Abstract: The present disclosure provides techniques for graphics translation. A subset of a plurality of natural language image descriptions for an image of a product is received. A set of shared natural language descriptors is identified in the subset of the plurality of natural language image descriptions. The set of shared natural language descriptors is aggregated, and a description for the first image is generated based on the aggregated set of shared natural language image descriptions.

Abstract: The present disclosure provides techniques for graphics translation. A plurality of natural language image descriptions is collected for an image of a product. An overall description for the image is generated using one or more models, based on the plurality of natural language image descriptions, by: identifying a set of shared descriptors used in at least a subset of the plurality of natural language image descriptions, and aggregating the set of shared descriptors to form the overall description. A first request to provide a description of the first image is received, and the overall description is returned in response to the first request, where the overall description is output using one or more text-to-speech techniques.

Abstract: Systems and methods of visually indicating a current user activity or status on a display of an ear wearable device are provided. In one exemplary embodiment, a method comprises, by an ear wearable device that includes a display that is configured to be viewable while the ear wearable device is worn, receiving, from a first network node over a wireless communication channel, a first display object of a set of display objects that represents user activity or status associated with the ear wearable device or an indication associated with the first display object, with each display object being configured for display on the display of the ear wearable device so as to visually indicate the current user activity or status, the first network node being enabled to determine the current user activity or status and obtain the first display object based on the current user activity or status.

Abstract: A computing device provides shoppers with a frictionless commerce experience. The computing device determines, tracks, and stores certain physical characteristics and/or attributes of the products selected by a shopper for purchase. The device analyzes these attributes with respect to the shopper's particular purchasing habits and uses the results of that analysis to recommend products to the shopper. Additionally, the computing device may modify the sales price of the product, or augment the shopper's order with the same or similar products, based on the results of the analysis.

Abstract: A method and system are provided for validating a promotional token redeemed at a Point-of-Sale (PoS) terminal, can include receiving, at the Point of Sale (PoS) terminal located at a physical retail location, a promotional token ID from a mobile device associated with a customer. The promotional token ID can be configured to uniquely identify a promotional token to promote a consumer packaged good (CPG) distributed on a social media platform. A CPG is entered at the PoS terminal to determine a CPG ID configured to uniquely identify the CPG. Next, a validation request is generated. The validation request comprises the promotional token ID and the CPG ID. The validation request is then transferred to a server having access to a private blockchain ledger. Upon completion, the PoS terminal will receive, from the server, the redemption status for the promotional token ID based on information stored in the private blockchain ledger responsive to the validation request.

Abstract: The present disclosure provides techniques for graphics translation. A plurality of natural language image descriptions is collected for an image of a product. An overall description for the image is generated using one or more models, based on the plurality of natural language image descriptions, by: identifying a set of shared descriptors used in at least a subset of the plurality of natural language image descriptions, and aggregating the set of shared descriptors to form the overall description. A first request to provide a description of the first image is received, and the overall description is returned in response to the first request, where the overall description is output using one or more text-to-speech techniques.