Patents by Inventor Gabor Sines

Gabor Sines 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: 12277001
    Abstract: A processing device includes an automated overclocking system and a processor. The automated overclocking system is data-driven and includes an inference engine that executes a machine learning model configured to generate a first output based on a current configuration of the processing device. The first output includes a first set of overclocking parameters. The processor is configured to adjust one or more operating characteristics of at least one component of the processing device based on the first set of overclocking parameters.
    Type: Grant
    Filed: March 24, 2023
    Date of Patent: April 15, 2025
    Assignees: Advanced Micro Devices, Inc., ATI TECHNOLOGIES ULC
    Inventors: Ian Charles Colbert, Alexander Sabino Duenas, Stephen Jiacheng Fu, Omer Irshad, Mohammad Hamed Mousazadeh, Ihab Amer, Gabor Sines
  • Publication number: 20250008149
    Abstract: To leverage an amount of unused bandwidth at a hardware encoder to generate motion estimation data, a processing unit includes a hardware encoder configured to perform a first encoding job including encoder sessions to encode a captured frame, determine motion estimation data for a rendered frame, and encode the rendered frame. Further, the processing unit includes a pre-processing circuitry configured to determine a set of motion estimation parameters based on an encoder delay associated with the performance of the first encoding job by the hardware encoder. The hardware encoder is then configured to perform a second encoding job using the determined set of motion estimation parameters.
    Type: Application
    Filed: June 29, 2023
    Publication date: January 2, 2025
    Inventors: Wei Gao, Ihab Amer, Haibo Liu, Gabor Sines, Feng Pan, Crystal Sau, Dong Liu, Minghao Zhu
  • Patent number: 12172081
    Abstract: Systems, apparatuses, and methods for detecting personal-space violations in artificial intelligence (AI) based non-player characters (NPCs) are disclosed. An AI engine creates a NPC that accompanies and/or interacts with a player controlled by a user playing a video game. During gameplay, measures of context-dependent personal space around the player and/or one or more NPCs are generated. A control circuit monitors the movements of the NPC during gameplay and determines whether the NPC is adhering to or violating the measures of context-dependent personal space. The control circuit can monitor the movements of multiple NPCs simultaneously during gameplay, keeping a separate score for each NPC. After some amount of time has elapsed, the scores of the NPCs are recorded, and then the scores are provided to a machine learning engine to retrain the AI engines controlling the NPCs.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: December 24, 2024
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Mehdi Saeedi, Ian Charles Colbert, Thomas Daniel Perry, Gabor Sines
  • Patent number: 12132917
    Abstract: An encoder encodes an image portion by recursively partitioning the portion into a partitioning hierarchy of levels. The top level has a single block representing the entire portion and each lower level has four smaller blocks representing a corresponding larger block at a higher level. A palette table is generated for each bottom-level block based on the pixels of the associated block. For each successively higher level, the encoder generates a palette table for each current-level block by selecting palette colors based on the palette colors from the four palette tables for the associated four blocks at the next-lowest level. A color index map is then generated based on a final palette table selected from the palette tables generated for the partitioning hierarchy. A representation of the portion is then encoded using the final palette table and the color index map to generate a corresponding segment of an encoded bitstream.
    Type: Grant
    Filed: September 23, 2020
    Date of Patent: October 29, 2024
    Assignee: ATI TECHNOLOGIES ULC
    Inventors: Wei Gao, Yang Liu, Ihab Amer, Ying Luo, Shu-Hsien Wu, Edward Harold, Feng Pan, Crystal Sau, Gabor Sines
  • Patent number: 12120364
    Abstract: A device and method for processing Virtual Reality (VR) data is disclosed. The method comprises transmitting feedback information from the device to a server, wherein the feedback information is captured in the device, receiving data from the server to be presented on the device based on the feedback information, wherein the data includes video data and audio data where the video data is a frame of video data in a sequence of frames and the audio data is the corresponding audio data of the frame, decoding the video data and corresponding audio data of the frame, and controlling the presentation of the video data and corresponding audio data on the device such that the video data is synchronized with the corresponding audio data.
