Facebook, Inc.

X Development LLC

Oath Inc.

Yahoo! Inc.

Excalibur Ip, LLC

Yahoo Assets LLC

Iyo Inc.

Benoit M Schillings

David Harry Garcia

Michael John McKenzie Toksvig

Eran Tal

Bin Ni

Elliott Grant

Martin F Schubert

Raj B Apte

Michael Jason Grundmann

Matthew A Bitterman

William Raymond Regan

David R Brown

Brian John Adolf

Matthew Dixon Eisaman

Yale Song

Jian Zhou

Jonathan M Kaldor

Jordi Vallmitjana

Dominico P Julian

Adam Bryan Mathes

Jonathan Paris

Arunkumar Balasubramanian

Kirk Lieb

Rick Hawes

Vahe Oughourlian

Jennelle Nystrom

Hardik Ruparel

Matt Edelman

Feng Qian

Cyrus Behroozi

Michael Kerby Chen

Gueorgui Nikolov Djabarov

Jason Rugolo

Yuhuan Tang

Michael Chang-Chen

Leili Baghaei Rad

Stephen Lee Hodnicki

Zhiqiang Yuan

Allen Richard Zhao

Daryl M Low

Ling Zhu

Georgios Evangelopoulos

Jean-Baptiste Maurice Queru

Sergey Yaroshenko

Andreas Rossbacher

Ric Allinson

Michael Chen

George Djabarov

Hongxiao Liu

Anupama Thubagere Jagadeesh

Christopher Van Arsdale

Roberto Ortiz

John J Thrall

Matt VanCleave

Jerome Nowak

Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically analyze a live streaming media file, and identify portions of the media that are highlights. The content classified as a highlight can be shared across social media platforms, and indexed for searching respective to attributes of the video content. The streaming and highlight media content is renderable in a novel, modified video player that enables variable playback speeds for how content is classified, and enables on-demand selections of specific content portions and adjustable rendering displays during streaming.

Computerized system and method for automatic highlight detection from live streaming media and rendering within a specialized media player

An apparatus includes a precursor dispenser for dispensing a precursor material into a workspace, one or more acoustic sources configured to direct acoustic waves towards the workspace to provide acoustic fields that arrange the precursor material in a three-dimensional shape in the workspace, one or more sensors configured to detect a distribution of the precursor material in the workspace, and an electronic controller in communication with the precursor dispenser, the one or more acoustic sources, and the one or more sensors, the electronic controller being programmed to cause the one or more acoustic sources to adjust the acoustic fields to reduce deviations in the distribution of the precursor material from the three-dimensional shape in the workspace.

Sensing and feedback for the formation of complex three-dimensional acoustic fields

A system, including an optical imaging assembly configured to image a sample at an object plane to an image plane; an image sensor arranged at the image plane and configured to capture images of the sample for a field of view of the system; a light source configured to emit light having a wavelength, &#x3bb;; a spatial light modulator (SLM) arranged to receive the light emitted from the light source and to provide a spatially modulated light pattern; one or more optical elements arranged to receive the spatially modulated light pattern from the SLM and to direct the spatially modulated light pattern to the image plane; and an electronic controller in communication with the image sensor and the spatial light modulator, the electronic controller being programmed to identify one or more targets in the field of view of the optical imaging assembly and to control the spatial light modulator to selectively direct light from the light source to the one or more targets identified by the electronic controller.

System for imaging and selective illumination of targets within a sample

A system and method for automated lens adjustment for hyperspectral imaging is described. The system includes an image sensor and an electrically-controllable element arranged to set a spectral band for image capture by (i) selectively providing light for a selected spectral band or (ii) selectively filtering light to a selected spectral band. The system includes a tunable lens that is adjustable to change a focal length of the lens; and one or more data storage devices storing data that indicates different focus adjustment parameters corresponding to different spectral bands. The system includes a control system configured to perform operations including: selecting a spectral band; controlling the electrically-controllable element to set the spectral band for image capture; retrieving the focus adjustment parameter that corresponds to the spectral band; adjusting the lens based on the retrieved focus adjustment parameter; and capturing an image of the subject while the lens remains adjusted.

Automated lens adjustment for hyperspectral imaging

In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract one or more phenotypic traits associated with the plant from the sensor data. Indexing the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.

Capture of ground truthed labels of plant traits method and system

Implementations are described herein for analyzing vision data depicting undesirable plants such as weeds to detect various attribute(s). The detected attribute(s) of a particular undesirable plant may then be used to select, from a plurality of available candidate remediation techniques, the most suitable remediation technique to eradicate or otherwise eliminate the undesirable plants.

