Meta Platforms, Inc.

Amazon Technologies, Inc.

Christopher E Balmes

Yiming Pu

Francislav Petrov Penov

Ganesh Venkatesh

Chengyuan Yan

John Jacob Blakeley

Amy Lawson Bearman

Matthew Dan Feiszli

Alireza Dirafzoon

Leif Haven Martinson

Jiwen Ren

Swati Goel

Zachary Phillip Trafny

Gabrielle Catherine Moskey

Alex D Wilson

Babak Damavandi

Michael Greenberg

Guangqiang Dong

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.

Dynamic content rendering based on context for AR and assistant systems

In one embodiment, a method includes receiving a media content for delivery to a first user, wherein the media content is associated with a priority level, accessing context information associated with the first user, wherein the context information is determined based on one or more multimodal signals from a client device associated with the first user, determining a delivery level for the media content based on the priority level of the media content and the context information, and instructing the client device to present a notification associated with the media content to the first user, wherein the notification is rendered in one or more modalities determined based on the delivery level for the media content.

Generating context-aware rendering of media contents for assistant systems

Techniques for determining an answer that relates to a user question when a system is unable to determine an exact answer to the user question are described. When the system receives a user question, the system may parse the user question to determine the words making up the question. The system may then process the words against an indexed dictionary of words to piece the words of the question together to from interpretations of the different possible relationships that may exist between the words. The system may attempt to determine an exact answer to the user question using the indexed words. If the system determines an exact answer, the system may output the answer to the querying user. If the system is unable to determine an exact answer, the system may navigate through a ontology of relationships within a knowledge base to determine an answer that is related to the user question but that may not directly answer the user question.

Question answering for a multi-modal system

Growing community of inventors

San Francisco, CA, United States of America

Christopher E Balmes