FACEBOOK, INC.

A haptic stimulator includes a multilayer sheet with a piezoelectric or electroactive polymer layer adapted to mechanically deform upon application of voltage, the multilayer sheet secured to a substrate, and a source of electrical stimulation coupled to drive electrodes on the polymer layer with an AC signal to vibrate the polymer layer. In particular embodiments, the polymer contains polyvinylidene fluoride, and electrodes are patterned to control local electric fields. Another haptic stimulator has first and second electrodes with an air gap and an insulating sheet between first and second electrodes, with an AC voltage driver connecting to the electrodes. In a method of providing haptic stimulation to skin an alternating current supply drives first and second electrodes, the electrodes disposed upon either a piezoelectric or electroactive polymer sheet, vibrating the polymer layer by driving the electrodes; and coupling vibrations of the polymer layer to the sensate skin.

A method and system are described. The method includes determining, in a development phase of a software service, whether the software service complies with a first policy in response to a request. The method also monitors, in at least one of a testing phase or a production phase of the software service, whether operation of the software service complies with a second policy. Based on the determining and the monitoring, an indication of a service vulnerability is generated in response to the software service failing to comply with the first policy in the development phase or failing to comply with the second policy in the at least one of the testing phase or the production phase.

Techniques for limiting unwanted comments are described. For example, a social networking system may receive, from a first account of the social networking system, a request to post content. In some examples, the social networking system may further receive an instruction to limit an ability of certain accounts lacking a characteristic from commenting on the first account’s content. In some cases, the social networking system may receive, from a second account. Upon determining that the second account lacks the characteristic, the social networking system may refrain from sharing the comment with one or more additional users.

Techniques for identifying a trigger associated with a recommendation to modify settings associated with a user account of a social networking system, and providing a recommendation to a user to review and/or modify the settings are described herein. The settings may include settings associated with other users commenting on data published by the user via the social networking system (e.g., posts published by the user), tagging or mentioning the user in a post, sending a direct message to the user, and/or the like. That is, the social networking system may be configured to identify a triggering event (e.g., trigger) associated with interactions with the user account, and to provide a recommendation for the user to review and/or modify one or more settings associated with the user account based on the interactions, such as to improve an overall user experience with the social networking system.

An online system receives information describing a target group of online system users from a third party system that includes one or more user properties, which may identify an action performed by a an online user within a time interval to include the user in the target group. When an opportunity to present advertisement requests to a user is identified, the online system retrieves actions associated with the user and times associated with the actions. If an action associated with the user matches the action identified by the user properties and occurred within the time interval identified by the user properties, and other characteristics of the user satisfy at least a threshold number of the user properties, the online system includes the user in the target group. Advertisement requests having targeting criteria, including the target group, satisfied by characteristics of the user are evaluated for presentation to the user.

In one embodiment, a method includes rendering a first output image comprising one or more augmented-reality (AR) objects for displays of an AR rendering device of an AR system associated with a first user. The method further includes accessing sensor signals associated with the first user. The one or more sensor signals may be captured by sensors of the AR system. The method further includes detecting a change in a context of the first user with respect to a real-world environment based on the sensor signals. The method further includes rendering a second output image comprising the AR objects for the displays of the AR rendering device. One or more of the AR objects may be adapted based on the detected change in the context of the first user.

Methods, systems, and storage media for augmenting a video are disclosed. Exemplary implementations may: receive a selection of an effect; receive user-generated content comprising video data and audio data; detect a characteristic of the audio data comprising at least a volume and/or a pitch of the audio data during a period of time; determine a series of numeric values based on the characteristic of the audio data during the period of time, individual numeric values of the series of numeric values being correlated with an amplitude of the volume and/or pitch at a discrete point within the period of time; and augment at least one of the video data and/or the audio data to include the effect based on the series of numeric values at discrete points in time within the period of time.

According to examples, a system for generating and providing organization-bounded spaces for a virtual community of users may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to generate an organization-bounded space; analyze user information to associate a user with the organization-bounded space; enable the user to receive and publish a content item; and implement a security feature for communications associated with an organization-bounded space and/or its associated users. The processor may further determine recommend a group to the user and identify a user representative for the organization-bounded space.

A method for analysis of an image comprises: receiving ( 402 ) the image to be analyzed; processing ( 404 ) the image with a machine-learned model, wherein the machine-learned model is configured to predict at least an intrinsic parameter of the image using at least a first variable of the machine-learned model, wherein the first variable defines a relation between a radial distortion of the image and a focal length of the image; and outputting ( 406 ) the intrinsic parameter of the image. Also, methods for forming a 3D reconstruction of a scenery, for training a machine-learned model for analysis of an image and for generating a dataset of images for training a machine-learned model are disclosed.

Techniques are described for a social networking system to provide an interactive live stream event. In some cases, the social networking system may be configured to allow a user to both view a live stream event while preforming other operations associated with the social networking system, such as reviewing items, providing comments, and completing purchase transactions.