Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting modified media are disclosed. In one aspect, a method includes the actions of receiving an item of media content. The actions further include providing the item as an input to a model that is configured to determine whether the item likely includes audio of a user's voice that was not spoken by the user or likely includes video of the user that depicts actions of the user that were not performed by the user. The actions further include receiving, from the model, data indicating whether the item likely includes audio of the user's voice that was not spoken by the user or includes video of the user that depicts actions of the user that were not performed by the user. The actions further include determining whether the item likely includes deepfake content.

Delivering content based on predicted effect can include analyzing, using computer hardware, digital content before providing the digital content to a device of a user, predicting, using the computer hardware, an effect that the digital content will have on a circadian rhythm of the user, based on the predicted effect, modifying, using the computer hardware, the digital content to generate modified digital content, and providing, using the computer hardware, the modified digital content to the device of the user.

Disclosed is an electronic device. The electronic device according to an embodiment includes a memory and a processor electrically connected with the memory, wherein the processor is configured to obtain an identification of a portion of the media data and a sequence of heart rate (HR) data of a user of the electronic device while the portion of media data is output, and store, in the memory, the identification of the portion of the media data when the HR data sequence satisfies a specified condition.

Annotation of large image datasets is provided. In various embodiments, a plurality of medical images is received. At least one collection is formed containing a subset of the plurality of medical images. One or more image from the at least one collection is provided to each of a plurality of remote users. An annotation template is provided to each of the plurality of remote users. Annotations for the one or more image are received from each of the plurality of remote users. The annotations and the plurality of medical images are stored together.

Disclosed is a data communication system for creating and/or experiencing an internet-based augmented reality content which includes a creator data communication device to be used by a creator, and a user data communication device to be used by a user and an internet-based data processing device and, a method for creating an internet-based augmented reality content using the inventive data communication system, and a method for experiencing an internet-based augmented reality content using the inventive data communication system.

A screen output control unit of a medical checkup result output server transmits a medical checkup result display screen to a client terminal. An improvement proposal configured to include an abnormal item, which is a measurement item having a measurement value in the abnormal range, and an improvement action, which is an action corresponding to the abnormal item and performed in a case where there is a significant improvement in the measurement value, is displayed on the medical checkup result display screen. A non-extraction item, which is an abnormal item for which no improvement action is extracted, is not displayed on the medical checkup result display screen.

In one aspect, a method includes identifying a geographic area of a content-presentation device. The method also includes using at least the identified geographic area as a basis to select, from among a plurality of reference fingerprint data sets, a reference fingerprint data set that corresponds with the identified geographic area. The method also includes transmitting to the content-presentation device, the selected reference fingerprint data set that corresponds with the identified geographic area to facilitate the content-presentation device detecting a match between query fingerprint data representing content received by the content-presentation device and at least a portion of reference fingerprint data in the transmitted reference fingerprint data set.

A system and method for controlling a non-tactile device including a receiving device configured to receive signals corresponding to a user's brain waves or movements, the brain waves or movements corresponding to a series of directional intentions, the intentions defining at least one line pattern, a processor configured to process the at least one line pattern, each of said at least one line patterns associated with an action of the device, and output a control signal to the non-tactile device related to the action.

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for displaying augmented reality content. The program and method provide for receiving, by a device, user input selecting an augmented reality content item for display, the augmented reality content item corresponding to a tutorial with augmented reality content; causing, in response to receiving the user input, a camera of the device to activate to capture an image feed; displaying tutorial content in conjunction with the image feed; and modifying the image feed with augmented reality content that corresponds to the tutorial content.

Systems and methods are directed to auto-adjusting play time of slides based on content intelligence. The system accesses media comprising a plurality of media items, wherein a media item of the plurality of media items comprises a first content type. The system performs machine analysis associated with the first content type. Based on the machine analysis, the system determines a first display time for the first content type and derives a total display time for the media item based on the first display time. If the media item includes a second content type, then the system performs machine analysis associated with the second content type and determines a second display time for the second content type. The total display time now comprises an aggregation of the first and second display times. The system can cause a machine action based on the total display time.