of display information, wherein the dynamically scrolling content item is configured to scroll horizontally in response to a first haptic input received by a user of the user computing device.

Abstract: Various arrangements for using a positioning tag to facilitate control of a smart home device are presented herein. A communication sessions can be established between a control device and a positioning tag via a first device-to-device communication protocol. In response to a trigger event indicative of a user desiring to control the separate smart home device being detected, a positioning enablement message can be transmitted to the positioning tag via the first device-to-device communication protocol. A signal used for positioning is transmitted by the positioning tag using a second device-to-device communication protocol. Based on the received signal via the second device-to-device communication protocol, an interface that controls the smart home device is activated.

Abstract: Methods, systems and apparatus for measuring the energy of a quantum chemical system. In one aspect, a method includes obtaining a Hamiltonian describing the chemical system, where the Hamiltonian is expressed in an orthonormal basis; decomposing the Hamiltonian into a sum of terms where each term comprises a respective operator that effects a respective single particle basis rotation, and one or more particle density operators; repeatedly, for each group comprising terms with a same operator that effects a respective single particle basis rotation, measuring expectation values of the terms included in the group, comprising: performing the respective single particle basis rotation on a qubit system encoding a state of the chemical system; and measuring Jordan-Wigner transformations of the one or more particle density operators in the group to obtain a respective measurement result for the group; and determining the energy of the chemical system using the obtained measurement results.

Abstract: The present disclosure provides systems and methods that perform face reconstruction based on an image of a face. In particular, one example system of the present disclosure combines a machine-learned image recognition model with a face modeler that uses a morphable model of a human's facial appearance. The image recognition model can be a deep learning model that generates an embedding in response to receipt of an image (e.g., an uncontrolled image of a face). The example system can further include a small, lightweight, translation model structurally positioned between the image recognition model and the face modeler. The translation model can be a machine-learned model that is trained to receive the embedding generated by the image recognition model and, in response, output a plurality of facial modeling parameter values usable by the face modeler to generate a model of the face.

Abstract: An optical transport network (OTN) node including a plurality of optical circuit switches (OCSs), each OCS being a respective degree of the OTN node, at least two of the OCSs including an input port configured to be connected to a respective optical transport fiber outside of the OTN node, at least one first output port connected to a first switching layer, and at least one second output port connected to a second switching layer. The first and second switching layers have different levels of granularity, such as but not limited to a wavelength switched layer, a band switched layer or a fiber switched layer.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for tailoring composite graphical assistant interfaces for interacting with multiple different connected devices. The composite graphical assistant interfaces can be generated in response to a user providing a request for an automated assistant to cause a connected device to perform a particular function. In response to the automated assistant receiving the request, the automated assistant can identify other connected devices, and other functions capable of being performed by the other connected devices. The other functions can then be mapped to various graphical control elements in order to provide a composite graphical assistant interface from which the user can interact with different connected devices. Each graphical control element can be arranged to reflect how each connected device is operating simultaneous to the presentation of the composite graphical assistant interface.

Abstract: A sensor system includes a touch sensor having a plurality of conductive sensing elements integrated with a flexible substrate. A first subset of sensing elements is coupled to a first side of the flexible substrate and a second subset of sensing elements is coupled to a second side of the flexible substrate. At least one sensing element of the first subset overlies a second sensing element and a third sensing element of the second subset. The sensor system is configured to obtain touch data based at least in part on a respective response to the touch input by the plurality of conductive sensing elements. The sensor system is configured to determine whether the touch input is associated with the first subset of conductive sensing elements or the second subset of conductive sensing elements based at least in part on the respective response to the touch input by the sensing elements.

Abstract: Illustrative systems and methods for performing extended reality projection using monochrome pixel panels in inverted arrangements are described herein. For example, an extended reality projection system may include a binocular head-mounted display having a left side and a right side, a first set of monochrome pixel panels distributed in a first arrangement and collectively configured to produce a color image for presentation on the left side, and a second set of monochrome pixel panels distributed in a second arrangement and collectively configured to produce the color image for presentation on the right side. In this extended reality projection system, the second arrangement may be inverted from the first arrangement such that a color non-uniformity associated with the presentation on the right side is inverted from a color non-uniformity associated with the presentation on the left side. Corresponding methods and systems are also disclosed.

Abstract: A computing device may implement a method for creating and providing reminders during navigation sessions. The method may include initiating a navigation session for providing a set of navigation instructions to a user from a starting location to a destination location along a route, and receiving, from a user during the navigation session, an input including a request to create a reminder. The method may further include analyzing the input to determine: (i) a content of the reminder, and (ii) a trigger condition for providing the reminder, the trigger condition including a trigger location on the route, and storing the reminder, including the content and the trigger condition. The method may also include, detecting, during a subsequent navigation session, the trigger condition, and, in response to detecting the trigger condition, providing the reminder.

Abstract: Video streams uploaded to a video hosting platform are transcoded using quality-normalized transcoding parameters dynamically selected using a learning model. Video frames of a video stream are processed using the learning model to determine bitrate and quality score pairs for some or all possible transcoding resolutions. The listing of bitrate and quality score pairs determined for each resolution is processed to determine a set of transcoding parameters for transcoding the video stream into each resolution. The bitrate and quality score pairs of a given listing may be processed using one or more predefined thresholds, which may, in some cases, refer to a weighted distribution of resolutions according to watch times of videos of the video hosting platform. The video stream is then transcoded into the various resolutions using the set of transcoding parameters selected for each resolution.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: An encoding process performed by a computing device (e.g., a user's private device) can include obtaining private data that includes a private value. According to an aspect of the present disclosure, the computing device can produce a plurality of messages that respectively comprise a plurality of message values, where a total sum of the plurality of message values approximates the private value, and where at least one of the plurality of message values is randomly selected. The device can provide the plurality of messages for aggregation with a plurality of additional messages respectively generated for a plurality of additional private values. For example, the messages can be transmitted to a shuffler model configured to shuffle the plurality of messages with the plurality of additional messages.

Abstract: This disclosure is directed to a quantum computing system (QCS) that includes a cryogenic sub-system, a signal-generating element, a first signal-splitting element, a first transmission path, a second transmission path, a third transmission path, and a quantum device. A first environment is located outside the cryogenic sub-system and a second environment is associated with the cryogenic sub-system. The signal-generating element generates a first signal. The first signal-splitting element is positioned within the second environment. The quantum device is positioned within the cryogenic sub-system. The first transmission path transmits the first signal from the signal-generating element to the first signal-splitting element. The first signal-splitting element subdivides the first signal into a second signal and a third signal. The third transmission transmits the third signal from the first signal-splitting element to the first environment.

Abstract: The present disclosure provides a statistical, articulated 3D human shape modeling pipeline within a fully trainable, modular, deep learning framework. In particular, aspects of the present disclosure are directed to a machine-learned 3D human shape model with at least facial and body shape components that are jointly trained end-to-end on a set of training data. Joint training of the model components (e.g., including both facial, hands, and rest of body components) enables improved consistency of synthesis between the generated face and body shapes.