Abstract: A low-cost immunoassay apparatus and system that facilitates the operation of efficient high-volume microbial disease testing centers is described. Included is a highly accurate and sensitive lateral flow assay instrument, complete with internal environmentally controlled chamber, a through-sample spectrographic reader, and cloud-connected flexible pre- and post-test calibration and data analysis. Also included is a highly integrated cloud-connected smartphone application that manages the flow and procedure of each patient before and during his visit to a testing center.

Abstract: This disclosure describes a means for individuals in random locations, whether or not in motion, to communicate with a wearable wellness monitor or any other device without the need to carry electronic communication equipment, by using a wireless network consisting of short-range nodes distributed throughout a home, clinic or other premises. These nodes provide two-way communication with the individuals using verbal announcements, light signals, audible alarms, voice and word recognition, and hand gestures.

Abstract: Techniques disclosed herein describe inferring user interests based on metadata of a plurality of multimedia objects captured by a plurality of users. An analysis tool receives, for each user, metadata describing each multimedia object in the plurality of objects associated with that user. Each multimedia object includes one or more attributes imputed to that object based on the metadata. The analysis tool identifies one or more concepts from the one or more attributes. The analysis tool determines from the one or more concepts, a hierarchical relationship between a first concept and at least a second concept.

Abstract: Techniques are disclosed herein for learning latent interests based on metadata of one or more images. An analysis tool evaluates metadata associated with each digital multimedia object against a knowledge graph, where the knowledge graph is built from data including information external to each of the digital multimedia objects and where the knowledge graph provides a plurality of attributes. The analysis tool associates one or more of the plurality of attributes with each of the digital multimedia objects. Each of the attributes correlates with a time and a location described in the metadata of that object. The analysis tool identifies one or more concepts from attributes associated to each of the objects and maps each of the plurality of attributes to the one or more concepts.

Abstract: Techniques are disclosed herein for learning latent interests based on metadata of one or more images. An analysis tool associates one or more attributes with each of the objects based on a time and a location described in the metadata of that object. Each of the attributes describes one of a plurality of locations or an event scheduled to occur at one or more of the plurality of locations. The analysis tool identifies one or more concepts from a distribution of the one or more attributes to each of the objects. Each of the one or more concepts includes at least a first attribute in the distribution that co-occurs with a second attribute in the distribution.

Abstract: Techniques disclosed herein describe inferring user interests based on metadata of a plurality of multimedia objects captured by a plurality of users. An analysis tool receives, for each of the users, metadata describing each multimedia object in the plurality of objects associated with that user. Each multimedia object includes one or more attributes imputed to that object based on the metadata. The analysis tool identifies one or more concepts from the one or more attributes. Each concept includes at least a first attribute that co-occurs with a second attribute imputed to a first multimedia object. The analysis tool associates a first one of the plurality of users with at least one of the concepts based on the attributes imputed to multimedia objects associated with the first one of the plurality of users.

Abstract: Systems, apparatuses, and methods for identifying and delivering content to customers that is intended to encourage purchase of a product or service. In one embodiment, the invention provides two primary processes, operations, or functional elements. The first process enables a retailer/merchant to specify an identifier for an attribute or characteristic of a customer, retailer, device, etc. In some situations, the attribute or characteristic may take on more than one value, with the value depending upon one or more rules or conditions. The retailer may also specify a set of desired content elements and/or associate specific content elements with the identifier (such as by “tagging” specific content elements with the identifier and/or the attribute value). In some cases, the identifier identifies a specific rule set or class of content-related processes, and the content rule or rules define how (i.e.

Abstract: Techniques are disclosed herein for imputing attributes to multimedia content (e.g., an image or a video) based on metadata of the multimedia content. An analysis tool of a multimedia service platform evaluates content metadata to identify at least a time and a first location at which the content was captured. The time and first location is correlated with a knowledge graph. The knowledge graph stores information describing a plurality of locations, including the first location. The knowledge graph also stores information describing events scheduled to occur at one or more of the plurality of locations. The analysis tool identifies, from the correlated information, one or more of the attributes of the first location to impute to the content. Thereafter, the analysis tool imputes the identified attributes to the content.

Abstract: Techniques are disclosed herein for learning latent interests based on metadata of one or more images. An analysis tool associates one or more attributes with each of the objects based on a time and a location described in the metadata of that object. Each of the attributes describes one of a plurality of locations or an event scheduled to occur at one or more of the plurality of locations. The analysis tool identifies one or more concepts from a distribution of the one or more attributes to each of the objects. Each of the one or more concepts includes at least a first attribute in the distribution that co-occurs with a second attribute in the distribution.

Abstract: Techniques disclosed herein describe identifying one or more products to recommend to a plurality of users based on metadata of digital multimedia files. A product feed extractor extracts a product feed. The product feed lists one or more items. The product feed extractor identifies, for each item in the product feed, one or more attributes describing the item. Each item is mapped to concepts of an interest taxonomy based on the identified one or more attributes for the item. One or more users are associated with each concept in the interest taxonomy based on the metadata of the digital multimedia files. Each item is associated to one or more of the users based on the mapping.

Abstract: Techniques disclosed herein describe inferring user interests based on metadata of a plurality of multimedia objects captured by a plurality of users. An analysis tool receives, for each of the users, metadata describing each multimedia object in the plurality of objects associated with that user. Each multimedia object includes one or more attributes imputed to that object based on the metadata. The analysis tool identifies one or more concepts from the one or more attributes. Each concept includes at least a first attribute that co-occurs with a second attribute imputed to a first multimedia object.