Adobe Systems Inc.

Google Inc.

View, Inc.

Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Apple Inc.

Adobe, Inc.

University of California

University of Illinois

Ginkgo Bioworks, Inc.

Hewlett Packard Enterprise Development LP

Beijing Kuangshi Technology Co., Ltd.

View Operating Corporation

Megvii (beijing) Technology Co., Ltd.

Jue Wang

Sunghyun Cho

Jen-Chan Jeff Chien

Elya Shechtman

Xue Bai

Seungyong Lee

Stephen Clark Brown

Michael F Cohen

David P Simons

Jason David Zedlitz

Dong Feng

Dhairya Shrivastava

Hailin Jin

Aseem Agarwala

Nitesh Trikha

Hyunjoon Lee

Anurag Gupta

Trevor Frank

Rao P Mulpuri

Jayakrishnan Kumar Eledath

Alexander Rumer

Dennis Mullins

Kevin Kazuo Kaneshiro

Nayana Vasant Ghantiwala

Petko Tsonev

Timothy Scott Hibbard

Christopher La Fontaine Whittall

Jonathan Ambat Corpuz

Jianchao Yang

Oliver Wang

Ying-Qing Xu

Sarah Kong

Zachary Z Becker

Yi Cao

Scott Gasch

Zhe Lin

Heung-Yeung Shum

Jerzy S Guterman

Lubomir D Bourdev

Nishitkumar Ashokkumar Desai

Connor Spencer Blue Worley

Daniel M Wilk

Madhu Madhava Kurup

Behjat Siddiquie

Hue Tuan Thi

Wei-Ying Ma

Kalyan Krishna Sunkavalli

Michael E Jung

Zhiwei Li

Mingjing Li

Andrew Christopher Walton

Nagichettiar Satyamurthy

Tian Shi Li

Michelle Chua

Jennifer Marie Murphy

Thomas Park

Robin-Yann Joram Storm

Arnon Lavie

Caius G Radu

Tian Lan

Yuyang Ying

Haibin Huang

Karen Natalie Wong

David A Nathanson

Jared Scott Lundell

Samuel Nathan Hallman

Wei Shao

Eugene Antony Whang

Dongmei Zhang

Jared Mitchell Kole

Edward Siahaan

Yingnong Dang

Bo Thiesson

Sylvain Philippe Paris

Benjamin A Cousins

Aaron Mackay Burns

Daniel Ray Bloom

Kai Chen

Shmuel Avidan

Aliakbar Darabi

Ketan Tang

Chintan Intwala

Junaid Ahmed

Tao Xie

Amir Nahir

Feng Liu

I-Ming Pao

Alan Lee Erickson

Arun Rakesh Yoganandan

Simon Chen

Benjamin R Blachnitzky

David Adam Lipton

Arnold Overwijk

Eric Gregory Thivierge

Jarrett B Lagler

Aditya Dayal

Michael Lee Gleicher

Ziliu Li

Joel C Yamasaki

Toni Ristoski

This disclosure describes, in part, techniques for retrieving images based on detecting events. For instance, system(s) may detect an event, such as an event associated with a collection of images for an item. Based on detecting the event, the system(s) may determine an area within a facility, such as an inventory location, for retrieving image data. The system(s) may then determine one or more imaging devices that have field(s) of view of the area. Additionally, the system(s) may score the imaging device(s) based on visibility data associated with the imaging device(s). The system(s) may also determine occlusion data for image data generated by the imaging device(s). Using the scores and the occlusion data, the system(s) may then select image data that represents the area. The system(s) may then store the image data in one or more data stores, such as with the collection of images.

Techniques for generating collection of images

A method is performed at an electronic device with a non-transitory memory, one or more processors, and a display. The method includes obtaining positional information regarding an auxiliary device. The method includes determining an anchor point of the auxiliary device on a volumetric computer-generated object. Determining the anchor point includes setting the anchor point to a first position of the auxiliary device in accordance with a determination that dimensions of the volumetric computer-generated satisfy a first criterion. Determining the anchor point further includes setting the anchor point to a second position of the auxiliary device in accordance with a determination that the dimensions of the volumetric computer-generated object satisfy a second criterion different from the first criterion. The first position is different from the second position. The method includes anchoring, based on the positional information, the volumetric computer-generated object to the anchor point of the auxiliary device.

Anchoring to multiple positions of an auxiliary device

An electronic device may include one or more radios and one or more antennas. Radio-frequency transmission lines may couple a radio to an antenna feed structure. The antenna feed structure may be wireless coupled to one or more antenna resonating elements. An intervening slot element may be disposed between the antenna feed structure and the one or more antenna resonating elements. The antenna feed structure may be disposed on a package substrate forming an integrated circuit package. The one or more antenna resonating elements may be disposed on an antenna support structure. The integrated circuit package and the antenna support structure may be mounted to the same side or opposing sides of a system substrate.

Antenna feed structure

Methods, systems, and media for synchronizing video streams are provided. In some embodiments, the method comprises: identifying a target video stream and a reference video stream, wherein the target video stream and the reference video stream are two different broadcasts of a program; generating, for the target video stream, a sequence of fingerprints; determining a time shift at which the sequence of fingerprints appears within the reference video stream; determining whether the target video stream is synchronized with the reference video stream by determining whether the time shift exceeds a predetermined threshold; and, in response to determining that the target video stream is not synchronized with the reference video stream, causing an electronic programming guide that includes an indication of the target video stream to be modified based on the time shift.

