Abstract: Systems and methods for implementing an artificial intelligence-powered smart gallery are provided. The smart gallery can be a software application that includes an ensemble of visual content-related features for end users. These features can include, but are not limited to, a set of user interactions to be performed on visual media or other content items, recommendations on and for a user's content items, analytical evaluations of a user's content items, as well as intelligent selection and optimization functions to enhance the performance of at least one of the user's content items. The presently disclosed systems can be integrated directly with an image management service or photo gallery that is part of a mobile operating system or other non-mobile software applications residing on a computing device.

Abstract: A method includes determining a recommended aspect for content that includes at least one image. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in at least one social network, website, application software, or mobile application software (app). The method further includes generating the content including the at least one image according to the recommended aspect. The recommended aspect is an aspect of the at least one image.

Abstract: Systems and methods for implementing an artificial intelligence-powered smart gallery are provided. The smart gallery can be a software application that includes an ensemble of visual content-related features for end users. These features can include, but are not limited to, a set of user interactions to be performed on visual media or other content items, recommendations on and for a user's content items, analytical evaluations of a user's content items, as well as intelligent selection and optimization functions to enhance the performance of at least one of the user's content items. The presently disclosed systems can be integrated directly with an image management service or photo gallery that is part of a mobile operating system or other non-mobile software applications residing on a computing device.

Abstract: Systems, methods, and storage media for evaluating images are disclosed.

Abstract: A method includes determining a recommended aspect for future content, action, or behavior. The recommended aspect is determined at least in part based on activity data that indicates aspects of other content authored by or interacted with by a plurality of authors in a social network prior to receipt of the selection. The method also includes providing the recommended aspect for the future content, action, or behavior for a unique author in the social network. The method also includes determining whether the unique author posted the future content, action, or behavior with the recommended aspect in the at least one social network. The method also includes determining, based at least in part on the determination of whether the unique author posted the future content, action, or behavior with the recommended aspect, an agility rating that indicates a responsiveness of the unique author to the recommended aspect.