Abstract: A method for predicting a property of a sample molecule involves, for each of a multitude of reference molecules, obtaining a multitude of fingerprints and at least one property, and obtaining the multitude of fingerprints of the sample molecule. The method further involves for each of the multitude of reference molecules, using each of the multitude of fingerprints, calculating distances to the sample molecule, and for each of the multitude of reference molecules, determining a relative predictive dominance, based on the distances to the sample molecule. The method also involves, for each of the multitude of reference molecules, determining a fitness value based on the relative predictive dominance, and predicting the at least one property of the sample molecule based on the at least one property of the multitude of reference molecules and the fitness values obtained for the reference molecules.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for visual authentication. In some implementations, a method may include obtaining images of a person at a property; detecting a discontinuity in an appearance of the person in the images of the person at the property; determining that the discontinuity does not correspond to a known occlusion; and providing an indication of a potential spoofing attack.

Abstract: A surgical tissue connector system for moving a first internal body tissue to a position away from a second internal body tissue and then holding the first internal body tissue in the position. Tissue connectors are secured to cords such that the length of cord between the tissue connectors can be easily adjusted in a laparoscopic work space.

Abstract: In some implementations, techniques are described for detecting abnormal installations in a property monitored by a monitoring (e.g., security) system. For instance, an aberration engine may be used to detect an abnormal sensor or system installation within a property based on comparing detected installation data against local installation patterns of local providers within a certain proximity to the property. In some examples, the attributes (e.g., installation time, components used, number of tests performed, etc.) of a monitoring system installation, including installation of components of the monitoring system, may be compared to average installation times of other nearby installations to detect abnormalities in the installation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a non-transitory computer storage medium, for receiving user-defined routes, each user-defined route including a tripwire of multiple tripwires and a direction, where each user-defined route includes an action of multiple actions executed by a sub-system of a home monitoring system, detecting a first signal at a first tripwire including a first direction, determining a set of user-defined routes including the first tripwire and the first direction, detecting a second signal at a second tripwire including a second direction, determining a particular user-defined route of the set of user-defined routes including the first tripwire and the first direction and the second tripwire and the second direction, determining an action executed by a sub-system of the home monitoring system for the particular user-defined route traversed by a user, and triggering execution of the action based on the second signal at the second tripwire.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a user interface dynamically. One of the methods includes detecting sensors that are installed at a physical location associated with a user account; determining data for the user account associated with a user device; selecting, based on the sensors that are installed at the physical location and the data for the user account associated with the user device, a graphical user interface component to show in a user interface on a display of the user device from a set of graphical user interface components; and providing the graphical user interface component to show in the user interface on the display of the user device.

Abstract: A test manager and media interface (TMMI) may manage testing procedures associated with a test such as a product test, capture media and sensor data associated with the test, and generate a synchronized multimedia presentation based on the captured media and sensor data. A TMMI include: a test environment having: a test applicator for applying a test stimulus to an item under test; a sensor that measures at least one test attribute; and a media capture element that captures media including video of the item under test. The TMMI may include a media interface that generates a graphical user interface including at least a portion of the media captured by the media capture element and the at least one attribute.

Abstract: Techniques are described for energy scoring of a monitored property and users of the monitored property. A system provides users with information related to the efficiency of the monitored property and aggregates data over multiple monitored properties. The system computes and outputs a score for a monitored property that reflects efficiency of the property and/or the users of the property. The system may track how that score changes through time, and how it relates to neighboring properties. The score may be expressed as both a number and a percentile.

Abstract: Methods and systems, including computer programs encoded on computer storage media, for reducing the likelihood of signaling failover in an alarm system, the method including identifying alarm events detected at monitored properties by monitoring systems that are located at the monitored properties; tracking the ability of a primary application infrastructure to transmit, to a central monitoring station server, the alarm events; detecting disruption in the ability of the primary application infrastructure to transmit the alarm events to the central monitoring station server; based on the detected disruption, enabling a signal transmission switch that switches a path for alarm events from the primary application infrastructure to a secondary application infrastructure, the secondary application infrastructure being an infrastructure operated by a cloud service provider; and based on enablement of the transmission switch, transmitting, by the secondary application infrastructure, at least one alarm event to the

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for preserving privacy in surveillance. The methods, systems, and apparatus include actions of determining a state of a monitoring system, determining an exclusion zone that is shown in a video, determining whether to obfuscate at least a portion of the video based on the exclusion zone and the state of the monitoring system, and obfuscating at least the portion of the video.

