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.

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: A patient having cancer can be treated using coordinated treatment regimens based on at least two omics data sets obtained from a solid tumor and a liquid biopsy that may indicates a plurality of tumor status in the patient's body. The treatment regimens can use various compounds and compositions that drive a tumor from the escape phase of cancer immunoediting to the elimination and equilibrium phase of cancer immunoediting.

Abstract: Carbon-neutral fuels are produced from aragonite in a solar thermal decomposition process in which the carbon dioxide generated from the aragonite is catalytically converted to methane, ethanol, or Fischer-Tropsch liquids. Advantageously, heat from the aragonite production can be recovered and used in downstream processes to thereby minimize the carbon footprint of the fuel production.

Abstract: Apparatus, methods and systems of providing AR content are disclosed. Embodiments of the inventive subject matter can obtain an initial map of an area, derive views of interest, obtain AR content objects associated with the views of interest, establish experience clusters and generate a tile map tessellated based on the experience clusters. A user device could be configured to obtain and instantiate at least some of the AR content objects based on at least one of a location and a recognition.

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: An augmented reality-based content authoring tool is presented. A content author arranges machine-recognizable markers in a physical environment. A computing device operating as the authoring tool recognizes the markers and their arrangement based on a captured digital representation of the physical environment. Once recognized, augmented reality primitives corresponding to the markers can be bound together via their primitive interfaces to give rise to a content set. The individual primitives and content set are instantiated based on the nature of the marker's arrangement.

Abstract: Techniques are provided for computing affinity for protein-protein interaction. 3D structure models of the first and second protein parts are generated using a trained first deep learning model. A 3D structure model of a protein-protein complex comprising the first and the second protein parts is generated using a trained second deep learning model. A low energy score state is determined for the 3D structure models of each of the first and second protein parts, and the protein-protein complex. A relax algorithm applied to amino acid side chain and backbone 3D structure models determines a low energy score state for the 3D structure models. Based on the low energy score states, an energy score is generated for the 3D structure models, and a score difference is determined between the energy scores, where the score difference defines a binding affinity score.

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: A computer-based digital notarized ledger management system comprises at least one computer-readable memory storing a primary ledger and software instructions. The system further comprises at least one processor coupled with the memory, the processor performs operations upon software instruction execution. The at least one processor performs instructions to receive a ledger request comprising target ledger parameters, generate in the memory, at least one digital token representing a target ledger based on target ledger parameters, mint according to at least one primary ledger smart contract, the at least one digital token as a set of non-fungible tokens (NFTs) having at least some of the target ledger parameters and representing the target ledger on the primary ledger, instruct at least one computing node to instantiate the target ledger in at least one node memory according to the target ledger parameters, and instruct the at least one node to enable target ledger transactions.

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: An example cloud computing burst management system includes a first cloud computing resource including a first processor and a first memory, a second cloud computing resource including a second processor and a second memory, and one or more data networks connecting the first cloud computing resource and the second cloud computing resource. The first cloud computing resource is configured to perform at least one cloud computing task, and to monitor one or more leading indicator parameters associated with operation of the first cloud computing resource while performing the at least one cloud computing task. In response to the one or more leading indicator parameters satisfying a first burst criteria, the first cloud computing resource is configured to provision a task instance on the second cloud computing resource for performing at least one portion of the cloud computing task.

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: Network management systems and methods are provided. A system is provided that includes an event database that provides a mapping of multimodal sensor data to events of devices coupled to a network, such as operational or behavioral events. A network management engine obtains a set of multimodal sensor data relating to a device, which may include sensor measurement or output data relating to each of multiple device operation or behavior parameters. The engine determines, utilizing the mapping, a match of the set of multimodal sensor data to a specific event associated with the device. Based at least in part on the determined match, the engine causes generation or updating of event data associated with the specific event, the data being accessible by network management software of the network management system.

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: Methods and systems of managing or reconciling 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 reconciliation matrix related to the purchasable item based on at least the location attribute is identified. A transaction for the purchasable item is reconciled among at least one vendor account and at least one consumer account according to the at least one virtual coupon and the at least one reconciliation matrix.

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.