Sean C Fitzgerald

US Patent:

20200004803, Jan 2, 2020

Filed:

Jun 29, 2018

Appl. No.:

16/024212

Inventors:

- San Jose CA, US
Walter Wei-Tuh Chang - San Jose CA, US
Seokhwan Kim - San Jose CA, US
Sean Fitzgerald - Campbell CA, US
Laurie Marie Byrum - Pleasanton CA, US
Frederic Thevenet - San Francisco CA, US
Carl Iwan Dockhorn - San Jose CA, US

Assignee:

Adobe Inc. - San Jose CA

International Classification:

G06F 17/21
G10L 15/26
G06F 17/22
G06F 17/24

Abstract:

Techniques are disclosed for generating a structured transcription from a speech file. In an example embodiment, a structured transcription system receives a speech file comprising speech from one or more people and generates a navigable structured transcription object. The navigable structured transcription object may comprise one or more data structures representing multimedia content with which a user may navigate and interact via a user interface. Text and/or speech relating to the speech file can be selectively presented to the user (e.g., the text can be presented via a display, and the speech can be aurally presented via a speaker).

US Patent:

20190384807, Dec 19, 2019

Filed:

Jun 13, 2018

Appl. No.:

16/007632

Inventors:

- San Jose CA, US
Walter Chang - San Jose CA, US
Trung Bui - San Jose CA, US
Sean Fitzgerald - San Jose CA, US
Sasha Spala - Boston MA, US
Kishore Aradhya - Boston MA, US
Carl Dockhorn - San Jose CA, US

International Classification:

G06F 17/24
G06F 17/30
G06N 3/08
G06N 3/04

Abstract:

Systems, methods, and non-transitory computer-readable media are disclosed that collect and analyze annotation performance data to generate digital annotations for evaluating and training automatic electronic document annotation models. In particular, in one or more embodiments, the disclosed systems provide electronic documents to annotators based on annotator topic preferences. The disclosed systems then identify digital annotations and annotation performance data such as a time period spent by an annotator in generating digital annotations and annotator responses to digital annotation questions. Furthermore, in one or more embodiments, the disclosed systems utilize the identified digital annotations and the annotation performance data to generate a final set of reliable digital annotations. Additionally, in one or more embodiments, the disclosed systems provide the final set of digital annotations for utilization in training a machine learning model to generate annotations for electronic documents.

US Patent:

20180196913, Jul 12, 2018

Filed:

Jun 30, 2016

Appl. No.:

15/740645

Inventors:

Alex M. Yoshikawa - South San Francisco CA, US
Anand V. Sastry - South San Francisco CA, US
Asuka Ota - South San Francisco CA, US
Ben C. Kline - South San Francisco CA, US
Bradley M. Bond - South San Francisco CA, US
Brian M. Frezza - Redwood City CA, US
Cameron R. Lamoureux - South San Francisco CA, US
Catherine L. Hofler - South San Francisco CA, US
Cheri Y. Li - South San Francisco CA, US
Courtney E. Webster - South San Francisco CA, US
Daniel J. Kleinbaum - Redwood City CA, US
George N. Stanley - South San Francisco CA, US
George W. Fraser - Mountain View CA, US
Guillaume Robichaud - South San Francisco CA, US
Hayley E. Buchman - South San Francisco CA, US
James R. McKernan - South San Francisco CA, US
Jonathan K. Leung - Sunnyvale CA, US
Paul R. Zurek - South San Francisco CA, US
Robert M. Teed - South San Francisco CA, US
Ruben E. Valas - South San Francisco CA, US
Sean M. Fitzgerald - South San Francisco CA, US
Sergio I. Villarreal - South San Francisco CA, US
Shayna L. Hilburg - South San Francisco CA, US
Shivani S. Baisiwala - South San Francisco CA, US
Srikant Vaithilingam - South San Francisco CA, US
Wyatt J. Woodson - South San Francisco CA, US
Yang Choo - South San Francisco CA, US
Yidan Y. Cong - South San Francisco CA, US

Assignee:

Emerald Cloud Lab, Inc. - South San Francisco CA

International Classification:

G06F 19/12
G06F 19/28
G06F 19/00
G06F 19/26

Abstract:

The disclosure provides systems and methods for conducting and managing integrated laboratory experiments. The system includes a variety of laboratory instruments that are connected to conduct a large number of different types of experiments, and an interface for a user to design experiments and adjust parameters for the experiments. Given the integration, the system can further take data from related samples and instruments for determining or adjusting certain experimental parameters for optimized experimental efficiency and results.

US Patent:

20180190386, Jul 5, 2018

Filed:

Jun 30, 2016

Appl. No.:

15/740581

Inventors:

Alex M. Yoshikawa - South San Francisco CA, US
Anand V. Sastry - South San Francisco CA, US
Asuka Ota - South San Francisco CA, US
Ben C. Kline - South San Francisco CA, US
Bradley M. Bond - South San Francisco CA, US
Brian M. Frezza - Redwood City CA, US
Cameron R. Lamoureux - South San Francisco CA, US
Catherine L. Hofler - South San Francisco CA, US
Cheri Y. Li - South San Francisco CA, US
Courtney E. Webster - South San Francisco CA, US
Daniel J. Kleinbaum - Redwood City CA, US
George N. Stanley - South San Francisco CA, US
George W. Fraser - Mountain View CA, US
Guillaume Robichaud - South San Francisco CA, US
Hayley E. Buchman - South San Francisco CA, US
James R. McKernan - South San Francisco CA, US
Jonathan K. Leung - Sunnyvale CA, US
Paul R. Zurek - South San Francisco CA, US
Robert M. Teed - South San Francisco CA, US
Ruben E. Valas - South San Francisco CA, US
Sean M. Fitzgerald - South San Francisco CA, US
Sergio I. Villarreal - South San Francisco CA, US
Shayna L. Hilburg - South San Francisco CA, US
Shivani S. Baisiwala - South San Francisco CA, US
Srikant Vaithilingam - South San Francisco CA, US
Wyatt J. Woodson - South San Francisco CA, US
Yang Choo - South San Francisco CA, US
Yidan Y. Cong - South San Francisco CA, US

International Classification:

G16H 50/50
G16H 10/40

Abstract:

The disclosure provides systems and methods for data analysis of experimental data. The analysis can include reference data that are not directly generated from the present experiment, which reference data may be values of the experimental parameters that were either provided by a user, computed by the system with input from a user, or computed by the system without using any input from a user. Another example of such reference data may be information about the instrument, such as the calibration method of the instrument.