Patent Applications by NVIDIA Corporation on July 3rd, 2025

NVIDIA Corporation: 11 patent applications

NVIDIA Corporation has applied for patents in the areas of B60W50/06 (CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT, 1), G06F3/013 ({Eye tracking input arrangements ( takes precedence)}, 1), G06F11/079 (Responding to the occurrence of a fault, e.g. fault tolerance, 1), G06F11/263 (Generation of test inputs, e.g. test vectors, patterns or sequences {; with adaptation of the tested hardware for testability with external testers}, 1), G06F18/22 (Matching criteria, e.g. proximity measures, 1), G06T1/20 (Processor architectures; Processor configuration, e.g. pipelining, 1), G06V10/7715 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING, 1), G06V20/58 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING, 1), G10L15/183 (SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING, 1), H01F27/363 (MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES (ceramics based on ferrites ; alloys {; construction of loading coils }; loudspeakers, microphones, gramophone pick-ups or like acoustic electromechanical transducers ; thermomagnetic devices ), 1)

With keywords such as: data, machine, example, present, management, disclosure, relates, intelligent, download, stored in patent application abstracts.

Top Inventors:

Russell CHREPTYK of Seattle WA US (1 patents)
Jeffrey LIU of Bellevue WA US (1 patents)
Michael KRON of Redmond WA US (1 patents)
Amir AKBARZADEH of ALAMO CA US (1 patents)
Vaibhav THUKRAL of Bellevue WA US (1 patents)

Patent Applications by NVIDIA Corporation

20250214598. MAP DOWNLOAD STORAGE MANAGEMENT AUTONOMOUS SYSTEMS APPLICATIONS (NVIDIA)

Abstract: the present disclosure relates to intelligent download and management of map data. for example, a machine may use map data stored thereon to perform operations. the map data may be organized according to multiple data layers based at least on different types of map data used by multiple different processes of a processing system of a machine. the different processes may be configured to perform one or more operations associated with a navigation system. a computing system may be configured to cause communication of one or more individual data layers to the processing system based at least on one or more individual prioritizations associated with the one or more individual data layers. the individual prioritizations may be based at least on a timing of processing of the individual data layers by one or more processes that are respectively associated with the individual data layers.

20250216934. GAZE DETERMINATION USING ONE OR MORE NEURAL NETWORKS (NVIDIA)

Abstract: apparatuses, systems, and techniques are presented to predict gaze of an observer. in at least one embodiment, a network is trained to predict a gaze of one or more users based, at least in part, on one or more gazes corresponding to objects not always visible to the one or more users.

20250217224. LANGUAGE MODEL-ASSISTED SYSTEM INSTALLATION, DIAGNOSTICS, DEBUGGING (NVIDIA)

Abstract: disclosed are apparatuses, systems, and techniques that train and use trained language models to assist users with complex systems installation, troubleshooting, and/or maintenance. the techniques include receiving, via a user interface (ui), a natural language (nl) query associated with one or more malfunction indicators indicative of a malfunction state of a system, providing, to a language model (lm) trained using a documentation associated with the system, an input having a prompt that is based at least on the nl query. the techniques further include receiving, from the lm, a response to the nl query, the response having one or more instructions associated with resolution of the malfunction state of the system and causing the ui to display the response.

20250217251. TEST DATA AUTHENTICATION PROCESSING USING SCALABLE DATA STRUCTURES (NVIDIA)

Abstract: a system can include a memory and a processing device, operatively coupled to the memory, to perform operations including receiving, from a storage device, a data block of a blockchain, wherein the data block includes a data block payload comprising test data of an in-system test to be performed on a target device, which is external with respect to the storage device, determining whether the data block is valid by authenticating the data block, and in response to determining that the data block is valid, performing the in-system test on the target device by processing at least a portion of the test data extracted from the data block payload.

20250217446. OPTIMIZING PARAMETER ESTIMATION TRAINING NEURAL NETWORKS (NVIDIA)

Abstract: apparatuses, systems, and techniques estimate parameters to train one or more neural networks based on uniqueuss of training data. in at least one embodiment, a subset of training data is selected and used to estimate parameters to train one or more neural networks, based on, for example, uniqueness of training data.

