Samsung Electronics Co., Ltd.

Sajid Hassan Sadi

Pranav K Mistry

Cody Blair Wortham

Sergio Perdices-Gonzalez

Jawahar Jain

James Young

Curtis D Aumiller

Ernest Rehmatulla Post

Cathy Kim

Ayesha Mudassir Khwaja

Iliya Tsekov

Olivier Bau

Santiago Ortega Avila

Vatche A Attarian

Mike Digman

Lining Yao

Link Chun Huang

Ernest Rehmi Post

Rahul Budhiraja

John Snavely

Chengyuan Wei

Sergi Consul

Brian Dongwoo Lee

Brian Thomas Harms

Ian David Parker

Kushal Kardam Vyas

Ye Zhao

Thomas Brenner

Mohammad J Abu Saude

Ruokan He

Abhijit Z Bendale

Brian R Patton

Marc Estruch Tena

Jihee Kim

Kathleen Sofia Hajash

Eva-Maria Offenberg

Ondrej Texler

Hyun Jae Kang

Anthony Sylvain Jean-Yves Liot

Michael Noh

Jiawei Zhang

Changgeng Liu

Anthony S Liot

Steven George Manuel

Fannie Fontanel

Anil Unnikrishnan

Bogdana Rakova

Hanna Fuhrmann

Jason Yeh

Pedro Martinez Lopez

Forrest G Tran

Dimitar Petkov Dinev

Siddarth Ravichandran

Jacob A Marks

Janvi Chetan Palan

Michael S Brown

Kangjin Yoon

Yangwook Kim

Simon J Gibbs

Minyoung Lee

Nigel A Clarke

Ranhee Chung

Jun Yeon Cho

Sungchan Kim

Bola Esther Yoo

Abdelrahman Abdelhamed

Paul Kim

Dean N Reading

Abhijith Punnappurath

Jeannie Kang

Catherine S Kim

Cheoljun Lee

Hanjin Park

William Augustus Workman

Hansung Lee

Tara Sriram

Imran Mohammed

Junyeon Cho

Yedan Qian

Selene A Mota Toledo

Robert Wang

Luxi Zhao

Megan Rowe

Jose Marcel Santos

Praveen Jayakumar

Ankur Gupta

Sangwoo Han

Gustavo A Guayaquil Sosa

Sandipan Banerjee

Jack Thrun

Yenah Lee

Juan Pablo Forero Cortes

Siddharth

Soichan Nget

Ik Seon Kang

Younseong Kim

Mustafa Ismail

Haiyue Yu

Santiago Ortega-Avila

Pedro Martinez-Lopez

In one embodiment, a method includes generating, from an accessed image, one or more image patches, and for each image patch: (1) accessing a set of point-spread functions (PSFs), wherein each PSF in the set of PSFs corresponds to one of a plurality of points in the image patch; (2) generating a set of deconvolved image patches by deconvolving the image patch with each PSF from the set of PSFs for that patch; (3) determining, for each of one or more portions of the image patch, a set of weights, wherein each weight in the set of weights is associated with one of the deconvolved image patches; and (4) generating a restored image patch by interpolating the set of deconvolved image patches based on the set of weights.

Restoring images using deconvolution

Computer-implemented content delivery includes caching a source content having a plurality of bridge points. A user event indicating an interaction with a user is received. The user event is received during playback of the source content. In response to the user event, a template is selected from a plurality of cached templates. The template corresponds to a bridge point selected from the plurality of bridge points of the source content as an exit point from the source content. In response to the user event, a bridge is dynamically generated. The bridge links the bridge point with the template. In response to the user event, a target content is selected from a plurality of cached target contents. In response to the user event, the bridge, the template, and the target content is conveyed to a device of the user for playback following the bridge point of the source content.

Cache-based content distribution network

In one embodiment, a method includes displaying functions associated with a remote device at a wearable computing device, wherein the remote device is paired with the wearable computing device, receiving a user input from a user at the wearable computing device, determining intended operations of one or more of the functions by the user based on the user input, sending instructions for executing the intended operations of the one or more of the functions associated with the remote device to the remote device, and displaying execution results of the intended operations of the one or more of the functions associated with the remote device at the wearable computing device.

Controlling remote electronic device with wearable electronic device

A method by an electromagnetic device includes determining a pattern of electromagnetic energy absorbed by a load disposed inside a cavity into which electromagnetic radiation is directed and generating one or more maps of the pattern of electromagnetic energy absorbed by the load. The one or more maps comprises an indication of a distribution of heating within the load. The method further includes determining, based on the one or more maps, a plurality of sequences of operating parameter combinations configured so as to heat the load via absorption of the electromagnetic radiation in accordance with a target temperature profile with respect to the load. The method thus includes emitting electromagnetic radiation into the cavity based on the plurality of sequences of operating parameter combinations to achieve the target temperature profile with respect to the load.

Systems and methods for temperature profile control of microwave oven devices

In one embodiment, a method includes, by an electromagnetic device, accessing multiple previously recorded heating maps corresponding to a load disposed inside a cavity, where each heating map indicates a temperature profile change of the load as a function of one or more control parameter configurations, accessing a target temperature profile of the load, measuring a current temperature profile of the load, calculating a difference in temperature profiles between the current temperature profile of the load and the target temperature profile of the load, determining a first sequence of control parameter configurations to heat the load, wherein the first sequence is optimized to yield a temperature rise that achieves the target temperature profile of the load, emitting electromagnetic radiation into the cavity based on the first sequence of control parameter configurations.

