Abstract: An electronic device may have a power system. The power system may receive power such as wireless power or wired power and may use a portion of the received power to charge a battery. Power consumption by control circuitry in the device can be adjusted by deactivating or activating processor cores in the control circuitry and by selectively starting or stopping software activities. By selectively reducing power consumption by circuitry in the electronic device other than battery charging circuitry in the power system that is charging the battery, additional power may be made available to charge the battery and/or battery capacity can be extended. The electronic device may reduce non-battery-charging activities in the device in response to information gathered with sensors such as motion and temperature information, information from the power system, information on device location, information on software settings, and other information.

Abstract: An electronic device can include a power system including a battery and a processor programmed to: receive synchronized context data from one or more other devices associated with a user of the device, determine, at least in part based on the synchronized context data, one or more battery charging intervals, and operate the power system to charge the battery from the external power source during the identified one or more battery charging intervals. The processor can be programmed to determine the one or more battery charging intervals using a machine learning model. The synchronized context data can provide indication of the user's location. If the synchronized context data indicates that the user is at a different location than the device, the one or more battery charging intervals determined based at least in part on an expected time for the user to return to the location of the device.

Abstract: Synchronizing context information between a plurality of electronic devices associated with a user, each device including one or more processors, communication interfaces, and memory or storage, can be performed by at least one of the devices and can include subscribing to one or more contexts, each context corresponding one or more properties, statuses, or other information corresponding to another of the plurality of electronic devices; and receiving periodic updates of the one or more subscribed contexts from a data store shared or distributed among the plurality of devices, wherein receiving periodic updates comprises pulling the periodic updates from the data store or receiving pushed updates from the data store. The subscribed contexts can be filtered based on at least one of relevance or importance, wherein the relevance or importance of each context controls the frequency, scheduling, and prioritization of updates for that context.

Abstract: The present disclosure generally relates to methods for managing charging of an electronic device.

Abstract: An electronic device can include a power system including a battery and one or more processors programmed to: detect that the electronic device has been connected to a power source, predict using prior usage data of the electronic device whether battery usage between an expected time of disconnection from the power source and a next expected time of connection to the power source exceeds a threshold, and if the predicted battery usage between an expected time of disconnection from the power source and a next expected time of connection to the power source does not exceed the threshold, charge the battery to a state of charge less than the full state of charge of the battery.

Abstract: Reducing power consumption in an electronic device can include analyzing device usage data associated with the device to predict an extended period of user inactivity, the usage data including at least one of historical usage data and present usage signals and entering an enhanced reduced power state by implementing one or more power saving optimizations for at least a portion the extended period of extended user inactivity, the one or more power saving optimizations slowing, delaying, or interrupting one or more normal activities normally performed by the device. The method can further include exiting the enhanced reduced power state by suspending the one or more power saving optimizations. Exiting the enhanced reduced power state can be performed in response to at least one of: user activity; a specified user routine; or a time predicted by the analyzing device usage data.

Abstract: An electronic device may have a power system. The power system may receive power such as wireless power or wired power and may use a portion of the received power to charge a battery. Power consumption by control circuitry in the device can be adjusted by deactivating or activating processor cores in the control circuitry and by selectively starting or stopping software activities. By selectively reducing power consumption by circuitry in the electronic device other than battery charging circuitry in the power system that is charging the battery, additional power may be made available to charge the battery and/or battery capacity can be extended. The electronic device may reduce non-battery-charging activities in the device in response to information gathered with sensors such as motion and temperature information, information from the power system, information on device location, information on software settings, and other information.

Abstract: Aspects of the subject technology relate to power consuming processes of electronic devices. For example, an electronic device may create, initiate, and/or modify a power consuming process of the electronic device, based in part on user power consumption information that indicates a typical amount of power consumed by a user of the electronic device. The electronic device may recommend increases in power consumption for low power consumption users and/or decreases in power consumption for high power consumption users. A power consumption process may include a visual arrangement of graphical elements that each display periodically, occasionally, and/or continuously updated information from the application, when a full user interface of the application is not displayed.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to enter either a low-power sleep state or a high-power sleep state.

Abstract: Aspects of the subject technology relate to power consuming processes of electronic devices. For example, an electronic device may create, initiate, and/or modify a power consuming process of the electronic device, based in part on user power consumption information that indicates a typical amount of power consumed by a user of the electronic device. The electronic device may recommend increases in power consumption for low power consumption users and/or decreases in power consumption for high power consumption users. A power consumption process may include a visual arrangement of graphical elements that each display periodically, occasionally, and/or continuously updated information from the application, when a full user interface of the application is not displayed.

