The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 08, 2019

Filed:

Nov. 16, 2017
Applicant:

Unanimous A. I., Inc., San Francisco, CA (US);

Inventors:

Louis B. Rosenberg, San Luis Obispo, CA (US);

Niccolo Pescetelli, Cambridge, MA (US);

David Baltaxe, Arlington, VA (US);

Assignee:

Unanimous A. I., Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2013.01); H04L 12/18 (2006.01); H04L 29/08 (2006.01); G06Q 50/00 (2012.01); H04L 29/06 (2006.01); G06F 9/451 (2018.01); G06N 20/00 (2019.01); G06Q 10/10 (2012.01); G06F 3/0484 (2013.01);
U.S. Cl.
CPC ...
H04L 12/1827 (2013.01); G06F 3/04847 (2013.01); G06F 9/453 (2018.02); G06N 20/00 (2019.01); G06Q 10/101 (2013.01); G06Q 50/01 (2013.01); H04L 65/1066 (2013.01); H04L 67/12 (2013.01); H04L 67/141 (2013.01); H04L 67/147 (2013.01); H04L 67/22 (2013.01); H04L 67/325 (2013.01);
Abstract

Systems and methods for real-time collaborative computing and collective intelligence are disclosed. A hybrid swarm intelligence system includes a central collaboration server, a plurality of computing devices in communication with the central server, and an agent application in communication with the central server. In response to information sent from the central server during a group collaboration session, user input is sent to the central server via the computing devices, and machine input is given to the server via the agent application, which determines input based on rules, additional data, and/or machine learning techniques. The central server uses the user input and the machine input to repeatedly provide feedback to the agent application and users during the group collaboration session.


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