    Type: Grant
    Filed: January 6, 2023
    Date of Patent: October 15, 2024
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Lei Zhang, Gabor Sines, Khaled Mammou, David Glen, Layla A. Mah, Rajabali M. Koduri, Bruce Montag
  • Publication number: 20240319760
    Abstract: A processing device includes an automated overclocking system and a processor. The automated overclocking system is data-driven and includes an inference engine that executes a machine learning model configured to generate a first output based on a current configuration of the processing device. The first output includes a first set of overclocking parameters. The processor is configured to adjust one or more operating characteristics of at least one component of the processing device based on the first set of overclocking parameters.
    Type: Application
    Filed: March 24, 2023
    Publication date: September 26, 2024
    Inventors: Ian Charles Colbert, Alexander Sabino Duenas, Stephen Jiacheng Fu, Omer Irshad, Mohammad Hamed Mousazadeh, Ihab Amer, Gabor Sines
  • Patent number: 12075065
    Abstract: Systems, apparatuses, and methods for performing parallel histogram calculation with application to palette table derivation are disclosed. An encoder calculates a first histogram for a first portion of pixel component value bits of a block of pixels. Then, the encoder selects a first number of the highest pixel count bins from the first histogram. Also, the encoder calculates a second histogram for a second portion of pixel component value bits of the block. The encoder selects a second number of the highest pixel count bins from the second histogram. A third histogram is calculated from the concatenation of bits assigned to the first and second number of bins, and the highest pixel count bins are selected from the third histogram. A palette table is derived based on these highest pixel count bins selected from the third histogram, and the block of pixels is encoded using the palette table.
    Type: Grant
    Filed: September 2, 2021
    Date of Patent: August 27, 2024
    Assignee: ATI Technologies ULC
    Inventors: Feng Pan, Wei Gao, Yang Liu, Crystal Yeong-Pian Sau, Haibo Liu, Edward A. Harold, Ying Luo, Ihab Amer, Gabor Sines
  • Patent number: 12047565
    Abstract: Systems, apparatuses, and methods for calculating multi-pass histograms for palette table derivation are disclosed. An encoder calculates a first histogram for a first portion of most significant bits (MSBs) of pixel component values of a block of an image or video frame. Then, the encoder selects a given number of the highest pixel count bins from the first histogram. The encoder then increases the granularity of these selected highest pixel count bins by evaluating one or more additional bits from the pixel component values. A second histogram is calculated for the concatenation of the original first portion MSBs from the highest pixel count bins and the one or more additional bits, and the highest pixel count bins are selected from the second histogram. A palette table is derived based on these highest pixel count bins selected from the second histogram, and the block is encoded using the palette table.
    Type: Grant
    Filed: July 26, 2021
    Date of Patent: July 23, 2024
    Assignee: ATI Technologies ULC
    Inventors: Feng Pan, Wei Gao, Yang Liu, Crystal Yeong-Pian Sau, Haibo Liu, Edward A. Harold, Ying Luo, Ihab Amer, Gabor Sines
  • Publication number: 20240193413
    Abstract: An apparatus and method for efficiently creating less computationally intensive nodes for a neural network. In various implementations, a computing system includes a memory that stores multiple input data values for training a neural network, and a processor. Rather than determine a bit width P of an integer accumulator of a node of the neural network based on bit widths of the input data values and corresponding weight values, the processor selects the bit width P during training. The processor adjusts the magnitudes of the weight values during iterative stages of training the node such that an L1 norm value of the weight values of the node does not exceed a corresponding weight magnitude limit.
    Type: Application
    Filed: December 13, 2022
    Publication date: June 13, 2024
    Inventors: Ian Charles Colbert, Mehdi Saeedi, Arun Coimbatore Ramachandran, Chandra Kumar Ramasamy, Gabor Sines, Prakash Sathyanath Raghavendra, Alessandro Pappalardo
  • Patent number: 11994939
    Abstract: The disclosed computer-implemented method for generating remedy recommendations for power and performance issues within semiconductor software and hardware. For example, the disclosed systems and methods can apply a rule-based model to telemetry data to generate rule-based root-cause outputs as well as telemetry-based unknown outputs. The disclosed systems and methods can further apply a root-cause machine learning model to the telemetry-based unknown outputs to analyze deep and complex failure patterns with the telemetry-based unknown outputs to ultimately generate one or more root-cause remedy recommendations that are specific to the identified failure and the client computing device that is experiencing that failure.
