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: A distributed studio management system includes a computing system having a computer readable memory and a processor. The computing system is associated with a first production facility that is remote to a second production facility. The processor is configured to perform the operations of receiving a set of device commands having commands targeting first and second devices in the first production facility and where the set of device commands are related to the second production facility, enqueuing a first command from the device commands into a first command queue assigned to the first device and a second command from the device commands into a second command queue assigned to the second device according to each device command's synchronized execution times, and causing the first and second devices to execute commands from their respective command queues relative to each other according to the commands' respective synchronized execution times.

Abstract: Systems and methods of facilitating transactions related to targeted or customized commercial offerings based on derived sentiment states are provided. The sentiment states are derived from digital representations such as images, videos and sound recordings.

Abstract: A computer-based filming production system is described. An illustrative system includes a real-world, physical environment having a set of sensors disposed about a filming volume and a production center computing system including at least one computer readable memory that enables a processor to store a prioritization policy including priorities for digital data streams and for each filming production workflow stage of a set of multiple filming production workflow stages, receive a set of sensor data representing a filming production in the filming production from the set of sensors, generate a set of digital data streams of renderable content from the set of sensor data via the filming production workflow stages and according to the priorities for each filming production workflow stage, where each digital data streams comprises prioritized rendering instructions for their respective renderable content derived from the prioritization policy, and then transmit the set of digital data streams.

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: Techniques including data collection, organization and usage are provided, including in connection with computer-based gaming. Methods and systems are provided for establishing a set of data chronicling at least a portion of a duration of a computer-based gaming event that includes at least one user engaging in gaming using a computer or a computer-based device. Event data is obtained for chronicling chronologically ordered in-game events. Hardware and software related data is obtained that relates to the computer or the computer-based device and is relevant to the chronicling of the portion of the gaming event. Utilizing a distributed ledger technology or blockchain, the event data and the hardware and software related data are recorded in establishing the set of data chronicling at least a portion of the duration of the gaming event.

Abstract: Systems and methods for tracking samples via sample tracking chains are presented. Sample tracking chains represent digital data structures instantiated according to intrinsic properties of a sample. Each link in the chain is a block of data representing an observed intrinsic state of the sample and is linked at least to a previous block representing a previous state. The sample tracking chain and blocks can be indexed for later retrieval by the intrinsic properties of the corresponding sample's state. The sample tracking chain can take the form of a blockchain possibly stored as part of a private or public distributed ledger. Disclosed sample tracking chains provide a full life cycle audit trail for sample processing.

Abstract: Disclosed herein are compositions comprising oolitic aragonite particles, wherein the oolitic aragonite particles have an average particle size of between 100 nm to 1 mm, and a Hunter brightness level greater than 88. Further disclosed herein are personal care and/or cosmetic compositions, comprising a carrier and the aforementioned oolitic aragonite particles. Further disclosed herein are methods of making and using the oolitic aragonite particles.

Abstract: Systems, apparatus, and methods of managing the lifecycle of a digital token are described. In an example, while the digital token is being generated, the digital token or the underlying digital asset can be compared to other digital tokens and/or digital assets to determine similarity thereto. Based on the similarity, a program code interface (e.g., smart contract, an application programming interface—API, RPC, etc.) can be determined and an API call can be made to execute a program code. The execution can indicate whether the digital token creation process can be completed. If so, the digital token is recorded. Thereafter, its use or the use of the underlying digital asset can be monitored, whereby this monitoring can apply similarity processing. If a use thereof is determined or if a use of a similar digital token or similar digital asset is determined, notifications can be generated and sent.

Abstract: Systems, apparatus, and methods of managing the lifecycle of a digital token are described. In an example, while the digital token is being generated, the digital token or the underlying digital asset can be compared to other digital tokens and/or digital assets to determine similarity thereto. Based on the similarity, a program code interface (e.g., smart contract, an application programming interface—API, RPC, etc.) can be determined and an API call can be made to execute a program code. The execution can indicate whether the digital token creation process can be completed. If so, the digital token is recorded. Thereafter, its use or the use of the underlying digital asset can be monitored, whereby this monitoring can apply similarity processing. If a use thereof is determined or if a use of a similar digital token or similar digital asset is determined, notifications can be generated and sent.

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.