Apple Inc.

Facebook, Inc.

Meta Platforms, Inc.

Shannon M Ma

Lukas Michael Marti

Robert William Mayor

Devrim Varoglu

Pejman Lotfali Kazemi

Paolo D Concha

Mohammad Bidabadi

Joakim Linde

Augustin Prats

Brian J Tucker

Ryan Michael O'Rourke

Sharon Zeng

Christopher J Edmonds

Qikun Guo

Ronald Keryuan Huang

Michael P Dal Santo

Brendan Benjamin Aronoff

William Samuel Bailey

Martin Mroz

Aaron T Williams

Benjamin Grady Cunningham

Lionel Laurent Reyero

Rishi Pankaj Mody

Scott Hoyt

Matthew Reiss Baker

Nishad Agrawal

Jagdip Saund

Leon Yan

Mark Evan Davis

A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device—such as motion sensors, location sensors, ambient light sensors, and the like—may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

Method and apparatus for automatically setting alarms and notifications

A processor-based personal electronic device (such as a smartphone) is programmed to automatically respond to data sent by various sensors from which the user's activity may be inferred. One or more alarms on the device may be temporarily disabled when sensor data indicates that the user is asleep. One or more of the sensors may be worn by the user and remote from the device. A wireless communication link may be used by the device to obtain remote sensor data. Data from on-board sensors in the device&#x2014;such as motion sensors, location sensors, ambient light sensors, and the like&#x2014;may also be used to deduce the user's current activity. User data (such as calendar entries) may also be used to determine likely user activity and set alarms accordingly. Biometric data from a second, nearby person may also be used to automatically select certain alarm modes on a first person's device.

Techniques are described that enable a user to edit and customize captions generated by a social networking system, such as transcriptions of an audio clip. In some cases, a social networking system receives, from a first user account, a video and an audio clip associated with the video, and determines that the audio clip contains speech. The social networking system may leverage a speech-to-text component to generate a first text caption based at least in part on the speech in the audio clip. The social networking system provides the first text caption to the first user account, and receives a user input to modify a word included in the first text caption. The social networking system generates a second text caption based at least in part on the user input, and provides the video, including the second text caption, to a second user account.

Caption customization and editing

Display screen with a graphical user interface

Systems and techniques are described that enable users to interact and share content through a social network application and/or service with other users. A social networking system may receive status information (e.g., a heartbeat) associated with a first account, where the status information includes first location information and/or first activity information associated with the first account, and may determine a status signal based at least in part on a context associated with the first account and the status information. The social networking system may determine a status associated with the first account, where the status includes second location information and/or second activity information associated with the user device which is less specific than the first location information and first activity information. The social network system may send the status to a second account.

Social network status

Techniques of category-based fence are described. A category-based fence can correspond to a group of signal sources instead of a point location fixed to latitude and longitude coordinates. The group of signal sources can represent a category of entities, e.g., a particular business chain. The signal sources can be distributed to multiple discrete locations. A category-based fence associated with the group, accordingly, can correspond to multiple locations instead of a single point location and a radius. Each signal source in the group can be associated with a category identifier unique to the group and uniform among signal sources in the group. The category identifier can be programmed into each signal source. A mobile device can enter the category-based fence by entering any of the discrete locations when the mobile device detects the signal identifier. The mobile device can then execute an application program associated with the category-based fence.

Category-based fence

Systems, methods, and non-transitory computer-readable media can present a content feed through a display screen, the content feed including one or more content items. At least one content item in the content feed for which a layout is to be generated can be determined. The layout for the content item can be generated prior to the content item being accessed.

Systems and methods for preloading content

Techniques of range free proximity determination are described. A mobile device can determine an entry into or exit from a proximity fence upon determining that the mobile device is sufficiently close to a signal source. The proximity fence can be a virtual fence defined by the signal source and associated with a service. The mobile device can detect signals from multiple signal sources. The mobile device can determine that, among the signal sources, one or more signal sources are located closest to the mobile device based on a ranking of the signal sources using signal strength. The mobile device can determine a probability indicating a confident level of the ranking. The mobile device can determine that the mobile device entered or exited a proximity fence associated with a highest ranked signal source satisfying a confidence threshold.

Range-free proximity determination

Methods, program products, and systems for estimating a location of a mobile device in a venue are provided. The venue can have pathways represented by a path network that includes segments connected by junctions. Estimating the location can include determining a first set of candidate locations for the mobile device, and mapping some of the candidate locations to updated candidate locations that are on or closer to one or more segments of the path network based on distances between the candidate locations and respective segments, resulting in a second set of candidate locations for the mobile device. The location of the mobile device can be derived from the second set of candidate locations.

Pathway matching

Growing community of inventors

San Francisco, CA, United States of America

Shannon M Ma