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公开(公告)号：US20250070817A1
公开(公告)日：2025-02-27
申请号：US18237649
申请日：2023-08-24
Applicant: NVIDIA Corporation
Inventor： Omer Wolkovitz , Ofek Abadi
Abstract: A system includes a transmission driver coupled to a channel, a capacitor coupled in series to the channel, and a receiver coupled to the channel. The receiver includes a front-end circuit to detect, as data, transitions in voltage over the channel, the front-end circuit including an activation switch. A voltage swing detector is coupled between the channel and the activation switch. The voltage swing detector detects a voltage swing in the voltage that satisfies one of a first threshold value or a second threshold value and causes, in response to the detection, the activation switch to one of open or close, respectively.
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公开(公告)号：US20250068744A1
公开(公告)日：2025-02-27
申请号：US18949551
申请日：2024-11-15
Applicant: NVIDIA Corporation
Inventor： Ravi kumar Boddeti , Vinayak Pore , Hassane Samir Azar , Prashant Sohani
Abstract: In various examples, machine learning of encoding parameter values for a network is performed using a video encoder. Feedback associated with streaming video encoded by a video encoder over a network may be applied to an MLM(s). Using such feedback, the MLM(s) may predict a value(s) of an encoding parameter(s). The video encoder may then use the value to encode subsequent video data for the streaming. By using the video encoder in training, the MLM(s) may learn based on actual encoded parameter values of the video encoder. The MLM(s) may be trained via reinforcement learning based on video encoded by the video encoder. A rewards metric(s) may be used to train the MLM(s) using data generated or applied to the physical network in which the MLM(s) is to be deployed and/or a simulation thereof. Penalty metric(s) (e.g., the quantity of dropped frames) may also be used to train the MLM(s).
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公开(公告)号：US20250068501A1
公开(公告)日：2025-02-27
申请号：US18454518
申请日：2023-08-23
Applicant: NVIDIA Corporation
Inventor： Sai Ram Dheeraj LOKAM , Moslem DIDEHBAN , Frank NOHA , Kevin RICH , Richard BRAMLEY
Abstract: The present disclosure relates to collapsing a set of conditions during failure modes effects and diagnostic analysis. The set of conditions may include potential problems and issues corresponding to one or more system components included in a system. A mapping between individual conditions of the set of conditions and one or more system classes corresponding to one or more system level effects may be obtained. One or more collapsing instructions including one or more of the system components or one or more of the system classes of interest may be obtained. A subset of conditions, including one or more of the individual conditions, may be identified from the set of conditions based at least on the collapsing instructions. The set of conditions may be collapsed, and the subset of conditions may be un-collapsed for analysis.
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公开(公告)号：US20250068421A1
公开(公告)日：2025-02-27
申请号：US18908678
申请日：2024-10-07
Applicant: NVIDIA Corporation
Inventor： Maciej Piotr TYRLIK , Ajay Sudarshan TIRUMALA , Shirish GADRE , Frank Joseph EATON , Daniel Alan STIFFLER
Abstract: Various techniques for accelerating dynamic programming algorithms are provided. For example, a fused addition and comparison instruction, a three-operand comparison instruction, and a two-operand comparison instruction are used to accelerate a Needleman-Wunsch algorithm that determines an optimized global alignment of subsequences over two entire sequences. In another example, the fused addition and comparison instruction is used in an innermost loop of a Floyd-Warshall algorithm to reduce the number of instructions required to determine shortest paths between pairs of vertices in a graph. In another example, a two-way single instruction multiple data (SIMD) floating point variant of the three-operand comparison instruction is used to reduce the number of instructions required to determine the median of an array of floating point values.
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公开(公告)号：US20250065920A1
公开(公告)日：2025-02-27
申请号：US18942363
申请日：2024-11-08
Applicant: NVIDIA Corporation
Inventor： Gary HICOK , Michael COX , Miguel SAINZ , Martin HEMPEL , Ratin KUMAR , Timo ROMAN , Gordon GRIGOR , David NISTER , Justin EBERT , Chin-Hsien SHIH , Tony TAM , Ruchi BHARGAVA
Abstract: A system and method for an on-demand shuttle, bus, or taxi service able to operate on private and public roads provides situational awareness and confidence displays. The shuttle may include ISO 26262 Level 4 or Level 5 functionality and can vary the route dynamically on-demand, and/or follow a predefined route or virtual rail. The shuttle is able to stop at any predetermined station along the route. The system allows passengers to request rides and interact with the system via a variety of interfaces, including without limitation a mobile device, desktop computer, or kiosks. Each shuttle preferably includes an in-vehicle controller, which preferably is an AI Supercomputer designed and optimized for autonomous vehicle functionality, with computer vision, deep learning, and real time ray tracing accelerators. An AI Dispatcher performs AI simulations to optimize system performance according to operator-specified system parameters.
