Abstract: Systems and methods provide accelerated MR thermometry utilizing prior knowledge about the images to be reconstructed from incomplete k-space data, thereby facilitating accurate reconstruction. In various embodiments, missing data is computationally estimated using a machine learning algorithm such as a neural network, and an image is generated based on iteratively updated estimated missing information.

Abstract: Techniques are described that determine when content to be shared by a user may be offensive, and providing the user with a notification that the content may be offensive. In some examples, the user may be provided with a notification that includes a selectable option allowing the user to withdraw or undo the content from being shared, additional information regarding why the content was determined to be offensive, content sharing guidelines, and/or advice for how to revise the content to be less offensive. In some examples, the notification may be presented for a predetermined period of time, and the content may be held in a pending state and not shared with other users until expiration of the predetermined period.

Abstract: Techniques are described that determine when content to be shared by a user may be offensive, and providing the user with a notification that the content may be offensive. In some examples, the user may be provided with a notification that includes a selectable option allowing the user to withdraw or undo the content from being shared, additional information regarding why the content was determined to be offensive, content sharing guidelines, and/or advice for how to revise the content to be less offensive. In some examples, the notification may be presented for a predetermined period of time, and the content may be held in a pending state and not shared with other users until expiration of the predetermined period.

Abstract: Techniques are described that determine when content to be shared by a user may be offensive, and providing the user with a notification that the content may be offensive. In some examples, the user may be provided with a notification that includes a selectable option allowing the user to withdraw or undo the content from being shared, additional information regarding why the content was determined to be offensive, content sharing guidelines, and/or advice for how to revise the content to be less offensive. In some examples, the notification may be presented for a predetermined period of time, and the content may be held in a pending state and not shared with other users until expiration of the predetermined period.

Abstract: In one embodiment, a method includes analyzing social graph information associated with users of a social-networking system, developing feature vectors describing elements of social graph information, and applying the feature vectors to determine the relevance of elements of social graph information to the location of special relevance. The method further includes receiving at least one data point from a user's networked device, applying the feature vectors to the at least one data point to determine the relevance of the at least one data point to the location of special relevance, and assigning weight to each data point based on the determined relevance of each data point to the location of special relevance. Finally, the method includes processing the at least one data point according to its assigned weight and forming a prediction, to a particular degree of certainty, indicating the user's location of special relevance.