Abstract: This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and/or learned user preferences associated with the user's past behavior. A user can perform/request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.

Abstract: A processor may generate an enforcement point. The enforcement point may include one or more adversarial detection models. The processor may receive user input data. The processor may analyze, at the enforcement point, the user input data. The processor may determine, from the analyzing, whether there is an adversarial attack in the user input data. The processor may generate an alert based on the determining.

Abstract: The present invention relates to the use of cannabinoids in the treatment of a neurodegenerative disease or disorder. In particular the cannabinoids cannabidiolic acid (CBDA) and cannabidivarin (CBDV) were able to produce neuroprotective effects in a mouse model of neurodegenerative disease. In particular these effects were associated with the symptoms associated with amyotrophic lateral sclerosis (ALS). Furthermore, the combination of the cannabinoid tetrahydrocannabinol (THC) with the drug olexisome provided a synergistic disease modifying effect in a mouse model of neurodegenerative disease. In particular these effects were associated with the symptoms associated with ALS.

Abstract: This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and/or learned user preferences associated with the user's past behavior. A user can perform/request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.

Abstract: A system, method and program product for implementing a machine learning platform that processes a data map having feature and operational information. A system is disclosed that includes an interpretable machine learning model that generates a function in response to an inputted data map, wherein the data map includes feature data and operational data over a region of interest, and wherein the function relates a set of predictive variables to one or more response variables; an integration/interpolation system that generates the data map from a set of disparate data sources; and an analysis system that evaluates the function to predict outcomes at unique points in the region of interest.

Abstract: Techniques for live adaptive training in a production system are described. In an example, a training application executed on a workstation receives, based at least in part on an identifier of a user of the workstation, a training module and a trigger rule to present the training module. The training application exchanges, with a workstation application executed on the workstation, data about an event determined by the workstation application. The training application also determines a match between the trigger rule and the event. Based at least in part on the match, the training application initiates a presentation of the training module. In a further example, when the training module is presented, a transition rule may be used by the training application, based on an event from the workstation application, to determine a next training segment from the training module to present.

Abstract: A head cooling hat assembly for cooling a user's head includes a hat that is wearable on a user's head and the hat has a chamber integrated therein. A cooling pack is insertable into the chamber in the hat. Thus, the cooling pack is in thermal communication with the user's head when the user wears the hat. The cooling pack is comprised of a freezable material to cool the user's head when the user wears the hat.

Abstract: An ore content prediction system is provided. The system receives structured geological data that is derived based on spatial geological information that is associated with an input region. The received structured geological data includes a plurality of multidimensional tensors that are derived from spatial geological information of a plurality of sub-regions of the input region. The spatial geological information includes one or more types of data. The system trains a prediction model to produce a prediction output based on an average grade of an ore of a target mineral type at a target region by using the received structured geological data.