Thong Nhut Nguyen

US Patent:

20100079386, Apr 1, 2010

Filed:

Sep 30, 2008

Appl. No.:

12/242215

Inventors:

Steven J. Scott - Ocononowoc WI, US
Thong T. Nguyen - Anaheim CA, US
Greggory Cieslak - Greendale WI, US
Thomas Lloyd Heidebrecht - Cambridge WI, US
Pete J. Klein - Kenosha WI, US
Gary Dan Dotson - Muskego WI, US

International Classification:

G06F 3/041

US Classification:

345173

Abstract:

A Human-Machine Interface (HMI) system comprises a user interface, a processing system, and a machine interface. The user interface displays a multi-state enable option graphic selectable by a first touch from a user, that, when the first touch is maintained, enables a multi-state mode of a state option graphic having a plurality of modes comprising a single-state mode and the multi-state mode, displays the state option graphic selectable by a second touch from the user, and receives the second touch from the user selecting the state option graphic. If the state option graphic is in the multi-state mode when selected, the processing system processes the second touch to select a state option from a plurality of state options corresponding to a plurality of operation states of a machine. If the state option graphic is in the single-state mode when selected, the processing system processes the second touch to select the state option from a single state option corresponding to a single operation state of the machine. The machine interface transfers a control instruction to operate the machine in an operation state corresponding to the state option.

US Patent:

20100079499, Apr 1, 2010

Filed:

Sep 30, 2008

Appl. No.:

12/242396

Inventors:

Steven J. Scott - Ocononowoc WI, US
Thong T. Nguyen - Anaheim CA, US
Greggory Cieslak - Greendale WI, US
Thomas Lloyd Heidebrecht - Cambridge WI, US
Pete J. Klein - Kenosha WI, US
Gary Dan Dotson - Muskego WI, US

International Classification:

G09G 5/00

US Classification:

345661, 345619

Abstract:

A Human-Machine Interface (HMI) system comprises a machine interface, a processing system, and a user interface. The machine interface receives operational data associated with an operation of a machine. The processing system processes the operational data associated with the operation of the machine to determine a trend in the operational data. The user interface displays a graphical representation of the trend, and receives a first user input and a second user input simultaneously on a surface of the user interface. The processing system processes the first user input and the second user input to determine a change in the trend. The user interface displays a graphical representation of the change in the trend.

US Patent:

20100083110, Apr 1, 2010

Filed:

Sep 30, 2008

Appl. No.:

12/242445

Inventors:

Steven J. Scott - Ocononowoc WI, US
Thong T. Nguyen - Anaheim CA, US
Greggory Cieslak - Greendale WI, US
Thomas Lloyd Heidebrecht - Cambridge WI, US
Pete J. Klein - Kenosha WI, US
Gary Dan Dotson - Muskego WI, US

International Classification:

G06F 3/041

US Classification:

715702

Abstract:

A Human-Machine Interface (HMI) system comprises a user interface and a processing system. The user interface displays a plurality of machine systems in an automation environment having a plurality of automation information, displays an information menu indicating a plurality of information types associated with the plurality of machine systems, receives a first touch on a surface of the user interface selecting an information type from the plurality of information types, and, while receiving the first touch, receives a second touch on the surface of the user interface selecting a machine system from the plurality of machine systems. The processing system processes the first touch and the second touch to select from the plurality of automation information an automation information associated with the selected information type and the selected machine system. The user interface displays the selected automation information.

US Patent:

20220301658, Sep 22, 2022

Filed:

Mar 19, 2021

Appl. No.:

17/207169

Inventors:

- Mountain View CA, US
Vikash Singh - Los Angeles CA, US
Mathias Voges - Cupertino CA, US
Thong Nguyen - Pasadena CA, US

Assignee:

X Development LLC - Mountain View CA

International Classification:

G16B 40/00
G16B 5/20

Abstract:

The present disclosure relates to leveraging explainable machine learning methods and feature importance mechanisms as a mechanism for gene discovery and furthermore leveraging the outputs of the gene discovery to recommend ideal gene expression profiles and the requisite genome edits that are conducive to a desired phenotype. Particularly, aspects of the present disclosure are directed to obtaining gene expression profiles for a set of genes measured in a tissue sample of a plant, inputting the gene expression profiles into a prediction model constructed for a task of predicting a phenotype as output data, generating, using the prediction model, the prediction of the phenotype for the plant, analyzing, by an explainable artificial intelligence system, decisions made by the prediction model to predict the phenotype, and identifying a set of candidate gene targets for the phenotype as having a largest contribution or influence on the prediction based on the analyzing.