Abstract: A sensing system includes a sensor assembly and a back end server system. The sensor assembly includes a collection of sensors in communication with a control circuit. The sensors are each configured to sense one or more physical phenomena in an environment of the sensor assembly. The control circuit of the sensor assembly is configured to identify one or more selected sensors of the collection of sensors whose data corresponds to an event occurring in the environment of the sensor assembly and transmit data to the back end server system. The back end server system is configured to generate a first order virtual sensor by training a machine learning model to detect the event based on the data from at least one of the selected sensors and detect the event using the trained first order virtual sensor and data from the selected sensors.

Abstract: A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.

Abstract: A sensing system includes a sensor assembly that is communicably connected to a computer system, such as a server or a cloud computing system. The sensor assembly includes a plurality of sensors that sense a variety of different physical phenomena. The sensor assembly featurizes the raw sensor data and transmits the featurized data to the computer system. Through machine learning, the computer system then trains a classifier to serve as a virtual sensor for an event that is correlated to the data from one or more sensor streams within the featurized sensor data. The virtual sensor can then subscribe to the relevant sensor feeds from the sensor assembly and monitor for subsequent occurrences of the event. Higher order virtual sensors can receive the outputs from lower order virtual sensors to infer nonbinary details about the environment in which the sensor assemblies are located.

Abstract: Techniques for increasing the battery life on a mobile device by decreasing the energy consumption of the mobile device's wireless fidelity (Wi-Fi) interface are described. In one embodiment, the mobile device's Wi-Fi interface is automatically disabled when the device is not engaged. When the device receives a wake up call from a server via its Cellular interface, the Wi-Fi interface is enabled if the device answers the wake up call and the Wi-Fi interface is available. Using its Wi-Fi interface, the mobile device then connects to an IP-based network via a Wi-Fi access point.

Abstract: Techniques for increasing the battery life on a mobile device by decreasing the energy consumption of the mobile device's wireless fidelity (Wi-Fi) interface are described. In one embodiment, the mobile device's Wi-Fi interface is automatically disabled when the device is not engaged. When the device receives a wake up call from a server via its Cellular interface, the Wi-Fi interface is enabled if the device answers the wake up call and the Wi-Fi interface is available. Using its Wi-Fi interface, the mobile device then connects to an IP-based network via a Wi-Fi access point.

Abstract: This application includes systems and techniques that permit computers to remain accessible while in a low-power mode. In some implementations, the technique includes receiving at a first computer, via a computer network, information regarding a second computer transitioning to a low-power mode of operation; receiving at the first computer network communications designated for the second computer; processing at the first computer at least a portion of the network communications on behalf of the second computer without transitioning the second computer out of the low-power mode of operation, where the processing comprises processing the at least a portion of the network communications on behalf of the second computer within a virtual machine corresponding to the second computer; and initiating, via the computer network, a transition of the second computer out of the low-power mode of operation when at least one of the network communications satisfies a predetermined condition.

Abstract: Techniques for increasing the battery life on a mobile device by decreasing the energy consumption of the mobile device's wireless fidelity (Wi-Fi) interface are described. In one embodiment, the mobile device's Wi-Fi interface is automatically disabled when the device is not engaged. When the device receives a wake up call from a server via its Cellular interface, the Wi-Fi interface is enabled if the device answers the wake up call and the Wi-Fi interface is available. Using its Wi-Fi interface, the mobile device then connects to an IP-based network via a Wi-Fi access point.

Abstract: Methods of reducing power consumption in a computing device are described in which file sharing applications which are running in the background are offloaded onto a lower power subsystem and the rest of the computing device can be put into a low power state. The lower power subsystem runs application stubs which autonomously execute a subset of the operations performed by a file sharing application which was previously running on the computing device. Before the rest of the computing device goes into the low power state, application state information is passed to the lower power subsystem for use by the application stubs. In an example, the application stub may continue to download files whilst the rest of the computing device is in standby or is shutdown and the application state information may include details of the files that are to be downloaded.

Abstract: Techniques for increasing the battery life on a mobile device by decreasing the energy consumption of the mobile device's wireless fidelity (Wi-Fi) interface are described. In one embodiment, the mobile device's Wi-Fi interface is automatically disabled when the device is not engaged. When the device receives a wake up call from a server via its Cellular interface, the Wi-Fi interface is enabled if the device answers the wake up call and the Wi-Fi interface is available. Using its Wi-Fi interface, the mobile device then connects to an IP-based network via a Wi-Fi access point.

