Abstract: According to some embodiments, a method includes: receiving, by a computing device, data about one or more applications associated with users of a group, the group being one in which to share information amongst the users; identifying, by the computing device, an application common to at least a subset of users of the group based on the received data; and providing, by the computing device, settings to a client device of another user outside the subset of users, the client device to apply the settings to enable the another user to access the application in common with use of the client device.

Abstract: According to some embodiments, a method includes: receiving, by a computing device, data about one or more applications associated with users of a group, the group being one in which to share information amongst the users; identifying, by the computing device, an application common to at least a subset of users of the group based on the received data; and providing, by the computing device, settings to a client device of another user outside the subset of users, the client device to apply the settings to enable the another user to access the application in common with use of the client device.

Abstract: The systems and methods discussed herein provide for intelligent identification of applications or tasks to be utilized or performed by a user based on a variety of variables that provide relevant context. In some implementations, applications may be pre-launched or instantiated prior to a user requesting to execute the application, reducing user experience latency and avoiding incorrect application launch. User behavior patterns, location, time of day, user events, etc. may be utilized to identify and recommend or pre-launch relevant applications that should or can be used at any given instance. In some implementations, deep linking may be used to pre-launch or suggest specific tasks to be performed within an application.

Abstract: Described embodiments provide a method, computer program product, and computer system for identifying, by a computing device, that an image is captured. A face in the image may be identified. An eye of the face in the image may be detected. A pupil of the eye included in the image may be detected, wherein the pupil may include objects reflected by the pupil. The objects reflected by the pupil may be augmented by augmenting the pupil in the image.

Abstract: The systems and methods discussed herein provide for intelligent identification of applications or tasks to be utilized or performed by a user based on a variety of variables that provide relevant context. In some implementations, applications may be pre-launched or instantiated prior to a user requesting to execute the application, reducing user experience latency and avoiding incorrect application launch. User behavior patterns, location, time of day, user events, etc. may be utilized to identify and recommend or pre-launch relevant applications that should or can be used at any given instance. In some implementations, deep linking may be used to pre-launch or suggest specific tasks to be performed within an application.

Abstract: Described embodiments provide a method, computer program product, and computer system for identifying, by a computing device, that an image is captured. A face in the image may be identified. An eye of the face in the image may be detected. A pupil of the eye included in the image may be detected, wherein the pupil may include objects reflected by the pupil. The objects reflected by the pupil may be augmented by augmenting the pupil in the image.