David M Andre

US Patent:

6360191, Mar 19, 2002

Filed:

Jan 5, 1999

Appl. No.:

09/225643

Inventors:

John R. Koza - Los Altos Hills CA 94022
David Andre - Menlo Park CA
Martin A. Keane - Chicago IL

Assignee:

John R. Koza - Los Altos Hills CA

International Classification:

G06G 748

US Classification:

703 6, 703 2, 703 7, 703 14, 703 22, 716 1, 716 2

Abstract:

An automated design process and apparatus for use in designing complex structures, such as circuits, to satisfy prespecified design goals, using genetic operations. The present invention uses a population of entities which may be evolved to generate structures that may potentially satisfy the design goals. The behavior of such generated structures is evaluated in view of the design goals, and those structures more closely meeting the design goals are evolved further until a structure is generated that either meets the prespecified design goal or some other process completion criteria. In this manner, a design complex structure may be obtained.

US Patent:

6532453, Mar 11, 2003

Filed:

Apr 12, 1999

Appl. No.:

09/290521

Inventors:

John R. Koza - Los Altos Hills CA 94022
David Andre - Menlo Park CA
Martin A. Keane - Chicago IL

Assignee:

John R. Koza - Los Alto Hills CA

International Classification:

G06F 1518

US Classification:

706 13

Abstract:

The present invention is a genetic programming problem solver that automatically generates computer programs to solve problems. The genetic programming problem solver incorporates architecture-altering operations. In one embodiment, the genetic programming problem solver uses architecture-altering operations for automatically defined functions and loops, together with indexed memory, to generate the resulting computer programs. In a second embodiment, the genetic programming problem solver uses architecture-altering operations of automatically defined function, loops, recursions, and stores to generate the resulting computer programs.

US Patent:

57939004, Aug 11, 1998

Filed:

Dec 29, 1995

Appl. No.:

8/581245

Inventors:

Illah Reza Nourbakhsh - Stanford CA
David Andre - Menlo Park CA

Assignee:

Stanford University - Stanford CA

International Classification:

G06K 900
G06K 940

US Classification:

382263

Abstract:

A method is disclosed for generating a categorical depth map of a scene using passive defocus sensing. In a preferred embodiment three synchronized CCD cameras focused at different distances detect three images of the same scene. An image processor partitions the images into an array of regions and calculates a sharpness value for each region. The sharpness value for a region is calculated by summing over all pixels (x,y) in the region the absolute difference in the intensity value of a pixel (x,y)( with pixel (x-k,y-l), where k and l are constants. The image processor then constructs a depth map of the scene by determining for each region the image with the greatest sharpness in that region. An application of the invention to a mobile robot control system is described in detail. Among other applications, the method may be used for collision avoidance, object detection, and speed measurement.

US Patent:

58673970, Feb 2, 1999

Filed:

Feb 20, 1996

Appl. No.:

8/603648

Inventors:

John R. Koza - Los Altos Hills CA
Forrest H. Bennett - Palo Alto CA
David Andre - Menlo Park CA

International Classification:

G06K 1700

US Classification:

364489

Abstract:

An automated design process and apparatus for use in designing complex structures, such as circuits, to satisfy prespecified design goals, using genetic operations. The present invention uses a population of entities which may be evolved to generate structures that may potentially satisfy the design goals. The behavior of such generated structures is evaluated in view of the design goals, and those structures more closely meeting the design goals are evolved further until a structure is generated that either meets the prespecified design goal or some other process completion criteria. In this manner, a design complex structure may be obtained.

US Patent:

60583851, May 2, 2000

Filed:

Mar 7, 1997

Appl. No.:

8/813894

Inventors:

John R. Koza - Los Altos Hills CA
David Andre - Menlo Park CA
Walter Alden Tackett - San Francisco CA

International Classification:

G06F 1518

US Classification:

706 13

Abstract:

An apparatus and method for solving problems where a population is created and evolved to generate a result. While solving the problem, the architecture of entities in the population are altered. Each of said entities may include internally and externally invoked sub-entities. The externally invoked sub-entities are capable of having actions, invocations of sub-entities which are invoked internally, and material. Also, each sub-entity which is invoked internally is capable of including actions, invocations of internally invocable sub-entities, material provided to the externally invocable sub-entity, and material.

US Patent:

57427380, Apr 21, 1998

Filed:

Aug 4, 1994

Appl. No.:

8/286134

Inventors:

John R. Koza - Los Altos Hills CA
David Andre - Menlo Park CA
Walter Alden Tackett - San Francisco CA

International Classification:

G06F 1500
G06F 1518

US Classification:

395 13

Abstract:

An apparatus and method for solving problems where a population is created and evolved to generate a result. While solving the problem, the architecture of entities in the population are altered. Each of said entities may include internally and externally invoked sub-entities. The externally invoked sub-entities are capable of having actions, invocations of sub-entities which are invoked internally, and material. Also, each sub-entity which is invoked internally is capable of including actions, invocations of internally invocable sub-entities, material provided to the externally invocable sub-entity, and material.

US Patent:

20180330281, Nov 15, 2018

Filed:

Jul 9, 2018

Appl. No.:

16/030631

Inventors:

Eric Teller - Palo Alto CA, US
David Andre - San Francisco CA, US
John Stivoric - Pittsburgh PA, US

International Classification:

G06N 99/00

Abstract:

Provided herein is a platform for prediction based on extraction of features and observations collected from a large number of disparate data sources that uses machine learning to reinforce quality of collection, prediction and action based on those predictions.

US Patent:

20140343370, Nov 20, 2014

Filed:

Apr 14, 2014

Appl. No.:

14/252090

Inventors:

- Pittsburgh PA, US
Eric Teller - Palo Alto CA, US
David Andre - San Francisco CA, US
Nisarg Vyas - Bopal Ahmedabad Gujarat, IN
Jonathan Farringdon - Pittsburgh PA, US
Donna Wolf - Pittsburgh PA, US
Christopher Pacione - Pittsburgh PA, US
Suresh Vishnubhatla - Louisville KY, US
Scott Safier - New York NY, US
Raymond Pelletier - Ben Avon PA, US

International Classification:

A61B 5/00
A61B 5/0205

US Classification:

600301

Abstract:

Systems and methods for non-invasively determining parameters related to blood glucose are disclosed. Embodiments are disclosed wherein a wearable sensor device comprises non-invasive sensors generating various sensed data which is then utilized to determine a glucose-related parameter.