Google Inc.

Nvidia Corporation

Michael Alex Frumkin

Benedict A Gomes

Bay-Wei W Chang

Christopher Rohrs

Alok Kumar

Marc Berndl

Kushal Dave

Philip Charles Nelson

Shashi Seth

Paul Fontes

Khanh B Nguyen

Karthik Gopalratnam

Gregory J Friedman

Ralph U Gasser

Xiangtian Dai

Eric Martin Christiansen

Avni Stocky

Shumeet Baluja

Aspi Siganporia

Sushant Jain

Avni Shah

Rajesh Krishnaswamy

Myles A Sussman

Jeffrey Michael Pool

P Pandurang Nayak

Jonathan Zolla

Jorge Albericio Latorre

Edward A Baltz

Rui Zhang-Shen

Matthew Jonathan Holliman

Uday Ramakrishma Naik

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.

Processing cell images using neural networks

A method of presenting computer-generated search result information can include receiving a search request from a client computer; identifying a plurality of search results responsive to the search request; ranking the plurality of search results using content in one or more web notebooks; and providing the ranked plurality of search results for presentation in the client computer. Using the content can include determining whether at least one of a title, a heading, clipped content, metadata or a user-annotation in at least one web notebook relates to the search request and, if so, increasing a ranking of at least one search result referenced by the at least one web notebook.

Presenting search result information

Many computing systems process data organized in a matrix format. For example, artificial neural networks perform numerous computations on data organized into matrices using conventional matrix arithmetic operations. One such operation is the transpose operation. Techniques are introduced for storing a matrix in a compressed format that allows, for example, a transpose operation to be performed during decompression. Thus, by utilizing the introduced techniques, transformations of compressed matrices such transposition can be achieved in a more effective way. Parallel processing may also be used to more efficiently compress and/or decompress.

Efficient matrix format suitable for neural networks

Advertisement quality measures (e.g., predicted click through rates) are modified in accordance with a user's preferences with respect to domains to which the advertisements relate.

User-based ad ranking

A system and method is provided for identifying network links for augmentation based on potential link failures. In one aspect, the links are selected by identifying multiple shortest paths between a node pair and generating augmentation recommendations for a single link by accumulating recommendations based on multiple node pairs.

Network link capacity determination

A traffic engineering process seeks to optimize network utilization and creating paths in the network such that the network is used efficiently. The exemplary embodiments seek to maintain fairness across allocation of flows while honoring constraints on the number of paths used per flow and the granularity of splits allowed. Exemplary embodiments provide a solution in a speedy manner and get close to optimal solutions for allocation of the network traffic.

Traffic engineering for network usage optimization

A system receives a search query from a user and searches a corpus of documents using the received search query to determine a set of search results. The system provides the set of search results to the user and receives a request from the user to save one or more selected search results of the set of search results. The system saves the selected one or more results in a database in response to the request and uses the saved one or more results as indicators of search result quality for subsequent related searches.

Sharing and using search results

Growing community of inventors

Santa Clara, CA, United States of America

Michael Alex Frumkin