Abstract: Techniques for increasing the battery life on a mobile device by decreasing the energy consumption of the mobile device's wireless fidelity (Wi-Fi) interface are described. In one embodiment, the mobile device's Wi-Fi interface is automatically disabled when the device is not engaged in a voice over internet protocol (VoIP) call via the Wi-Fi interface. When a VoIP call is initiated on the device, or when the device receives a wake up call from a server via its Cellular interface, the Wi-Fi interface is automatically enabled. Using its Wi-Fi interface, the mobile device then connects to an IP-based network via a Wi-Fi access point. The server then initiates a direct call, wherein VoIP technology is used by the mobile device, between the mobile device and a VoIP calling device.

Abstract: Methods of reducing power consumption of networked devices are described. When a main processor and associated hardware in a computing device is powered down, a processing element, with lower power consumption than the main processor, performs networking functions on behalf of the main processor. The processing element monitors events and wakes the main processor when defined criteria are satisfied. In an embodiment, these network functions may be to maintain existing network connections and/or establish new network connections and the defined criteria may relate to messages received by the device which are analyzed by the processing element running the application layer code and these criteria may be configurable by a user of the device.

Abstract: This application includes systems and techniques that permit computers to remain accessible while in a low-power mode. In some implementations, the technique includes receiving at a first computer, via a computer network, information regarding a second computer transitioning to a low-power mode of operation; receiving at the first computer network communications designated for the second computer; processing at the first computer at least a portion of the network communications on behalf of the second computer without transitioning the second computer out of the low-power mode of operation, where the processing comprises processing the at least a portion of the network communications on behalf of the second computer within a virtual machine corresponding to the second computer; and initiating, via the computer network, a transition of the second computer out of the low-power mode of operation when at least one of the network communications satisfies a predetermined condition.

Abstract: Methods of reducing power consumption in a computing device are described in which file sharing applications which are running in the background are offloaded onto a lower power subsystem and the rest of the computing device can be put into a low power state. The lower power subsystem runs application stubs which autonomously execute a subset of the operations performed by a file sharing application which was previously running on the computing device. Before the rest of the computing device goes into the low power state, application state information is passed to the lower power subsystem for use by the application stubs. In an example, the application stub may continue to download files whilst the rest of the computing device is in standby or is shutdown and the application state information may include details of the files that are to be downloaded.

Abstract: Methods of reducing power consumption of networked devices are described. When a main processor and associated hardware in a computing device is powered down, a processing element, with lower power consumption than the main processor, performs networking functions on behalf of the main processor. The processing element monitors events and wakes the main processor when defined criteria are satisfied. In an embodiment, these network functions may be to maintain existing network connections and/or establish new network connections and the defined criteria may relate to messages received by the device which are analyzed by the processing element running the application layer code and these criteria may be configurable by a user of the device.

Abstract: Techniques for increasing the battery life on a mobile device by decreasing the energy consumption of the mobile device's wireless fidelity (Wi-Fi) interface are described. In one embodiment, the mobile device's Wi-Fi interface is automatically disabled when the device is not engaged in a voice over internet protocol (VoIP) call via the Wi-Fi interface. When a VoIP call is initiated on the device, or when the device receives a wake up call from a server via its Cellular interface, the Wi-Fi interface is automatically enabled. Using its Wi-Fi interface, the mobile device then connects to an IP-based network via a Wi-Fi access point. The server then initiates a direct call, wherein VoIP technology is used by the mobile device, between the mobile device and a VoIP calling device.

Abstract: Techniques for increasing the battery life on a mobile device by decreasing the energy consumption of the mobile device's wireless fidelity (Wi-Fi) interface are described. In one embodiment, the mobile device's Wi-Fi interface is automatically disabled when the device is not engaged. When the device receives a wake up call from a server via its Cellular interface, the Wi-Fi interface is enabled if the device answers the wake up call and the Wi-Fi interface is available. Using its Wi-Fi interface, the mobile device then connects to an IP-based network via a Wi-Fi access point.