Abstract: Disclosed are systems and methods for rapid generation of simulations of a patient's spinal morphology that enable pre-operative viewing of a patient's condition and to assist surgeons in determining the best corrective procedure and with any of the selection, augmentation or manufacture of spinal devices based on the patient specific simulated condition. The simulation is generated by morphing a generic spine model with a three-dimensional curve representation of the patient's particular spinal morphology derived from existing images of the patient's condition.

Abstract: Methods and systems to detect and manage access to sensitive information. The system retrieves a dataset of entitlements for a plurality of users. The dataset of entitlements specifies one or more respective exposure vectors. The system detects a triggering event, including a release of sensitive information to a first subset of users of the plurality of users via a first exposure vector. The system then determines a second subset of users of the plurality of users that have access to the first exposure vector based on a comparison of the first exposure vector to the dataset of entitlements. The system monitors electronic communications of the second subset of users for activity related to the sensitive information to detect first activity of a first user of the second subset of users. The system generates for display a first notification to a second user based on detecting the first activity.

Abstract: A wire strand attachment clip including a wire catch that defines a wire strand receiving and holding area configured to receive a wire strand, and a plurality of attachment arms connected to and extending from the wire catch that are dimensionally and biasingly configured to be positioned on a support post to attach the wire strand to that support post such that the attachment arms engage multiple surfaces of the support post.

Abstract: In some implementations, a remote server may receive a request for authentication including a set of credentials associated with a user. The remote server may transmit, to a user device associated with the user, a request for a status associated with a browsing history of the user device or associated with recent emails viewed on the user device. The remote server may receive, from the user device, an indication of the status. The remote server may transmit a message based on the indication of the status and may determine whether to authenticate the user, using the set of credentials, based on the indication of the status.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for operating a user application including a user rendered context operating on a user device and maintaining a current render tree, and a user programmer context operating on a cloud computing system. The user rendered context of the user application can receive an input; and send, responsive to receiving the input, an event notification to the user programmer context of the user application. The user rendered context can further receive, from the user programmer context, a difference tree to update the current render tree, and update the current render tree based on the difference tree.

Abstract: Disclosed herein are system, method, and computer program product embodiments for machine learning systems to predict real-time productivity changes based on prospective scheduling. A productivity predictive model is trained by a machine learning engine with meeting and productivity training data, wherein the productivity predictive model includes one or more algorithms to select a future productivity change based on a future schedule. The system receives a current schedule and current productivity measurements of a user, receives a scheduling request for the user, predicts a future productivity change and displays a graphic to a user revealing the future productivity change of the user based on accepting the scheduling request.

Abstract: Systems and methods for outputting a size code include receiving a plurality of size nodes for a plurality of users, the plurality of size nodes comprising incoming size nodes or outgoing size nodes for one or more items, generating a plurality of size profiles based on the plurality of size nodes, wherein the plurality of size profiles each correlate a size for each item entity to each other item entity of the respective item entities, receiving first user size nodes for a first user, matching the first user to a first size profile of the plurality of size profiles based on the first user size nodes, receiving a first item corresponding to a first item entity of the item entities, identifying, at the size engine, a size code for the first item based on the first size profile, and outputting the size code.

Abstract: A system for network augmentation using virtual reality is provided. The system may include uploading data relating to a network, to a network augmentation system. The system may include retrieving data relating to network standards. The system may include retrieving data relating to historical network vulnerabilities. The system may include an artificial intelligence (“AI”) module. The AI module may be configured to analyze the network and determine possible network vulnerabilities. The AI module may be configured to output a three-dimensional map of the network to a display module. The three-dimensional map may be displayed on the display module. The three-dimensional map may include the identified possible network vulnerabilities. The system may be further configured to overlay solutions to the possible network vulnerabilities on the three-dimensional map.

Abstract: In some embodiments, a computing system may monitor authentication input and modify authentication requirements based on detection of user-specific input errors. The computing system may use machine learning or other techniques to detect whether an incorrect authentication input corresponds to a common input mistake of a user. If the incorrect authentication input does correspond to a common input mistake of the user, a computing system may modify one or more authentication requirements to make the authentication process easier for the user.

Abstract: Disclosed are systems and methods for rapid generation of simulations of a patient's spinal morphology that enable pre-operative viewing of a patient's condition and to assist surgeons in determining the best corrective procedure and with any of the selection, augmentation or manufacture of spinal devices based on the patient specific simulated condition. The simulation is generated by morphing a generic spine model with a three-dimensional curve representation of the patient's particular spinal morphology derived from existing images of the patient's condition.

