Abstract: Technologies for displaying supplemental interface tiles on a user interface of a computing device include determining supplemental information and/or available user interactions associated with a user interface tile displayed on the user interface. A supplemental interface tile is displayed in association with the user interface tile in response to a user selecting the user interface tile. The supplemental information and/or an interaction widget corresponding to the available user interactions may be displayed on the supplemental interface tile based on the selection gesture used by the user to select the user interface tile.

Abstract: Technologies for displaying supplemental interface tiles on a user interface of a computing device include determining supplemental information and/or available user interactions associated with a user interface tile displayed on the user interface. A supplemental interface tile is displayed in association with the user interface tile in response to a user selecting the user interface tile. The supplemental information and/or an interaction widget corresponding to the available user interactions may be displayed on the supplemental interface tile based on the selection gesture used by the user to select the user interface tile.

Abstract: Technologies for displaying sort results on a computing device includes determining a plurality of sort criteria of the set of data items to be sorted and associating a visual property to each sort criteria. A sort priority of sort criteria may also be determined. The set of data items are sorted based on the sort criteria and sort priority. The sort result is displayed using the visual properties of identify the sorting order of each corresponding sort criteria. The visual properties may include, for example, the display location, size, color, animation, or other visual aspect of the data items.

Abstract: Technologies for displaying sort results on a computing device includes determining a plurality of sort criteria of the set of data items to be sorted and associating a visual property to each sort criteria. A sort priority of sort criteria may also be determined. The set of data items are sorted based on the sort criteria and sort priority. The sort result is displayed using the visual properties of identify the sorting order of each corresponding sort criteria. The visual properties may include, for example, the display location, size, color, animation, or other visual aspect of the data items.

Abstract: Technologies for displaying sort results on a computing device includes determining a plurality of sort criteria of the set of data items to be sorted and associating a visual property to each sort criteria. A sort priority of sort criteria may also be determined. The set of data items are sorted based on the sort criteria and sort priority. The sort result is displayed using the visual properties of identify the sorting order of each corresponding sort criteria. The visual properties may include, for example, the display location, size, color, animation, or other visual aspect of the data items.

Abstract: Technologies are provided in embodiments to detect malware. Embodiments are to receive context information related to a potentially affected system, create a prediction of normal traffic based, at least in part, on the received context information, compare network traffic associated with the potentially affected system to the prediction of normal traffic, and take an action based, at least in part, on the comparison. The action may be taken if the network traffic is not within an acceptable deviation range of the prediction of normal traffic or the action may be taken based on a degree of deviation of the network traffic from the prediction of normal traffic. The acceptable deviation range and the degree of deviation are based, at least in part, on a type of network traffic. The acceptable deviation range and the degree of deviation are based, at least in part, on a volume of network traffic.

Abstract: Technologies for displaying sort results on a computing device includes determining a plurality of sort criteria of the set of data items to be sorted and associating a visual property to each sort criteria. A sort priority of sort criteria may also be determined. The set of data items are sorted based on the sort criteria and sort priority. The sort result is displayed using the visual properties of identify the sorting order of each corresponding sort criteria. The visual properties may include, for example, the display location, size, color, animation, or other visual aspect of the data items.

Abstract: Technologies for displaying supplemental interface tiles on a user interface of a computing device include determining supplemental information and/or available user interactions associated with a user interface tile displayed on the user interface. A supplemental interface tile is displayed in association with the user interface tile in response to a user selecting the user interface tile. The supplemental information and/or an interaction widget corresponding to the available user interactions may be displayed on the supplemental interface tile based on the selection gesture used by the user to select the user interface tile.

Abstract: Embodiments of techniques and systems for performance of predicted actions are described. In embodiments, a predicted action performance engine (“PAE”) may receive one or probabilities of potential actions that may be performed on a computing device. The PAE may also receive a system context for the computing device describing available resources on the computing device, workload, etc. Based on these probabilities and the system context, the PAE may determine one or more predicted actions and/or resource utilizations which are likely to occur and which may be performed ahead of time. The PAE may then facilitate performance of these actions and/or resource utilizations. Other embodiments may be described and claimed.

Abstract: Technologies for displaying notifications on a mobile computing device includes determining a notification category for each notification, determining a priority level for each notification in each notification category, and determining a priority order of the notification categories. The notification categories are displayed as notification containers in which the associated notifications are displayed. Each notification may be displayed as separate tile having a location, size, color, and/or other visual property based on the relative priority level of the individual notification.

Abstract: Technologies for displaying sort results on a computing device includes determining a plurality of sort criteria of the set of data items to be sorted and associating a visual property to each sort criteria. A sort priority of sort criteria may also be determined. The set of data items are sorted based on the sort criteria and sort priority. The sort result is displayed using the visual properties of identify the sorting order of each corresponding sort criteria. The visual properties may include, for example, the display location, size, color, animation, or other visual aspect of the data items.