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Patent Agency Ranking
公开(公告)号：US12238271B2
公开(公告)日：2025-02-25
申请号：US18195831
申请日：2023-05-10
Applicant: NVIDIA Corporation
Inventor： Sean Midthun Pieper , Robin Brian Jenkin
Abstract: In one embodiment, a system receives pixel data from a pair of regions of an image generated by an imaging device, the pair of regions includes a first region and a second region, where the first region includes a first plurality of pixels and the second region includes a second plurality of pixels. The system determines a plurality of pixel pairs, where a pixel pair includes a first pixel from the first plurality of pixels and a second pixel from the second plurality of pixels. The system calculates a plurality of contrasts based on the plurality of pixel pairs. The system determines a contrast distribution based on the plurality of contrasts. The system calculates a value representative of a capability of the imaging device to detect contrast based on the contrast distribution. The system determines a reduction in contrast detectability of the imaging device based on the value.
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公开(公告)号：US12236564B2
公开(公告)日：2025-02-25
申请号：US17308663
申请日：2021-05-05
Applicant: NVIDIA Corporation
Inventor： Yining Deng , Eric Dujardin , Sean Midthun Pieper , Minwoo Park
Abstract: In various examples, apparatuses, systems, and techniques to perform offline image signal processing of source image data to generate target image data. In at least one embodiment, data collection using exposure and calibration setting of an image sensor is performed to generate source image data, which is then processed by using offline image signal processing to generate target data.
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公开(公告)号：US20250061634A1
公开(公告)日：2025-02-20
申请号：US18457251
申请日：2023-08-28
Applicant: Nvidia Corporation
Inventor： Zhengyu Huang , Rui Zhang , Tao Li , Yingying Zhong , Weihua Zhang , Junjie Lai , Yeongho Seol , Dmitry Korobchenko , Simon Yuen
Abstract: Systems and methods of the present disclosure include animating virtual avatars or agents according to input audio and one or more selected or determined emotions and/or styles. For example, a deep neural network can be trained to output motion or deformation information for a character that is representative of the character uttering speech contained in audio input. The character can have different facial components or regions (e.g., head, skin, eyes, tongue) modeled separately, such that the network can output motion or deformation information for each of these different facial components. During training, the network can use a transformer-based audio encoder with locked parameters to train an associated decoder using a weighted feature vector. The network output can be provided to a renderer to generate audio-driven facial animation that is emotion-accurate.
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公开(公告)号：US20250061340A1
公开(公告)日：2025-02-20
申请号：US18235273
申请日：2023-08-17
Applicant: NVIDIA Corporation
Inventor： Sharath Turuvekere Sreenivas , Daniel Korzekwa
Abstract: Apparatuses, systems, and techniques to train neural networks. In at least one embodiment, a first neural network is trained to match accuracy of a second neural network independently of outputs of the second neural network based on, for example, a third neural network that generates weights for the first neural network.
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公开(公告)号：US20250058802A1
公开(公告)日：2025-02-20
申请号：US18366202
申请日：2023-08-07
Applicant: NVIDIA Corporation
Inventor： Yuxiao Chen , Sushant Veer , Peter Karkus , Marco Pavone
IPC: B60W60/00
Abstract: In various examples, a gradient-based motion planner evaluates a cost function corresponding to routes for a machine and an obstacle to jointly update the routes. The cost function may include terms to penalize deviation from an initial route predicted for the obstacle and acceleration or jerk for the obstacle. The routes for the machine and the obstacle that are updated may be selected using motion classes that characterize relative motion between a route for the machine and a route for the obstacle. A motion class may be based at least on an angular distance between the machine and the agent and free-end homotopy, where members of the class execute the same relative motion with respect to other agents while being continuously transformable to any other member of the class. The members of the class may have the same start point and different end points.
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