Patents by Inventor Shabaz Basheer Patel

Shabaz Basheer Patel 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).

  • METHOD AND SYSTEM FOR AN END-TO-END ARTIFICIAL INTELLIGENCE WORKFLOW
    Publication number: 20210158219
    Abstract: In general, certain embodiments of the present disclosure provide methods and systems for enabling a reproducible processing of machine learning models and scalable deployment on a distributed network. The method comprises building a machine learning model; training the machine learning model to produce a plurality of versions of the machine learning model; tracking the plurality of versions of the machine learning model to produce a change facilitator tool; sharing the change facilitator tool to one or more devices such that each device can reproduce the plurality of versions of the machine learning model; and generating a deployable version of the machine learning model through repeated training.
    Type: Application
    Filed: February 1, 2021
    Publication date: May 27, 2021
    Applicant: Lotus AI, LLC
    Inventors: Shabaz Basheer Patel, Anand Kiran Sampat
  • Method and system for an end-to-end artificial intelligence workflow
    Patent number: 10936969
    Abstract: In general, certain embodiments of the present disclosure provide methods and systems for enabling a reproducible processing of machine learning models and scalable deployment on a distributed network. The method comprises building a machine learning model; training the machine learning model to produce a plurality of versions of the machine learning model; tracking the plurality of versions of the machine learning model to produce a change facilitator tool; sharing the change facilitator tool to one or more devices such that each device can reproduce the plurality of versions of the machine learning model; and generating a deployable version of the machine learning model through repeated training.
    Type: Grant
    Filed: September 26, 2017
    Date of Patent: March 2, 2021
    Inventor: Shabaz Basheer Patel
  • METHOD AND SYSTEM FOR AN END-TO-END ARTIFICIAL INTELLIGENCE WORKFLOW
    Publication number: 20180089593
    Abstract: In general, certain embodiments of the present disclosure provide methods and systems for enabling a reproducible processing of machine learning models and scalable deployment on a distributed network. The method comprises building a machine learning model; training the machine learning model to produce a plurality of versions of the machine learning model; tracking the plurality of versions of the machine learning model to produce a change facilitator tool; sharing the change facilitator tool to one or more devices such that each device can reproduce the plurality of versions of the machine learning model; and generating a deployable version of the machine learning model through repeated training.
    Type: Application
    Filed: September 26, 2017
    Publication date: March 29, 2018
    Applicant: Acusense Technologies, Inc.
    Inventors: Shabaz Basheer Patel, Anand Kiran Sampat