Patents by Inventor Jason Peng

Jason Peng 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: 12095909
    Abstract: A customer of a computing resource provider is associated with a key provided by a key management system. When the key is generated, a value is generated and encrypted with the key. In response to a detection of a trigger to re-encrypt the customer's key, the encrypted value is used to verify validity of the re-encrypted customer's key before committing it to storage and made available for use.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: September 17, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Matthew J. Campagna, Jin Peng, Jason Wrang
  • Publication number: 20240298573
    Abstract: A system for computer-assisted harvesting includes and/or interfaces with: a set of sensors and optionally any or all of: a set of computing and/or processing subsystems (e.g., computers, processors, etc.); a harvesting subsystem (equivalently referred to herein as a harvesting robot); and/or any other components. A method for computer-assisted harvesting can include any or all of: sampling a set of sensors; determining a set of metrics associated with a harvesting region; aggregating the set of metrics; assessing the harvesting region; and triggering an action.
    Type: Application
    Filed: March 11, 2024
    Publication date: September 12, 2024
    Applicant: FYTO, Inc.
    Inventors: Valerie Peng, Joseph Adamson, Eric Schneider, Jason Prapas
  • Publication number: 20240262058
    Abstract: A method of manufacturing a meniscus lens includes providing an optical lens substrate having a non-planar deposition surface and depositing a resinous layer over the deposition surface to form the lens. Such a printed lens may have a radius of curvature of less than approximately 80 mm, sag of from approximately 2 mm to approximately 20 mm, a maximum thickness of less than approximately 40 mm, and a minimum thickness variation of at least approximately 2 mm.
    Type: Application
    Filed: December 26, 2023
    Publication date: August 8, 2024
    Inventors: Rongzhi Huang, Nan Zhu, Jordy Rooijakkers, Daniel Puskas, Brent Bollman, Anqi Ji, Jason Lozo, Alexander Sohn, Marvin Dion Alim, Sho Nakahara, Kurt Jenkins, Keyuan Huang, Fang Peng, Hanqing Zhao, Yu Li, Weiyao Li, Amir Ryan Zamiri, Terence Johnson Lop Shie Chan, Yoshitaka Sato
  • Publication number: 20240249458
    Abstract: A conditional adversarial latent model (CALM) process can be used to generate reference motions from a set of original reference movements to create a library of new movements for an agent. The agent can be a virtual representation various types of characters, animals, or objects. The CALM process can receive a set of reference movements and a requested movement. An encoder can be used to map the requested movement onto a latent space. A low-level policy can be employed to produce a series of latent space joint movements for the agent. A conditional discriminator can be used to provide feedback to the low-level policy to produce stationary distributions over the states of the agent. A high-level policy can be employed to provide a macro movement control over the low-level policy movements, such as providing direction in the environment. The high-level policy can utilize a reward or a finite-state machine function.
    Type: Application
    Filed: August 3, 2023
    Publication date: July 25, 2024
    Inventors: Chen Tessler, Gal Chechik, Yoni Kasten, Shie Mannor, Jason Peng
  • Publication number: 20240161377
    Abstract: In various examples, systems and methods are disclosed relating to generating a simulated environment and update a machine learning model to move each of a plurality of human characters having a plurality of body shapes, to follow a corresponding trajectory within the simulated environment as conditioned on a respective body shape. The simulated human characters can have diverse characteristics (such as gender, body proportions, body shape, and so on) as observed in real-life crowds. A machine learning model can determine an action for a human character in a simulated environment, based at least on a humanoid state, a body shape, and task-related features. The task-related features can include an environmental feature and a trajectory.
    Type: Application
    Filed: March 31, 2023
    Publication date: May 16, 2024
    Applicant: NVIDIA Corporation
    Inventors: Zhengyi Luo, Jason Peng, Sanja Fidler, Or Litany, Davis Winston Rempe, Ye Yuan
  • Publication number: 20240135618
    Abstract: In various examples, artificial intelligence (AI) agents can be generated to synthesize more natural motion by simulated actors in various visualizations (such as video games or simulations). AI agents may employ one or more machine learning models and techniques, such as reinforcement learning, to enable synthesis of motion with enhanced realism. The AI agent can be trained based on widely-available broadcast video data, without the need for more costly and limited motion capture data. To account for the lower quality of such video data, various techniques can be employed, such as taking into account the motion of joints, and applying physics-based constraints on the actors, resulting in higher quality, more lifelike motion.
