Patents by Inventor Jason Mars

Jason Mars 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).

  • Patent number: 11876731
    Abstract: Systems and methods for mapping applications onto system resource of a computing platform are discussed. The computing platform may receive, using control circuitry, a request to run a plurality of applications on a computing platform having a plurality of system resources. The computing platform may determine a plurality of mapping configurations for the plurality of applications onto the plurality of system resources. The computing platform may execute the plurality of applications with each of the plurality of mapping configurations. The computing platform may determine at least one performance metric based on the executed plurality of applications for each of the plurality of mapping configurations. The computing platform may select a selected mapping configuration among the plurality of mapping configurations based on at least one determined performance metric.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: January 16, 2024
    Assignee: Google LLC
    Inventors: Lingjia Tang, Jason Mars, Robert Hundt
  • Patent number: 11738444
    Abstract: An example storage chest is provided. The example storage chest may include a box portion and a lid. The box portion may include a front wall, a rear wall, and a floor attached to the front and rear walls to form a primary compartment for storage of items. The lid may include a front panel, a rear panel, and a top panel attached to the front a rear panels. The rear panel may be pivotably coupled to the rear wall of the box portion. The front panel, the rear panel, and the top panel may define a secondary compartment within the lid for storage of items. The secondary compartment may include a lid storage compartment comprising a hingedly affixed door.
    Type: Grant
    Filed: April 7, 2022
    Date of Patent: August 29, 2023
    Assignee: APEX BRANDS, INC.
    Inventors: Richard A. Samsel, Jonathan Eziquiel-Shriro, Matthew Poppe, Jason Mars, Michael Taber
  • Publication number: 20230027078
    Abstract: A system and method for implementing a machine learning-based virtual dialogue agent includes computing an input embedding based on receiving a user input; computing, via a pre-trained machine learning language model, an embedding response inference based on the input embedding; searching, based on the embedding response inference, a response imprintation embedding space that includes a plurality of distinct embedding representations of potential text-based responses to the user input, wherein each of the plurality of distinct embedding representations is tethered to a distinct human-imprinted media response, and searching the response imprintation embedding space includes: searching the response imprintation embedding space based on an embedding search query, and returning a target embedding representation from the response imprintation embedding space based on the searching of the response imprintation embedding space; and executing, via a user interface of the machine learning-based virtual dialogue agent,
    Type: Application
    Filed: June 24, 2022
    Publication date: January 26, 2023
    Inventors: Eldon Marks, Jason Mars
  • Patent number: 11550831
    Abstract: A system and method for implementing a machine learning-based virtual dialogue agent includes computing an input embedding based on receiving a user input; computing, via a pre-trained machine learning language model, an embedding response inference based on the input embedding; searching, based on the embedding response inference, a response imprintation embedding space that includes a plurality of distinct embedding representations of potential text-based responses to the user input, wherein each of the plurality of distinct embedding representations is tethered to a distinct human-imprinted media response, and searching the response imprintation embedding space includes: searching the response imprintation embedding space based on an embedding search query, and returning a target embedding representation from the response imprintation embedding space based on the searching of the response imprintation embedding space; and executing, via a user interface of the machine learning-based virtual dialogue agent,
    Type: Grant
    Filed: June 24, 2022
    Date of Patent: January 10, 2023
    Assignee: TrueSelph, Inc.
    Inventors: Eldon Marks, Jason Mars
  • Patent number: 11501086
    Abstract: System and method of building a zero-shot training, machine learning-based virtual dialogue agent includes identifying a response corpus comprising a plurality of distinct response samples; providing the response corpus to a virtual agent generator; generating, by one or more pre-trained machine learning language models, a distinct embeddings inference for each of the plurality of distinct response samples; forming an embeddings-based architecture for response generation based on the distinct embeddings inference for each of the plurality of distinct response samples, wherein the embeddings-based architecture includes a mapping of the distinct embeddings inference for each of the plurality of distinct response samples to an n-dimensional space; instantiating a virtual dialogue agent based on receiving user stimuli; and computing, using the embeddings-based architecture, a response inference to the user stimuli, wherein the computed response inference is based on identifying one distinct embeddings inference o
    Type: Grant
    Filed: April 3, 2022
    Date of Patent: November 15, 2022
    Assignee: ZeroShotBot, Inc.
