Patents by Inventor Evan Lin
Evan Lin 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).
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Publication number: 20250278379Abstract: Cable designs and methods are provided herein to enable remote end access to active cable controllers for monitoring and upgrade operations. These designs and methods enable a firmware update method that includes: downloading firmware from a host to a local controller in a local end connector of a cable, the local controller storing the firmware in a local memory; transferring a copy of the firmware via an internal channel from the local controller to a remote controller in a remote end connector of the cable, the remote controller storing the firmware in a remote memory in the remote end connector; and configuring the local controller and the remote controller to each boot from the firmware when the cable is restarted.Type: ApplicationFiled: August 23, 2024Publication date: September 4, 2025Applicant: Credo Technology Group LimitedInventors: HAOLI QIAN, EVAN LIN, SHENG HUANG, DONALD BARNETSON
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Publication number: 20250021748Abstract: Methods and apparatus to facilitate annotation projects to extract structured information from free-form text using NLP techniques. Annotators explore text documents via automated preannotation functions, flexibly formulate annotation schemes and guidelines, annotate text, and adjust annotation labels, schemes and guidelines in real-time as a project evolves. NLP models are readily trained on iterative annotations of sample documents by domain experts in an active learning workflow. Trained models are then employed to automatically annotate a larger body of documents in a project dataset. Experts in a variety of domains can readily develop an annotation project for a specific use-case or business question. In one example, documents relating to the health care domain are effectively annotated and employed to train sophisticated NLP models that provide valuable insights regarding many facets of health care.Type: ApplicationFiled: May 17, 2024Publication date: January 16, 2025Applicant: PAREXEL International ,LLCInventors: Christopher Potts, Evan Lin, Andrew Maas, Abhilash Itharaju, Kevin Reschke, Jordan Vincent
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Patent number: 12105659Abstract: Cable designs and methods are provided herein to enable remote end access to active cable controllers for monitoring and upgrade operations. One illustrative network cable design includes: a first end connector configured to couple with a first host port and a second end connector configured to couple with a second host port, each of the first and second end connectors configured to convey a data stream in each direction via optical or electrical conductors connected between the first and second end connectors; a controller and a powered transceiver circuit included in the first end connector, the controller operable to configure operation of the powered transceiver circuit; and electrical contacts in the second end connector for a management bus to convey information from the second host port to the controller in the first end connector.Type: GrantFiled: June 2, 2022Date of Patent: October 1, 2024Assignee: Credo Technology Group LimitedInventors: Haoli Qian, Evan Lin, Sheng Huang, Donald Barnetson
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Patent number: 12014135Abstract: Methods and apparatus to facilitate annotation projects to extract structured information from free-form text using NLP techniques. Annotators explore text documents via automated preannotation functions, flexibly formulate annotation schemes and guidelines, annotate text, and adjust annotation labels, schemes and guidelines in real-time as a project evolves. NLP models are readily trained on iterative annotations of sample documents by domain experts in an active learning workflow. Trained models are then employed to automatically annotate a larger body of documents in a project dataset. Experts in a variety of domains can readily develop an annotation project for a specific use-case or business question. In one example, documents relating to the health care domain are effectively annotated and employed to train sophisticated NLP models that provide valuable insights regarding many facets of health care.Type: GrantFiled: January 18, 2022Date of Patent: June 18, 2024Assignee: PAREXEL International, LLCInventors: Christopher Potts, Evan Lin, Andrew Maas, Abhilash Itharaju, Kevin Reschke, Jordan Vincent
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Publication number: 20230394003Abstract: Cable designs and methods are provided herein to enable remote end access to active cable controllers for monitoring and upgrade operations. One illustrative network cable design includes: a first end connector configured to couple with a first host port and a second end connector configured to couple with a second host port, each of the first and second end connectors configured to convey a data stream in each direction via optical or electrical conductors connected between the first and second end connectors; a controller and a powered transceiver circuit included in the first end connector, the controller operable to configure operation of the powered transceiver circuit; and electrical contacts in the second end connector for a management bus to convey information from the second host port to the controller in the first end connector.Type: ApplicationFiled: June 2, 2022Publication date: December 7, 2023Applicant: CREDO TECHNOLOGY GROUP LTDInventors: Haoli Qian, EVAN LIN, Sheng Huang, Donald Barnetson
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Publication number: 20220253594Abstract: Methods and apparatus to facilitate annotation projects to extract structured information from free-form text using NLP techniques. Annotators explore text documents via automated preannotation functions, flexibly formulate annotation schemes and guidelines, annotate text, and adjust annotation labels, schemes and guidelines in real-time as a project evolves. NLP models are readily trained on iterative annotations of sample documents by domain experts in an active learning workflow. Trained models are then employed to automatically annotate a larger body of documents in a project dataset. Experts in a variety of domains can readily develop an annotation project for a specific use-case or business question. In one example, documents relating to the health care domain are effectively annotated and employed to train sophisticated NLP models that provide valuable insights regarding many facets of health care.Type: ApplicationFiled: January 18, 2022Publication date: August 11, 2022Applicant: PAREXEL International, LLCInventors: Christopher Potts, Evan Lin, Andrew Maas, Abhilash Itharaju, Kevin Reschke, Jordan Vincent
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Patent number: 11263391Abstract: Methods and apparatus to facilitate annotation projects to extract structured information from free-form text using NLP techniques. Annotators explore text documents via automated preannotation functions, flexibly formulate annotation schemes and guidelines, annotate text, and adjust annotation labels, schemes and guidelines in real-time as a project evolves. NLP models are readily trained on iterative annotations of sample documents by domain experts in an active learning workflow. Trained models are then employed to automatically annotate a larger body of documents in a project dataset. Experts in a variety of domains can readily develop an annotation project for a specific use-case or business question. In one example, documents relating to the health care domain are effectively annotated and employed to train sophisticated NLP models that provide valuable insights regarding many facets of health care.Type: GrantFiled: March 11, 2020Date of Patent: March 1, 2022Assignee: PAREXEL International, LLCInventors: Christopher Potts, Evan Lin, Andrew Maas, Abhilash Itharaju, Kevin Reschke, Jordan Vincent