Ross A. Donelly - Sunnyvale CA William C. Naylor - San Jose CA Michael Fu - San Jose CA
Assignee:
Synopsys, Inc. - Mountain View CA
International Classification:
G06F 1750
US Classification:
716 10, 716 13, 716 14, 716 12, 716 1
Abstract:
A computer implemented process for the automatic creation of integrated circuit (IC) geometry including a multiple pass process flow using multiple passes of direct timing driven placement after a first pass of non-direct timing driven placement. First, a high level description of the circuit design may be synthesized. Next, a non-direct timing driven placement process may place the design. Then the placed design may be routed. Alternatively, routability may be estimated. After routing, a modified design may be resynthesized. The resynthesized design may then be placed according to a direct timing driven placement process. This sequence may be repeated several times.
System For Storing, Displaying, And Navigating Content Data Regarding Market Driven Industries
Michael Fu - San Jose CA, US Harold Sun - Tigard OR, US Unni Narayanan - Sunnyvale CA, US William Ward Carey - Hillsborough CA, US Phani Saripella - Santa Clara CA, US
Assignee:
PRIMARY GLOBAL RESEARCH, LLC - Mountain View CA
International Classification:
G06F 7/00
US Classification:
7071041
Abstract:
A model and system employing the model provides an organized structure for storing, displaying, and navigating content data regarding instruments for market driven industries (i.e., securities). A Market Research Model (MRM) paradigm is used to represent elemental concepts, a plurality of specific classes of entities form the MRM, and an interface is used to assemble, maintain, and interact with the model. Information may be added to the model by a research provider and provided to an end user on a subscription basis. The user is provided with an interconnected, navigable model of an item of interest for research and decision-making support.
Streaming Synchronized Media Content To Separate Devices
- San Jose CA, US Michael Chin-Ming FU - Cupertino CA, US
International Classification:
H04L 29/08 H04L 29/06 H04N 21/4363 H04N 21/43
Abstract:
Described are system, apparatus, article of manufacture, method, or computer program product embodiments for controlling streaming of media content. An embodiment operates by halting a presentation of future content from a buffer upon determining that the buffer is exhausted of content to present. The embodiment includes receiving one or more packets over a network connection, the one or more packets including media information corresponding to a first portion of streaming media content, in which the first portion corresponds to a second portion of the streaming media content. The one or more packets in a buffer are stored as buffered content. Responsive to determining that the network connection is not experiencing a burst condition, the buffer is trimmed. Then, presentation of buffered content is resumed and the first portion is caused to be presented in sync with the second portion.
System And Method For Capture And Adaptive Data Generation For Training For Machine Vision
A computer-implemented method of performing machine vision prediction of digital images using synthetically generated training assets comprises digitally capturing a plurality of assets; configuring each of the assets in the plurality of assets with a plurality of asset attributes; under computer program control, selecting a plurality of different combinations of parameters from among the plurality of asset attributes, and creating a plurality of sets of different synthetic dataset parameters; using computer graphics software, and example parameter values from among the synthetic dataset parameters, creating a synthetic dataset by compiling from a plurality of example images and metadata; configuring a plurality of machine learning trials and executing the trials to train a machine vision model, resulting in creating and storing a trained machine vision model; executing a validation of the trained machine vision model; and inferring a prediction using the trained machine vision model. Trained models are scored against success criteria and re-trained using pseudo-random sampling of different parameters clustered around failure points. As a result, machine vision models may be trained with high accuracy using large datasets of synthesized digital images that are richly parameterized, rather than human captured digital images.
Disclosed herein are system, method, and computer program product embodiments for flexible output of streaming media. An embodiment operates by receiving, at a media server, media over a network. Output media, corresponding to the received media, is streamed to a display device. The output media includes a video component and an audio component. A command is received. Responsive to the command, the streaming of the video component to the display device is discontinued. A streaming of the video component is begun to a mobile device at a point in the video component corresponding where the video was discontinued.
Streaming Synchronized Media Content To Separate Devices
- Saratoga CA, US Michael Chin-Ming FU - Cupertino CA, US
International Classification:
H04L 29/08 H04L 29/06
Abstract:
Described are system, apparatus, article of manufacture, method, or computer program product embodiments for controlling streaming of media content. An embodiment operates by halting a presentation of future content from a buffer upon determining that the buffer is exhausted of content to present. The embodiment includes receiving one or more packets over a network connection, the one or more packets including media information corresponding to a first portion of streaming media content, in which the first portion corresponds to a second portion of the streaming media content. The one or more packets in a buffer are stored as buffered content. Responsive to determining that the network connection is not experiencing a burst condition, the buffer is trimmed. Then, presentation of buffered content is resumed and the first portion is caused to be presented in sync with the second portion.