    Inventor: Jason Mars
  • Patent number: 11481597
    Abstract: A system and method of configuring a graphical control structure for controlling a machine learning-based automated dialogue system includes configuring a root dialogue classification node that performs a dialogue intent classification task for utterance data input; configuring a plurality of distinct dialogue state classification nodes that are arranged downstream of the root dialogue classification node; configuring a graphical edge connection between the root dialogue classification node and the plurality of distinct state dialogue classification nodes that graphically connects each of the plurality of distinct state dialogue classification nodes to the root dialogue classification node, wherein (i) the root dialogue classification node, (ii) the plurality of distinct classification nodes, (iii) and the transition edge connections define a graphical dialogue system control structure that governs an active dialogue between a user and the machine learning-based automated dialogue system.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: October 25, 2022
    Assignee: Clinc, Inc.
    Inventors: Parker Hill, Jason Mars, Lingjia Tang, Michael A. Laurenzano, Johann Hauswald, Yiping Kang, Yunqi Zhang
  • Publication number: 20220318518
    Abstract: System and method of building a zero-shot training, machine learning-based virtual dialogue agent includes identifying a response corpus comprising a plurality of distinct response samples; providing the response corpus to a virtual agent generator; generating, by one or more pre-trained machine learning language models, a distinct embeddings inference for each of the plurality of distinct response samples; forming an embeddings-based architecture for response generation based on the distinct embeddings inference for each of the plurality of distinct response samples, wherein the embeddings-based architecture includes a mapping of the distinct embeddings inference for each of the plurality of distinct response samples to an n-dimensional space; instantiating a virtual dialogue agent based on receiving user stimuli; and computing, using the embeddings-based architecture, a response inference to the user stimuli, wherein the computed response inference is based on identifying one distinct embeddings inference o
    Type: Application
    Filed: April 3, 2022
    Publication date: October 6, 2022
    Inventor: Jason Mars
  • Publication number: 20220241956
    Abstract: An example storage chest is provided. The example storage chest may include a box portion and a lid. The box portion may include a front wall, a rear wall, and a floor attached to the front and rear walls to form a primary compartment for storage of items. The lid may include a front panel, a rear panel, and a top panel attached to the front a rear panels. The rear panel may be pivotably coupled to the rear wall of the box portion. The front panel, the rear panel, and the top panel may define a secondary compartment within the lid for storage of items. The secondary compartment may include a lid storage compartment comprising a hingedly affixed door.
    Type: Application
    Filed: April 7, 2022
    Publication date: August 4, 2022
    Inventors: Richard A. Samsel, Jonathan Eziquiel-Shriro, Matthew Poppe, Jason Mars, Michael Taber
  • Patent number: 11318599
    Abstract: An example storage chest is provided. The example storage chest may include a box portion and a lid. The box portion may include a front wall, a rear wall, and a floor attached to the front and rear walls to form a primary compartment for storage of items. The lid may include a front panel, a rear panel, and a top panel attached to the front a rear panels. The rear panel may be pivotably coupled to the rear wall of the box portion. The front panel, the rear panel, and the top panel may define a secondary compartment within the lid for storage of items. The secondary compartment may include a lid storage compartment comprising a hingedly affixed door.
    Type: Grant
    Filed: August 22, 2019
    Date of Patent: May 3, 2022
    Assignee: Apex Brands, Inc.
    Inventors: Richard A. Samsel, Jonathan Eziquiel-Shriro, Matthew Poppe, Jason Mars, Michael Taber
  • Publication number: 20210256345
    Abstract: Systems and methods for implementing an artificially intelligent virtual assistant includes collecting a user query; using a competency classification machine learning model to generate a competency label for the user query; using a slot identification machine learning model to segment the text of the query and label each of the slots of the query; generating a slot value for each of the slots of the query; generating a handler for each of the slot values; and using the slot values to: identify an external data source relevant to the user query, fetch user data from the external data source, and apply one or more operations to the query to generate response data; and using the response data, to generate a response to the user query.
