Abstract: A method can include receiving a starting scene for display and an ending scene for display, the starting scene including at least a first graphical element in a first location and a second graphical element in a second location, the ending scene including at least the first graphical element in a third location and the second graphical element in a fourth location; generating multiple individual candidate animations based on the starting scene and the ending scene, each of the multiple candidate animations including display of the first graphical element transitioning from the first location to the second location and display of the second graphical element transitioning from the third location to the fourth location; for each of the multiple individual candidate animations, determining a score; selecting one of the individual candidate animations based on the determined scores for the individual candidate animations; and presenting the selected individual candidate animation.

Abstract: A method can include receiving a starting scene for display and an ending scene for display, the starting scene including at least a first graphical element in a first location and a second graphical element in a second location, the ending scene including at least the first graphical element in a third location and the second graphical element in a fourth location; generating multiple individual candidate animations based on the starting scene and the ending scene, each of the multiple candidate animations including display of the first graphical element transitioning from the first location to the second location and display of the second graphical element transitioning from the third location to the fourth location; for each of the multiple individual candidate animations, determining a score; selecting one of the individual candidate animations based on the determined scores for the individual candidate animations; and presenting the selected individual candidate animation.

Abstract: A method can include receiving a starting scene for display and an ending scene for display, the starting scene including at least a first graphical element in a first location and a second graphical element in a second location, the ending scene including at least the first graphical element in a third location and the second graphical element in a fourth location; generating multiple individual candidate animations based on the starting scene and the ending scene, each of the multiple candidate animations including display of the first graphical element transitioning from the first location to the second location and display of the second graphical element transitioning from the third location to the fourth location; for each of the multiple individual candidate animations, determining a score; selecting one of the individual candidate animations based on the determined scores for the individual candidate animations; and presenting the selected individual candidate animation.

Abstract: Systems, device and techniques are disclosed for implementing a security configuration change based on one or more base events and a current security configuration. An inference module may identify a security configuration change based on receiving base events from a state storage/event listener and analyzing the base events to determine if a current security configuration is optimal given the base events.

Abstract: A method can include receiving a starting scene for display and an ending scene for display, the starting scene including at least a first graphical element in a first location and a second graphical element in a second location, the ending scene including at least the first graphical element in a third location and the second graphical element in a fourth location; generating multiple individual candidate animations based on the starting scene and the ending scene, each of the multiple candidate animations including display of the first graphical element transitioning from the first location to the second location and display of the second graphical element transitioning from the third location to the fourth location; for each of the multiple individual candidate animations, determining a score; selecting one of the individual candidate animations based on the determined scores for the individual candidate animations; and presenting the selected individual candidate animation.

Abstract: Systems, device and techniques are disclosed for implementing a security configuration change based on one or more base events and a current security configuration. An inference module may identify a security configuration change based on receiving base events from a state storage/event listener and analyzing the base events to determine if a current security configuration is optimal given the base events.

Abstract: A designer application is used to generate multiple design layouts, each comprising a different arrangement of visual elements selected from a predetermined set of visual elements for a different presentation size. The designer application then displays a presentation interface partitioned into a number of respective sample spaces each corresponding to a different presentation size. A first of the multiple design layouts is displayed in the presentation interface, in connection with a first sample space of the respective sample spaces. In response to the size of the first design layout being adjusted to within a predetermined distance of, or to overlap, a second sample space, the designer application automatically changes the display of the first design layout to a display of a second design layout having the presentation size associated with the second sample space, with a different arrangement of visual elements from the predetermined set of visual elements.

Abstract: Systems and techniques are provided for aggregation of asynchronous trust outcomes in a mobile device. Trust levels may be determined from the signals. Each trust level may be determined independently of any other trust level. Each trust level may be determined based on applying to the signals heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems. An aggregated trust outcome may be determined by aggregating the trust levels. Aggregating the trust levels may include applying heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems to the trust levels, and wherein the aggregated trust outcome; and sending the aggregated trust outcome to be implemented by the enabling, disabling, or relaxing of at least one security measure based on the aggregated trust outcome.

Abstract: Systems and techniques are provided for aggregation of asynchronous trust outcomes in a mobile device. Trust levels may be determined from the signals. Each trust level may be determined independently of any other trust level. Each trust level may be determined based on applying to the signals heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems. An aggregated trust outcome may be determined by aggregating the trust levels. Aggregating the trust levels may include applying heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems to the trust levels, and wherein the aggregated trust outcome; and sending the aggregated trust outcome to be implemented by the enabling, disabling, or relaxing of at least one security measure based on the aggregated trust outcome.

