Samsung Electronics Co., Ltd.

Ruokan He

Sajid Hassan Sadi

Pranav K Mistry

Brian Thomas Harms

Cathy Kim

Michael Noh

Sergio Perdices-Gonzalez

Link Chun Huang

Ranhee Chung

Anthony S Liot

Praveen Jayakumar

Jason Yeh

Curtis D Aumiller

Simon J Gibbs

Abhijit Z Bendale

Jiawei Zhang

James Young

Marc Estruch Tena

Jihee Kim

Ayesha Mudassir Khwaja

Bola Esther Yoo

Anil Unnikrishnan

Thomas Brenner

Rahul Budhiraja

Brian Dongwoo Lee

Cheoljun Lee

Sangwoo Han

Junyeon Cho

Yedan Qian

Robert Wang

Selene A Mota Toledo

Jack Thrun

Yingying Ren

Soichan Nget

Ik Seon Kang

Younseong Kim

Sergi Perdices-Gonzalez

Samara Ren

Brian Harms

Saji Sadi

Dru Nget

An apparatus and method for a wall clock AI voice assistant, such as a computing device, is provided herein. The wall-mountable electronic clock includes an optical sensor, a microphone, a digital display and a speaker. The optical sensor captures image data representing at least a portion of a user. The microphone receives an audio input from the user when certain criteria is met, such as when the image data representing at least a portion of the user is captured. The digital display provides visual information to the user provided in response to the captured image data or the audio input. The speaker provides audio information provides from a digital voice assistant in response to the captured image data or the audio input.

Wall clock AI voice assistant

In one embodiment, a method includes presenting to a user, on a display of a head-worn client computing device, a three-dimensional video including images of a real-life scene that is remote from the user's physical environment. The method also includes presenting to the user, on the display of the head-worn client computing device, a graphical object including an image of the user's physical environment or a virtual graphical object.

Presentation of three-dimensional video

In one embodiment, the system receives unlabeled data from one or more sensors. The one or more sensors are associated with a computing device of a user. The system clusters the unlabeled data into one or more unlabeled clusters. The system determines, based on one or more rules, at least one label for at least one unlabeled cluster of the one or more unlabeled clusters. The system expands, by a natural language processing algorithm, the at least one label for the at least one unlabeled cluster to produce one or more semantic terms associated with the at least one unlabeled cluster. The system generates, based on the one or more semantic terms, a personalized graph associated with one or more behavioral patterns of the user.

Methods and systems for interacting with mobile device

A system and method include maintaining, by a computing device, a modifiable list of one or more actions available for activation by a user of the computing device, at least some of the actions executable by at least some applications operable on the computing device. A common access interface of the computing device presents a set of one or more representations corresponding to each of the available actions. A determination is made, by the computing device, that the user has provided via the common access interface an input with respect to a particular representation corresponding to a particular available action. In response to the input, the computing device instructs a corresponding application to execute the particular available action.

Efficient access to frequently utilized actions on computing devices

In one embodiment, a computing system may access one or more frames of media content with each frame corresponding to at least part of an image. The computing system may automatically detect at least one object in at least one of the one or more frames. The computing system may automatically identify the at least one object. For each of the identified objects, the computing system may automatically determine an annotation corresponding to that object and each annotation may include one or more graphical elements. For each annotation, the computing system may automatically associate that annotation for display with its corresponding object.

Augmented reality

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Mountain View, CA, United States of America

Ruokan He