    Type: Application
    Filed: April 15, 2021
    Publication date: August 19, 2021
    Inventors: Jason Mars, Lingjia Tang, Michael Laurenzano, Johann Hauswald
  • Publication number: 20210244182
    Abstract: A flammable liquid storage cabinet may include a base portion, two opposing sidewalls extending substantially perpendicularly upward from the base portion, a rear wall extending substantially perpendicularly upward from the base portion between respective ends of the sidewalls, a top portion disposed opposite the base portion to cover a top of the sidewalls and the rear wall and define a receiving space in the storage cabinet for receiving a flammable liquid container, and a door assembly disposed opposite the rear wall.
    Type: Application
    Filed: September 4, 2019
    Publication date: August 12, 2021
    Inventors: Michael Taber, Jason Mars, William Tyer
  • Publication number: 20210241066
    Abstract: A system and method of configuring a graphical control structure for controlling a machine learning-based automated dialogue system includes configuring a root dialogue classification node that performs a dialogue intent classification task for utterance data input; configuring a plurality of distinct dialogue state classification nodes that are arranged downstream of the root dialogue classification node; configuring a graphical edge connection between the root dialogue classification node and the plurality of distinct state dialogue classification nodes that graphically connects each of the plurality of distinct state dialogue classification nodes to the root dialogue classification node, wherein (i) the root dialogue classification node, (ii) the plurality of distinct classification nodes, (iii) and the transition edge connections define a graphical dialogue system control structure that governs an active dialogue between a user and the machine learning-based automated dialogue system.
    Type: Application
    Filed: January 15, 2021
    Publication date: August 5, 2021
    Inventors: Parker Hill, Jason Mars, Lingjia Tang, Michael A. Laurenzano, Johann Hauswald, Yiping Kang, Yunqi Zhang
  • Publication number: 20210193127
    Abstract: Systems and methods for building a response for a machine learning-based dialogue agent includes implementing machine learning classifiers that predict slot segments of the utterance data based on an input of the utterance data; predict a slot classification label for each of the slot segments of the utterance data; computing a semantic vector value for each of the slot segments of the utterance data; assessing the semantic vector value of the slot segments of the utterance data against a multi-dimensional vector space of structured categories of dialogue, wherein the assessment includes: for each of a distinct structured categories of dialogue computing a similarity metric value; selecting one structured category of dialogue from the distinct structured categories of dialogue based on the computed similarity metric value for each of distinct structured categories; and producing a response to the utterance data.
    Type: Application
    Filed: January 26, 2021
    Publication date: June 24, 2021
    Inventors: Yiping Kang, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
  • Patent number: 11042800
    Abstract: Systems and methods for implementing an artificially intelligent virtual assistant includes collecting a user query; using a competency classification machine learning model to generate a competency label for the user query; using a slot identification machine learning model to segment the text of the query and label each of the slots of the query; generating a slot value for each of the slots of the query; generating a handler for each of the slot values; and using the slot values to: identify an external data source relevant to the user query, fetch user data from the external data source, and apply one or more operations to the query to generate response data; and using the response data, to generate a response to the user query.
    Type: Grant
    Filed: January 15, 2020
    Date of Patent: June 22, 2021
    Assignee: Cline, Inc.
    Inventors: Jason Mars, Lingjia Tang, Michael Laurenzano, Johann Hauswald, Parker Hill
  • Publication number: 20210166138
    Abstract: Systems and methods for automatically detecting annotation discrepancies in annotated training data samples and repairing the annotated training data samples for a machine learning-based automated dialogue system include evaluating a corpus of a plurality of distinct training data samples; identifying one or more of a slot span defect and a slot label defect of a target annotated slot span of a target training data sample of the corpus based on the evaluation; and automatically correcting one or more annotations of the target annotated slot span based on the identified one or more of the slot span defect and the slot label defect.
