Abstract: A first fabric abstraction layer couples to a data link layer and a physical layer of a network fabric device. The network fabric device is connected to other network elements within a network via at least one network connection, such as a fiber optic connection. A second fabric abstraction layer couples to the data link layer and an application of the network device. The second fabric abstraction layer provides an application programming interface (API) to the application. The API allows the application to generate configuration instructions for configuring the at least one network connection. Upon receiving the configuration instructions generated by the application, the second abstraction layer sends the configuration instructions to the first abstraction layer via the data link layer. The first abstraction layer then configures the at least one network connection to transmit data according to the configuration instructions.

Abstract: A reasoning engine is disclosed. Contemplated reasoning engines acquire data relating to one or more aspects of various environments. Inference engines within the reasoning engines review the acquire data, historical or current, to generate one or more hypotheses about how the aspects of the environments might be correlated, if at all. The reasoning engine can attempt to validate the hypotheses through controlling acquisition of the environment data.

Abstract: Interference-based augmented reality hosting platforms are presented. Hosting platforms can include networking nodes capable of analyzing a digital representation of scene to derive interference among elements of the scene. The hosting platform utilizes the interference to adjust the presence of augmented reality objects within an augmented reality experience. Elements of a scene can constructively interfere, enhancing presence of augmented reality objects; or destructively interfere, suppressing presence of augmented reality objects.

Abstract: Transmedia scheduling systems and methods are described in which a user interface is generated via a channel engine that includes first and second channels. The channels are based on one or more channel templates stored in a channel database, and are preferably populated with concurrent transmedia stories. Each of the transmedia stories can be based on at least one transmedia object stored in a transmedia database and may be dynamically generated.

Abstract: One exemplary aspect relates to normalizing latency in a networking environment to reduce the chances of creating an unfair advantage. While an exemplary aspect will be discussed in relation to a gaming environment, it is to be appreciated that the techniques disclosed herein can be applied to other environments where latency normalization or the ability to maintain latency between various endpoints is desired. For example, other environments include eSporting, on-line betting, fantasy esports, streaming services, etc. Some more specific examples include World of Warcraft®, Overwatch®, H1Z1®, PUBG®, Fortnite®, Realm Royale®, Planet Side 2®, real-time strategy games, slot machines, electronic poker tournaments, etc.

Abstract: Systems and methods of constructing and managing virtual planograms are presented. Contemplated systems allow for construction of a virtual planogram, which can be used to present consumers virtual inventory items as being available for purchase via a display device. The display device can include an electronic billboard within an establishment, a mall for example, or include a user's smart device, a cell phone or tablet for example.

Abstract: Systems and methods associated with distributing an application's network interface over nodes of a networking fabric are presented. Nodes of the fabric can operate as interface modules, each taking on a role or responsibility for a portion of the application's network address including IP address, port assignments, or other portions of the network address. Interface modules of the networking nodes can then spoof or cloak the application to provide security against internal or external threats.

Abstract: Contemplated systems and methods use high-accuracy in silico HLA analysis to so establish a transplant match database suitable for transplantation, and particularly stem cell and solid organ transplant.

Abstract: Systems and methods for instantiating collaboration interfaces via object recognition are disclosed. An object recognition engine communicatively coupled to a database and an electronic device receives sensor data related to an object and identifies an object characteristic. A component is selected having criteria satisfied by the object characteristic and a collaboration interface is instantiated on the electronic device. This can allow a user to edit content related to an object. A substantially identical collaboration interface can be instantiated on a second electronic device to allow collaboration among user with respect to content related to the object.

Abstract: A sensor-based leading indicator management ecosystem is described. Sensor data associated with the individual, possibly within a Personal Area Network (PAN) and related to the healthcare of the individual, is compiled and converted to a one or more sets of leading indicators with respect to one or more possible future healthcare actions. Leading indicators may then be compiled into one or more condition state vectors that represent encoded inputs into one or more trained action prediction agents. The trained action prediction agents then generate, possibly in real-time or based on time-series data, predicted actions that may be required at a predicted point-of-care or a moment-of-care. Further, action prediction agents may be context or domain specific.

