Patents by Inventor Jonathan Ho
Jonathan Ho 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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Patent number: 11999372Abstract: The subject matter described in this specification is directed to a computer system and techniques for operating an autonomous vehicle (AV) based on the availability of navigation information. In one example, while the AV is in an autonomous mode, first data is obtained from a first sensor and second data is obtained from a second sensor. A location of the AV is determined based on the first data and the second data. If navigational information is not available for the determined location, an alert is provided that the AV will exit the autonomous mode.Type: GrantFiled: August 31, 2020Date of Patent: June 4, 2024Assignee: Motional Ad LLCInventors: Jong Ho Lee, Rahul Ahluwalia, Jonathan Wieskamp
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Patent number: 11978141Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. In one aspect, a method includes: receiving an input text prompt including a sequence of text tokens in a natural language; processing the input text prompt using a text encoder neural network to generate a set of contextual embeddings of the input text prompt; and processing the contextual embeddings through a sequence of generative neural networks to generate a final output image that depicts a scene that is described by the input text prompt.Type: GrantFiled: May 19, 2023Date of Patent: May 7, 2024Assignee: Google LLCInventors: Chitwan Saharia, William Chan, Mohammad Norouzi, Saurabh Saxena, Yi Li, Jay Ha Whang, David James Fleet, Jonathan Ho
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Method and Apparatus for Supporting User Interactions with Non-Designated Locations on a Digital Map
Publication number: 20240086040Abstract: A mapping system allows a user to interact with any location on a digital map and present the user with location related information associated with the selected location. The location related information may be in the form or a card, pop-up, image, or other graphic and may be displayed on the map at or near the selected location, around the map, etc. The displayed location related information may include predetermined or pre-stored data about the location or may include location related information collected and generated on the fly in response to the user interaction with the digital map. The displayed location related information may be displayed in the same graphical format on the digital map regardless of whether location related information is predetermined information about the location that already exists or information that is collected and generated on the fly in response to the user interaction.Type: ApplicationFiled: October 5, 2023Publication date: March 14, 2024Inventors: Kelvin Ho, Jonah Jones, Yatin Chawathe, Bernhard Seefeld, Paul Merrell, Alirez Ali, Jonathan Siegel, Daniel Otero, Su Chuin Leong -
Patent number: 11918535Abstract: Systems and methods for a powered, robotic exoskeleton, or exosuit, for a user's limbs and body are provided. The exosuit may be equipped with airbag devices mounted at various locations on the suit. The exosuit may include on-board computing equipment that can sense, compute control commands in real-time, and actuate limbs and airbags to restore stability (fall prevention) and minimize injuries due to falls, should they happen (fall protection).Type: GrantFiled: April 13, 2020Date of Patent: March 5, 2024Assignee: TOYOTA RESEARCH INSTITUTE, INC.Inventors: Jonathan Decastro, Soon Ho Kong, Nikos Arechiga Gonzalez, Frank Permenter, Dennis Park
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Publication number: 20240065398Abstract: A case for a portable electronic device that includes a rigid outer layer and a more flexible inner layer is disclosed herein. The case is a single piece case. The outer layer has openings that extend through the thickness of the outer layer. The openings are connected by a groove in the outer layer. The openings and the groove may be filled by a more flexible material. The inner layer has openings. The outer layer is translucent so that the inner layer may be visible through the outer layer.Type: ApplicationFiled: November 7, 2023Publication date: February 29, 2024Applicant: Onward Brands LLCInventors: Jonathan Brown, Steven Corraliza, Eric James Hostetler, William Ho
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Patent number: 11908180Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium. In one aspect, a method includes receiving a text prompt describing a scene; processing the text prompt using a text encoder neural network to generate a contextual embedding of the text prompt; and processing the contextual embedding using a sequence of generative neural networks to generate a final video depicting the scene.Type: GrantFiled: March 24, 2023Date of Patent: February 20, 2024Assignee: Google LLCInventors: Jonathan Ho, William Chan, Chitwan Saharia, Jay Ha Whang, Tim Salimans
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Publication number: 20230385990Abstract: A method includes receiving, by a computing device, training data comprising a plurality of pairs of images, wherein each pair comprises an image and at least one corresponding target version of the image. The method also includes training a neural network based on the training data to predict an enhanced version of an input image, wherein the training of the neural network comprises applying a forward Gaussian diffusion process that adds Gaussian noise to the at least one corresponding target version of each of the plurality of pairs of images to enable iterative denoising of the input image, wherein the iterative denoising is based on a reverse Markov chain associated with the forward Gaussian diffusion process. The method additionally includes outputting the trained neural network.Type: ApplicationFiled: July 27, 2023Publication date: November 30, 2023Inventors: Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David Fleet, Mohammad Norouzi
