Google Inc.

Dupont Electronic Materials International, LLC

Cymabay Therapeutics, Inc.

Ke Yang

John Ogden Lamping

Paul Haahr

Daniel Trawick Egnor

Amitabh Singhal

Kai Chen

James F Cameron

Daisuke Ikeda

Kevin David Lacker

Neha Arora

Yu Liang

Qingzhou Wang

Zuguang Yang

James W Thackeray

Mingqi Li

Steven D Baker

Emad Aqad

Trystan G Upstill

Shintaro Yamada

Maureen Heymans

Irvinder Kaur

Li Cui

Dimitra Papachristou

Yun-Jung Choi

Keren Zhang

Joshua A Kaitz

Zachary A Garrett

Choong-Bong Lee

Evan M Martin

Charlotte Cutler

Yong Lei

Kevin Lackner

Brandon Wenning

Dan B Millward

Charles A Mcwherter

A photoresist underlayer composition comprising a poly(arylene ether); an additive of formula (14):D-(L-Ar—[X])  (14); anda solvent, wherein, in formula (14), D is a substituted or unsubstituted Corganic group, optionally wherein D is an organic acid salt of the substituted or unsubstituted Corganic group; each Lis independently a single bond or a divalent linking group, when Lis a single bond, D may be a substituted or unsubstituted Ccycloalkyl or substituted or unsubstituted Cheterocycloalkyl that is optionally fused with Ar, each Ar is independently a monocyclic or polycyclic Caromatic group, each X is independently —OR, —SR, or —NRR, m is an integer of 1 to 6, each n is independently an integer of 0 to 5, provided that a sum of all n is 2 or greater, and Rto Rare as provided herein.

Adhesion promoting photoresist underlayer composition

A polymer, comprising a first repeating unit derived from a first monomer comprising a single ester acetal group, and a second repeating unit derived from a second monomer comprising a plurality of ester acetal groups.

Photoresist compositions and pattern formation methods

A photoresist composition comprising: a first polymer comprising a first repeating unit comprising a hydroxy-aryl group and a second repeating unit comprising an acid-labile group; a second polymer comprising a first repeating unit comprising an acid-labile group, a second repeating unit comprising a lactone group, and a third repeating unit comprising a base-soluble group, wherein the base-soluble group has a pKa of less than or equal to 12, and wherein the base-soluble group does not comprise a hydroxy-substituted aryl group; a photoacid generator; and a solvent, wherein the first polymer and the second polymer are different from each other.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enforcing the category diversity or sub-category diversity of POIs that are identified in response to a local search. According to one implementation, a method includes receiving a request to identify points of interest (POIs), obtaining data identifying (i) candidate points of interest (POIs) that satisfy the request, (ii) a respective category associated with each candidate POI, and (iii) a non-scaled score associated with each candidate POI, and ranking, for each of one or more of the categories, the candidate POIs associated with the category, based on the respective non-scaled scores. The method also includes scaling, for each of the one or more categories, the non-scaled scores of the ranked candidate POIs associated with the category, ranking the candidate POIs using the scaled scores, for the candidate POIs that are associated with the one or more categories, and the non-scaled scores, for the candidate POIs that are not associated with the one or more categories, and providing data that identifies two or more of the candidate POIs, as ranked according to the scaled scores and the non-scaled scores.

Enforcing category diversity

Systems and techniques for testing audio-video synchronization using one or more timestamps are presented. On a media sender end, a media stream with a video stream and an audio stream is generated. A matrix barcode timestamp is added onto a video frame of the video stream at a particular time. Furthermore, a tone timestamp is embedded into the audio stream at the particular time. Additionally, on a media receiver end, a modified media stream is received. For example, the video stream with the matrix barcode timestamp at the particular time and the audio stream with the tone timestamp at the particular time are received. The matrix barcode timestamp is decoded to determine a first time value and the tone timestamp is decoded to determine a second time value. The first time value is compared with the second time value to determine synchronization of the video stream and the audio stream.

Systems and methods for detecting audio-video synchronization using timestamps

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enforcing category diversity of points of interest (POIs). In one aspect, a method includes receiving a request to identify POIs, obtaining data identifying (i) POIs that satisfy the request, (ii) a category associated with each POI, and (iii) a non-scaled score associated with each POI, and ranking, for each category, the POIs based on the non-scaled scores. The method also includes scaling, for each of one or more categories, the non-scaled scores of the ranked POIs associated with the category, ranking the POIs using the scaled scores, for the POIs that are associated with the one or more categories, and the non-scaled scores, for the POIs that are not associated with the one or more categories, and providing data that identifies the POIs, as ranked according to the scaled and the non-scaled scores.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring concept terms using a deep network. One of the methods includes receiving an input comprising a plurality of features of a resource, wherein each feature is a value of a respective attribute of the resource; processing each of the features using a respective embedding function to generate one or more numeric values; processing the numeric values using one or more neural network layers to generate an alternative representation of the features, wherein processing the floating point values comprises applying one or more non-linear transformations to the floating point values; and processing the alternative representation of the input using a classifier to generate a respective category score for each category in a pre-determined set of categories, wherein each of the respective category scores measure a predicted likelihood that the resource belongs to the corresponding category.

Classifying resources using a deep network

One embodiment of the present invention provides a system that considers lexical synonyms for terms while processing a query. During operation, the system receives a query containing one or more terms. Next, the system identifies one or more lexical synonyms for the one or more terms. The system then generates an altered query using the one or more lexical synonyms and processes the altered query to produce search results.

Method and apparatus for generating lexical synonyms for query terms

Web pages of a Website may be processed to improve search results. For example, information likely to pertain to more than just the Web page it is directly associated with may be identified. One or more other, related, Web pages that such information is likely to pertain to is also identified. The identified information is associated with the identified other Web page(s) and this association is saved in a way to affect a search result score of the Web page(s).

Propagating information among web pages

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating substitute terms. One of the methods includes selecting a first term and a second term. A first co-occurrence frequency is determined for co-occurring terms in search queries that include the first term. A first vector is generated for the first term using the first co-occurrence frequencies. A second co-occurrence frequency is determined for the co-occurring terms in the search queries that include the first term adjacent to the second term. A second vector is generated for the second term using the second co-occurrence frequencies. A score for the second term as a context for a substitution rule based on the first term is computed, wherein the score is based on a comparison between the first vector and the second vector.

Evaluation of substitute terms

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating substitute terms. One of the methods includes selecting a first term and a candidate substitute term for the first term. A first vector is generated for the first term using co-occurrence frequencies of terms that occur in search queries that include the first term. A second vector is generated for the candidate substitute term using co-occurrence frequencies of terms that occur in search queries that include the candidate substitute term. The first vector and the second vector are compared to score an association between the first term and the candidate substitute term.

Propagating useful information among related web pages, such as web pages of a website

Growing community of inventors

Cupertino, CA, United States of America

Ke Yang