Patents by Inventor Michael Wu

Michael Wu 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: 11943264
    Abstract: Described embodiments enable device users sharing content items via a content management system to view and modify content items within native applications on their client devices. In various embodiments, a client application detects a save operation on a content item and prompts a user to provide a comment based on changes to the content item. User comments and metadata are provided to a content management system to create a historical log that provides a comprehensive summary of user interactions with a content item, including comments regarding content item changes, version information, and timestamps. The content management system provides the comments and other log contents to client applications associated with other users sharing the content item. The client applications use the comments and log information to provide notifications to the users regarding content item changes and comments by sharing users.
    Type: Grant
    Filed: August 1, 2022
    Date of Patent: March 26, 2024
    Assignee: DROPBOX, INC.
    Inventors: Anvisha Hrishikesh Pai, Michael Wu
  • Patent number: 11875028
    Abstract: A client device displays a content item in a window associated with a process on the device. A client application monitors the process for the content item and determines whether the content item is synchronized with a client device or content management system. When the content item is not synchronized, a synchronization interface is displayed to permit a user to request synchronizing the content item. When the user requests synchronization, the content item is moved to a shared folder synchronized with the content management system or client device.
    Type: Grant
    Filed: March 6, 2020
    Date of Patent: January 16, 2024
    Assignee: DROPBOX, INC.
    Inventors: Martin Pedrick, Michael Wu, Anvisha Pai
  • Publication number: 20230368030
    Abstract: Weights can be pruned during DNN training to increase sparsity in the weights and reduce the amount of computation required for performing the deep learning operations in DNNs. A DNN layer may have one or more weight tensors corresponding to one or more output channels of the layer. A weight tensor has weights, the values of which are determined by training the DNN. A weight tensor may have a dimension corresponding to the input channels of the layer. The weight tensor may be partitioned into subtensors, each of which has a subset of the input channels. The subtensor may have the same number of input channels. One or more subtensors may be selected, e.g., based on the weights in the one or more subtensors. The weights in a selected subtensor are pruned, e.g., changed to zeros. The weights in an unselected subtensor may be modified by further training the DNN.
    Type: Application
    Filed: July 25, 2023
    Publication date: November 16, 2023
    Inventors: Arnab Raha, Michael Wu, Deepak Abraham Mathaikutty, Martin Langhammer, Nihat Tunali
  • Patent number: 11804009
    Abstract: Described herein are systems, methods, and computer readable media for performing data conversion on sensor data to obtain modified sensor data that is formatted/structured appropriately for downstream processes that rely on the sensor data as input. The sensor data can include point cloud data captured by a LiDAR, for example. A grid structure and corresponding grid characteristics can be determined and the sensor data can be converted to grid-based sensor data by associating the grid structure and its characteristics with the sensor data. Generating the grid-based sensor data can include reformatting the point cloud data to superimpose the grid structure and its grid characteristics onto the point cloud data. Various downstream processing that cannot feasibly be performed on the raw sensor data can then be performed efficiently on the modified grid-based sensor data by virtue of the grid structure imbuing the sensor data with spatial proximity information.
    Type: Grant
    Filed: December 28, 2021
    Date of Patent: October 31, 2023
    Assignee: Pony AI Inc.
    Inventors: Pingfan Meng, Michael Wu, Brian James Rush
  • Patent number: 11741551
    Abstract: Techniques for gamification for online social communities are described including receiving input data transferred from a client associated with an interaction on a website having one or more portions served from servers that are separate from each other, analyzing the input using a community analytic module to determine metrics associated with the interaction, the metrics having, at least, a first level, a second level, and a third level, the first level indicating a ranking associated with the input data, the second level being associated with feedback data transmitted by another client in response to the interaction, the third level being associated with generating one or more awards based on a determination generated by combining the first level and the second level, and storing metric data associated with the first level, the second level, the third level, the ranking, the feedback data, and the one or more awards.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: August 29, 2023
    Assignee: Khoros, LLC
    Inventor: Michael Wu
  • Publication number: 20230229917
    Abstract: A compute block can perform hybrid multiply-accumulate (MAC) operations. The compute block may include a weight compressing module and a processing element (PE) array. The weight compression module may select a first group of one or more weights and a second group of one or more weights from a weight tensor of a DNN (deep neural network) layer. A weight in the first group is quantized to a power of two value. A weight in the second group is quantized to an integer. The integer and the exponent of the power of two value may be stored in a memory in lieu of the original values of the weights. A PE in the PE array includes a shifter configured to shift an activation of the layer by the exponent of the power of two value and a multiplier configured to multiplying the integer with another activation of the layer.