Abstract: Techniques (e.g., systems, apparatus, methods) for context-based management of tokens are described. In an example, a geographical location of a device is used as one possible context. This location can correspond to a physical location associated with an AR virtual object container. This container can be associated with a set of virtual object container information applicable to the context, such as to the device's location. Based on separately maintained virtual object information, virtual objects to be shown as being available from the container are determined. Each of such virtual objects can be associated with a set of tokens. In an AR session, the container and the virtual objects are presented. An interaction with the container or a virtual object can result in associating a relevant set of tokens with a user account by recording information about the container, the virtual object, the user account, and/or the context(s).

Abstract: Methods, systems, and articles of manufacture to improve image recognition searching are disclosed. In some embodiments, a first document image of a known object is used to generate one or more other document images of the same object by applying one or more techniques for synthetically generating images. The synthetically generated images correspond to different variations in conditions under which a potential query image might be captured. Extracted features from an initial image of a known object and features extracted from the one or more synthetically generated images are stored, along with their locations, as part of a common model of the known object. In other embodiments, image recognition search effectiveness is improved by transforming the location of features of multiple images of a same known object into a common coordinate system. This can enhance the accuracy of certain aspects of existing image search/recognition techniques including, for example, geometric verification.

Abstract: Transmedia scheduling systems and methods are described in which a user interface is generated via a channel engine that includes first and second channels. The channels are based on one or more channel templates stored in a channel database, and are preferably populated with concurrent transmedia stories. Each of the transmedia stories can be based on at least one transmedia object stored in a transmedia database and may be dynamically generated.

Abstract: Methods and systems of mitigating fraud in location-based transactions are disclosed. At least a location attribute related to a virtual coupon is derived from a digital representation of a real-world scene captured at least in part by a mobile device. At least one virtual coupon is generated based on at least the location attribute, wherein the virtual coupon is related to a purchasable item associated with the real-world scene. A user is enabled to select a target account from a display of the mobile device from a plurality of available on-line user accounts. The transaction is authenticated as a function of the one or more object attributes, including the location attribute, and the user selected target account, and enabled with the target account according to the one or more terms of the virtual coupon and the location attribute.

Abstract: Interference-based augmented reality hosting platforms are presented. Hosting platforms can include networking nodes capable of analyzing a digital representation of scene to derive interference among elements of the scene. The hosting platform utilizes the interference to adjust the presence of augmented reality objects within an augmented reality experience. Elements of a scene can constructively interfere, enhancing presence of augmented reality objects; or destructively interfere, suppressing presence of augmented reality objects.

Abstract: A hybrid-fabric apparatus comprises a black box memory configured to store a plurality of behavior metrics and an anomaly agent coupled to the black box. The anomaly agent determines a baseline vector corresponding to nominal behavior of the fabric, wherein the baseline vector comprises at least two different behavior metrics that are correlated with each other. The anomaly agent disaggregates anomaly detection criteria into a plurality of anomaly criterion to be distributed among network nodes in the fabric, the anomaly detection criteria characterizing a variation from the baseline vector, and each of the plurality of anomaly criterion comprising a function of a measured vector of behavior metrics. The variation can be calculated based on a variation function applied to a vector of measured behavior metrics having elements corresponding to member elements of the baseline vector. Anomaly criterion statuses calculated by at least some of the network nodes are aggregated.

Abstract: Methods and systems are provided to display a real world event on a client device with avatars. Appropriate parameters for the real world event are provided and participants in the real world event are associated to avatars. As the real world event begins, a server is configured to provide information on the real world event to the client device, and the client device displays a representation of a virtual event using the avatars and the information received from the server.

Abstract: An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.

Abstract: A sensor-based leading indicator management ecosystem is described. Sensor data associated with the individual, possibly within a Personal Area Network (PAN) and related to the healthcare of the individual, is compiled and converted to a one or more sets of leading indicators with respect to one or more possible future healthcare actions. Leading indicators may then be compiled into one or more condition state vectors that represent encoded inputs into one or more trained action prediction agents. The trained action prediction agents then generate, possibly in real-time or based on time-series data, predicted actions that may be required at a predicted point-of-care or a moment-of-care. Further, action prediction agents may be context or domain specific.

Abstract: Authentication tokens, systems, and methods are described. An illustrative method is disclosed to include receiving an electronic file including a digital image, receiving biometric information that is associated with a person, modifying the electronic file with the biometric information such that one or more pixels in the digital image are replaced with the biometric information, and storing the modified electronic file as a digital authentication token to be used in connection with authorized publications of original digital work.