Abstract: An application update system performs staged rollouts to push new versions or features of applications to users quickly and with minimal negative impact to the users. The application update system allocates users of an application to populations. The populations specify a subset of users to receive a feature update for the application. The application update system performs a staged rollout of the feature update by iteratively pushing the feature update to the identified subset of users, monitoring the performance of the feature update, and, based on the performance, the application update system reallocates users to populations. For example, when the feature update performs successfully, the application update system allocates additional users to receive the feature update. When all users of the application have received the feature update, the staged rollout is designated as complete.

Abstract: Systems, methods, and vehicles for capacity based vehicle operation are provided. For example, a method can include receiving, by a computing system including one or more computing devices, object data based in part on one or more states of one or more objects. Based in part on the object data, the computing system can determine one or more features of the one or more objects. Based on a comparison of the one or more features of the one or more objects to a vehicle capacity criterion, the one or more objects that satisfy the vehicle capacity criterion can be determined. The vehicle capacity criterion can be based in part on a carrying capacity of an autonomous vehicle. In response to the one or more objects satisfying the vehicle capacity criterion, one or more control systems associated with operation of the autonomous vehicle can be activated by the computing system.

Abstract: Systems, methods, and vehicles for capacity based vehicle operation are provided. For example, a method can include receiving, by a computing system including one or more computing devices, object data based in part on one or more states of one or more objects. Based in part on the object data, the computing system can determine one or more features of the one or more objects. Based on a comparison of the one or more features of the one or more objects to a vehicle capacity criterion, the one or more objects that satisfy the vehicle capacity criterion can be determined. The vehicle capacity criterion can be based in part on a carrying capacity of an autonomous vehicle. In response to the one or more objects satisfying the vehicle capacity criterion, one or more control systems associated with operation of the autonomous vehicle can be activated by the computing system.

Abstract: Systems, methods, and vehicles for capacity based vehicle operation are provided. For example, a method can include receiving, by a computing system including one or more computing devices, object data based in part on one or more states of one or more objects. Based in part on the object data, the computing system can determine one or more features of the one or more objects. Based on a comparison of the one or more features of the one or more objects to a vehicle capacity criterion, the one or more objects that satisfy the vehicle capacity criterion can be determined. The vehicle capacity criterion can be based in part on a carrying capacity of an autonomous vehicle. In response to the one or more objects satisfying the vehicle capacity criterion, one or more control systems associated with operation of the autonomous vehicle can be activated by the computing system.

Abstract: An application update system performs staged rollouts to push new versions or features of applications to users quickly and with minimal negative impact to the users. The application update system allocates users of an application to populations. The populations specify a subset of users to receive a feature update for the application. The application update system performs a staged rollout of the feature update by iteratively pushing the feature update to the identified subset of users, monitoring the performance of the feature update, and, based on the performance, the application update system reallocates users to populations. For example, when the feature update performs successfully, the application update system allocates additional users to receive the feature update. When all users of the application have received the feature update, the staged rollout is designated as complete.

Abstract: Systems, methods, and vehicles for capacity based vehicle operation are provided. For example, a method can include receiving, by a computing system including one or more computing devices, object data based in part on one or more states of one or more objects. Based in part on the object data, the computing system can determine one or more features of the one or more objects. Based on a comparison of the one or more features of the one or more objects to a vehicle capacity criterion, the one or more objects that satisfy the vehicle capacity criterion can be determined. The vehicle capacity criterion can be based in part on a carrying capacity of an autonomous vehicle. In response to the one or more objects satisfying the vehicle capacity criterion, one or more control systems associated with operation of the autonomous vehicle can be activated by the computing system.

Abstract: Embodiments include apparatuses, systems, and methods mobile coprocessing. A connection is established between a mobile device and an auxiliary computing device. The mobile device implements a CPU abstraction layer and a virtual CPU between a software stack and a CPU of the mobile device. The abstraction layer allows for the mobile device to offload tasks to the auxiliary computing device while the software stack interacts with the abstraction layer as if the tasks are being executed by the CPU of the mobile device. The mobile device of allocates tasks to the auxiliary computing device based on various parameters, including properties of the auxiliary computing device, metrics of the connection, and priorities of the tasks.

Abstract: Embodiments include apparatuses, systems, and methods mobile coprocessing. A connection is established between a mobile device and an auxiliary computing device. The mobile device implements a CPU abstraction layer and a virtual CPU between a software stack and a CPU of the mobile device. The abstraction layer allows for the mobile device to offload tasks to the auxiliary computing device while the software stack interacts with the abstraction layer as if the tasks are being executed by the CPU of the mobile device. The mobile device of allocates tasks to the auxiliary computing device based on various parameters, including properties of the auxiliary computing device, metrics of the connection, and priorities of the tasks.