Abstract: Aspects of the subject technology relate to power consuming processes of electronic devices. For example, an electronic device may create, initiate, and/or modify a power consuming process of the electronic device, based in part on user power consumption information that indicates a typical amount of power consumed by a user of the electronic device. The electronic device may recommend increases in power consumption for low power consumption users and/or decreases in power consumption for high power consumption users. A power consumption process may include a visual arrangement of graphical elements that each display periodically, occasionally, and/or continuously updated information from the application, when a full user interface of the application is not displayed.

Abstract: This disclosure provide various techniques for decreasing the amount of energy consumed on an electronic device by one or more background processes. By implementing a fast energy accounting engine that may quickly detect changes in energy usage by the background processes and report the changes to a dynamic activity scheduler, a system may decrease the overall energy consumed by the one or more background processes.

Abstract: Manners of scheduling downloads for a user equipment (UE). The UE is configured to establish a connection to a network and receive an indication of a user-initiated download, determining whether the download is to be performed now or at a subsequent time, when the download is to be performed at the subsequent time, determine a time window during which the download is to be initiated and initiate the download during the time window.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to enter either a low-power sleep state or a high-power sleep state.

Abstract: This application relates to techniques that adjust the sleep states of a computing device based on proximity detection and predicted user activity. Proximity detection procedures can be used to determine a proximity between the computing device and a remote computing device coupled to the user. Based on these proximity detection procedures, the computing device can either correspondingly increase or decrease the amount power supplied to the various components during either a low-power sleep state or a high-power sleep state. Additionally, historical user activity data gathered on the computing device can be used to predict when the user will likely use the computing device. Based on the gathered historical user activity, deep sleep signals and light sleep signals can be issued at a time when the computing device is placed within a sleep state which can cause it to enter either a low-power sleep state or a high-power sleep state.

Abstract: A method of controlling charging of an electronic device includes estimating a usage time value that corresponds to an anticipated future occurrence of usage of the electronic device; and estimating a resume time value that corresponds to a time for charging to commence to allow for completion of charging from a first predetermined state of charge value to a second predetermined state of charge value by the usage time value. The method also includes charging a battery of the electronic device using electrical power supplied by a charging device until a current state of charge of the battery reaches the first predetermined state of charge value, entering, by the electronic device, a deactivated mode after the current state of charge reaches the first predetermined state of charge value, and causing the electronic device to return to the activated mode according to the resume time value.

Abstract: A method of controlling charging of a wireless headphone device includes estimating a usage time value that corresponds to an anticipated future occurrence of usage of the wireless headphone device and estimating a resume time value that corresponds to a time for charging to commence to allow for completion of charging from a first predetermined state of charge value to a second predetermined state of charge value by the usage time value. The method also includes determining that the wireless headphone device has been placed in a charging case. A battery of the wireless headphone device is charged to the first predetermined state of charge value and then enters a deactivated mode, wherein the charging case is configured to return the wireless headphone device to an activated mode according to the resume time value.

Abstract: Embodiments described herein provide techniques to encode sequential data in a privacy preserving manner before the data is sent to a sequence learning server. The server can then determine aggregate trends within an overall set of users, without having any specific knowledge about the contributions of individual users. The server can be used to learn new words generated by user client devices in a crowdsourced manner while maintaining local differential privacy of client devices. The server can also learn other sequential data including typed, autocorrected, revised text sequences, sequences of application launches, sequences of purchases on an application store, or other sequences of activities that can be performed on an electronic device.

Abstract: An electronic device may have a power system. The power system may receive power such as wireless power or wired power and may use a portion of the received power to charge a battery. Power consumption by control circuitry in the device can be adjusted by deactivating or activating processor cores in the control circuitry and by selectively starting or stopping software activities. By selectively reducing power consumption by circuitry in the electronic device other than battery charging circuitry in the power system that is charging the battery, additional power may be made available to charge the battery and/or battery capacity can be extended. The electronic device may reduce non-battery-charging activities in the device in response to information gathered with sensors such as motion and temperature information, information from the power system, information on device location, information on software settings, and other information.

Abstract: An electronic device may have a power system with a battery. The power system receives power such as wireless power or wired power and uses a portion of the received power to charge the battery as needed. Control circuitry in the portable electronic device is used to run background processes such as image processing tasks, data synchronization tasks, indexing, and other background processes. In some circumstances, such as when the battery is below a certain state of charge threshold, background processes may be stopped so that the battery is charged as fast as possible. Once above this initial state of charge threshold, background processes may be performed during charging as long as the temperature and state of charge of the battery do not exceed safety temperature and safety state of charge values. Performing background processes in these conditions ensures requisite background processing tasks are completed while preserving battery health.