Methods, systems, and media for synchronizing video streams

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for scheduling tasks of ML workloads. A system receives requests to perform the workloads and determines, based on the requests, resource requirements to perform the workloads. The system includes multiple hosts and each host includes multiple accelerators. The system determines a quantity of hosts assigned to execute tasks of the workload based on the resource requirement and the accelerators for each host. For each host in the quantity of hosts, the system generates a task specification based on a memory access topology of the host. The specification specifies the task to be executed at the host using resources of the host that include the multiple accelerators. The system provides the task specifications to the hosts and performs the workloads when each host executes assigned tasks specified in the task specifications for the host.

Task scheduling for machine-learning workloads

The disclosed technology provides techniques, systems, and apparatus for proactively detecting, containing, and recovering from uncorrectable memory errors in distributed computing environment. An aspect of the disclosed technology includes scanning, by a scanner of a host machine, memory of the host machine for errors. After the scanner detects an error, the scanner may generate an error notification. The scanner may transmit the error notification to one or more processors of the host machine to implement mitigation techniques.

Memory error prevention by proactive memory poison recovery

Control aid housing

Provided herein are enzymes (e.g., cucurbitadienol synthases (CDS), UDP-glycosyltransferases (UGT), C11 hydroxylases, epoxide hydrolases (EPH), squalene epoxidases, and/or cytochrome P450 reductases), host cells expressing the enzymes, and methods of producing mogrol precursors, mogrol, and/or mogrosides using such host cells.

Biosynthesis of mogrosides

This disclosure describes techniques for updating planogram data associated with a facility. The planogram may indicate, for different shelves and other inventory locations within the facility, which items are on which shelves. For example, the planogram data may indicate that a particular item is located on a particular shelf. Therefore, when a system identifies that a user has taken an item from that shelf, the system may update a virtual cart of that user to indicate addition of the particular item. In some instances, however, a new item may be stocked on the example shelf instead of a previous item. The techniques described herein may use sensor data generated in the facility to identify this change and update the planogram data to indicate an association between the shelf and the new item.

Inferring facility planograms

Methods, systems, and apparatus, including computer-readable storage media for uncorrectable memory recovery. Different sources of uncorrectable memory error are handled to provide for recovery actions by a host kernel of a machine hosting one or more virtual machines. Rather than defaulting to kernel panic behavior, the host kernel can identify the source of uncorrectable error, and cause the host machine and/or the affected virtual machines to take recovery action that is less disruptive than abrupt shutdown from panic. For example, the host kernel can handle uncorrectable memory error caused by kernel accesses to guest memory of a host virtual machine, as well as uncorrectable memory error improperly raised as a result of known defects in host machine hardware. The host kernel can also be configured to detect sources of overflow in exceptions raised by a processor as a result of uncorrectable memory error.

Uncorrectable memory error recovery for virtual machine hosts

A computer-generated virtual object manipulator having one or more affordances for manipulating a computer-generated virtual object is disclosed. Selection of a virtual object can cause an object manipulator to be displayed over the virtual object. The object manipulator can include a cone-shaped single-axis translation affordance for each of one or more object axes, a disc-shaped single-axis scale affordance for each of the one or more object axes, an arc-shaped rotation affordance for rotation about each of the one or more object axes, and a center of object affordance for free space movement of the virtual object. The object manipulator can also include a slice-shaped two-axis translation affordance that can be displayed after hovering over an area in a particular plane.

Techniques for manipulating computer graphical objects

A system and method for balancing data storage among a plurality of groups of computing devices, each group comprising one or more respective computing devices, each group having an available storage capacity. The method may involve, for each group of computing devices, determining an amount of used storage at the group of computing devices exceeding a predefined first threshold value that is less than the available storage capacity and calculating a storage cost based on the determined amount of used storage exceeding the predefined first threshold value, determining a total storage cost of the plurality of groups of computing devices based on a sum of the calculated storage costs, determining a transfer of one or more projects between the groups of computing devices that reduces the total storage and directing the plurality of groups of computing devices to execute the determined transfer.

Memory error recovery using write instruction signaling

Various implementations relate generally to multi-sensor devices. Some implementations more particularly relate to a multi-sensor device including a ring of radially-oriented photosensors. Some implementations more particularly relate to a multi-sensor device that is orientation-independent with respect to a central axis of the ring. Some implementations of the multi-sensor devices described herein further include one or more additional sensors. For example, some implementations include an axially-directed photosensor. Some implementations also can include one or more temperature sensors configured to sense an exterior temperature, for example, an ambient temperature of an outdoors environment around the multi-sensor. Additionally or alternatively, some implementations include one or more of an infrared sensor or infrared sensors, a cellular communication circuit, and a GPS module.

Multi-sensor for sensing radiation from multiple directions

Described herein are chimeric terpene synthases, methods for making chimeric terpene synthases, and methods for making terpenes using the same.

Chimeric terpene synthases

A charging case for a pair of wireless earphones comprising: a housing having a peripheral wall that defines a shell; a frame insert coupled to the housing and extending into the shell, the frame insert having one or more insert walls that define first and second pockets sized and shaped to accept first and second wireless earphones, respectively, wherein the one or more insert walls cooperate with the housing primary wall to define a sealed chamber within the charging case; a lid coupled to the housing and operable between a closed position in which the lid covers the first and second pockets and an open position in which the first and second pockets are exposed; a speaker module disposed within the sealed chamber, the speaker module comprising an audio driver having a diaphragm that separates a front volume of the audio driver from a back volume of the audio driver and a speaker vent disposed within the back volume; one or more first openings formed through the peripheral wall and opening into the front volume, wherein the audio driver is positioned and aligned to emit sound into the front volume and through the one or more acoustic openings; and one or more second openings formed through the peripheral wall at a location spaced apart from the front volume, wherein at least one of the one or more second openings is an acoustic vent acoustically coupled to the back volume of the audio driver through the speaker vent ear tip.

Charging case for portable wireless listening device

Growing community of inventors

Kenmore, WA, United States of America

Jue Wang