Google Inc.

Electronics for Imaging Gmbh

Printcafe Systems, Inc.

Philip Charles Nelson

Marc Berndl

Marc Adlai Coram

Michael Alex Frumkin

Eric Martin Christiansen

Patrick F Riley

Michelle Therese Hoerner Dimon

Brian Trippe

David P Marmaros

Kenneth Norton

Martin Christian Stumpe

Joseph M Ashear

Dale R Webster

Lily Hao Yi Peng

Ryan Poplin

Avinash Vaidyanathan Varadarajan

Yun Liu

Arunachalam Narayanaswamy

Katharine Blumer

Varun Gulshan

Derek Janme Wu

Pravin Kothari

Elizabeth A Cleary

Chad Owen Yoshikawa

Mark Edward Stahl

Anders Wallgren

George Benjamin Michael Van Den Driessche

Edward S Lau

John L Flight

Mark Stephen Goodman

Anders R Wallgren

Brett E Battles

Pravins S Kothari

Michael S Weston

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for obtaining data defining a sequence for an aptamer, the aptamer comprising a string of nucleobases; encoding the data defining the sequence for the aptamer as a neural network input; and processing the neural network input using a neural network to generate an output that characterizes how strongly the aptamer binds to a particular target molecule, wherein the neural network has been configured through training to receive the data defining the sequence and to process the data to generate predicted outputs that characterize how strongly the aptamer binds to the particular target molecule.

Neural network for processing aptamer data

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

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.

Processing fundus images using machine learning models

Configurations for providing a data feed of contact information updates, deletes, and additions to one or more clients are disclosed. A contact information server can maintain a log including respective log entries of different updates (e.g., in a log structure data store) performed on the contact information. The contact information server orders the log entries using associated timestamps in order to be consistent with the actual order of updates performed on the contact information. For synchronizing contact information, a client will submit a query and supply a timestamp to the contact information server to request the log of updates based on the timestamp (e.g., log entries corresponding to a set of updates since the included timestamp). The server will respond with one or more modifications to the contact information represented as the set of updates in respective log entries.

Global address list

Systems and methods for scheduling events are described. In some embodiments, a method comprises: at a computer system, obtaining a request to schedule a calendar event including a plurality of constraints. In response to the request, a plurality of candidate calendar events that meets at least two of the plurality of constraints is obtained. The plurality of candidate calendar events and a plurality of user-editable options corresponding to the plurality of constraints are concurrently presented for display. In some embodiments, the method optionally includes obtaining, via a user-editable option, a modification to a constraint in the plurality of constraints which is then used to update the plurality of candidate calendar events. In some embodiments, the user-editable options are determined, at least in part, by user preferences. In some embodiments, the plurality of user-editable options further corresponds to a designation of one or more invitees to the scheduled calendar event.

Systems and methods for scheduling events

A method and system for scheduling or re-scheduling calendar events is described. One aspect of the invention involves: receiving a calendar search request to schedule a calendar event including at least one participant and a time of meeting constraint; obtaining information identifying one or more preferences associated with the at least one participant, at least one of the preferences based on the at least one participant's historical calendar activity over a predetermined period of time; searching one or more databases in a calendaring system to obtain a set of candidate calendar events that meet at least a subset of the plurality of constraints; ranking the set of candidate calendar events based on the plurality of constraints and the one or more preferences; and preparing for presentation at least a subset of the ranked set of candidate calendar events, each candidate calendar event including a specified start time.

Automatically schedule and re-schedule meetings through search interface

A series of iterative customer submissions and vendor responses are used to collect sufficient information concerning a custom manufacturing project so as to produce a sufficiently constrained job request as to allow at least one of the vendors to submit a quote for the project. The submissions and responses are preferably made through Web forms and, in one example, the custom manufacturing project is a print job. The collection process is preferably computer assisted so as to incrementally add constraints to an initially under-constrained job request to produce the sufficiently constrained job request.

Iterative constraint collection scheme for preparation of custom manufacturing contracts

A data storage and retrieval mechanism includes a base table to store attributes common to each of the customer-specific variants and a spill-over table to store customer-specific attributes for associated individual ones of the customer-specific variants, the attributes of the base table and spill-over table each sharing a common, human readable name-referencing scheme. The customer-specific variants provide for corporate personalization of data storage, retrieval, and input and output operations/presentations as well as workflows that use such data. The name-referencing scheme may utilize multi-part names for data objects and such names may be used by other applications within the hosted environment for creating workflows, visual representations of the workflows, and/or data forms. Preferably, workflows are customized to customer-specific variants and may be created by a workflow engine that segregates scheduled transactions according to processes described by the workflows into asynchronous operations when such transactions cause actions outside the hosted environment.

Method and apparatus for customized hosted applications

Growing community of inventors

San Jose, CA, United States of America

Philip Charles Nelson