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).
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Patent number: 12095909Abstract: 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: GrantFiled: September 30, 2019Date of Patent: September 17, 2024Assignee: Amazon Technologies, Inc.Inventors: Matthew J. Campagna, Jin Peng, Jason Wrang
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Publication number: 20240298573Abstract: 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: ApplicationFiled: March 11, 2024Publication date: September 12, 2024Applicant: FYTO, Inc.Inventors: Valerie Peng, Joseph Adamson, Eric Schneider, Jason Prapas
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Publication number: 20240262058Abstract: 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: ApplicationFiled: December 26, 2023Publication date: August 8, 2024Inventors: 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
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Publication number: 20240249458Abstract: 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: ApplicationFiled: August 3, 2023Publication date: July 25, 2024Inventors: Chen Tessler, Gal Chechik, Yoni Kasten, Shie Mannor, Jason Peng
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Publication number: 20240161377Abstract: 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: ApplicationFiled: March 31, 2023Publication date: May 16, 2024Applicant: NVIDIA CorporationInventors: Zhengyi Luo, Jason Peng, Sanja Fidler, Or Litany, Davis Winston Rempe, Ye Yuan
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Publication number: 20240135618Abstract: 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: ApplicationFiled: May 23, 2023Publication date: April 25, 2024Applicant: NVIDIA CorporationInventors: Haotian Zhang, Ye Yuan, Jason Peng, Viktor Makoviichuk, Sanja Fidler
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Patent number: 6859508Abstract: 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: GrantFiled: September 28, 2000Date of Patent: February 22, 2005Assignee: NEC Electronics America, Inc.Inventors: Tetsu Koyama, Jason Peng, Paul E. Cohen
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Patent number: 6490545Abstract: 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: GrantFiled: March 6, 2000Date of Patent: December 3, 2002Assignees: Sony Corporation, Sony Electronics Inc.Inventor: Jason Peng
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Patent number: 6269117Abstract: 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: GrantFiled: June 29, 1998Date of Patent: July 31, 2001Assignees: Sony Corporation, Sony Electronics Inc.Inventor: Jason Peng
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Patent number: 6205429Abstract: 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: GrantFiled: August 20, 1998Date of Patent: March 20, 2001Assignees: Sony Corporation, Sony Electronics Inc.Inventor: Jason Peng
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Patent number: 6128011Abstract: 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: GrantFiled: August 31, 1998Date of Patent: October 3, 2000Assignees: Sony Corporation of Japan, Sony Electronics, Inc.Inventor: Jason Peng