Matthew A Weaver

US Patent:

20100094860, Apr 15, 2010

Filed:

Oct 9, 2008

Appl. No.:

12/248645

Inventors:

Wayne W. Lin - San Francisco CA, US
Matthew S. Weaver - Bellevue WA, US
Eran Timor - Haifa, IL
Tal Cohen - Atlit, IL
Nicholas S. Arini - Botley, GB
Theodore Vassilakis - Kirkland WA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/40
G06Q 30/00
G06F 7/06
G06F 17/30

US Classification:

707709, 707E1711, 707E17055, 707E1705, 705 1473, 707999107, 707804

Abstract:

In one embodiment, a method for a detection server in communication with each of multiple web pages of multiple websites on multiple web servers, the detection server in communication with an ad indexing server, includes automatically accessing from the detection server a file for rendering the web page from a web server, automatically building an object model of the web page at the detection server using the accessed file, automatically scanning the object model at the detection server for one or more elements that are advertisements, automatically analyzing each scanned advertisement at the detection server to determine one or more attributes of the scanned advertisement, and automatically storing data at the ad indexing server on the determined attributes of the scanned advertisements found at the detection server to facilitate an indexing of advertisements on the web pages of the websites.

US Patent:

20220222550, Jul 14, 2022

Filed:

Jan 24, 2022

Appl. No.:

17/583133

Inventors:

- Cupertino CA, US
Ali FARHADI - Seattle WA, US
Anish Jnyaneshwar PRABHU - Seattle WA, US
Carlo Eduardo Cabanero DEL MUNDO - Seattle WA, US
Daniel Carl TORMOEN - Seattle WA, US
Hessam BAGHERINEZHAD - Seattle WA, US
Matthew S. WEAVER - Bellevue WA, US
Maxwell Christian HORTON - Seattle WA, US
Mohammad RASTEGARI - Bothell WA, US
Sophie LEBRECHT - Seattle WA, US

International Classification:

G06N 5/04
G06F 11/34
H04N 5/232
G06F 8/41
G06F 8/10

Abstract:

In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AI model may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices.

US Patent:

20200184037, Jun 11, 2020

Filed:

Dec 10, 2018

Appl. No.:

16/215540

Inventors:

- Seattle WA, US
Matthew Weaver - Bellevue WA, US
Alexander Kirchhoff - Seattle WA, US
Dmitry Belenko - Redmond WA, US
Ali Farhadi - Seattle WA, US
Mohammad Rastegari - Bothell WA, US
Andrew Luke Chronister - Seattle WA, US
Keith Patrick Wyss - Seattle WA, US
Chenfan Sun - Redmond WA, US

International Classification:

G06F 21/10
G06N 3/08
G06N 3/10
H04L 9/30
H04L 9/08
G06F 21/12

Abstract:

In one embodiment, a method includes receiving a user request from a client device associated with a user, accessing an instructional file comprising one or more binary inference engines and one or more encrypted model data corresponding to the one or more binary inference engines, respectively, selecting a binary inference engine from the one or more binary inference engines in the accessed instructional file based on the user request, sending a validation request for a permission to execute the binary inference engine to a licensing server, receiving the permission from the licensing server, decrypting the encrypted model data corresponding to the binary inference engine by a decryption key, executing the binary inference engine based on the user request and the decrypted model data, and sending one or more execution results responsive to the execution of the binary inference engine to the client device.

US Patent:

20190340524, Nov 7, 2019

Filed:

May 6, 2019

Appl. No.:

16/404023

Inventors:

- Seattle WA, US
Ali Farhadi - Seattle WA, US
Anish Jnyaneshwar Prabhu - Seattle WA, US
Carlo Eduardo Cabanero del Mundo - Seattle WA, US
Daniel Carl Tormoen - Seattle WA, US
Hessam Bagherinezhad - Seattle WA, US
Matthew S. Weaver - Bellevue WA, US
Maxwell Christian Horton - Seattle WA, US
Mohammad Rastegari - Bothell WA, US
Sophie Lebrecht - Seattle WA, US

International Classification:

G06N 5/04
G06F 11/34
G06F 8/10
G06F 8/41
H04N 5/232

Abstract:

In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AI model may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices.

US Patent:

20140108376, Apr 17, 2014

Filed:

Nov 26, 2008

Appl. No.:

12/324334

Inventors:

John B. Batali - Kirkland WA, US
Robert F. Day - Bellevue WA, US
Lars Engebretsen - Zurich, CH
Hartmut Maennel - Zurich, CH
John W. Merrill - Redmond WA, US
Matthew S. Weaver - Bellevue WA, US

Assignee:

GOOGLE INC. - Mountain View CA

International Classification:

G06F 7/06
G06F 17/30

US Classification:

707708, 707E17014, 707E17108

Abstract:

Methods, systems, and apparatus, including computer program products, for selecting resources associated with a common topic. In one aspect, a method includes selecting a first resource associated with a topic, the first resource accessed in a user session, selecting a second resource accessed during the user session, determining whether the second resource is associated with the topic, and increasing a relevance score of the second resource and the topic based on determining that the second resource is not associated with the topic.