Abstract: Described herein are methods for analyzing and detecting diseases or condition in a subject. Also, described herein are methods for preserving samples for detection of diseases or condition in a subject.

Abstract: Techniques for generating and storing application telemetry data are described. An example method includes generating, by an application, a unit of telemetry data comprising metrics related to a runtime state of the application. The method also includes generating a character string comprising the metrics. The method also includes writing, by a processing device executing the application, a zero-byte file to a storage system using the character string as a file name of the zero-byte file.

Abstract: A method for training control software to reinforce safety constraints using visual inputs includes performing template matching for each object in an image of a reinforcement learning (RL) agent's action space using a visual template for each object wherein each object in the RL agent's action space is detected, mapping each detected object to a set of planar coordinates for each object in the RL agent's action space, determining a set of safe actions for the RL agent by applying a safety specification for the RL agent's action space to the set of variables for coordinates for each object in the RL agent's action space, outputting the set of safe actions to the RL agent for a current state of a RL procedure, and preventing the RL agent from executing an action that is unsafe, before the RL agent takes an action.

Abstract: Embodiments of the disclosure provide a reinforcement learning model configured to receive state data (e.g., image state data) and determine candidate actions (e.g., environment navigation actions, environment modification actions, etc.) based on the received state data. Embodiments of the disclosure further provide an object detector configured to generate symbolic state data (e.g., safety relevant data) from the state data. Accordingly, as described herein, a safety system can update a dynamical safety constraint based on the symbolic state data, as well as filter the actions determined by the reinforcement learning model and select an action to be executed based on the dynamical safety constraint. For instance, the safety system classifies each action (e.g., each candidate action determined by the reinforcement learning model) in each symbolic state as either “safe” or “not safe” based on the dynamical safety constraint (e.g., and a safe action may be selected and executed).

Abstract: Methods, systems, and media for presenting messages related to notifications are provided. In some embodiments, the method comprises: determining notification settings; determining that a notification of a particular type of notification is to be presented on a user device, wherein the particular type of notification is a notification that indicates recommended content to a user of the user device; causing the notification to be presented on the user device; determining that a message containing information related to the notification is to be presented on the user device, wherein the message includes a selectable input that, when selected, causes a user interface for modifying the notification settings to be presented; causing the message to be presented concurrently with the notification on the user device; in response to determining that the selectable input has been selected, causing the user interface for modifying the notification settings to be presented on the user device.

Abstract: A method for training control software to reinforce safety constraints using visual inputs includes performing template matching for each object in an image of a reinforcement learning (RL) agent's action space using a visual template for each object wherein each object in the RL agent's action space is detected, mapping each detected object to a set of planar coordinates for each object in the RL agent's action space, determining a set of safe actions for the RL agent by applying a safety specification for the RL agent's action space to the set of variables for coordinates for each object in the RL agent's action space, outputting the set of safe actions to the RL agent for a current state of a RL procedure, and preventing the RL agent from executing an action that is unsafe, before the RL agent takes an action.

Abstract: A method is disclosed that includes receiving a notification about an activity pertaining to a user, the notification being directed to a first application and a second application, and identity of the user being associated with a token. The method also includes identifying a first instance of the first application and a first instance of the second application at a user device of the user, and determining the first instance of the first application and the first instance of the second application are associated with the token. The method further includes selecting one of the first instance of the first application or the first instance of the second application to provide the notification at the user device based on the token, and providing the notification to the selected one of the first instance of the first application or the first instance of the second application at the user device.

Abstract: Methods, systems, and media for presenting messages related to notifications are provided. In some embodiments, the method comprises: determining notification settings; determining that a notification of a particular type of notification is to be presented on a user device, wherein the particular type of notification is a notification that indicates recommended content to a user of the user device; causing the notification to be presented on the user device; determining that a message containing information related to the notification is to be presented on the user device, wherein the message includes a selectable input that, when selected, causes a user interface for modifying the notification settings to be presented; causing the message to be presented concurrently with the notification on the user device; in response to determining that the selectable input has been selected, causing the user interface for modifying the notification settings to be presented on the user device.

Abstract: Systems and methods are provided for determining applications that are co-installed on a device. In an aspect, a system includes a registration component that receives, from a device, a request to register a first application provided on the device with a notification service, the request comprising an account identifier associated with a user identity, a session token, and an identifier for the first application. The session token is derived from an authentication token that is unique to the user identity and the device. The system further includes an authentication component configured to authenticate the user identity using the session token, and a fingerprint component configured to receive a fingerprint of the authentication token based on authentication of the user identity using the session token, wherein the registration component is configured to associate the account identifier, the identifier for the first application, and the fingerprint with one another in a database.

Abstract: A tracking buoy (10), comprising: a body portion (12); and a GPS tracking unit (14); wherein the GPS tracking unit (14) is removably contained on or within the body portion (12), and the mass of the tracking buoy (10) being such that less than about 100 mm of the tracking buoy (10) projects above the waterline during operation.

Abstract: A method, implemented on a processor, provides content segments to a first resource, the first resource having a first video. The method includes identifying and extracting contextual information from one or more second resources, the second resources having one or more associated second videos; processing the extracted contextual information in relation to a set of criteria, the set of criteria based on a content of the first video; selecting one or more content segments based on the set of criteria; and providing, to the first resource one or more of the selected content segments to be displayed with the first video.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: A method and system for online advertisements that encourages users to express purchase preference or brand interest on their social media networks through rich media interactions. The system includes a processor, a network interface configured to connect to a network and a machine readable storage medium configured to store program instructions which, when executed, cause the processor to perform a method for encouraging users to express purchase preference or brand interest on their social media networks through rich media interactions. An interactive display is arranged on a screen comprising a prompt and a plurality of selectable multimedia elements. A user responds to the prompt by designating a multimedia to enable transmission of preference data responsive to the prompt. The preference data associated with the designated multimedia element to a server connected to the network.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: A chopped radiation source composed of a radiation source component, a chopping component and an optical fiber connector component. Each of these components is arranged within a housing in a manner such that the elements of each of these components will not move in an unintended manner during use.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.