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Publication number: 20230377226Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. In one aspect, a method includes: receiving an input text prompt including a sequence of text tokens in a natural language; processing the input text prompt using a text encoder neural network to generate a set of contextual embeddings of the input text prompt; and processing the contextual embeddings through a sequence of generative neural networks to generate a final output image that depicts a scene that is described by the input text prompt.Type: ApplicationFiled: May 19, 2023Publication date: November 23, 2023Inventors: Chitwan Saharia, William Chan, Mohammad Norouzi, Saurabh Saxena, Yi Li, Jay Ha Whang, David James Fleet, Jonathan Ho
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Patent number: 11769228Abstract: A method includes receiving, by a computing device, training data comprising a plurality of pairs of images, wherein each pair comprises an image and at least one corresponding target version of the image. The method also includes training a neural network based on the training data to predict an enhanced version of an input image, wherein the training of the neural network comprises applying a forward Gaussian diffusion process that adds Gaussian noise to the at least one corresponding target version of each of the plurality of pairs of images to enable iterative denoising of the input image, wherein the iterative denoising is based on a reverse Markov chain associated with the forward Gaussian diffusion process. The method additionally includes outputting the trained neural network.Type: GrantFiled: August 2, 2021Date of Patent: September 26, 2023Assignee: Google LLCInventors: Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David Fleet, Mohammad Norouzi
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Patent number: 11756166Abstract: A method includes receiving, by a computing device, training data comprising a plurality of pairs of images, wherein each pair comprises an image and at least one corresponding target version of the image. The method also includes training a neural network based on the training data to predict an enhanced version of an input image, wherein the training of the neural network comprises applying a forward Gaussian diffusion process that adds Gaussian noise to the at least one corresponding target version of each of the plurality of pairs of images to enable iterative denoising of the input image, wherein the iterative denoising is based on a reverse Markov chain associated with the forward Gaussian diffusion process. The method additionally includes outputting the trained neural network.Type: GrantFiled: January 17, 2023Date of Patent: September 12, 2023Assignee: Google LLCInventors: Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David Fleet, Mohammad Norouzi
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Publication number: 20230153959Abstract: A method includes receiving, by a computing device, training data comprising a plurality of pairs of images, wherein each pair comprises an image and at least one corresponding target version of the image. The method also includes training a neural network based on the training data to predict an enhanced version of an input image, wherein the training of the neural network comprises applying a forward Gaussian diffusion process that adds Gaussian noise to the at least one corresponding target version of each of the plurality of pairs of images to enable iterative denoising of the input image, wherein the iterative denoising is based on a reverse Markov chain associated with the forward Gaussian diffusion process. The method additionally includes outputting the trained neural network.Type: ApplicationFiled: January 17, 2023Publication date: May 18, 2023Inventors: Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David Fleet, Mohammad Norouzi
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Publication number: 20230103638Abstract: A method includes receiving training data comprising a plurality of pairs of images. Each pair comprises a noisy image and a denoised version of the noisy image. The method also includes training a multi-task diffusion model to perform a plurality of image-to-image translation tasks, wherein the training comprises iteratively generating a forward diffusion process by predicting, at each iteration in a sequence of iterations and based on a current noisy estimate of the denoised version of the noisy image, noise data for a next noisy estimate of the denoised version of the noisy image, updating, at each iteration, the current noisy estimate to the next noisy estimate by combining the current noisy estimate with the predicted noise data, and determining a reverse diffusion process by inverting the forward diffusion process to predict the denoised version of the noisy image. The method additionally includes providing the trained diffusion model.Type: ApplicationFiled: October 5, 2022Publication date: April 6, 2023Inventors: Chitwan Saharia, Mohammad Norouzi, William Chan, Huiwen Chang, David James Fleet, Christopher Albert Lee, Jonathan Ho, Tim Salimans