Robotic agricultural remediation

One or more systems and/or methods for providing related content associated with a multi-touch gesture to a user are provided. A multi-touch gesture (e.g., a pinch-in gesture, a pinch-out gesture, etc.) may be received through a user interface of a client device (e.g., smartphone, tablet, television, virtual wall, etc.) associated with a user. The multi-touch gesture may be evaluated to identify an area of interest of the user interface (e.g., a portion of user interface containing content of interest to the user). The area of interest may be evaluated to identify context (e.g., keywords, phrases, associated content, etc.) associated with the area of interest. A search of content may be performed based upon the context to identify related content (e.g., news articles, wide-area network search results, local device search results, etc.) associated with the context. The related content may be provided to the user through the client device.

Multi-touch gesture search

An apparatus includes an acoustic source for directing an acoustic wave towards a workspace, a variable acoustic diffractive device positioned in a path of the acoustic wave between the acoustic source and the workspace, the variable acoustic diffractive device including an array of elements each having independently variable acoustic properties, and an electronic controller in communication with the acoustic source and the variable acoustic diffractive device, the electronic controller programmed to supply signals to cause the acoustic source to produce the acoustic wave and the variable acoustic diffractive device to diffract the acoustic wave from the acoustic source to provide non-uniform acoustic forces in a medium located in the workspace.

Dynamically reconfigurable acoustic diffractive device

An in-ear device includes a tympanic membrane measurement unit (TMMU) and an audio package configured to emit sound. The device is configured to measure a movement of a tympanic membrane in an ear using the TMMU caused by external sound received by the tympanic membrane, analyze at least the movement of the tympanic membrane measured by the TMMU using a predictive model trained by a machine learning technique to generate a waveform of cancellation sound that will destructively interfere with the external sound when received by the tympanic membrane, and output the cancellation sound from the audio package to destructively interfere with external sound received by the tympanic membrane.

Tympanic membrane measurement

Implementations are described herein for automatically identifying, recommending, and/or automatically effecting changes to a source code base based on updates previously made to other similar code bases. Intuitively, multiple prior 'migrations,' or mass updates, of complex software system code bases may be analyzed to identify changes that were made. More particularly, a particular portion or 'snippet' of source code&#x2014;which may include a whole source code file, a source code function, a portion of source code, or any other semantically-meaningful code unit&#x2014;may undergo a sequence of edits over time. Techniques described herein leverage this sequence of edits to predict a next edit of the source code snippet. These techniques have a wide variety of applications, including but not limited to automatically updating of source code, source code completion, recommending changes to source code, etc.

Automated identification of code changes

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for changing a distributed mode loudspeaker's fundamental frequency. One of the systems may include a light emitting diode display that includes an array of pixels, each pixel including, for each color of multiple colors, a directional light emitter and a wide-angle light emitter, a first combination of all the directional light emitters configured to generate a first display image viewable within a first viewing angle, and a second combination of all the wide-angle light emitters configured to generate a second display image concurrently with the generation of the first display image that is viewable within a second viewing angle. The first display image is a different image than the second display image and the first viewing angle is a narrower viewing angle than, and included within, the second viewing angle.

Directional light emitters and electronic displays featuring the same

One or more computing devices, systems, and/or methods for generating and/or presenting time-lapse videos and/or live-stream videos are provided. For example, a plurality of video frames may be extracted from a video. A first set of video frames and a second set of video frames may be identified from the plurality of video frames. The first set of video frames may be combined to generate a first time-lapse video frame and the second set of video frames may be combined to generate a second time-lapse video frame. A time-lapse video may be generated based upon the first time-lapse video frame and the second time-lapse video frame. In another example, a time-lapse video may be generated based upon a recorded video associated with a live-stream video. The time-lapse video may be presented. Responsive to a completion of the presenting the time-lapse video, the live-stream video may be presented.

Method and system for generating a time-lapse video

In embodiments, acquiring sensor data associated with a plant growing in a field, and analyzing the sensor data to extract, while in the field, one or more phenotypic traits associated with the plant from the sensor data. Indexing, while in the field, the one or more phenotypic traits to one or both of an identifier of the plant or a virtual representation of a part of the plant, and determining one or more plant insights based on the one or more phenotypic traits, wherein the one or more plant insights includes information about one or more of a health, a yield, a planting, a growth, a harvest, a management, a performance, and a state of the plant. One or more of the health, yield, planting, growth, harvest, management, performance, and the state of the plant are included in a plant insights report that is generated.

Growing community of inventors

Los Altos, CA, United States of America

Benoit M Schillings