Patents by Inventor Thomas Graham

Thomas Graham 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: 12332479
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Grant
    Filed: March 15, 2024
    Date of Patent: June 17, 2025
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Patent number: 12322018
    Abstract: Using latent space manipulation and neural animation to generate hyperreal synthetic faces is described. A machine learning model(s) may be trained to generate a synthetic face of a subject featured in unaltered video content based at least in part on video data of an actor making a mouth-generated sound or a three-dimensional (3D) model of a face of the subject that has been animated in accordance with the mouth-generated sound. Latent space manipulation and neural animation may be used with the trained machine learning model(s) to generate instances of the synthetic face, and the instances of the synthetic face can be used to create altered video content featuring the subject with the synthetic face making the mouth-generated sound.
    Type: Grant
    Filed: December 27, 2022
    Date of Patent: June 3, 2025
    Assignee: Metaphysic Limited
    Inventors: Chris Ume, Jo Plaete, Martin Adams, Thomas Graham
  • Patent number: 12251485
    Abstract: A modular anti-microbial aerosol atmospheric effect delivery system includes an air compressor, a haze solution reservoir, and an artificial snow solution reservoir in a system enclosure and an electronically controlled haze module and artificial snow module mounted above an attendee room. The haze module is connected to the air compressor and the haze solution reservoir by a hose system. The artificial snow module fluidly is connected to the air compressor and the artificial snow solution reservoir by the hose system. The artificial snow solution reservoir contains an artificial snow solution including sodium lauryl sulfate and citric acid. The haze solution reservoir contains a haze solution propylene glycol or tri-ethylene glycol, and at least one anti-microbial component selected from hydrogen peroxide and citric acid.
    Type: Grant
    Filed: January 10, 2022
    Date of Patent: March 18, 2025
    Inventor: Thomas Graham Sturge
  • Publication number: 20250029208
    Abstract: Modifying source data to generate hyperreal synthetic content is described. Source data representing images of a body part of a subject may be modified to obtain training data, such as by modifying the body part in the images and/or by enhancing the images to improve the quality thereof. One or more machine learning models may be trained using the training data to obtain one or more trained machine learning models, and the trained model(s) is used to generate output data representing a synthetic body part based at least in part on input data representing an image featuring the body part of the subject, such as an image featuring the modified body part and/or an enhanced image featuring the body part. The output data is then used to generate media data corresponding to media content featuring the synthetic body part.
    Type: Application
    Filed: July 17, 2023
    Publication date: January 23, 2025
    Inventors: Chris Ume, Jo Plaete, Martin Adams, Thomas Graham
  • Patent number: 12193179
    Abstract: An apparatus comprises an electronic equipment chassis comprising a housing and at least one lid, the housing comprising a control panel with a first set of one or more status indicators. The apparatus also comprises at least one latch configured for securing the at least one lid to the housing, the at least one latch comprising a second set of one or more status indicators. The apparatus further comprises a processing device configured to determine status information for electronic equipment housed in the electronic equipment chassis, the status information characterizing whether at least one of opening and removing the at least one lid is safe to perform at a given time, and controlling, based at least in part on the determined status information, at least one of the first set of indicators and at least one of the second set of indicators.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: January 7, 2025
    Assignee: Dell Products L.P.
    Inventors: Amrita Sidhu Maguire, Yuxin Chen, Zhao Chen, Lizzy Yi Sun, Eric Thomas Graham
  • Patent number: 12124082
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Grant
    Filed: August 24, 2023
    Date of Patent: October 22, 2024
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Patent number: 12124081
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Grant
    Filed: July 21, 2023
    Date of Patent: October 22, 2024
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Publication number: 20240346731
    Abstract: Prompting a trained artificial intelligence (AI) model(s) to output photoreal synthetic content in real-time is described. In some examples, one or more AI models are trained using sequential video frames as training data to obtain one or more trained AI models configured to generate temporally-coherent output data. In an example process, user-provided prompt data representing a prompt provided by a user is received, output data representing synthetic content is generated using the trained AI model(s) based at least in part on the user-provided prompt data, and video content featuring the synthetic content is caused to be displayed on a display based at least in part on the output data. In some examples, the output data is provided to the trained AI model(s) as part of a feedback loop to generate further output data as part of a real-time, iterative prompting system.
    Type: Application
    Filed: October 11, 2023
    Publication date: October 17, 2024
    Inventors: Thomas Graham, Chris Ume, Jo Plaete, Martin Adams
  • Publication number: 20240314106
    Abstract: A first compute server of a distributed cloud computing network receives traffic that is destined for a private application or service running on a server of a customer external of the distributed cloud computing network. That server is connected with the distributed cloud computing network through a network interconnect. One or more policies that are configured for the customer are used to determine whether the traffic is allowed to access the private application or service. The first compute server transmits the traffic to a second compute server of the distributed cloud computing network that has the network interconnect. The second compute server transmits the traffic to the server over the network interconnect using as its source IP address an IP address that is dedicated to the customer.
