Abstract: A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.

Abstract: This document describes systems and techniques to avoid and manage poor wireless connections on mobile devices. The described systems and techniques can determine, based on a determined signal quality or signal strength of a current wireless connection, that a superior signal quality or a superior signal strength is available at a location adjacent to, or within a determined distance of, a current location of the mobile device. In response to determining that the superior signal quality or the superior signal strength is available at the location, the mobile device can provide an alert to a user. The alert can indicate the location adjacent to, or within the determined distance of, the mobile device. In this way, the described systems and techniques can direct users to better network connections or alleviate their impact.

Abstract: A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.

Abstract: This document describes systems and techniques to enable selectable controls for interactive voice response (IVR) systems. The described systems and techniques can determine whether audio data associated with a voice or video call between a user of a computing device and a third party includes multiple selectable options. The third party audibly provides the selectable options during the call. In response to determining that the audio data includes the selectable options, the computing device can determine a text description of the multiple selectable options. The described systems and techniques can then display two or more selectable controls on a display. The user can select a selectable control to indicate a selected option of the multiple selectable options. In this way, the described systems and techniques can improve a user experience with voice calls and video calls by making IVR systems easier to navigate and understand.

Abstract: The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.

Abstract: A method includes, while a user device is using a first presentation mode to present content to a user, obtaining a current state of the user of the user device. The method also includes, based on the current state of the user, providing, as output from a user interface of the user device, a user-selectable option that when selected causes the user device to use a second presentation mode to present the content to the user. The method further includes, in response to receiving a user input indication indicating selection of the user-selectable option, initiating presentation of the content using the second presentation mode.

Abstract: A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.

Abstract: This document describes methods and systems of on-device real-time translation for media content on a mobile electronic device. The translation is managed and executed by an operating system of the electronic device rather than within a particular application executing on the electronic device. The operating system can translate media content, including visual content displayed on a display device of the electronic device or audio content output by the electronic device. Because the translation is at the OS level, the translation can be implemented, automatically or based on a user input, across a variety of (including all) applications and a variety of content on the electronic device to provide a consistent translation experience, which is provided via a system UI overlay that displays translated text as captions to video content or as a replacement to on-screen text.

Abstract: The present disclosure is directed to input suggestion. In particular, the methods and systems of the present disclosure can: receive, from a first application executed by one or more computing devices, data indicating information that has been presented by and/or input into the first application; generate, based at least in part on the received data, one or more suggested candidate inputs for a second application executed by the computing device(s); provide, in association with the second application, an interface comprising one or more options to select at least one suggested candidate input of the suggested candidate input(s); and responsive to receiving data indicating a selection of a particular suggested candidate input of the suggested candidate input(s) via the interface, communicate, to the second application, data indicating the particular suggested candidate input.

Abstract: A method includes, while a user device is using a first presentation mode to present content to a user, obtaining a current state of the user of the user device. The method also includes, based on the current state of the user, providing, as output from a user interface of the user device, a user-selectable option that when selected causes the user device to use a second presentation mode to present the content to the user. The method further includes, in response to receiving a user input indication indicating selection of the user-selectable option, initiating presentation of the content using the second presentation mode.

Abstract: The application is directed to edge lighting for computing device (200)s (200). The computing device (200) may include a display including a first portion (280) and a second portion (270), where the first portion (280) includes a substantial portion of a perimeter of the display and excludes the second portion (270) of the display. The computing device (200) may also include one or more processors (210) configured to determine a change in a status of the computing device (200), and determine, based on the change in the status, a visual notification (306). The one or more processors (210) may also be configured to interface with the first portion (280) of the display to output, based on the visual notification, a pattern of light (308).

Abstract: Systems and methods for determining identifying semantic entities in audio signals are provided. A method can include obtaining, by a computing device comprising one or more processors and one or more memory devices, an audio signal concurrently heard by a user. The method can further include analyzing, by a machine-learned model stored on the computing device, at least a portion of the audio signal in a background of the computing device to determine one or more semantic entities. The method can further include displaying the one or more semantic entities on a display screen of the computing device.

Abstract: Systems and methods for determining identifying semantic entities in audio signals are provided. A method can include obtaining, by a computing device comprising one or more processors and one or more memory devices, an audio signal concurrently heard by a user. The method can further include analyzing, by a machine-learned model stored on the computing device, at least a portion of the audio signal in a background of the computing device to determine one or more semantic entities. The method can further include displaying the one or more semantic entities on a display screen of the computing device.

Abstract: A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.

Abstract: A method includes, while a user device is using a first presentation mode to present content to a user, obtaining a current state of the user of the user device. The method also includes, based on the current state of the user, providing, as output from a user interface of the user device, a user-selectable option that when selected causes the user device to use a second presentation mode to present the content to the user. The method further includes, in response to receiving a user input indication indicating selection of the user-selectable option, initiating presentation of the content using the second presentation mode.

Abstract: A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.

Abstract: Provided are methods, systems, and devices for generating semantic objects and an output based on the detection or recognition of the state of an environment that includes objects. State data, based in part on sensor output, can be received from one or more sensors that detect a state of an environment including objects. Based in part on the state data, semantic objects are generated. The semantic objects can correspond to the objects and include a set of attributes. Based in part on the set of attributes of the semantic objects, one or more operating modes, associated with the semantic objects can be determined. Based in part on the one or more operating modes, object outputs associated with the semantic objects can be generated. The object outputs can include one or more visual indications or one or more audio indications.

Abstract: A computing system can include an artificial intelligence system including one or more machine-learned models that are configured to receive a model input that includes context data, and, in response, output a model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to obtain the context data during a first time interval; input the model input that includes the context data into the machine-learned model(s); receive, as an output of the machine-learned model(s), the model output that describes the one or more semantic entities referenced by the context data; store the model output in at least one tangible, non-transitory computer-readable medium; and provide, for display in a user interface during a second time interval that is after the first time interval, a suggested action with respect to the semantic entity or entities described by the model output.

Abstract: Provided are methods, systems, and devices for generating semantic objects and an output based on the detection or recognition of the state of an environment that includes objects. State data, based in part on sensor output, can be received from one or more sensors that detect a state of an environment including objects. Based in part on the state data, semantic objects are generated. The semantic objects can correspond to the objects and include a set of attributes. Based in part on the set of attributes of the semantic objects, one or more operating modes, associated with the semantic objects can be determined. Based in part on the one or more operating modes, object outputs associated with the semantic objects can be generated. The object outputs can include one or more visual indications or one or more audio indications.

Abstract: A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.