Abstract: Systems, device and techniques are disclosed for implementing a security configuration change based on one or more base events and a current security configuration. An inference module may identify a security configuration change based on receiving base events from a state storage/event listener and analyzing the base events to determine if a current security configuration is optimal given the base events.

Abstract: Systems and techniques are provided for aggregation of asynchronous trust outcomes in a mobile device. Trust levels may be determined from the signals. Each trust level may be determined independently of any other trust level. Each trust level may be determined based on applying to the signals heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems. An aggregated trust outcome may be determined by aggregating the trust levels. Aggregating the trust levels may include applying heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems to the trust levels, and wherein the aggregated trust outcome; and sending the aggregated trust outcome to be implemented by the enabling, disabling, or relaxing of at least one security measure based on the aggregated trust outcome.

Abstract: In some examples, a computing device includes at least one processor, wherein the at least one processor is configured to output for display, a graphical user interface comprising a plurality of partitions, wherein each respective partition of the plurality of partitions is a non-overlapping region of the graphical user interface and each respective partition of the plurality of partitions is individually addressable by the window manager module. The at least one processor may receive from an application module, a request to output, for display, information indicated by the application module, wherein the request addresses a particular partition of the plurality of partitions in which to display the information. The at least one processor may output for display a window including the information in the particular partition.

Abstract: A computing device outputs an arrangement of a set of windows organized into one or more visual stacks. Each respective visual stack from the one or more visual stacks comprises a respective subset of the set of windows sequenced based on a characteristic. The computing device determines that a first window from the set of windows has a particular relationship with a second window from the set of windows, wherein the particular relationship is not based on the characteristic. The computing device outputs, responsive to the determining, a visual indication of the first window that visually differentiates the first window from windows from the set of windows not having the particular relationship with the second window.

Abstract: Systems, device and techniques are disclosed for implementing a security configuration change based on one or more base events and a current security configuration. An inference module may identify a security configuration change based on receiving base events from a state storage/event listener and analyzing the base events to determine if a current security configuration is optimal given the base events.

Abstract: Systems, device and techniques are disclosed for implementing a security configuration change based on one or more base events and a current security configuration. An inference module may identify a security configuration change based on receiving base events from a state storage/event listener and analyzing the base events to determine if a current security configuration is optimal given the base events.

Abstract: In one example, a technique may include outputting, by a computing device associated with a user and for playback at a first volume level by an audio output device, first audio data, receiving, by the computing device, audio input data, and responsive to determining, by the computing device, that the audio input data includes speech associated with an entity different from the user, determining, by the computing device and based at least in part on the audio input data, whether to output second audio data. The method may also include, responsive to determining to output the second audio data: determining, by the computing device, a second volume level lower than the first volume level, and outputting, by the computing device and for playback at the second volume level by the audio output device, the second audio data.

Abstract: Systems and techniques are provided for aggregation of asynchronous trust outcomes in a mobile device. Trust levels may be determined from the signals. Each trust level may be determined independently of any other trust level. Each trust level may be determined based on applying to the signals heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems. An aggregated trust outcome may be determined by aggregating the trust levels. Aggregating the trust levels may include applying heuristics, mathematical optimization, decisions trees, machine learning systems, or artificial intelligence systems to the trust levels, and wherein the aggregated trust outcome; and sending the aggregated trust outcome to be implemented by the enabling, disabling, or relaxing of at least one security measure based on the aggregated trust outcome.

Abstract: Systems, device and techniques are disclosed for implementing a security configuration change based on one or more base events and a current security configuration. An inference module may identify a security configuration change based on receiving base events from a state storage/event listener and analyzing the base events to determine if a current security configuration is optimal given the base events.

Abstract: While a computing device is in a limited-access state, the computing device may output for display a user interface element. Responsive to the computing device receiving an indication of a first user input at a region of a presence-sensitive input device that corresponds to at least a portion of the user interface element as displayed, the computing device may alter the visual appearance of the user interface element to indicate that the user interface element is selected. Responsive to the computing device determining that it has received the indication of the second user input at the region of the presence-sensitive input device within the predefined period of time subsequent to receiving the indication of the first user input, the computing device may activate the user interface element.

Abstract: In one example, a technique may include outputting, by a computing device associated with a user and for playback at a first volume level by an audio output device, first audio data, receiving, by the computing device, audio input data, and responsive to determining, by the computing device, that the audio input data includes speech associated with an entity different from the user, determining, by the computing device and based at least in part on the audio input data, whether to output second audio data. The method may also include, responsive to determining to output the second audio data: determining, by the computing device, a second volume level lower than the first volume level, and outputting, by the computing device and for playback at the second volume level by the audio output device, the second audio data.