    Type: Application
    Filed: March 13, 2024
    Publication date: September 19, 2024
    Inventors: David Zachary Tuber, Thomas Graham Arnfeld, Kenneth Johnson, Tom Strickx, Lee Valentine
  • Patent number: 12092867
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Grant
    Filed: December 1, 2023
    Date of Patent: September 17, 2024
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Patent number: 12092866
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Grant
    Filed: August 24, 2023
    Date of Patent: September 17, 2024
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Patent number: 12038604
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Grant
    Filed: December 1, 2023
    Date of Patent: July 16, 2024
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Publication number: 20240219635
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Application
    Filed: March 15, 2024
    Publication date: July 4, 2024
    Applicant: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Publication number: 20240212249
    Abstract: Using latent space manipulation and neural animation to generate hyperreal synthetic faces is described. A machine learning model(s) may be trained to generate a synthetic face of a subject featured in unaltered video content based at least in part on video data of an actor making a mouth-generated sound or a three-dimensional (3D) model of a face of the subject that has been animated in accordance with the mouth-generated sound. Latent space manipulation and neural animation may be used with the trained machine learning model(s) to generate instances of the synthetic face, and the instances of the synthetic face can be used to create altered video content featuring the subject with the synthetic face making the mouth-generated sound.
    Type: Application
    Filed: December 27, 2022
    Publication date: June 27, 2024
    Inventors: Chris Ume, Jo Plaete, Martin Adams, Thomas Graham
  • Patent number: 11958111
    Abstract: An additive manufacturing machine may include a beam source, a process chamber, a beam column operably coupled to the process chamber and/or defining a portion of the process chamber, and a gaseous ionization detector disposed about the beam column. The gaseous ionization detector may be configured to detect elementary particles corresponding to an ionizing gas ionized by an energy beam from the beam source. A method of additively manufacturing a three-dimensional object may include determining data from a gaseous ionization detector disposed about a beam column of an additive manufacturing machine, and additively manufacturing a three-dimensional object using the additive manufacturing machine based at least in part on the data from the gaseous ionization detector.
    Type: Grant
    Filed: February 22, 2021
    Date of Patent: April 16, 2024
    Assignee: General Electric Company
    Inventors: David Alan Bartosik, Thomas Graham Spears
  • Publication number: 20240111094
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Application
    Filed: December 1, 2023
    Publication date: April 4, 2024
    Applicant: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Publication number: 20240103219
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Application
    Filed: December 1, 2023
    Publication date: March 28, 2024
    Applicant: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko
  • Patent number: 11939244
    Abstract: Methods and systems for electrochemical treatment of fertigation water for use and for recycling in agricultural systems such as in controlled environment agricultural systems.
    Type: Grant
    Filed: November 5, 2019
    Date of Patent: March 26, 2024
    Assignee: UNIVERSITY OF GUELPH
    Inventors: Serge Levesque, Thomas Graham, Dorin Bejan, Jamie Lawson, Mike Dixon, Ping Zhang
  • Patent number: 11926106
    Abstract: An additively manufactured component and a method for manufacturing the same are provided. The additively manufactured component includes a cross sectional layer having a surface surrounding the cross sectional layer. The cross sectional layer is formed by moving a focal point of an energy source over a bed of additive material. A surface irregularity is formed on the surface by manipulating the energy level of the energy source. The surface may include a datum feature positioned at a predetermined location relative to the surface irregularity and the surface irregularity may be greater than a surface roughness of the surface but less than one millimeter.
    Type: Grant
    Filed: July 13, 2021
    Date of Patent: March 12, 2024
    Assignee: General Electric Company
    Inventors: Scott Alan Gold, Thomas Graham Spears
  • Patent number: 11860413
    Abstract: Described herein are photonic communication platforms that can overcome the memory bottleneck problem, thereby enabling scaling of memory capacity and bandwidth well beyond what is possible with conventional computing systems. Some embodiments provide photonic communication platforms that involve use of photonic modules. Each photonic module includes programmable photonic circuits for placing the module in optical communication with other modules based on the needs of a particular application. The architecture developed by the inventors relies on the use of common photomask sets (or at least one common photomask) to fabricate multiple photonic modules in a single wafer. Photonic modules in multiple wafers can be linked together into a communication platform using optical or electronic means.
    Type: Grant
    Filed: November 29, 2022
    Date of Patent: January 2, 2024
    Assignee: Lightmatter, Inc.
    Inventors: Nicholas C. Harris, Carl Ramey, Michael Gould, Thomas Graham, Darius Bunandar, Ryan Braid, Mykhailo Tymchenko