Google Inc.

Panasas, Inc.

Deepmind Technologies Limited

Daniel Belov

Matthew E Kulick

Jordan M Breckenridge

David Konerding

Maureen Heymans

Adam D Bursey

David Yen

Aaron Gerard Antonius Van Den Oord

Nal Emmerich Kalchbrenner

Joao Ferdinando Gomes De Freitas

Scott Ellison Reed

Ziyu Wang

Sergio Gomez Colmenarejo

Andre Rohe

Yonatan Zunger

Sangsoo Sung

Umesh Shankar

Lucian Florin Cionca

Jinan Lou

Garth Gibson

Ben Zion Halevy

Harish Rajamani

Jason Kenneth Small

Mohit Oberoi

Daniel Hottinger

Yaacov Ben-Israel

Implementations of the present disclosure include actions of receiving a search query, identifying potential search results responsive to the search query, the potential search results corresponding to digital content stored in one or more computer-readable storage media, determining that the potential search results include user-generated content that is generated using one or more computer-implemented social services, receiving data associated with the user-generated content, the data including one or more scores, determining, based on the one or more scores, that the user-generated content is to be provided as a search result, generating search results, the search results including web-based search results and at least a portion of the user-generated content, and transmitting the search results to a client computing device for display to the searching user.

Selective presentation of content types and sources in search

A method of generating an output image having an output resolution of N pixels&#xd7;N pixels, each pixel in the output image having a respective color value for each of a plurality of color channels, the method comprising: obtaining a low-resolution version of the output image; and upscaling the low-resolution version of the output image to generate the output image having the output resolution by repeatedly performing the following operations: obtaining a current version of the output image having a current K&#xd7;K resolution; and processing the current version of the output image using a set of convolutional neural networks that are specific to the current resolution to generate an updated version of the output image having a 2K&#xd7;2K resolution.

Iterative multiscale image generation using neural networks

A global-level manager access a work order from a client and parameters associated with the work order. A service level agreement to meet the work order parameters is determined. The service level agreement includes a price. An indication is received from the client that the service level agreement is accepted. The one or more input files are partitioned into multiple shards, and the work order into multiple jobs. The jobs are distributed among a plurality of clusters to be processed using underutilized computing resources in the clusters. The job outputs are combined to form the work order output. The jobs are monitored to insure that the deadline for completion of the work order will be met.

Opportunistic job processing of input data divided into partitions and distributed amongst task level managers via a peer-to-peer mechanism supplied by a cluster cache

In a distributed object-based storage system that includes a plurality of object storage devices and one or more clients that access distributed, object-based files from the object storage devices, each of the files being comprised of a plurality of object components residing on different object storage device, systems and methods that use pointers stored as object attributes for file analysis and monitoring.

Distributed object-based storage system that uses pointers stored as object attributes for object analysis and monitoring

Opportunistic job processing of input data divided into partitions of different sizes

In one aspect, a method includes receiving an indication of a request from a user to view a stream associated with the user, generating a request for one or more items visible to the user for display within the stream, the request including a search query identifying search criteria including one or more tokens, the one or more tokens including at least a user token identifying the user, receiving one or more items in response to the request, the one or more items including at least one of the one or more tokens and further being visible to the user and providing the one or more items for display to the user within the stream in response to the request. Other aspects can be embodied in corresponding systems and apparatus, including computer program products.

Query-based stream

Opportunistic job Processing of input data divided into partitions of different sizes

A global-level manager accesses a work order referencing at least one executable file and one or more input files. The one or more input files are partitioned into multiple shards. The work order is partitioned into multiple jobs. The jobs are distributed among a plurality of to be processed by a task level manager at each of the plurality of clusters. The executable file is loaded into the native client environment through a validator. The validator is configured to insure that the executable file does not include one or more of a defined set of instructions, does not call instructions outside of the executable file, and does not read or write data outside of a data region associated with the executable file.

Opportunistic job processing in distributed computing resources with an instantiated native client environment with limited read/write access

Techniques include: identifying a first group that has a specified number of entities or more; associating a first group restrict with the first group, where a group restrict comprises data associated with two or more members of a group; assigning the first group restrict to one or more items of content in a search index that the members of the group can access; identifying a second group associated with a second group restrict, where the second group has fewer than the specified number of entities; and assigning searcher restricts for entities in the second group to one or more items of content in the search index, where the searcher restricts include data associated with a searcher.

Access controls in a search index

A global-level manager receives a work order referencing at least one executable file and one or more input files. The one or more input files include multiple input resources. A first type of input resource is identified in the one or more input files and a second type of input resource in the one or more input files. The first type of input resource is split into a plurality of first-type input shards. The second type of input resource is split into a plurality of second-type input shards. The plurality of second-type input shards are associated with each of the first-type input shards. For each of the first-type input shards, the global-level manager distributes the first-type input shards, the associated second-type input shards, and the executable file to a single.

Opportunistic job processing

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San Francisco, CA, United States of America

Daniel Belov