Patents by Inventor Ziyi Zhu

Ziyi Zhu 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: 20240339040
    Abstract: A digital instrument tutorial system is introduced herein, which enables the authoring and provision of augmented reality (AR) tutorials for operating digital instruments. The digital instrument tutorial system provides an automated authoring workflow for users (e.g., an expert user and/or author) to create sequential AR tutorials for digital instruments by intuitive embodied demonstration. The digital instrument tutorial system advantageously utilizes a multimodal approach that combines finger pressure and gesture tracking to translate the author's operations into AR visualizations. Aside from recording a tutorial for a task, the digital instrument tutorial system also provides an access mode, in which the AR tutorial is provided to a novice user.
    Type: Application
    Filed: March 25, 2024
    Publication date: October 10, 2024
    Inventors: Karthik Ramani, Zhengzhe Zhu, Ziyi Liu
  • Publication number: 20240290089
    Abstract: A method for extracting forest parameters of a wetland with high canopy density based on a consumer-grade unmanned aerial vehicle (UAV) image is provided, which belongs to the technical field of wetland forest investigation. The method includes: collecting image data using a consumer-grade UAV; processing the collected UAV image, and generating a digital surface model and a digital orthophoto map; performing land use classification based on a UAV DOM image; obtaining a canopy height model with an accurate elevation based on classification of different land types of the wetland, and obtaining an accurate tree height and a tree number by means of a neighborhood extraction tool through the canopy height model; and obtaining an accurate canopy range by means of a multi-foreground marker watershed algorithm based on image filtering.
    Type: Application
    Filed: November 9, 2023
    Publication date: August 29, 2024
    Inventors: Jianyu CHEN, Haibo HU, Weibo SHI, Ziyi ZHU
  • Patent number: 12073180
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Grant
    Filed: April 17, 2023
    Date of Patent: August 27, 2024
    Assignee: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED
    Inventors: William Tunstall-Pedoe, Robert Heywood, Seth Warren, Paul Benn, Duncan Reynolds, Ayush Shah, Luci Krnic, Ziyi Zhu
  • Publication number: 20240281601
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Application
    Filed: April 29, 2024
    Publication date: August 22, 2024
    Inventors: William TUNSTALL-PEDOE, Robert HEYWOOD, Seth WARREN, Paul BENN, Duncan REYNOLDS, Ayush SHAH, Luci KRNIC, Ziyi ZHU
  • Patent number: 12067362
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Grant
    Filed: April 17, 2023
    Date of Patent: August 20, 2024
    Assignee: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED
    Inventors: William Tunstall-Pedoe, Robert Heywood, Seth Warren, Paul Benn, Duncan Reynolds, Ayush Shah, Luci Krnic, Ziyi Zhu
  • Patent number: 12008333
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Grant
    Filed: November 21, 2023
    Date of Patent: June 11, 2024
    Assignee: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED
    Inventors: William Tunstall-Pedoe, Robert Heywood, Seth Warren, Paul Benn, Duncan Reynolds, Ayush Shah, Luci Krnic, Ziyi Zhu
  • Patent number: 11989527
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Grant
    Filed: April 17, 2023
    Date of Patent: May 21, 2024
    Assignee: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED
    Inventors: William Tunstall-Pedoe, Robert Heywood, Seth Warren, Paul Benn, Duncan Reynolds, Ayush Shah, Luci Krnic, Ziyi Zhu
  • Patent number: 11989507
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Grant
    Filed: April 17, 2023
    Date of Patent: May 21, 2024
    Assignee: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED
    Inventors: William Tunstall-Pedoe, Robert Heywood, Seth Warren, Paul Benn, Duncan Reynolds, Ayush Shah, Luci Krnic, Ziyi Zhu
  • Patent number: 11977854
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Grant
    Filed: April 17, 2023
    Date of Patent: May 7, 2024
    Assignee: UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED
    Inventors: William Tunstall-Pedoe, Robert Heywood, Seth Warren, Paul Benn, Duncan Reynolds, Ayush Shah, Luci Krnic, Ziyi Zhu
  • Publication number: 20240095468
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Application
    Filed: November 21, 2023
    Publication date: March 21, 2024
    Inventors: William TUNSTALL-PEDOE, Robert HEYWOOD, Seth WARREN, Paul BENN, Duncan REYNOLDS, Ayush SHAH, Luci KRNIC, Ziyi ZHU
  • Publication number: 20230316006
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Application
    Filed: April 17, 2023
    Publication date: October 5, 2023