Abstract: The present disclosure relates to a shared transfer switching system with built in relay testing ability, for transferring power received by a load from a preferred AC power source to an alternate AC power source, or transferring power being received by the load from the alternate AC power source to the preferred AC power source. The system selectively controls various ones of the relays used to apply power from either the preferred or alternate power sources to the load, such that the relays are switched from open to closed states at controlled times, while voltage measurements are made at select locations between the relays. The system can identify which specific ones of a plurality of relays associated with each of the preferred and alternate power sources has properly opened and closed, and thus verify that all of the relays needed to switch between the preferred and alternate power sources are operating properly.

Abstract: Methods and systems are described herein for predicting user access revocation for applications. The system may retrieve, based on user identifiers, user access information and user association information. The system may generate a dataset comprising entries for the user identifiers, where the entries include the user access information and the user association information. The system may input the dataset into a machine learning model to obtain predictions as to whether each user identifier requires access to one or more functions of one or more applications. In some embodiments, the machine learning model is trained to predict required user access. In response to determining that a particular prediction does not include one or more particular functions included in the user access information for a respective user identifier, the system may revoke access to the one or more particular functions from the user identifier.

Abstract: A system and a method for a deployable awning that detects impending storms or other weather events and automatically deploys from a structure to extend out and cover vehicles to protect them from damage due to the storm or other weather event. In one embodiment, a method includes determining that an activating event has occurred. The activating event includes a storm or other weather event. Upon determining that the activating event has occurred, the method includes automatically deploying an awning from a stored configuration inside an awning housing to a deployed configuration such that the awning covers a coverage area of a ground surface adjacent to a location where the awning housing is mounted.

Abstract: A breathable cushion in accordance with the present disclosure includes a frame arranged inside a cover. The frame defines an internal void, and apertures are formed through a lattice of the frame. The apertures and internal void allow airflow through the frame.

Abstract: A method includes a system for improving machine-learning-based resource allocation by calibrating resource-related sentiments used to configure a dialogue generation model and updating a prior sentiment based on a response to a generated dialogue item, including a set of processors. Embodiments may also include a non-transitory, machine-readable media storing program instructions that, when executed by the set of processors, performs operations including retrieving a historical record associated with a user and a first natural language input provided by the user for a resource. Embodiments may also include determining, with a first machine learning model, an intermediate sentiment score based on the first natural language input. Embodiments may also include modifying, with the first machine learning model, the intermediate sentiment score based on the historical record to produce a new sentiment score.

Abstract: Systems and methods are disclosed herein for training machine learning models using precision data based on movement and timing of data collection. The system trains the machine learning model to predict object locations in an environment. The training data includes location data, timing data, and motion data, collection of which is triggered by a user input indicating that a particular object was located. The system generates precision parameters for the locations by assigning initial values to entries within the training data and may lower precision parameters based on the timing data indicating that an object was located faster than a threshold time or based on the motion data indicating that a rate of motion exceeded a threshold rate when a corresponding object was located. The system may update the training data with the lowered precision parameters and train the machine learning model to predict the object locations within the environment.

Abstract: Disclosed herein are systems, apparatuses, methods, and non-transitory computer readable media related to display constructs that can be fixed or movable. The display constructs can be configured to facilitate media display at opposite sides. The display constructs may be is at least partially transparent and can be viewed therethrough. Various interactive capabilities with the display construct are disclosed, as well as various installation component and kits. Further disclosed are wireless chargers embedded in fixtures and/or real assets of a facility.

Abstract: Disclosed herein are systems, apparatuses, methods, and non-transitory computer readable media related to a display construct coupled to a structure (e.g., a vision window). The structure can be a supportive structure such as a fixture. The display construct is configured to facilitate media display and is at least partially transparent. The vision window may be a tintable window, e.g., a window in which its tint is electrically controllable (e.g., an electrochromic window). Various interactive capabilities with the display construct are disclosed (e.g., via a touch screen).

Abstract: Disclosed are systems and methods for rapid generation of simulations of a patient's spinal morphology that enable pre-operative viewing of a patient's condition and to assist surgeons in determining the best corrective procedure and with any of the selection, augmentation or manufacture of spinal devices based on the patient specific simulated condition. The simulation is generated by morphing a generic spine model with a three-dimensional curve representation of the patient's particular spinal morphology derived from existing images of the patient's condition.

Abstract: Aspects described herein may allow displaying of augmented reality content items associated with selected vehicle models, as well as price or budget information associated with the displayed vehicle to facilitate the user to make purchasing or financing decisions. For example, a computing device may detect a plurality of physical anchors attached to a vehicle husk and determine location information for each of the plurality of physical anchors. The computing device may receive one or more augmented reality (AR) content items corresponding to one or more vehicle features for the selected vehicle model and display via an AR interface, the one or more AR content items positioned relative to the vehicle husk based on the location of each of the plurality of physical anchors, as well as a price associated with the selected vehicle model having the one or more vehicle features.