    Type: Application
    Filed: May 23, 2023
    Publication date: April 25, 2024
    Applicant: NVIDIA Corporation
    Inventors: Haotian Zhang, Ye Yuan, Jason Peng, Viktor Makoviichuk, Sanja Fidler
  • Patent number: 6859508
    Abstract: A multidimensional equalizer and cross talk canceller for a communication network that simultaneously removes far end cross talk NEXT) and intersymbol interference (ISI) from a received signal. A multidimensional-pair channel is treated as a single multidimensional channel and a receiver in the communication network equalizes received signals through the use of the multidimensional equalizer. A decision feedback equalizer determines a multidimensional steepest descent gradient to adjust matrix coefficients.
    Type: Grant
    Filed: September 28, 2000
    Date of Patent: February 22, 2005
    Assignee: NEC Electronics America, Inc.
    Inventors: Tetsu Koyama, Jason Peng, Paul E. Cohen
  • Patent number: 6490545
    Abstract: A simulation system is provided for simulating behavior of a device for implementing an algorithm using a software model and a hardware model which are converted to a common programming language and mathematical notation. The simulation system uses the same input user interface for the software model and the hardware model. Further, the simulation system uses the same output user interface for generating the simulation results for both the software model and the hardware model in the common programming language and mathematical notation, thereby allowing a user to easily verify and analyze the software and hardware simulation results for optimization of the device.
    Type: Grant
    Filed: March 6, 2000
    Date of Patent: December 3, 2002
    Assignees: Sony Corporation, Sony Electronics Inc.
    Inventor: Jason Peng
  • Patent number: 6269117
    Abstract: A system comprises an enhanced downsampling operation for digital data. In the preferred embodiment, a downsampling filter has a quantity of filter coefficients equal to 4(a)+1, where (a) is an integer. In this case the even-numbered coefficients are, to the degree of accuracy required, equal to zero. Also the central even-numbered coefficient is equal to ½. As multiplication by ½ in a binary digital system may be executed by a simple right shift, the total number of coefficient-sample multiplications may be reduced to 2(a). The filter design wherein the even-numbered coefficients equal zero also has the additional benefit of reducing the number of storage locations for the filter coefficients. A further aspect of the present invention is the segregation of the input data stream into even and odd-numbered sample buffers.
    Type: Grant
    Filed: June 29, 1998
    Date of Patent: July 31, 2001
    Assignees: Sony Corporation, Sony Electronics Inc.
    Inventor: Jason Peng
  • Patent number: 6205429
    Abstract: A system and method to manipulate information in an audio decoder, the system having a demultiplexer to separate the information into packets of audio data and packet parameters, a control manager for controlling the packet parameters, and an audio decoder to manipulate the packets of audio data in response to the packet parameters. The invention also includes a control processor for passing host parameters to the control manager and a digital-to-analog converter to convert the audio information from a digital signal to an analog signal.
    Type: Grant
    Filed: August 20, 1998
    Date of Patent: March 20, 2001
    Assignees: Sony Corporation, Sony Electronics Inc.
    Inventor: Jason Peng
  • Patent number: 6128011
    Abstract: A platform-independent software-implemented digital signal processing system in a computer system. The digital signal processing system is comprised of a digital signal processing unit implemented in C program code which receives data and applies a process to generate therefrom a computer file representative of a processed response. The digital signal processing system also is comprised of a graphical user interface implemented in Java program code, which generates two-dimensional graphic images and text on the computer system's user output device, and is for receiving user-selected process parameters and for displaying the results of the processed response. In addition, the digital signal processing system is comprised of an interface code which provides communication between the graphical user interface and the digital signal processing unit.
    Type: Grant
    Filed: August 31, 1998
    Date of Patent: October 3, 2000
    Assignees: Sony Corporation of Japan, Sony Electronics, Inc.
    Inventor: Jason Peng