Patents by Inventor James B. Robinson

James 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: 20210110111
    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: May 26, 2020
    Publication date: April 15, 2021
    Applicant: Singapore Biotech PTE. LTD.
    Inventors: Schulyer D. Erle, Robert J. Munro, Brendan D. Callahan, Gary C. King, Jason Brenier, James B. Robinson
  • 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
  • Publication number: 20190243886
    Abstract: Systems and methods are presented for providing improved machine performance in natural language processing. In some example embodiments, an API module is presented that is configured to drive processing of a system architecture for natural language processing. Aspects of the present disclosure allow for a natural language model to classify documents while other documents are being retrieved in real time. The natural language model and the documents are configured to be stored in a stateless format, which also allows for additional functions to be performed on the documents while the natural language model is used to continue classifying other documents.
    Type: Application
    Filed: September 7, 2018
    Publication date: August 8, 2019
    Applicant: Idibon, Inc.
    Inventors: Schuyler D. Erle, Robert J. Munro, Brendan D. Callahan, Jason Brenier, Paul A. Tepper, Jessica D. Long, James B. Robinson, Aneesh Nair, Michelle Casbon, Stefan Krawczyk
  • Patent number: 10127214
    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: Grant
    Filed: December 9, 2015
    Date of Patent: November 13, 2018
    Assignee: Sansa Al Inc.
    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: 20180137098
    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: November 20, 2017
    Publication date: May 17, 2018
    Applicant: Idibon, Inc.
    Inventors: Schuyler D. Erle, Robert J. Munro, Brendan D. Callahan, Gary C. King, Jason Brenier, James B. Robinson
  • Patent number: 9836450
    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: Grant
    Filed: December 9, 2015
    Date of Patent: December 5, 2017
    Assignee: Sansa AI Inc.
    Inventors: Schuyler D. Erle, Robert J. Munro, Brendan D. Callahan, Gary C. King, Jason Brenier, James B. Robinson
  • Patent number: 9737363
    Abstract: The present disclosure describes a draping system for a two-tiered hospital instrument back table can be used to quickly and conveniently create a sterile field. The system has a drape that is a single piece of material, desirably a film that may be clear. The single piece of material has other material attached to it on its upper side or surface in areas that generally coincide with the two upper surfaces of the table when the drape is installed on the table, and that has a lower coefficient of friction than the single piece of material. The drape may be held in place with a continuous or discontinuous band that encircles the upper tier or the upper tier support posts.
    Type: Grant
    Filed: December 11, 2012
    Date of Patent: August 22, 2017
    Assignee: Avent, Inc.
    Inventors: Ajay Y. Houde, Jeffrey S. Robinson, Jose Luis Coronado, Keith J. Edgett, James B. Robinson, Denise E. O'Connor
  • Publication number: 20160162456
    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: December 9, 2015
    Publication date: June 9, 2016
    Applicant: Idibon, Inc.
    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: 20160162569
    Abstract: Systems and methods are presented for providing improved machine performance in natural language processing. In some example embodiments, an API module is presented that is configured to drive processing of a system architecture for natural language processing. Aspects of the present disclosure allow for a natural language model to classify documents while other documents are being retrieved in real time. The natural language model and the documents are configured to be stored in a stateless format, which also allows for additional functions to be performed on the documents while the natural language model is used to continue classifying other documents.
    Type: Application
    Filed: December 9, 2015
    Publication date: June 9, 2016
    Applicant: Idibon, Inc.
    Inventors: Schuyler D. Erle, Robert J. Munro, Brendan D. Callahan, Jason Brenier, Paul A. Tepper, Jessica D. Long, James B. Robinson, Aneesh Nair, Michelle Casbon, Stefan Krawczyk
  • Publication number: 20160162468
    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: December 9, 2015
    Publication date: June 9, 2016
    Applicant: Idibon, Inc.
    Inventors: Schuyler D. Erle, Robert J. Munro, Brendan D. Callahan, Gary C. King, Jason Brenier, James B. Robinson
  • Publication number: 20140041669
    Abstract: The present disclosure describes a draping system for a two-tiered hospital instrument back table can be used to quickly and conveniently create a sterile field. The system has a drape that is a single piece of material, desirably a film that may be clear. The single piece of material has other material attached to it on its upper side or surface in areas that generally coincide with the two upper surfaces of the table when the drape is installed on the table, and that has a lower coefficient of friction than the single piece of material. The drape may be held in place with a continuous or discontinuous band that encircles the upper tier or the upper tier support posts.
    Type: Application
    Filed: December 11, 2012
    Publication date: February 13, 2014
    Applicant: KIMBERLY-CLARK WORLDWIDE, INC.
    Inventors: Ajay Y. Houde, Jeffrey S. Robinson, Jose Luis Coronado, Keith J. Edgett, James B. Robinson, Denise E. O'Connor
  • Publication number: 20130112589
    Abstract: The present disclosure describes a disposal bag, kit and method for performing pleural drainage that may be used by a patient at home or away from home. The kit for drainage of a body cavity has instruments and supplies needed to drain the body cavity, a disposal bag made from two superposed, water impervious sheets sealed about a substantial portion of their perimeter using a water impervious bond. The bag is usable for disposal of the instruments and supplies after drainage of the body cavity. The superposed sheets also provide a work sheet to prepare and use the instruments and supplies.
    Type: Application
    Filed: November 4, 2011
    Publication date: May 9, 2013
    Inventors: Khoa T. Lien, Henry L. Griesbach, III, James B. Robinson
  • Patent number: 5100269
    Abstract: A cutting insert with improved chip control and metal cutting capabilities and a toolholder with an improved clamping arrangement for use in combination therewith. The insert includes a first notch disposed in the insert body extending from the cutting end to the mounting end thereof. A top wall of the insert body has a forward section with a cutting edge, a middle section with a second notch extending across substantially the entire insert body and a rearward section. In one embodiment, the forward section of the insert body includes a chipbreaker. In another embodiment, the forward portion includes an advanced cutting material which defines a cutting edge. In yet another embodiment of the insert, the insert body top wall forward section defines the cutting edge and the insert body does not include a chipbreaker.
    Type: Grant
    Filed: February 12, 1991
    Date of Patent: March 31, 1992
    Assignee: Kennametal Inc.
    Inventors: James R. Lyon, Gary L. Morsch, Gerald D. Murray, James B. Robinson
  • Patent number: 4946319
    Abstract: A cutting insert with improved chip control and metal cutting capabilities and a toolholder with an improved clamping arrangement for use in combination therewith. The insert includes a first notch disposed in the insert body extending from the cutting end to the mounting end thereof. A top wall of the insert body has a forward section with a cutting edge, a middle section with a second notch extending across substantially the entire insert body and a rearward section. In one embodiment, the forward section of the insert body includes a chipbreaker. In another embodiment, the forward portion includes an advanced cutting material which defines a cutting edge. In yet another embodiment of the insert, the insert body top wall forward section defines the cutting edge and the insert body does not include a chipbreaker.
    Type: Grant
    Filed: August 12, 1988
    Date of Patent: August 7, 1990
    Assignee: Kennametal Inc.
    Inventors: James R. Lyon, Gary L. Morsch, Gerald D. Murray, James B. Robinson