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    Pronunciation features for language models
    31.
    发明授权
    Pronunciation features for language models 有权

    公开(公告)号：US12266350B1

    公开(公告)日：2025-04-01

    申请号：US17583812

    申请日：2022-01-25

    Applicant: Nvidia Corporation

    Inventor： Siddha Ganju ,  Ruthie Lyle ,  Steven Dalton

    IPC: G10L15/16 ,  G10L13/08 ,  G10L15/02

    Abstract: Systems and methods are directed toward evaluating auditory inputs against a range of tolerance to provide feedback regarding pronunciation. An auditory input may be evaluated using a trained machine learning system and evaluated for similarity against a target word. Similarity may be scored and then evaluated to determine whether the similarity falls within a range of tolerance, wherein the range of tolerance may be adjusted or modified for particular uses. A score within the range of tolerance is indicative of a word that has been pronounced such that it would be perceptible.

    ADAPTIVE QUANTIZATION FOR VIDEO PIPELINES IN AUTOMOTIVE SYSTEMS AND APPLICATIONS
    32.
    发明申请
    ADAPTIVE QUANTIZATION FOR VIDEO PIPELINES IN AUTOMOTIVE SYSTEMS AND APPLICATIONS 有权

    公开(公告)号：US20250106399A1

    公开(公告)日：2025-03-27

    申请号：US18472505

    申请日：2023-09-22

    Applicant: NVIDIA Corporation

    Inventor： Rongrong Zhou

    IPC: H04N19/124 ,  G06T1/00 ,  G06V10/60 ,  G06V10/74 ,  H04N19/132

    Abstract: In various examples, visual differences between video data and an encoded version of the video data are used to determine updates to quantization parameters (QPs) used to encode the video data to store or upload video clips that corresponds to notable events associated with a machine. The video data may correspond to images applied to a machine learning model to perform control operations for the machine. A metric may be used to quantify the visual differences. To evaluate the visual differences, samples of the video data and encoded video data may be determined and analyzed, rather than entire images or frames. To selectively enable updates to QPs, the system may detect that a deviation between a bitrate corresponding to the encoded data and a reference bitrate has exceeded a threshold.

    OPTICAL LINK ARCHITECTURE
    34.
    发明申请
    OPTICAL LINK ARCHITECTURE 有权

    公开(公告)号：US20250105920A1

    公开(公告)日：2025-03-27

    申请号：US18474698

    申请日：2023-09-26

    Applicant: NVIDIA Corporation

    Inventor： Benjamin Giles Lee ,  Meer Nazmus Sakib

    IPC: H04B10/40 ,  H04B10/80 ,  H04J14/02

    Abstract: An optical apparatus, with an optical interconnect, the optical interconnect including a first optical transceiver having a first notch filter, the first notch filter including first and second optical add drop multiplexer demultiplexers connected to receive a continuous wave light beam and send a first and second filtered wavelengths to first and second resonant modulators which send first and send modulated optical signals through a light propagation path. The second filtered wavelength is different from the first filtered wavelength, and the second modulated optical signal has a polarity that is orthogonal to a polarity of the first modulated optical signal. Methods of communicating using the apparatus and an optical filter for use in an optical transceiver are also disclosed.

    LOW LATENCY SYNCHRONIZATION OF VIDEO RENDERING PIPELINES WITH HIGH REFRESH RATES
    35.
    发明申请
    LOW LATENCY SYNCHRONIZATION OF VIDEO RENDERING PIPELINES WITH HIGH REFRESH RATES 有权

    公开(公告)号：US20250104670A1

    公开(公告)日：2025-03-27

    申请号：US18373748

    申请日：2023-09-27

    Applicant: NVIDIA Corporation

    Inventor： Viktor Grigoryevich Vandanov ,  Rouslan Lyubomirov Dimitrov ,  Seth Schneider

    IPC: G09G5/395

    Abstract: Disclosed are apparatuses, systems, and techniques that reduce latency of frame processing pipelines. The techniques include but are not limited to causing a display to set a refresh rate that matches a frame rendering rate of an application and rendering, with the frame rendering rate, a plurality of frames. Rendering frames includes generating, using a first processing unit, sets of instructions associated with respective frames and generated starting at times spaced with the refresh rate, processing, using a second processing unit, the sets of instructions to render the frames, and causing the display to display the rendered frames.

    QUANTIZING AUTOENCODERS IN A NEURAL NETWORK
    37.
    发明申请
    QUANTIZING AUTOENCODERS IN A NEURAL NETWORK 有权

    公开(公告)号：US20250103049A1

    公开(公告)日：2025-03-27

    申请号：US18654351

    申请日：2024-05-03

    Applicant: NVIDIA Corporation

    Inventor： Jon Hasselgren ,  Jacob Munkberg

    IPC: G05D1/00 ,  G05B13/02 ,  G05D1/227 ,  G05D1/249 ,  G06N3/02 ,  G06N3/04 ,  G06N3/043 ,  G06N3/045 ,  G06N3/088

    Abstract: The performance of a neural network is improved by applying quantization to data at various points in the network. In an embodiment, a neural network includes two paths. A quantization is applied to each path, such that when an output from each path is combined, further quantization is not required. In an embodiment, the neural network is an autoencoder that includes at least one skip connection. In an embodiment, the system determines a set of quantization parameters based on the characteristics of the data in the primary path and in the skip connection, such that both network paths produce output data in the same fixed point format. As a result, the data from both network paths can be combined without requiring an additional quantization.

    COMPUTING MODULES WITH HYBRID THERMAL MANAGEMENT
    38.
    发明申请
    COMPUTING MODULES WITH HYBRID THERMAL MANAGEMENT 有权

    公开(公告)号：US20250098108A1

    公开(公告)日：2025-03-20

    申请号：US18369917

    申请日：2023-09-19

    Applicant: NVIDIA CORPORATION

    Inventor： Tahir Cader ,  David Copeland ,  Elad Mentovich

    IPC: H05K7/20 ,  G06F1/20

    Abstract: Devices, apparatuses, systems, and methods are provided for hybrid thermal management in computing modules. An example computing module includes a first computing component having a first operating temperature and a second computing component having a second operating temperature. The first operating temperature is greater than the second operating temperature. The example computing module further includes a hybrid thermal management system including a cooling delivery device configured to receive a cooling fluid. The cooling delivery device defines a first section configured to dissipate heat generated by the first computing component and a second section configured to dissipate heat generated by the second computing component. The first section of the cooling delivery device may be fluidically isolated from the second section of the cooling delivery device or the second section may be in fluid communication with the first section.

    COMPRESSION OF MACHINE LEARNING MODELS VIA SPARSIFICATION AND QUANTIZATION
    39.
    发明申请
    COMPRESSION OF MACHINE LEARNING MODELS VIA SPARSIFICATION AND QUANTIZATION 有权

    公开(公告)号：US20250094864A1

    公开(公告)日：2025-03-20

    申请号：US18602951

    申请日：2024-03-12

    Applicant: NVIDIA Corporation

    Inventor： Po-An Tsai ,  Geonhwa Jeong ,  Jeffrey Michael Pool

    IPC: G06N20/00

    Abstract: Machine learning is a process that learns a model from a given dataset, where the model can then be used to make a prediction about new data. In order to reduce the size, computation, and latency of a machine learning model, a compression technique can be employed which includes model sparsification and quantization. To limit the extent to which the quality of the model is impacted when uniformly applying sparsification and quantization to all values of the model, the present disclosure provides for a hybrid sparsification and quantization of the model.

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