Razer (asia-pacific) Pte. Ltd.

Nextbit Systems Inc.

Other

Skydio, Inc.

Nexbit Systems Inc.

Tom Moss

Michael A Chan

Justin Quan

Linda Tong

Daniel Reuben Bornstein

Michael K Fleming

Jaikumar Ganesh

Abraham Galton Bachrach

Adam Parker Bry

Hayk Martirosyan

Matthew Joseph Donahoe

Matthew Blake Engel

William Duncan McVicker

Daniel R Borstein

Sports and fitness applications for an autonomous unmanned aerial vehicle (UAV) are described. In an example embodiment, a UAV can be configured to track a human subject using perception inputs from one or more onboard sensors. The perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. In some embodiments, the perception inputs can be utilized to autonomously maneuver the UAV to lead the human subject to satisfy a performance goal. The UAV can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.

Fitness and sports applications for an autonomous unmanned aerial vehicle

Some examples include detecting that a source computing device is in proximity to a target computing device. For instance, a user credential of the source computing device may be received from the source computing device. Further, a copy of system data of the source computing device may be retrieved from a cloud storage service. A system state of the source computing device may be restored on the target computing device by using the user credential received from the source computing device and the copy of the system data of the source computing device retrieved from the cloud storage. In some cases, the user credential may expire on the target computing device after a predetermined system event in the target computing device.

Electronic device system restoration by tapping mechanism

In some examples, an electronic device may determine a target time to which the remaining battery charge is to last, such as based on a user input or historical usage of the electronic device. Additionally, the electronic device may determine a current amount of the battery charge remaining, and may determine user activities likely to occur between the present time and the target time. Based at least partially on the amount of the battery charge remaining and the user activities determined to be likely to occur before the target time, the electronic device may apply one or more power management restrictions to one or more resources of the electronic device.

Power management on an electronic device

Some examples of application state synchronization may include receiving, at a server, application state data from an electronic device. For instance, the application state data may represent an application state of a computer application running at the electronic device when a backup event occurs. An analysis may be performed based on at least one of a user profile or a usage pattern. A set of electronic devices may be identified based on the analysis. Further, the application state data may be transmitted to the set of electronic devices.

Application state backup and restoration across multiple devices

Some examples include optimizing system performance by generating a version vector that includes a plurality of attributes associated with a computing device. For instance, the plurality of attributes associated with the computing device may include a device type of the computing device. The plurality of attributes from the version vector may be analyzed to determine a usage pattern of a user of the computing device. In addition, a configuration of the computing device may be adjusted based on the usage pattern. In some cases, adjusting of the configuration of the computing device may include adjusting, based on the usage pattern, one or more of a power consumption of the computing device or a CPU running time of the computing device.

Utilizing version vectors across server and client changes to determine device usage by type, app, and time of day

Some examples include performing a priority synchronization of a computing device to download a selected set of data files to the computing device from a distributed backup system. Data files are downloaded to a computing device by synchronizing with a server of the distributed backup system. A priority sync downloads a subset of the data files as priority files, rather than all of the data files of the user, thereby minimizing the computing resources consumed to download the data files. The priority sync can select the priority files based on various criteria, including an access pattern of the data files, attributes of the data files, or attributes of the computing device. The priority sync may also download non-priority files. The priority files may be downloaded in their original format and the non-priority files may be downloaded in a downgraded format.

Prioritizing file synchronization in a distributed computing system

Some examples include backing up and retrieving data in a distributed backup system. For instance, a server may receive a request to backup multiple data files of a user to multiple computing devices associated with the user. Each of the multiple computing devices may be associated with one or more data backup policies for storing a set of data files. The server may identify, for each of the data files, the one or more data backup policies with which the corresponding data file matches and a corresponding set of the multiple computing devices associated with the one or more of the data backup policies. Further, the server may transmit each of the data files to the corresponding set of computing devices.

Utilizing user devices for backing up and retrieving data in a distributed backup system

Various embodiments generally relate to decentralized operating systems spanning multiple devices. More specifically, some embodiments relate to continuous and concurrent device experiences across the multiple devices. For example, a user may be streaming a movie through a service provided via a smart television. When the user's phone detects an incoming video call, the television can recognize that a video call is coming in and ask the user if the user wants to answer the call. If the user responds in the affirmative, the television can pause the streaming video from the service provide allowing the user to answer their phone. In some cases, the television can be used as the display screen to display the video call while the local phone resources (e.g., video camera) can be used as the recording device.

Continuous and concurrent device experience in a multi-device ecosystem

Some examples include one or more processors that optimize the storage capacity of a computing device of a user. For instance, the one or more processors may receive, from the computing device, an indication of a request to download a data file. In addition, the one or more processors may determine a device classification associated with the computing device and a user access pattern associated with the data file. Further, the one or more processors may perform a downsampling of the data file based on the device classification and the user access pattern in response to the request, and may transmit the downsampled data file to the computing device.

Storage optimization in computing devices

Various embodiments are disclosed for enabling multiple computing devices having a decentralized operating system to effectively monitor and manage resources across the multiple devices. In some embodiments, the systems are able to identify a set of local resources available for utilization by an application running on the decentralized operating system. A resource message identifying the set of local resources can be generated using a resource discovery and utilization application programming interface. This information can then be sent to a requestor (e.g., an application running on the decentralized operating system) which can create a resource utilization plan.

API for resource discovery and utilization

The disclosure is directed to presenting a unified view of tasks and applications across multiple computing devices of a user. A unified view of the tasks can be presented using a task manager. The task manager presents a list of tasks that are executing at each of the devices. The user can perform multiple actions on the tasks, e.g., launch on a first device a task executing on a second device from the first device, or terminate from the first device a task that is executing on the second device. A unified view of the applications can be presented using an app tray. The app tray displays a list of apps installed on each of the devices of the user. In displaying the list on a particular device, the app tray displays the apps that are not installed on the particular device in a distinct format, e.g., as shadow icons.

Multi-tasker

Technology disclosed herein includes a method for loading a carrier specific OS onto a computing device depending on what network the computing device is connected to. The computing device detects an identity of a network to which a computing device is connected or is to be connected during a network identification process executed on the computing device. The network can be identified, e.g., by examining a subscriber identification module (SIM) card electronically connected to the computing device. The device then sends a request including the identity of the network to a remote registration service. In turn the device receives an instruction from the remote registration service identifying a distribution of an operating system (OS) specific for the network. After retrieving the OS distribution, the device loads the distribution of the operating system on the computing device.

Customizing operating system based on detected carrier

Some examples include backing up and restoring an application state across multiple devices. For example, an instance of a computer application may be executed at a first electronic device and a backup event that occurs in the first electronic device may be determined. The backup event may suggest a backup of application state data and the application state data may represent an application state of the computer application at the backup event. The application state data of the computer application is transmitted to a remote storage service in response to the backup event. A second electronic device can retrieve the application state data from the remote storage service and restore the application state.

The subject disclosure relates to systems and methods for casting an application from a source device to a destination device. In particular, a process can include steps for causing a source application executing as a foreground process in an operating system of a source computing device to store state data, transmitting the state data of the source application to a set of destination computing devices, and transmitting a cast command to the destination computing device, where the cast command is configured to instruct the destination computing device to execute the source application on the destination computing device using the state data.

Growing community of inventors

Los Altos, CA, United States of America

Tom Moss