Abstract: Technologies for displaying supplemental interface tiles on a user interface of a computing device include determining supplemental information and/or available user interactions associated with a user interface tile displayed on the user interface. A supplemental interface tile is displayed in association with the user interface tile in response to a user selecting the user interface tile. The supplemental information and/or an interaction widget corresponding to the available user interactions may be displayed on the supplemental interface tile based on the selection gesture used by the user to select the user interface tile.

Abstract: Embodiments of techniques and systems for performance of predicted actions are described. In embodiments, a predicted action performance engine (“PAE”) may receive one or probabilities of potential actions that may be performed on a computing device. The PAE may also receive a system context for the computing device describing available resources on the computing device, workload, etc. Based on these probabilities and the system context, the PAE may determine one or more predicted actions and/or resource utilizations which are likely to occur and which may be performed ahead of time. The PAE may then facilitate performance of these actions and/or resource utilizations. Other embodiments may be described and claimed.

Abstract: Technologies for generating and displaying media search results on a computing device include determining search criteria based on media stored and/or accessed on the computing device. One or more search queries are generated based on the search criteria and submitted to one or more search engines. Any search results are analyzed for relevancy to the media and/or user, and relevant search results are displayed on a display of the computing device. The user may select one or more of the displayed search results to access additional information, websites, and/or perform other functions related to the displayed search result.

Abstract: Embodiments of techniques and systems for performance of predicted actions are described. In embodiments, a predicted action performance engine (“PAE”) may receive one or probabilities of potential actions that may be performed on a computing device. The PAE may also receive a system context for the computing device describing available resources on the computing device, workload, etc. Based on these probabilities and the system context, the PAE may determine one or more predicted actions and/or resource utilizations which are likely to occur and which may be performed ahead of time. The PAE may then facilitate performance of these actions and/or resource utilizations. Other embodiments may be described and claimed.

Abstract: Technologies are provided in embodiments to detect malware. Embodiments are to receive context information related to a potentially affected system, create a prediction of normal traffic based, at least in part, on the received context information, compare network traffic associated with the potentially affected system to the prediction of normal traffic, and take an action based, at least in part, on the comparison. The action may be taken if the network traffic is not within an acceptable deviation range of the prediction of normal traffic or the action may be taken based on a degree of deviation of the network traffic from the prediction of normal traffic. The acceptable deviation range and the degree of deviation are based, at least in part, on a type of network traffic. The acceptable deviation range and the degree of deviation are based, at least in part, on a volume of network traffic.

Abstract: Technologies are provided in embodiments to detect malware. The embodiments are configured to receive an entropy rate of a potentially affected system. The embodiments are further configured to compare the entropy rate to an average entropy rate, and to determine a probability that the potentially affected system is infected with malware. The probability is based, at least in part, on a result of the comparison. More specific embodiments can include the received entropy rate being generated, at a least in part, by a genetic program. Additional embodiments can include a configuration to provide the potentially affected system with a specified time-span associated with the genetic program. The specified time-span indicates an amount of time to observe context information on the potentially affected system. In at least some embodiments, the result of the comparison includes an indicator of whether the entropy rate correlates to an infected system or a healthy system.

Abstract: Embodiments of apparatus, packages, computer-implemented methods, systems, devices, and computer-readable media (transitory and non-transitory) are described herein for providing a notification of a message to a recipient for consumption using a computing device. In various embodiments, provision of the notification may be in a timing or manner that is based on a characteristic of the message, an operational context of the system, and/or empirical data about preferred timing or manner of notification of at least another message to the same or different recipient. In various embodiments, the at least another message may share the same characteristic, or may have a related characteristic.

Abstract: Embodiments of methods, systems, and storage medium for enhancing a user interface of an application with additional information are disclosed herein. In one instance, the method may include a computing device detecting an event associated with an application executing on the computing device, a container of a user interface of the application, or at least one object of the container; determining additional information to augment basic information associated with the at least one object of the container of the user interface of the application; and augmenting the basic information of the at least one object in a display of the container with the additional information or one or more indicators corresponding to the additional information. The additional information is associated with the object. Other embodiments may be described and/or claimed.

Abstract: Embodiments of techniques and systems for facilitation of performance of predicted actions based on application-provided contexts are described. In embodiments, applications may include a context component that is configured to provide context information, such as in the form of one or more tags, to a prediction engine. In embodiments, the prediction engine may tag one or more observed actions and/or resource utilizations with the received tag, allowing for increased knowledge of application status when making predictions from the observed actions. In embodiments, the tag may also be applied to a current action being used to determine potential actions for early performance. Other embodiments may be described and claimed.