Systems and methods for achieving a user-specified temperature profile in a cooking appliance through heating control algorithms

In one embodiment, a method includes accessing an initial image and applying each image filter from a set of one or more N image filters to the initial image to create N filtered images. The method further includes generating a similarity metric for each pair of images in a set of images comprising the initial image and the N filtered images and determining, based on the similarity metrics, a placement of each image in the set of images within an image-filter space. The method further includes generating, based on the image-filter space, a selectable image-filter interface; and providing the selectable image-filter interface for display, wherein each selectable region of the selectable image-filter interface is associated with a particular filtering of the initial image.

Image-filtering interface

Creating images and animations of lip motion from mouth shape data includes providing, as one or more input features to a neural network model, a vector of a plurality of coefficients. Each vector of the plurality of coefficients corresponds to a different mouth shape. Using the neural network model, a data structure output specifying a visual representation of a mouth including lips having a shape corresponding to the vector is generated.

Creating images, meshes, and talking animations from mouth shape data

A manipulator and a method for controlling the manipulator are disclosed. The manipulator includes: a plurality of links respectively corresponding to a user's upper arm, fore arm, and hand, a plurality of motors rotating the plurality of links, a communication interface comprising communication circuitry, a memory storing at least one instruction, and a processor configured to execute the at least one instruction, wherein the processor is configured to: based on first rotation angle information for motors corresponding to the upper arm and the fore arm among the plurality of motors, obtain information for a body frame of a link corresponding to the fore arm, obtain equilibrium angle information that positions the body frame in equilibrium with a specified reference frame, based on receiving a sensing value indicating the posture of the hand from an external sensor through the communication interface, obtain second rotation angle information for motors corresponding to the hand among the plurality of motors based on the sensing value and the equilibrium angle information, and control the motors corresponding to the hand based on the second rotation angle information.

Manipulator and method for controlling thereof

Image de-skewing can include acquiring pixel coordinates of an image captured by a camera adjoining an electronic display device. The pixel coordinates can be mapped to de-skewing coordinates using a predetermined de-skewing transformer that maps the pixel coordinates to de-skewing coordinates. A de-skewed image can be generated based on the de-skewing coordinates such that the de-skewed image is perpendicular to a principal axis extending from a predetermined location of an apparent camera on the electronic display device.

Perspective de-skewing of electronic images

In one embodiment, a method includes accessing an input image associated with an initial illumination, extracting from the input image at least a first, a second, and a third mono-channel images based on a first, a second, a third image channel, respectively, determining a first, a second, and a third correction for the first, second, and third mono-channel images with a first, a second, and a third correction algorithm, respectively, generating a first, a second, and a third corrected mono-channel image by applying the first, second, and third correction to the first, second, and third mono-channel image, respectively, and generating an output corrected image corresponding to the input image based on the first, second, and third mono-channel corrected images, wherein the output corrected image is associated with a corrected illumination with respect to the initial illumination.

Systems and methods for lightweight machine learning for image illumination control

Image generation using a hierarchical, model-based system includes generating a first region of an image using a first neural network model. The first region of the image is provided to a second neural network model as input. A second region of the image is generated using the second neural network model. The second region of the image shares a boundary with at least a portion of the first region of the image.

Hierarchical model-based generation of images

Radar-based sensing includes, at an electronic device that includes one or more radar-based transmitters and one or more radar-based receivers, transmitting, from one or more of the radar-based transmitters, radio waves into an area in a vicinity of the electronic device and receiving, at one or more of the radar-based receivers, radio waves reflected off one or more objects in the vicinity of the electronic device. The radio waves, as reflected off the one or more objects, can be processed using a radar imaging module.

Radar-based system for sensing touch and in-the-air interactions

In one embodiment, a method includes, by an electromagnetic device, emitting optical radiation on one or more objects disposed inside an interior of the electronic device, where the optical radiation is emitted by one or more radiation sources, capturing a set of 2D images of the one or more objects illuminated by the optical radiation, where variation of illumination or of an imaging process permits the set of 2D images to be combined into a representation of the one or more objects, determining whether the set of images comprises a representation of the one or more objects as imaged, in response to determining that the set of images comprises a representation of the one or more objects as imaged, generating a three-dimensional (3D) spectral data cube of the one or more first objects based on spectral information of the first set of images, and storing the 3D spectral data cube for processing by the electronic device.

Employing controlled illumination for hyperspectral or multispectral imaging of food in an appliance

An apparatus for a robotic limb includes one or more limb segments connected via one or more joints. The robotic limb may feature one or more dual-reduction quasi-quasi-direct-drive joint actuators that permit the robotic limb to move throughout a scene. The robotic limb may further include an end-effector connected to a free end of the robotic limb with one or more opposable fingers comprising a four bar linkage. The end-effector may include a main actuator that actuates the one or more fingers via the four-bar linkages to complete various tasks.

Robotic limb

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

Growing community of inventors

San Jose, CA, United States of America

Sajid Hassan Sadi