Zachary R Taylor

US Patent:

20130162949, Jun 27, 2013

Filed:

Aug 29, 2012

Appl. No.:

13/597947

Inventors:

Martin Culjat - Los Angeles CA, US
Priyamvada Tewari - Los Angeles CA, US
Jean L. Bourges - Paris, FR
Jean P. Hubschman - Los Angeles CA, US
Rahul S. Singh - Palo Alto CA, US
Zachary Taylor - Poway CA, US
Warren S. Grundfest - Los Angeles CA, US

Assignee:

The Regents of the University of California - Oakland CA

International Classification:

A61B 3/00

US Classification:

351221, 351246

Abstract:

A corneal hydration sensing system includes an illumination system configured to provide an illumination beam of terahertz radiation, an optical system arranged in an optical path of the illumination system to relay and direct at least a portion of the illumination beam of terahertz radiation onto a cornea of a subject and to receive at least a portion of terahertz radiation reflected from the cornea to provide a return beam of terahertz radiation, and a detection system arranged in an optical path of the return beam of terahertz radiation. The detection system is configured to provide a detection signal from detecting at least a portion of the return beam of terahertz radiation. The corneal hydration sensing system also includes a signal processing system configured to communicate with the detection system to receive the detection signal. The signal processing system processes the detection signal to provide a measure of an amount of hydration sensed in the cornea of the subject.

US Patent:

51760010, Jan 5, 1993

Filed:

Sep 30, 1991

Appl. No.:

7/767895

Inventors:

Zachary R. Taylor - Pomona CA
Fred J. Darms - Pomona CA

Assignee:

Harsco Corporation - Wormleysburg PA

International Classification:

F17C 300

US Classification:

62 451

Abstract:

An improved nested tube cryogenic support and its method of manufacture includes a plurality of nested tube assemblies each including an FRP tube having a metal connector element integrally joined at each end thereof by forming a groove around the outer periphery of the connector elements, forming the end portion of the uncured FRP tube into the groove, and applying a prestressed fiber reinforced plastic band around the outer periphery of the tube at the groove to apply a compressive force reinforcing the joint between the connector elements and the tube.

US Patent:

20220309286, Sep 29, 2022

Filed:

Jan 13, 2022

Appl. No.:

17/575533

Inventors:

- San Francisco CA, US
Meera Rao - San Francisco CA, US
Rick Wolf - San Francisco CA, US
Peyton Rose - San Francisco CA, US
Stephen Martin - San Francisco CA, US
Sameer Soi - San Francisco CA, US
Zachary Taylor - San Francisco CA, US
Ye Wang - San Francisco CA, US

Assignee:

Includede Health, Inc. - San Francisco CA

International Classification:

G06K 9/62
G06N 20/00
G06F 16/242
G06F 16/2458

Abstract:

Methods, systems, and computer-readable media for generating a statistically covaried machine learning model for performance measurement of service providers. The method receives a configuration file that includes one or more parameters associated with a plurality of individuals and parses it to generate and executing the database query on input data to generate sets of tabulated data of individuals of the plurality of individuals. The method next determines one or more measures of service providers listed in the configuration file using two or more tabulated data of individuals from the sets of tabulated data of individuals. The method finally generates a covaried machine learning model by training a machine learning model by statistically covarying measures and using them as training data.

US Patent:

20230004801, Jan 5, 2023

Filed:

Aug 30, 2022

Appl. No.:

17/898887

Inventors:

- Santa Clara CA, US
John Zedlewski - San Francisco CA, US
Zachary Taylor - Santa Cruz CA, US
Greg Heinrich - Nice, FR
Claire Delaunay - Menlo Park CA, US
Mark Daly - Eagle ID, US
Matthew Campbell - Surf City NC, US
Curtis Beeson - Irwin PA, US
Gary Hicok - Mesa CA, US
Michael Cox - Menlo Park CA, US
Rev Lebaredian - Los Gatos CA, US
Tony Tamasi - Portola Valley CA, US
David Auld - Saratoga CA, US

International Classification:

G06N 3/08
G06N 20/00
G06F 9/455
G06N 3/063
G06K 9/62
G06N 3/04
G06V 10/44
G06V 20/56

Abstract:

In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

US Patent:

20200085407, Mar 19, 2020

Filed:

Sep 25, 2019

Appl. No.:

16/582084

Inventors:

- Oakland CA, US
Maie St. John - Los Angeles CA, US
Ashkan Maccabi - Tarzana CA, US
George Saddik - Oxnard CA, US
Zachary Taylor - Poway CA, US

Assignee:

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - Oakland CA

International Classification:

A61B 8/08
A61B 8/00

Abstract:

Systems and methods for performing multi-frequency harmonic acoustography for target identification and border detection are described, where a focused confocal transducer having a piezoelectric element and a hydrophone positioned centrally in the piezoelectric element is used. The transducer emits ultrasonic waves toward a target of interest at first and second frequencies. The two waves interfere at a focal plane within the target to generate a third acoustic wave. The target absorbs energy and emits its own unique vibration at the difference frequency (Δf) of the two waves as well as its harmonics. The unique vibration is recorded with a hydrophone, and mechanical properties of the target are ascertained through detection and analysis of the third acoustic wave using a mathematical model implemented by a signal processing circuit.

US Patent:

20200033336, Jan 30, 2020

Filed:

Mar 26, 2018

Appl. No.:

16/498312

Inventors:

- Oakland CA, US
Maie A. ST John - Los Angeles CA, US
Zachary D. Taylor - Los Angeles CA, US
Daniel W. Bradbury - Los Angeles CA, US
Ashley E. Kita - Los Angeles CA, US

International Classification:

G01N 33/543
B01L 3/00

Abstract:

Devices and methods are provided for the detection of CSF in a biological sample. In certain embodiments the device is a lateral flow device comprising: a porous substrate; a sample addition zone disposed on or in said porous substrate; a detection zone disposed on or in said porous substrate where said detection zone comprises at least a first test line (T) and a second test line (T) each test line comprising binding moieties that bind a complex formed between beta-trace protein (betaTP) and an indicator attached to a betaTP binding molecule; wherein said porous substrate defines a flow path through which a sample applied to the sample addition zone flows under capillary action away from said sample addition zone into said detection zone.

US Patent:

20190303759, Oct 3, 2019

Filed:

Mar 27, 2019

Appl. No.:

16/366875

Inventors:

- San Jose CA, US
John Zedlewski - San Francisco CA, US
Zachary Taylor - Santa Cruz CA, US
Greg Heinrich - Nice, FR
Claire Delaunay - Menlo Park CA, US
Mark Daly - Eagle ID, US
Matthew Campbell - Surf City NC, US
Curtis Beeson - Irwin PA, US
Gary Hicok - Mesa AZ, US
Michael Cox - Menlo Park CA, US
Rev Lebaredian - Los Gatos CA, US
Tony Tamasi - Portola Valley CA, US
David Auld - Saratoga CA, US

International Classification:

G06N 3/08
G06F 9/455
G06N 20/00

Abstract:

In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

US Patent:

20190293789, Sep 26, 2019

Filed:

Apr 3, 2019

Appl. No.:

16/373777

Inventors:

- Oakland CA, US
Maie St. John - Los Angeles CA, US
Ashkan Maccabi - Tarzana CA, US
George Saddik - Newbury Park CA, US
Zachary D. Taylor - Poway CA, US

Assignee:

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - Oakland CA

International Classification:

G01S 15/89
G01S 7/52
G01S 7/539
B06B 1/06
A61B 8/00

Abstract:

A vibro-acoustography imaging system that that generates a map of the mechanical response of a target to an acoustic radiation force, usually in low kHz range by a confocal geometry. The system generates two focused sinusoidal beams to produce a stress field at the beat frequency, which is a function of vibration and acoustic emissions field in terms of mechanical properties. A highly sensitive hydrophone is then used for detection of the acoustic emissions field, the amplitude of which may be correlated to the mechanical properties of the target tissue.