Abstract: Apparatus, methods and systems of wireless power distribution are disclosed. Embodiments involve the redirection of collimated energy to a converter, which stores or converts the energy into a more suitable form of energy for at least one specific point-of-use that is coupled to the converter.

Abstract: A method includes accessing a structured content item from a first database and event data from a second database, the event data including sets of event attributes in a multi-dimensional namespace and associated with a respective point in time; determining a relevancy profile characterizing a metric of relevancy of the structured content item over a respective time interval, the metric of relevancy including a distance in the multi-dimensional namespace between attributes associated with the structured content and the sets of event attributes; generating, using the relevancy profile, second digital content including a subset of the structured content item; and providing the second digital content for rendering on a device. Related apparatus, systems, techniques and articles are also described.

Abstract: Computer-based systems and methods are presented in which digital data from a subject are used to provide an initial diagnosis, and in which a polymerase chain reaction (PCR)-based assay is performed at the point-of-care to confirm and refine the initial diagnosis. Advantageously, the polymerase chain reaction (PCR)-based assay is configured as a hand-held portable device and uses a plurality of nucleic acid primers that are chosen as a function of the initial diagnosis. The primers are further chosen to allow for refinement of the initial diagnosis to enable generation of a treatment plan and assist in appropriate treatment at the point of care or use.

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: 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: 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: Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.

Abstract: Methods and systems for separating a first metal from a metal-containing feed stream are provided. The method can include applying solar energy, for example, by focusing one or more mirrors in one or more heliostats, to heat a metal-containing feed stream in a heating zone to a first temperature to produce a first vapor including the first metal. The first vapor can be condensed in a condensation zone to produce a first liquid including the first metal, and the first liquid can be collected. The system can include a separation unit include a heating zone in fluid communication with a condensation zone and a means for applying solar energy to heat a metal-containing feed stream disposed in the heating zone.

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: In some aspects, there is provided a method. The method may include selecting a first antenna coupled to a first transceiver at a first vehicle; determining a configuration of a first beam pattern emanated by the first antenna; and reconfiguring, based on the configuration of the first beam pattern and a beam tracking packet, the first antenna to provide a beam tracking of the first beam pattern. The first beam pattern may be associated with a wireless communication link to an object proximate to the first vehicle, which may be a second vehicle or a stationary object. Reconfiguring the first antenna may be further based on a steering angle associated with the first antenna and a distance between the first vehicle and the object proximate to the first vehicle.

Abstract: A drone-based payload management system includes at least one drone and a drone controller, the drone(s) having first and second payload bays configured to store first and second payloads, respectively. The drone controller may be coupled with the payload bays and may comprise at least one processor and at least one computer readable memory. The memory(ies) may store software instructions executable by the processor(s) to perform operations including obtaining a location of the drone(s) while the drone(s) is deployed, determining a ground attribute value of a ground surface associated with the location, deriving, based on the ground attribute value, a payload ratio of a first amount of the first payload relative to a second amount of the second payload, and causing the first and second payload bays to release the first amount of the first payload and the second amount of the second payload respectively according to the payload ratio.

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: Apparatus, methods and systems of wireless power distribution are disclosed. Embodiments involve the redirection of collimated energy to a converter, which stores or converts the energy into a more suitable form of energy for at least one specific point-of-use that is coupled to the converter.

Abstract: Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.

Abstract: Systems, apparatus, and methods of rendering content based on a control point of a camera device are disclosed. In an example, a marker is attached to the camera device and its pose is tracked over time. Based on a camera model of the camera device, an offset between the marker and the control point is determined. The tracked pose of the marker can be translated and/or rotated according to the offset to estimate a pose of the control point. The rendering of the content is adjusted over time based on the estimated poses of the control point. Upon presentation of the content in a real-world space (e.g., on a display assembly located therein), the camera device can capture the content along with other objects of the real-world space and generate a video stream thereof.

Abstract: Method of retrieving event information is presented. Memento objects can be recognized by an archive engine. Based on the recognition, the archive engine obtains information related to the memento object, possibly one or more recognizable features, and uses the information to search for events associated with a timeline that have corresponding tags. The archive engine can then return the event information as a result set to a user.

Abstract: Systems and methods of delegating media capturing functionality from one device to another are presented. A first device configured with an object recognition engine captures a media representation of an environment and identifies an object within that environment. Then based on matched object traits from a database, the engine selects a delegation rules set, and delegates certain media capturing functionality to a second device according to the selected delegation rules set.

Abstract: Techniques for storing a set of digital assets. The techniques including identifying at least one digital token from a digital token database storing indexed information related to digital tokens recorded on a notarized ledger, the at least one digital token representing an owned asset based on digital features of the owned asset and the set of digital assets. The techniques including deriving at least one similarity score for the at least one digital token relative to the set of digital assets and based on the digital features. The techniques including generating a least one notification, including validity information, based on the at least one similarity score. The techniques including enabling a smart contract engine to execute a smart contract interface associated with the notarized ledger based on the at least one notification or the at least one similarity score.

Abstract: A drone-based payload management system includes at least one drone and a drone controller, the drone(s) having first and second payload bays configured to store first and second payloads, respectively. The drone controller may be coupled with the payload bays and may comprise at least one processor and at least one computer readable memory. The memory(ies) may store software instructions executable by the processor(s) to perform operations including obtaining a location of the drone(s) while the drone(s) is deployed, determining a ground attribute value of a ground surface associated with the location, deriving, based on the ground attribute value, a payload ratio of a first amount of the first payload relative to a second amount of the second payload, and causing the first and second payload bays to release the first amount of the first payload and the second amount of the second payload respectively according to the payload ratio.

Abstract: An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.