Abstract: Methods, systems, and apparatus, including computer programs encoded on storage devices, for drone-augmented emergency response services. In one aspect, a monitoring system, comprising: a plurality of monitoring control units, and a monitoring application server, wherein the monitoring application server includes a network interface, one or more processors, and one or more storage devices that include instructions to perform operations. The operations include receiving an emergency event notification from a first monitoring control unit of the plurality of monitoring control units, determining a type of emergency event, and a location associated with the emergency event notification, identifying one or more drones that can be deployed to the location associated with the emergency event, and transmitting an instruction to a monitoring station server associated with a drone base station to deploy the one or more identified drones to the location associated with the emergency event.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for implementing a smart firearm safety device. The safety device attaches to a firearm having a trigger and a slot for receiving a magazine. The safety device includes a locking mechanism that attaches to the trigger to preclude depressing a trigger of the firearm and a sensor that determines an orientation of the firearm or a relative motion of the firearm to indicate detected movement of the firearm. The safety device also includes a radio device that receives parameter signals from the sensor indicating movement of the firearm. The radio device communicates with a component of a property monitoring system to receive a command to engage the locking mechanism to preclude depressing the trigger of the firearm based on parameter signals indicating a particular type of detected movement of the firearm.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for monitoring a property using drone beacons. In one aspect, a monitoring system is disclosed that includes a drone, a drone beacon, a component, a processor, and a computer storage media storing instructions that, when executed by the processor, cause the processor to perform operations. The operations may include obtaining drone beacon data generated by the drone beacon, determining a location of the drone beacon based on the drone beacon data, after determining the location of the drone beacon, transmitting, to the drone, a first instruction to navigate towards the location of the drone beacon, after deploying the drone, obtaining component data generated by the component, and after obtaining the component data, transmitting, to the drone, a second instruction to navigate towards a different location than the location of the drone beacon based on the component data.

Abstract: Systems and methods for mapping configuration items to business functions within a corporate infrastructure are disclosed. Discovery processes to automatically create and update service maps may introduce an artificial dependency between configuration items that is not necessary to the business function represented in the service map. These unnecessary dependencies may be considered “noise” and unnecessarily complicate the service map. Using machine learning techniques and procedures to identify short lived connections embodiments in accordance with this disclosure, dependency connections that may be considered noise may be detected and flagged. Once detected, these connections may be automatically removed from the service map to improve its accuracy and usefulness. Additionally, a user interface is provided that explains the “reason codes” for identification of noise connections.

Abstract: In some implementations, techniques are described for detecting abnormal installations in a property monitored by a monitoring (e.g., security) system. For instance, an aberration engine may be used to detect an abnormal sensor or system installation within a property based on comparing detected installation data against local installation patterns of local providers within a certain proximity to the property. In some examples, the attributes (e.g., installation time, components used, number of tests performed, etc.) of a monitoring system installation, including installation of components of the monitoring system, may be compared to average installation times of other nearby installations to detect abnormalities in the installation.

Abstract: Alarm system technology, in which an alarm event is detected at a property monitored by an alarm system when the alarm system was set in an armed state. Based on detection of the alarm event, an alarm probability score that indicates a likelihood of the alarm event being an emergency situation is determined and the alarm event is handled based on the determined alarm probability score.

Abstract: Techniques are described for energy scoring of a monitored property and users of the monitored property. A system provides users with information related to the efficiency of the monitored property and aggregates data over multiple monitored properties. The system computes and outputs a score for a monitored property that reflects efficiency of the property and/or the users of the property. The system may track how that score changes through time, and how it relates to neighboring properties. The score may be expressed as both a number and a percentile.

Abstract: Methods and systems, including computer programs encoded on a computer storage-medium, are disclosed for implementing intelligent detection of wellness events using mobile device sensors and cloud-based learning systems. A system obtains sensor data generated by sensors integrated in a mobile device of a user. A machine-learning (ML) engine of the system generates a predictive model that identifies behavioral trends of the user. The model is generated using a neural network trained to identify patterns representing user trends in the sensor data. Based on communications with the device, the model is used to generate activity profiles of the user from the behavioral trends. The model is used to detect abnormal events involving the user when a parameter value of the activity profile exceeds a threshold. Notifications directed to assisting the user with alleviating the abnormal event are generated after detecting the abnormal events.

Abstract: Systems and methods are disclosed for network event grouping. For example, methods may include generating a graph including vertices and edges, wherein at least one of the vertices is associated with an event type from a set of event types and wherein at least one of the edges is associated with a weight; removing, based on an associated weight and a first threshold, one or more edges from the graph; determining, after removing the one or more edges from the graph, whether the graph is chordal; responsive to determining that the graph is chordal, identifying a connected subgraph within the graph; determining a group of event types to include event types that are associated with vertices in the identified connected subgraph; and transmitting, storing, or displaying data specifying the group of event types.

Abstract: Methods, systems, and apparatus, including computer programs encoded on storage devices, for drone-augmented emergency response services. In one aspect, a monitoring system, comprising: a plurality of monitoring control units, and a monitoring application server, wherein the monitoring application server includes a network interface, one or more processors, and one or more storage devices that include instructions to perform operations. The operations include receiving an emergency event notification from a first monitoring control unit of the plurality of monitoring control units, determining a type of emergency event, and a location associated with the emergency event notification, identifying one or more drones that can be deployed to the location associated with the emergency event, and transmitting an instruction to a monitoring station server associated with a drone base station to deploy the one or more identified drones to the location associated with the emergency event.