20250217921. UNIFIED MEMORY SYSTEMS METHODS (NVIDIA)

Abstract: the present invention facilitates efficient and effective utilization of unified virtual addresses across multiple components. in one exemplary implementation, an address allocation process comprises: establishing space for managed pointers across a plurality of memories, including allocating one of the managed pointers with a first portion of memory associated with a first one of a plurality of processors; and performing a process of automatically managing accesses to the managed pointers across the plurality of processors and corresponding memories. the automated management can include ensuring consistent information associated with the managed pointers is copied from the first portion of memory to a second portion of memory associated with a second one of the plurality of processors based upon initiation of an accesses to the managed pointers from the second one of the plurality of processors.

20250218160. 3D OBJECT DETECTION USING TEMPORAL INPUTS (NVIDIA)

Abstract: apparatuses, systems, and techniques of using one or more machine learning processes (e.g., neural network(s)) to detect objects from a plurality of image frames. in at least one embodiment, a plurality of image frames are fused into a feature map using one or more neural networks. in at least one embodiment, a plurality of image frames are processed using one or more neural networks to detect objects in a 3d space.

20250218195. FEATURE-BASED OBJECT IDENTIFICATION AUTONOMOUS SYSTEMS APPLICATIONS (NVIDIA)

Abstract: in various examples, live perception from sensors of a vehicle may be leveraged to generate object tracking paths for the vehicle to facilitate navigational controls in real-time or near real-time. for example, a deep neural network (dnn) may be trained to compute various outputs-such as feature descriptor maps including feature descriptor vectors corresponding to objects included in a sensor(s) field of view. the outputs may be decoded and/or otherwise post-processed to reconstruct object tracking and to determine proposed or potential paths for navigating the vehicle.

20250218433. AUTOMATIC SPEECH RECOGNITION TARGET WORD SPOTTING (NVIDIA)

Abstract: disclosed are apparatuses, systems, and techniques that may use machine learning for implementing automatic speech recognition (asr) facilitated with a search for target words. the techniques include applying an asr model to audio data to generate an asr output representative of a likelihood that the audio data comprises one or more spoken speech units (sus), generating, using the asr output, a first score characterizing a likelihood that the audio data comprises a first word, wherein the first word comprises a dictionary word, generating, using the asr output, a second score characterizing a likelihood that the audio data comprises a second word, wherein the second word comprises a word of a plurality of target words, wherein the plurality of target words is identified based at least on a context of the audio data, and predicting, using the first score and the second score, a spoken word associated with the audio data.

20250218653. MAGNETIC FLUX SHIELDING HIGH ENERGY INDUCTORS (NVIDIA)

Abstract: in various embodiments, an inductor package comprising an inductor that produces a first magnetic flux, and a conductive material disposed on the inductor that provides a reflective magnetic flux that at least partially cancels the first magnetic flux. other embodiments include a circuit board comprising a printed circuit board (pcb); and at least one inductor package fixed to the pcb, the inductor package including an inductor that produces a first magnetic flux, and a conductive material shielding disposed over at least a portion of a surface of the inductor that provides a reflective magnetic flux that at least partially cancels the first magnetic flux.

20250220205. ADAPTIVE ENCODING IMAGE REGIONS MACHINE LEARNING AI APPLICATIONS (NVIDIA)

Abstract: in various examples, properties may be determined for image regions, where the image regions are indicated by output data generated using mlms. an encoder may use the properties to generate encoded images using encoding quality settings for the image regions. when an encoded image is decoded and applied to the mlms, corresponding output data may indicate an image region which is likely to correspond to an encoded image region of the encoded image, and which may be applied to at least one mlm. thus, the properties for encoding an image region to an encoded image can be adapted to control the visual quality of an image region determined from a decoded version of the encoded image. the properties may be determined based at least on performance metric values for the mlms or based at least on a ranking of the image regions.