Patents by Inventor Gary B. Robinson

Gary B. Robinson has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200034737
    Abstract: Systems are presented for generating a natural language model. The system may comprise a database module, an application program interface (API) module, a background processing module, and an applications module, each stored on the at least one memory and executable by the at least one processor. The system may be configured to generate the natural language model by: ingesting training data, generating a hierarchical data structure, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document, receiving the annotation based on the annotation prompt, and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.
    Type: Application
    Filed: February 28, 2019
    Publication date: January 30, 2020
    Applicant: AIPARC HOLDINGS PTE. LTD. `
    Inventors: Robert J. Munro, Schuyler D. Erle, Christopher Walker, Sarah K. Luger, Jason Brenier, Gary C. King, Paul A. Tepper, Ross Mechanic, Andrew Gilchrist-Scott, Jessica D. Long, James B. Robinson, Brendan D. Callahan, Michelle Casbon, Ujjwal Sarin, Aneesh Nair, Veena Basavaraj, Tripti Saxena, Edgar Nunez, Martha G. Hinrichs, Haley Most, Tyler J. Schnoebelen
  • Publication number: 20190384809
    Abstract: Systems, methods, and apparatuses are presented for a trained language model to be stored in an efficient manner such that the trained language model may be utilized in virtually any computing device to conduct natural language processing. Unlike other natural language processing engines that may be computationally intensive to the point of being capable of running only on high performance machines, the organization of the natural language models according to the present disclosures allows for natural language processing to be performed even on smaller devices, such as mobile devices.
    Type: Application
    Filed: January 11, 2019
    Publication date: December 19, 2019
    Applicant: AIPARC HOLDINGS PTE. LTD.
    Inventors: Schuyler D. Erle, Robert J. Munro, Brendan D. Callahan, Gary C. King, Jason Brenier, James B. Robinson
  • Publication number: 20190303428
    Abstract: Methods are presented for generating a natural language model. The method may comprise: ingesting training data representative of documents to be analyzed by the natural language model, generating a hierarchical data structure comprising at least two topical nodes within which the training data is to be subdivided into by the natural language model, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document indicating which node among the at least two topical nodes said document is to be classified into, receiving the annotation based on the annotation prompt; and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.
    Type: Application
    Filed: November 5, 2018
    Publication date: October 3, 2019
    Inventors: Robert J. Munro, Schuyler D. Erle, Christopher Walker, Sarah K. Luger, Jason Brenier, Gary C. King, Paul A. Tepper, Ross Mechanic, Andrew Gilchrist-Scott, Jessica D. Long, James B. Robinson, Brendan D. Callahan, Michelle Casbon, Ujjwal Sarin, Aneesh Nair, Veena Basavaraj, Tripti Saxena, Edgar Nunez, Martha G. Hinrichs, Haley Most, Tyler Schnoebelen
  • Patent number: 6773266
    Abstract: A method for implementing a collaborative training and learning system on a computer system accessible to a plurality of remote users through a computer network includes (a) submitting questions, (b) combining the questions to provide a test, (c) administering the test to a group of students, and (d) computing a power score for each question.
    Type: Grant
    Filed: June 18, 2002
    Date of Patent: August 10, 2004
    Assignee: Athenium, L.L.C.
    Inventors: Charles F. Dornbush, Gary B. Robinson, Edward J. Cornelia
  • Patent number: 6471521
    Abstract: A method and apparatus for implementing a collaborative training and learning system on a computer system accessible to a plurality of remote users through a computer network includes (a) means for displaying at a user site at least one template which includes a question field, an answer field, a discussion field, a rationale field and a references field, (b) means for inputting user-data including a user-defined question to be included in a predetermined area of the template, (c) means for storing the user-data in a predetermined field of a database, (d) means for retrieving the user-data from the database and for displaying the template and the user-data on a display of the computer system, and (e) means for collaborating with other users of the system.
    Type: Grant
    Filed: July 26, 1999
    Date of Patent: October 29, 2002
    Assignee: Athenium, L.L.C.
    Inventors: Charles F. Dornbush, Gary B. Robinson, Edward J. Cornelia
  • Publication number: 20010054001
    Abstract: A system and method for targeting advertising. Advertising targeting information is stored on a client. Such information can be sensitive information that the user wishes to remain confidential. An advertisement is selected at the client for display to the user, based upon the advertising targeting information stored at the client. This can be accomplished using a software agent at the client. The selected advertisement may be retrieved from client memory, or a request can be sent to a remote server to send the selected advertisement to the client.
    Type: Application
    Filed: March 12, 2001
    Publication date: December 20, 2001
    Inventor: Gary B. Robinson
  • Patent number: 5918014
    Abstract: On the World Wide Web, and other interactive media, it is possible to show different ads to different people who are simultaneously viewing the same content. This invention is based on the fact that people who have shown a tendency for similar likes and dislikes in the past will show a tendency for such similarities in the future. Those people who strongly display such similarities with respect to a particular person ("the subject") are referred to as that person's "community." If the members of a subject's community tend to click on a particular Web ad, then it is likely that the subject will also tend to click on that ad. This invention combines techniques for: determining the subject's community, and determining which ads to show based on characteristics of the subject's community. The information used to determine whether a given individual should be in the subject's community is gleaned from the individual's activities in the interactive medium.
    Type: Grant
    Filed: December 26, 1996
    Date of Patent: June 29, 1999
    Assignee: Athenium, L.L.C.
    Inventor: Gary B. Robinson
  • Patent number: 5884282
    Abstract: An automated collaborative filtering (ACF) system for recommending at least one item to a first user based on similarity in preference of the user as compared with other users. The ACF system stores rating data for items provided by users of the system. Upon request of the first user, the system determines similarity values for the first user as compared with other users that have provided rating data for items that the first user has also rated. Based on the similarity values, a subgroup of users is selected that is then used to provide recommendations to the first user.
    Type: Grant
    Filed: April 9, 1998
    Date of Patent: March 16, 1999
    Inventor: Gary B. Robinson
  • Patent number: 5790426
    Abstract: An automated collaborative filtering (ACF) system for recommending at least one item to a first user based on similarity in preference of the user as compared with other users. The ACF system stores rating data for items provided by users of the system. Upon request of the first user, the system determines similarity values for the first user as compared with other users that have provided rating data for items that the first user has also rated. Based on the similarity values, a subgroup of users is selected that is then used to provide recommendations to the first user.
    Type: Grant
    Filed: April 30, 1997
    Date of Patent: August 4, 1998
    Assignee: Athenium L.L.C.
    Inventor: Gary B. Robinson