    Type: Grant
    Filed: September 30, 2022
    Date of Patent: May 28, 2024
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Mohammad Hamed Mousazadeh, Arpit Patel, Gabor Sines, Omer Irshad, Philippe John Louis Yu, Zongjie Yan, Ian Charles Colbert
  • Patent number: 11985341
    Abstract: A technique for encoding video is provided. The technique includes for a first portion of a first frame that is encoded by a first encoder in parallel with a second portion of the first frame that is encoded by a second encoder, determining a historical complexity distribution; determining a first bit budget for the first portion of the first frame based on the historical complexity distribution; and encoding the first portion of the first frame by the first encoder, based on the first bit budget.
    Type: Grant
    Filed: June 22, 2022
    Date of Patent: May 14, 2024
    Assignee: ATI Technologies ULC
    Inventors: Wei Gao, Gabor Sines, Ihab M. A. Amer, Crystal Yeong-Pian Sau, Feng Pan, Dong Liu
  • Publication number: 20240111620
    Abstract: The disclosed computer-implemented method for generating remedy recommendations for power and performance issues within semiconductor software and hardware. For example, the disclosed systems and methods can apply a rule-based model to telemetry data to generate rule-based root-cause outputs as well as telemetry-based unknown outputs. The disclosed systems and methods can further apply a root-cause machine learning model to the telemetry-based unknown outputs to analyze deep and complex failure patterns with the telemetry-based unknown outputs to ultimately generate one or more root-cause remedy recommendations that are specific to the identified failure and the client computing device that is experiencing that failure.
    Type: Application
    Filed: September 30, 2022
    Publication date: April 4, 2024
    Applicants: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Mohammad Hamed Mousazadeh, Arpit Patel, Gabor Sines, Omer Irshad, Phillippe John Louis Yu, Zongjie Yan, Ian Charles Colbert
  • Publication number: 20230421787
    Abstract: A technique for encoding video is provided. The technique includes for a first portion of a first frame that is encoded by a first encoder in parallel with a second portion of the first frame that is encoded by a second encoder, determining a historical complexity distribution; determining a first bit budget for the first portion of the first frame based on the historical complexity distribution; and encoding the first portion of the first frame by the first encoder, based on the first bit budget.
    Type: Application
    Filed: June 22, 2022
    Publication date: December 28, 2023
    Applicant: ATI Technologies ULC
    Inventors: Wei Gao, Gabor Sines, Ihab M. A. Amer, Crystal Yeong-Pian Sau, Feng Pan, Dong Liu
  • Publication number: 20230403415
    Abstract: Adaptive decoder-drive encoder reconfiguration techniques are described. In one example, techniques include detecting an operational condition at a consumer using a sensor, the consumer receiving a communication of digital content from an encoder; generating an adaptation instruction by the decoder based on the detecting; transmitting the adaptation instruction by the decoder for receipt by the encoder; and receiving an adapted communication of the digital content generated by the encoder, the adapted communication caused by reconfiguration of the encoder based on the adaptation instruction received from the decoder.
    Type: Application
    Filed: June 13, 2022
    Publication date: December 14, 2023
    Inventors: Ihab Amer, Gabor Sines, Haibo Liu, Khaled Mammou, Arun Sundaresan Iyer
  • Patent number: 11839815
    Abstract: Systems, apparatuses, and methods for performing adaptive audio mixing are disclosed. A trained neural network dynamically selects and mixes pre-recorded, human-composed music stems that are composed as mutually compatible sets. Stem and track selection, volume mixing, filtering, dynamic compression, acoustical/reverberant characteristics, segues, tempo, beat-matching and crossfading parameters generated by the neural network are inferred from the game scene characteristics and other dynamically changing factors. The trained neural network selects an artist's pre-recorded stems and mixes the stems in real-time in unique ways to dynamically adjust and modify background music based on factors such as game scenario, the unique storyline of the player, scene elements, the player's profile, interest, and performance, adjustments made to game controls (e.g., music volume), number of viewers, received comments, player's popularity, player's native language, player's presence, and/or other factors.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: December 12, 2023
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Carl Kittredge Wakeland, Mehdi Saeedi, Thomas Daniel Perry, Gabor Sines
  • Patent number: 11830225
    Abstract: A feedback processing module includes a memory configured to store feedback received from an encoder. The feedback includes parameters associated with encoded graphics content generated by a graphics engine. The feedback processing module also includes a processor configured to generate configuration information for the graphics engine based on the feedback. The graphics engine is configured to execute a workload based on the configuration information. In some cases, the feedback processing module is also configured to receive feedback from a decoder that is used to decode the graphics content that is encoded by the encoder and generate the configuration information based on the feedback received from the decoder.