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Publication number: 20230067841Abstract: A method includes receiving, by a computing device, training data comprising a plurality of pairs of images, wherein each pair comprises an image and at least one corresponding target version of the image. The method also includes training a neural network based on the training data to predict an enhanced version of an input image, wherein the training of the neural network comprises applying a forward Gaussian diffusion process that adds Gaussian noise to the at least one corresponding target version of each of the plurality of pairs of images to enable iterative denoising of the input image, wherein the iterative denoising is based on a reverse Markov chain associated with the forward Gaussian diffusion process. The method additionally includes outputting the trained neural network.Type: ApplicationFiled: August 2, 2021Publication date: March 2, 2023Inventors: Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David Fleet, Mohammad Norouzi
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Patent number: 9506841Abstract: A tissue slicer system that includes a tissue slicing mold capable of producing very thin (e.g., on the order of 3 mm) and uniform slices to be captured from whole, fresh tissue specimens, notably breast lumpectomies, while minimizing distortion. These thin, uniform whole-specimen slices of the fresh surgical specimen increase the area of tissue available for inspection, reduce the amount of tissue lost in trimming during microtomy, and permit tissue processing for producing whole-mount sections.Type: GrantFiled: February 18, 2015Date of Patent: November 29, 2016Assignee: Sunnybrook Research InstituteInventors: Gina Clarke, Jonathan Ho, Gordon E. Mawdsley, David R. Green, Martin Yaffe
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Patent number: D1016783Type: GrantFiled: May 10, 2023Date of Patent: March 5, 2024Assignee: Apple Inc.Inventors: Jody Akana, Molly Anderson, Bartley K. Andre, Shota Aoyagi, Anthony Michael Ashcroft, Marine C. Bataille, Jeremy Bataillou, Abidur Rahman Chowdhury, Clara Geneviève Marine Courtaigne, Markus Diebel, Jonathan Gomez Garcia, M. Evans Hankey, Richard P. Howarth, Jonathan P. Ive, Julian Jaede, Duncan Robert Kerr, Peter Russell-Clarke, Benjamin Andrew Shaffer, Sung-Ho Tan, Clement Tissandier, Eugene Antony Whang
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Patent number: D1018548Type: GrantFiled: November 28, 2022Date of Patent: March 19, 2024Assignee: Apple Inc.Inventors: Jody Akana, Molly Anderson, Bartley K. Andre, Shota Aoyagi, Anthony Michael Ashcroft, Marine C. Bataille, Jeremy Bataillou, Adam T. Clavelle, Erik Geddes Pieter De Jong, Markus Diebel, M. Evans Hankey, Julian Hoenig, Richard P. Howarth, Jonathan P. Ive, Julian Jaede, Duncan Robert Kerr, Martin Melcher, Peter Russell-Clarke, Benjamin Andrew Shaffer, Mikael Silvanto, Sung-Ho Tan, Clement Tissandier, Eugene Antony Whang, Rico Zörkendörfer
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Patent number: D1018549Type: GrantFiled: July 13, 2023Date of Patent: March 19, 2024Assignee: Apple Inc.Inventors: Jody Akana, Molly Anderson, Bartley K. Andre, Shota Aoyagi, Anthony Michael Ashcroft, Marine C. Bataille, Jeremy Bataillou, Markus Diebel, M. Evans Hankey, Julian Hoenig, Richard P. Howarth, Jonathan P. Ive, Julian Jaede, Duncan Robert Kerr, Peter Russell-Clarke, Benjamin Andrew Shaffer, Mikael Silvanto, Sung-Ho Tan, Clement Tissandier, Eugene Antony Whang, Rico Zörkendörfer
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Patent number: D1023009Type: GrantFiled: May 10, 2022Date of Patent: April 16, 2024Assignee: Apple Inc.Inventors: Jody Akana, Molly Anderson, Bartley K. Andre, Shota Aoyagi, Anthony Michael Ashcroft, John J. Baker, Marine C. Bataille, Jeremy Bataillou, Abidur Rahman Chowdhury, Clara Geneviève Marine Courtaigne, Markus Diebel, Richard Hung Minh Dinh, Christopher E. Glazowski, Jonathan Gomez Garcia, Jean-Pierre S. Guillou, M. Evans Hankey, Matthew David Hill, Julian Hoenig, Richard P. Howarth, Jonathan P. Ive, Julian Jaede, Duncan Robert Kerr, Peter Russell-Clarke, Benjamin Andrew Shaffer, Sung-Ho Tan, Clement Tissandier, Eugene Antony Whang, Rico Zörkendörfer
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Patent number: D1025075Type: GrantFiled: July 11, 2022Date of Patent: April 30, 2024Assignee: Apple Inc.Inventors: Jody Akana, Molly Anderson, Bartley K. Andre, Shota Aoyagi, Anthony Michael Ashcroft, Marine C. Bataille, Jeremy Bataillou, Eric Wesley Bates, Mu-Hua Cheng, Sawyer Isaac Cohen, Markus Diebel, Richard Hung Minh Dinh, M. Evans Hankey, Julian Hoenig, Richard P. Howarth, Jonathan P. Ive, Julian Jaede, Hugh J. Jay, Duncan Robert Kerr, Peter Russell-Clarke, Benjamin Andrew Shaffer, Mikael Silvanto, Sung-Ho Tan, Clement Tissandier, Eugene Antony Whang, Rico Zörkendörfer
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Patent number: D1026902Type: GrantFiled: August 5, 2022Date of Patent: May 14, 2024Assignee: Apple Inc.Inventors: Jody Akana, Molly Anderson, Bartley K. Andre, Shota Aoyagi, Anthony Michael Ashcroft, Marine C. Bataille, Jeremy Bataillou, Abidur Rahman Chowdhury, Clara Geneviève Marine Courtaigne, Markus Diebel, Jonathan Gomez Garcia, M. Evans Hankey, Richard P. Howarth, Jonathan P. Ive, Julian Jaede, Duncan Robert Kerr, Peter Russell-Clarke, Benjamin Andrew Shaffer, Mikael Silvanto, Sung-Ho Tan, Clement Tissandier, Eugene Antony Whang