    Inventors: William TUNSTALL-PEDOE, Robert HEYWOOD, Seth WARREN, Paul DARIAS, Duncan REYNOLDS, Ayush SHAH, Luci KRNIC, Ziyi ZHU
  • Publication number: 20230274094
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Application
    Filed: April 17, 2023
    Publication date: August 31, 2023
    Inventors: William TUNSTALL-PEDOE, Robert HEYWOOD, Seth WARREN, Paul DARIAS, Duncan REYNOLDS, Ayush SHAH, Luci KRNIC, Ziyi ZHU
  • Publication number: 20230274086
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Application
    Filed: April 17, 2023
    Publication date: August 31, 2023
    Inventors: William TUNSTALL-PEDOE, Robert HEYWOOD, Seth WARREN, Paul DARIAS, Duncan REYNOLDS, Ayush SHAH, Luci KRNIC, Ziyi ZHU
  • Publication number: 20230274089
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Application
    Filed: April 17, 2023
    Publication date: August 31, 2023
    Inventors: William TUNSTALL-PEDOE, Robert HEYWOOD, Seth WARREN, Paul DARIAS, Duncan REYNOLDS, Ayush SHAH, Luci KRNIC, Ziyi ZHU
  • Publication number: 20230259705
    Abstract: Methods are provided, such as a method of interacting with a large language model (LLM), including the step of a processing system using a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, to provide new context data for the LLM, in order to improve the output, such as continuation text output, generated by the LLM in response to a prompt; and such as a method of interacting with a LLM, including the step of providing continuation data generated by the LLM to a processing system that uses a structured, machine-readable representation of data that conforms to a machine-readable language, such as a universal language, in which the processing system is configured to analyse the continuation output generated by the LLM in response to a prompt to enable an improved version of that continuation output to be provided to a user. Related computer systems are provided.
    Type: Application
    Filed: April 17, 2023
    Publication date: August 17, 2023
    Inventors: William TUNSTALL-PEDOE, Robert HEYWOOD, Seth WARREN, Paul DARIAS, Duncan REYNOLDS, Ayush SHAH, Luci KRNIC, Ziyi ZHU
  • Patent number: 11709097
    Abstract: An apparatus measures the transverse profile of vectorial optical field beams, including both the phase and the polarization spatial profile. The apparatus contains a polarization separation module, a weak perturbation module, and a detection module. Characterizing the transverse profile of vector fields provides an optical metrology tool for both fundamental studies of vectorial optical fields and a wide spectrum of applications, including microscopy, surveillance, imaging, communication, material processing, and laser trapping.
    Type: Grant
    Filed: July 19, 2021
    Date of Patent: July 25, 2023
    Assignee: University of South Florida
    Inventors: Zhimin Shi, Darrick Hay, Ziyi Zhu, Yiyu Zhou, Robert W. Boyd
  • Publication number: 20220011163
    Abstract: An apparatus measures the transverse profile of vectorial optical field beams, including both the phase and the polarization spatial profile. The apparatus contains a polarization separation module, a weak perturbation module, and a detection module. Characterizing the transverse profile of vector fields provides an optical metrology tool for both fundamental studies of vectorial optical fields and a wide spectrum of applications, including microscopy, surveillance, imaging, communication, material processing, and laser trapping.
    Type: Application
    Filed: July 19, 2021
    Publication date: January 13, 2022
    Applicants: The University of Rochester, University of South Florida
    Inventors: Zhimin Shi, Darrick Hay, Ziyi Zhu, Yiyu Zhou, Robert W. Boyd
  • Patent number: 11067450
    Abstract: An apparatus measures the transverse profile of vectorial optical field beams, including both the phase and the polarization spatial profile. The apparatus contains a polarization separation module, a weak perturbation module, and a detection module. Characterizing the transverse profile of vector fields provides an optical metrology tool for both fundamental studies of vectorial optical fields and a wide spectrum of applications, including microscopy, surveillance, imaging, communication, material processing, and laser trapping.
    Type: Grant
    Filed: May 6, 2019
    Date of Patent: July 20, 2021
    Assignee: University of South Florida
    Inventors: Zhimin Shi, Darrick Hay, Ziyi Zhu, Yiyu Zhou, Robert W. Boyd
  • Patent number: D1037681
    Type: Grant
    Filed: December 6, 2023
    Date of Patent: August 6, 2024
    Inventors: Qiaoduo Zhu, Ziyi Long
  • Patent number: D1041208
    Type: Grant
    Filed: May 20, 2024
    Date of Patent: September 10, 2024
    Assignee: HK LOST HORIZON INTERNATIONAL ELECTRONIC COMMERCE LIMITED
    Inventors: Ziyi Long, Qiaoduo Zhu