Abstract: Self-consumable portions generation techniques from a digital document are described. The self-consumable portions are generated based on a determination of an amount of resources available at a receiver device that is to receive the digital document. Examples of the resources include an amount of memory resources, processing resources, and/or network resources associated with the receiver device. The self-consumable portions, once generated, are separately renderable at the receiver device.

Abstract: Disclosed herein are methods and systems for implementing a multi-model computer architecture for entity identification. A method includes receiving data regarding a plurality of entities. The method includes generating a plurality of entity profiles for the plurality entities and a network graph data structure (e.g., a node graph) comprising edges between nodes for the plurality of entity profiles. The method includes executing a model using identifiers of the plurality of entity profiles, an event topic, and the edges between the nodes as input to generate one or more composite scores for the plurality of entity profiles. The method includes selecting one or more entities for the event based on the generated one or more composite scores. The method includes generating a record comprising associations between identifications of the entities and the event.

Abstract: Disclosed herein are methods and systems for filtering entity profiles. A method includes receiving, from a plurality of data sources and for a plurality of medical entities, clinical data and online interaction data; generating a plurality of entity profiles for the plurality medical entities; calculating one or more clinical metrics and one or more online interaction metrics for the plurality of entity profiles from the clinical data and the online interaction data; executing a model using identifications of the plurality of entity profiles and the one or more clinical metrics and the one or more online interaction metrics as input to generate influence scores for the plurality of entity profiles; selecting a subset of the plurality of entity profiles responsive to each entity profile of the subset having an influence score satisfying a selection criteria; and generating a record comprising identifications of the subset of the plurality of entity profiles.

Abstract: Disclosed herein are methods and systems for implementing a machine learning architecture for detecting early adopters. A method includes receiving clinical data; training, using a supervised or unsupervised learning technique, a machine learning model (e.g., a neural network, a support vector machine, or a random forest) to generate a score identifying a likelihood to prescribe a medical product; generating, by the machine learning model, a score indicating a likelihood of a first medical personnel to prescribe a type of medical product within a defined time period; and causing a display at a client device based on the score.

Abstract: Disclosed herein are various embodiments a code simplification system. An embodiment operates by determining that a software version of a coordinator node is different from a software version of one or more worker nodes. Commits by the one or more worker nodes to a database are disabled based on the determination that the software versions differ. An update is performed on each of the one or more worker nodes. An acknowledgement that the update on each of the one or more worker nodes has completed is received, and the commits to the database by the one or more worker nodes is enabled.

Abstract: Systems, methods, and computer readable storage medium are described for media presentation device or microphone calibration via event detection. An adjustment event is detected based on an analysis of a received signal. A determination to adjust at least one of a volume setting of a media presentation device or a gain setting of a microphone is made based at least on the detected adjustment event. Responsive to the determination, a first command is transmitted to at least one of the media presentation device or the microphone. In an aspect, the received signal is an audio data signal received from a listening device. In another aspect, the received signal is a command signal received from a second computing device via a network interface, the command signal comprising instructions to adjust the volume setting of the media presentation device, the second computing device remotely located and associated with a second user.

Abstract: Self-consumable portions generation techniques from a digital document are described. The self-consumable portions are generated based on a determination of an amount of resources available at a receiver device that is to receive the digital document. Examples of the resources include an amount of memory resources, processing resources, and/or network resources associated with the receiver device. The self-consumable portions, once generated, are separately renderable at the receiver device.

Abstract: Disclosed herein are various embodiments a code simplification system. An embodiment operates by determining that a software version of a coordinator node is different from a software version of one or more worker nodes, Commits by the one or more worker nodes to a database are disabled based on the determination that the software versions differ. An update is performed on each of the one or more worker nodes. An acknowledgement that the update on each of the one or more worker nodes has completed is received, and the commits to the database by the one or more worker nodes is enabled.

Abstract: Methods and systems are provided for providing directional assistance to guide a user to position a camera for centering a person's face within the camera's field of view. A neural network system is trained to determine the position of the user's face relative to the center of the field of view as captured by an input image. The neural network system is trained using training input images that are generated by cropping different regions of initial training images. Each initial image is used to create a plurality of different training input images, and directional assistance labels used to train the network may be assigned to each training input image based on how the image is cropped. Once trained, the neural network system determines a position of the user's face, and automatically provides a non-visual prompt indicating how to center the face within the field of view.