Dec 2011 to May 2013 Senior Director, Investor Relations and Corporate DevelopmentMarcus Food & Beverage Mgmt Co
Mar 2010 to Nov 2011 Vice President, Finance and Real EstateThe Bear Stearns Companies, Inc New York, NY Jun 2006 to Aug 2008 Senior Associate, Real Estate and Lodging GroupBank of America Corporation San Francisco, CA Jul 2005 to May 2006 Associate, Real Estate and Lodging GroupSignal Hill Capital Group LLC Baltimore, MD Jul 2002 to May 2004 Associate, Mergers and AcquisitionsDeutsche Bank AG Baltimore, MD Jul 2000 to Jun 2002 Analyst, Media and Telecommunications Group
Education:
Northwestern University - Kellogg School of Management Evanston, IL Jun 2004 to Jun 2005 MBA in Finance and EntrepreneurshipUniversity of Michigan - Ross School of Business Ann Arbor, MI Sep 1996 to Jun 2000 Bachelor of Business Administration in Finance and Accounting
Jul 2013 to 2000 Curriculum Writer/DeveloperGoogle Inc Mountain View, CA Oct 2012 to Oct 2013 Enterprise Product Fulfillment SpecialistWestlake Middle School Oakland, CA Aug 2011 to Jun 2012 Middle School Science InstructorMaking Waves Academy Richmond, CA Jul 2010 to Jun 2011 Middle School Math Instructor
Education:
UNIVERSITY OF CALIFORNIA, BERKELEY Berkeley, CA May 2009 M.A. in Science and Math Education
2011 to 2012 Director of Program ManagementAsteelFlash Group Fremont, CA 2007 to 2011 Program Management ManagerFlash Electronics Fremont, CA 2006 to 2007 Manager of Program Management (Business Unit Manager)Flash Electronics
2004 to 2006 Global Program ManagerFlash Electronics
2000 to 2004 Program ManagerFlash Electronics
1999 to 2000 Quotations Manager
Education:
University of California at Davis Davis, CA 1992 to 1996 BA in Economics
Skills:
Administration and Office Skills- ERP - SAP Product Management - Agile Office - Microsoft Office (Excel, Project, PowerPoint)
Name / Title
Company / Classification
Phones & Addresses
Michael Fu Vice President - Technology
The Fluid Image
2041 Bancroft Way, Berkeley, CA 94707 5105276348
Michael Fu President
MASCOT INTERNATIONAL Mfg Gold Plated and Crystal Gifts
1055 Harrison St, Berkeley, CA 94710 5105273965, 5105273967, 8003254625
Michael Fu President
Big Mike's Volcano Corporation Business Services at Non-Commercial Site · Nonclassifiable Establishments
535 Pierce St, Berkeley, CA 94706
Michael Fu Managing
Biuby LLC Software and Real Estate and All Lawful · Nonclassifiable Establishments
535 Pierce St, Berkeley, CA 94706
Michael Fu Chief Technology Officer
Primary Global Research, LLC Data Processing/Preparation · Information Technology Consulting Svcs
1975 W El Cam, Mountain View, CA 94040 PO Box 3780, Saratoga, CA 95070 1975 W El Camino Real, Mountain View, CA 94040 6509608182, 6509601800
D'Ambrosio Eye Care IncDambrosio Eye Care Inc 479 Old Un Tpke, Lancaster, MA 01523 9785373900 (phone), 9785376030 (fax)
Dambrosio Eye Care 100 Powdermill Rd, Acton, MA 01720 9788977212 (phone), 9784610345 (fax)
Dambrosio Eye Care Inc 74 Main St, Gardner, MA 01440 9786323930 (phone), 9785376030 (fax)
Procedures:
Ophthalmological Exam
Languages:
English
Description:
Dr. Fu works in Acton, MA and 2 other locations and specializes in Optometry. Dr. Fu is affiliated with Emerson Hospital, HealthAlliance Hospital Leominster, Henry Heywood Memorial Hospital and St Vincent Hospital.