William E Ayers

US Patent:

42462584, Jan 20, 1981

Filed:

Feb 26, 1979

Appl. No.:

6/015540

Inventors:

William A. Ayers - Beltsville MD
Peter B. Adams - Beltsville MD

Assignee:

The United States of America as represented by the Secretary of
Agriculture - Washington DC

International Classification:

A61K 3700
A61K 3500

US Classification:

424 93

Abstract:

This invention relates to a method of biologically controlling plant diseases caused by sclerotia of sporidesmium susceptible plant pathogenic fungi.

US Patent:

20190243840, Aug 8, 2019

Filed:

Apr 19, 2019

Appl. No.:

16/389300

Inventors:

- Palo Alto CA, US
Allen Chang - Mountain View CA, US
Chris Hammett - Washington DC, US
Jeremy Liu - Arlington VA, US
Matthew Elkherj - Menlo Park CA, US
Ryan Beiermeister - San Francisco CA, US
Ryan Smith - Vienna VA, US
Tatyana Gordeeva - Palo Alto CA, US
William Ayers - Washington DC, US

International Classification:

G06F 16/25
G06F 16/2457
G06F 16/2455
G06F 16/248

Abstract:

Systems and methods are provided for identifying and compiling information relating to an entity for investigative analysis. The system may comprise one or more processors and a memory storing instructions that, when executed by the one or more processors, cause the system to search, in one or more data sources, with a plurality of known characteristics of an entity to obtain a first plurality of records, identify from the first plurality of records a subset of records that match the known characteristics with a substantial confidence, compile the subset of records to form a unified record representing the entity and conduct a second search with information from the unified record to obtain a second plurality of search results.

US Patent:

20190163709, May 30, 2019

Filed:

Jan 29, 2019

Appl. No.:

16/261250

Inventors:

- Palo Alto CA, US
Ashley Einspahr - Palo Alto CA, US
Breanna Bunge - San Bruno CA, US
Chris Hammett - Washington DC, US
Erika Crawford Tom - New York NY, US
Mitchell Beard - Falls Church VA, US
Ryan Beiermeister - San Francisco CA, US
Seelig Sinton - Washington DC, US
Sharon Hao - Redwood City CA, US
William Ayers - Washington DC, US

International Classification:

G06F 16/951
G06F 16/38

Abstract:

Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity). For each of the search results, a score can be determined taking as input (a) likelihood of match between the seed entity and the hit entity or between a seed-linked entity and a hit-linked entity, (b) presence of a new entity in the search result not present in the search queries or a difference between the new entity and an entity present in the search queries, and (c) characteristic of the new entity in the search result. Based on the scores, high priority search results can be presented a user for further analysis.

US Patent:

20180322198, Nov 8, 2018

Filed:

May 2, 2017

Appl. No.:

15/584423

Inventors:

- Palo Alto CA, US
Ashley Einspahr - Palo Alto CA, US
Breanna Bunge - San Bruno CA, US
Chris Hammett - Washington DC, US
Erika Crawford Tom - New York NY, US
Mitchell Beard - Falls Church VA, US
Ryan Beiermeister - San Francisco CA, US
Seelig Sinton - Washington DC, US
Sharon Hao - Redwood City CA, US
William Ayers - Washington DC, US
Seth Robinson - Brooklyn NY, US

International Classification:

G06F 17/30

Abstract:

Systems and methods are provided for identifying relevant information for an entity, referred to as a seed entity. A plurality of search queries can be generated each comprising a property of a seed entity or one of the entities associated with the seed entity (seed-linked entities). Preferably, a collection of search queries includes ones representing different properties of the seed entity and properties of different seed-linked entities. Optionally, the collection of search queries is optimized to reduce search burden. Searches can then be conducted with the search queries in one or more data sources to obtain a plurality of search results, wherein each search result comprises a hit entity and one or more entities associated with the hit entity (hit-linked entity). For each of the search results, a score can be determined taking as input (a) likelihood of match between the seed entity and the hit entity or between a seed-linked entity and a hit-linked entity, (b) presence of a new entity in the search result not present in the search queries or a difference between the new entity and an entity present in the search queries, and (c) characteristic of the new entity in the search result. Based on the scores, high priority search results can be presented a user for further analysis.