Abstract: Disclosed herein are various embodiments a code simplification system. An embodiment operates by determining that a software version of a coordinator node is different from a software version of one or more worker nodes, Commits by the one or more worker nodes to a database are disabled based on the determination that the software versions differ. An update is performed on each of the one or more worker nodes. An acknowledgement that the update on each of the one or more worker nodes has completed is received, and the commits to the database by the one or more worker nodes is enabled.

Abstract: Embodiments are provided for automatically determining the power state of a consumer electronic device, such as a television. For instance, a switching device may transmit a reference audio signal to a consumer electronic device for playback thereby. An audio signal captured by a microphone is compared to a reference audio signal. If a level of similarity between the captured audio signal and the reference audio signal meet a threshold condition, then a determination is made that the consumer electronic device is powered on. Otherwise, a determination is made that the consumer electronic device is powered off, in a standby state or muted.

Abstract: Embodiments are provided for automatically determining the power state of a consumer electronic device, such as a television. For instance, a switching device may transmit a reference audio signal to a consumer electronic device for playback thereby. An audio signal captured by a microphone is compared to a reference audio signal. If a level of similarity between the captured audio signal and the reference audio signal meet a threshold condition, then a determination is made that the consumer electronic device is powered on. Otherwise, a determination is made that the consumer electronic device is powered off, in a standby state or muted.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.

Abstract: Methods and systems are provided for providing directional assistance to guide a user to position a camera for centering a person's face within the camera's field of view. A neural network system is trained to determine the position of the user's face relative to the center of the field of view as captured by an input image. The neural network system is trained using training input images that are generated by cropping different regions of initial training images. Each initial image is used to create a plurality of different training input images, and directional assistance labels used to train the network may be assigned to each training input image based on how the image is cropped. Once trained, the neural network system determines a position of the user's face, and automatically provides a non-visual prompt indicating how to center the face within the field of view.

Abstract: Methods and program products for adjusting characteristics of photographs captured by electronic devices. The disclosed methods may include identifying a location of an electronic device at a detectable time. The electronic device may include a camera configured to capture a photograph at the location. The method may also include analyzing environmental data relating to the identified location, analyzing historical data for a collection of previously captured photographs at the identified location and providing at least one notification on the electronic device based on the analyzed environmental data and/or the analyzed historical data. Additionally, the method may include adjusting at least one camera setting for the camera of the electronic device based on the analyzed environmental data and the analyzed historical data.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.

Abstract: Methods and systems are provided for providing directional assistance to guide a user to position a camera for centering a person's face within the camera's field of view. A neural network system is trained to determine the position of the user's face relative to the center of the field of view as captured by an input image. The neural network system is trained using training input images that are generated by cropping different regions of initial training images. Each initial image is used to create a plurality of different training input images, and directional assistance labels used to train the network may be assigned to each training input image based on how the image is cropped. Once trained, the neural network system determines a position of the user's face, and automatically provides a non-visual prompt indicating how to center the face within the field of view.

Abstract: Methods and program products for adjusting characteristics of photographs captured by electronic devices. The disclosed methods may include identifying a location of an electronic device at a detectable time. The electronic device may include a camera configured to capture a photograph at the location. The method may also include analyzing environmental data relating to the identified location, analyzing historical data for a collection of previously captured photographs at the identified location and providing at least one notification on the electronic device based on the analyzed environmental data and/or the analyzed historical data. Additionally, the method may include adjusting at least one camera setting for the camera of the electronic device based on the analyzed environmental data and the analyzed historical data.

Abstract: Methods, systems, and apparatuses are described for automatically navigating a graphical user interface (GUI) of a media device. In embodiments, objects (e.g. selectable items) in device GUI menu screens may be located, identified, and selected by another device (e.g., a switch) using several types of image processing, image recognition, and automated screen navigation techniques. For instance, a device may receive an operation request, for example from a user, receive a video signal from the connected media device, extract a video frame, process the video frame using one or more algorithms, and automatically navigate the GUI of the device by transmitting one more navigation commands for application to the GUI. In this manner, multi-step, time-consuming manual GUI navigation to achieve a desired result may be reduced to an automated technique, allowing users to save time and frustration in navigating a GUI using a remote control to find a particular resource.