    Type: Application
    Filed: January 15, 2021
    Publication date: June 3, 2021
    Inventors: Stefan Larson, Anish Mahendran, Parker Hill, Jonathan K. Kummerfeld, Michael A. Laurenzano, Lingjia Tang, Jason Mars
  • Patent number: 11010656
    Abstract: Systems and methods for implementing an artificially intelligent virtual assistant includes collecting a user query; using a competency classification machine learning model to generate a competency label for the user query; using a slot identification machine learning model to segment the text of the query and label each of the slots of the query; generating a slot value for each of the slots of the query; generating a handler for each of the slot values; and using the slot values to: identify an external data source relevant to the user query, fetch user data from the external data source, and apply one or more operations to the query to generate response data; and using the response data, to generate a response to the user query.
    Type: Grant
    Filed: October 30, 2017
    Date of Patent: May 18, 2021
    Assignee: Clinc, Inc.
    Inventors: Jason Mars, Lingjia Tang, Michael Laurenzano, Johann Hauswald
  • Patent number: 10936936
    Abstract: A system and method of configuring a graphical control structure for controlling a machine learning-based automated dialogue system includes configuring a root dialogue classification node that performs a dialogue intent classification task for utterance data input; configuring a plurality of distinct dialogue state classification nodes that are arranged downstream of the root dialogue classification node; configuring a graphical edge connection between the root dialogue classification node and the plurality of distinct state dialogue classification nodes that graphically connects each of the plurality of distinct state dialogue classification nodes to the root dialogue classification node, wherein (i) the root dialogue classification node, (ii) the plurality of distinct classification nodes, (iii) and the transition edge connections define a graphical dialogue system control structure that governs an active dialogue between a user and the machine learning-based automated dialogue system.
    Type: Grant
    Filed: November 13, 2019
    Date of Patent: March 2, 2021
    Assignee: Clinc, Inc.
    Inventors: Parker Hill, Jason Mars, Lingjia Tang, Michael A. Laurenzano, Johann Hauswald, Yiping Kang, Yunqi Zhang
  • Patent number: 10937417
    Abstract: Systems and methods for building a response for a machine learning-based dialogue agent includes implementing machine learning classifiers that predict slot segments of the utterance data based on an input of the utterance data; predict a slot classification label for each of the slot segments of the utterance data; computing a semantic vector value for each of the slot segments of the utterance data; assessing the semantic vector value of the slot segments of the utterance data against a multi-dimensional vector space of structured categories of dialogue, wherein the assessment includes: for each of a distinct structured categories of dialogue computing a similarity metric value; selecting one structured category of dialogue from the distinct structured categories of dialogue based on the computed similarity metric value for each of distinct structured categories; and producing a response to the utterance data.
    Type: Grant
    Filed: May 18, 2020
    Date of Patent: March 2, 2021
    Assignee: Clinc, Inc.
    Inventors: Yiping Kang, Michael A. Laurenzano, Johann Hauswald, Lingjia Tang, Jason Mars
  • Patent number: 10929761
    Abstract: Systems and methods for automatically detecting annotation discrepancies in annotated training data samples and repairing the annotated training data samples for a machine learning-based automated dialogue system include evaluating a corpus of a plurality of distinct training data samples; identifying one or more of a slot span defect and a slot label defect of a target annotated slot span of a target training data sample of the corpus based on the evaluation; and automatically correcting one or more annotations of the target annotated slot span based on the identified one or more of the slot span defect and the slot label defect.
    Type: Grant
    Filed: June 8, 2020
    Date of Patent: February 23, 2021
    Assignee: Clinic, Inc.
    Inventors: Stefan Larson, Anish Mahendran, Parker Hill, Jonathan K. Kummerfeld, Michael A. Laurenzano, Lingjia Tang, Jason Mars
  • Patent number: D914365
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: March 30, 2021
    Assignee: APEX BRANDS, INC.
    Inventors: Richard A. Samsel, Jonathan Eziquiel-Shriro, Matthew Poppe, Jason Mars, Michael Taber