Palo Alto Research Center Inc.

Dropbox, Inc.

Walter Kim

Saigopal Nelaturi

Arvind Rangarajan

Tolga Kurtoglu

David J Kriegman

Thomas R Berg

Aditi Jain

Manveer Singh Chawla

Swapnil Zarekar

Karandeep Johar

Aaron Feldstein

Robert Kajic

Joe Nudell

Jenny Dong

Jared Wilson

Luke Thompson

Christopher J Park

Ryan M Noon

Techniques are provided for delayed processing for arm policy determination for content management system messaging, including, during a delayed processing window, receiving reward data for arm actions taken, where the arm actions were chosen based on a previous version of an arm choice policy, and the previous version of the arm choice policy was determined based on a previous set of reward data for a previous set of arm actions taken. When the delayed processing window has closed, a new arm choice policy is determined based at least in part on the action-reward data, and the previous set of reward data and/or the previous arm choice policy. After a request to choose an arm choice is received, a particular arm action to take is determined based on the new arm choice policy. This chosen arm is provided in response to the request.

Delayed processing for arm policy determination for content management system messaging

Computer-implemented techniques include, during a delayed processing window, receiving reward data for arm actions taken, where the arm actions were chosen based on a previous version of an arm choice policy, and the previous version of the arm choice policy was determined based on a previous set of reward data for a previous set of arm actions taken. When the delayed processing window has closed, a new arm choice policy is determined based at least in part on the action-reward data, and the previous set of reward data and/or the previous arm choice policy. After a request to choose an arm choice is received, a particular arm action to take is determined based on the new arm choice policy. This chosen arm is provided in response to the request.

Techniques are provided for data exploration. An application is provided for execution on a client computer to display a plurality of data fields associated with one or more data sources, receive user input specifying a set of one or more graph parameters based on one or more selected data fields, generate a graph model, and transmit a continuous query request corresponding to the graph model. In response to receiving the continuous query request from the application, a continuous query is generated and stored in association with the graph model. The continuous query is periodically executed to generate a plurality of computed result sets over time by accessing the one or more data sources. A selected computed result set is provided to the application. The application is configured to render a graph in the graph rendering interface based on the selected computed result set.

Integrated data exploration, modeling and visualization

A system and a method automate metrology, measurement, and model correction of a three dimensional (3D) model for 3D printability. Slices of the 3D model are received or generated. The slices represent 2D solids of the 3D model to be printed in corresponding print layers. Medial axis transforms of the slices are calculated. The medial axis transforms represent the slices in terms of corresponding medial axes. A local feature size at any point along a boundary of the slices is determined as the shortest distance from the point to a corresponding medial axis.

Automated metrology and model correction for three dimensional (3D) printability

A system and a method visualize three dimensional (3D) printability of a 3D model. A 3D printing process of the 3D model is simulated to generate a layered 3D model describing the 3D model as printed. A visual rendering of the layered 3D model is generated, and the visual rendering of the layered 3D model is displayed on a display device.

System for visualizing a three dimensional (3D) model as printed from a 3D printer

A system and a method assess the three dimensional (3D) printability of a 3D model. Slices of the 3D model are received or generated. The slices represent two dimensional (2D) solids of the 3D model to be printed in corresponding print layers. Further, printing of the slices is simulated to identify corresponding printable slices.

Automated design and manufacturing feedback for three dimensional (3D) printability

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San Francisco, CA, United States of America

Walter Kim