    Type: Grant
    Filed: May 30, 2018
    Date of Patent: November 28, 2023
    Assignee: ATI TECHNOLOGIES ULC
    Inventors: Yang Liu, Ihab Amer, Gabor Sines, Boris Ivanovic, Jinbo Qiu
  • Publication number: 20230310995
    Abstract: Systems, apparatuses, and methods for detecting personal-space violations in artificial intelligence (AI) based non-player characters (NPCs) are disclosed. An AI engine creates a NPC that accompanies and/or interacts with a player controlled by a user playing a video game. During gameplay, measures of context-dependent personal space around the player and/or one or more NPCs are generated. A control circuit monitors the movements of the NPC during gameplay and determines whether the NPC is adhering to or violating the measures of context-dependent personal space. The control circuit can monitor the movements of multiple NPCs simultaneously during gameplay, keeping a separate score for each NPC. After some amount of time has elapsed, the scores of the NPCs are recorded, and then the scores are provided to a machine learning engine to retrain the AI engines controlling the NPCs.
    Type: Application
    Filed: March 31, 2022
    Publication date: October 5, 2023
    Inventors: Mehdi Saeedi, Ian Charles Colbert, Thomas Daniel Perry, Gabor Sines
  • Patent number: 11711571
    Abstract: A server offloads graphics effects processing to a client device with graphics processing resources by determining a modification to a graphics effects operation, generating a portion of a rendered video stream using the modification to the graphics effects operation, and providing an encoded representation of the portion of the rendered video stream to the client device, along with metadata representing the modification implemented. The client device decodes the encoded representation to recover the portion of the rendered video stream and selectively performs a graphics effects operation on the recovered portion to at least partially revert the resulting graphics effects for the portion to the intended effects without the modification implemented by the server.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: July 25, 2023
    Assignees: Advanced Micro Devices, Inc., ATI TECHNOLOGIES ULC
    Inventors: Ihab Amer, Guennadi Riguer, Thomas Perry, Mehdi Saeedi, Gabor Sines, Yang Liu
  • Publication number: 20230156250
    Abstract: Virtual Reality (VR) processing devices and methods are provided for transmitting user feedback information comprising at least one of user position information and user orientation information, receiving encoded audio-video (AN) data, which is generated based on the transmitted user feedback information, separating the A/V data into video data and audio data corresponding to a portion of a next frame of a sequence of frames of the video data to be displayed, decoding the portion of a next frame of the video data and the corresponding audio data, providing the audio data for aural presentation and controlling the portion of the next frame of the video data to be displayed in synchronization with the corresponding audio data.
    Type: Application
    Filed: January 6, 2023
    Publication date: May 18, 2023
    Applicants: ATI Technologies ULC, Advanced Micro Devices, Inc.
    Inventors: Lei Zhang, Gabor Sines, Khaled Mammou, David Glen, Layla A. Mah, Rajabali M. Koduri, Bruce Montag
  • Patent number: 11575916
    Abstract: An encoding method is provided which includes receiving a plurality of images, obtaining values of elements in a portion of the images, sorting the elements according to different values of the elements, sorting the elements according to a number of occurrences of the different values and encoding the elements using a subset of the different values having corresponding numbers of occurrences that are higher than corresponding numbers of occurrences of other values. Examples also include a processing device and method for use with palette mode encoding in which the elements are a portion of pixels in images and the values are color values of the portion of pixels in the images.
    Type: Grant
    Filed: October 30, 2020
    Date of Patent: February 7, 2023
    Assignees: Advanced Micro Devices, Inc., ATI Technologies ULC
    Inventors: Shu-Hsien Wu, Crystal Yeong-Pian Sau, Yang Liu, Wei Gao, Feng Pan, Ihab M. A. Amer, Ying Luo, Edward A. Harold, Gabor Sines, Ehsan Mirhadi