    Type: Application
    Filed: March 15, 2023
    Publication date: July 20, 2023
    Applicant: Intel Corporation
    Inventors: Michael Wu, Arnab Raha, Deepak Abraham Mathaikutty, Nihat Tunali, Martin Langhammer
  • Patent number: 11704536
    Abstract: Disclosed approaches for convolving input feature maps in a neural network include a circuit arrangement circuit that includes memory circuitry and convolution circuitry. The memory circuitry is configured to store K NxN first filters, and C 1x1 second filters, wherein N ? 1, and 1 < K < C. The convolution circuitry is coupled to the memory circuitry and configured to convolve a three-dimensional input feature map with the K NxN first filters into an intermediate volume having a depth of K, and convolve the intermediate volume with the C 1x1 second filters into an output feature map having a depth of C.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: July 18, 2023
    Assignee: XILINX, INC.
    Inventors: Michael Wu, Christopher H. Dick
  • Patent number: 11686834
    Abstract: A system and method for one-way ranging is disclosed. The system comprises a transmitter, also referred to as tag, transmitting a packet having a first frequency. The receiver, also referred to as the locator, receives the first frequency and measures the phase at a specific point in time. At a predetermined time, the transmitter switches to a second frequency. This is performed while maintaining phase continuity. The receiver also switches to the second frequency at nearly the same time. The receiver then measures the phase of the second frequency at a second point in time. Based on these two phase measurements, the distance between the transmitter and the receiver may be calculated.
    Type: Grant
    Filed: September 27, 2021
    Date of Patent: June 27, 2023
    Assignee: Silicon Laboratories Inc.
    Inventors: Terry Lee Dickey, Yan Zhou, Michael Wu
  • Patent number: 11619497
    Abstract: Systems, methods, and non-transitory computer readable media are provided for obtaining a slice of static map data comprising a plurality of blocks, each block comprising a plurality of cells, each, each cell having a cell value indicating a probability that an object is present in the cell; loading the slice into a cache memory of a parallel processor; arranging the static map data in the cache memory in contiguous memory spaces assigned to a group of workers of the parallel processor that have coalescing constraints; loading a frame of dynamic map data into the cache memory; obtaining a plurality of scan match candidates each representing a possible position and attitude of the vehicle; processing, in the parallel processor, the static and dynamic map data and the candidates to generate results each representing a candidate and score; and selecting the candidate having the highest score as a vehicle position.
    Type: Grant
    Filed: October 30, 2020
    Date of Patent: April 4, 2023
    Assignee: Pony AI Inc.
    Inventors: Mengda Yang, Michael Wu, Ke Li, Piaoyang Cui
  • Patent number: 11611360
    Abstract: An apparatus comprises an RF receiver for receiving an RF signal. The RF receiver includes front-end circuitry to generate a first down-converted signal, and a plurality of signal detectors to generate a corresponding plurality of detection signals from signals derived from the down-converted signal. The RF receiver further includes a controller to provide at least one control signal to the front-end circuitry based on the plurality of detection signals.
    Type: Grant
    Filed: May 28, 2020
    Date of Patent: March 21, 2023
    Assignee: Silicon Laboratories Inc.
    Inventors: Hendricus de Ruijter, Güner Arslan, Wentao Li, Michael Wu
  • Patent number: 11580191
    Abstract: Method and system relating generally to convolution is disclosed. In such a method, an image patch is selected from input data for a first channel of a plurality of input channels of an input layer. The selected image patch is transformed to obtain a transformed image patch. The transformed image patch is stored. Stored is a plurality of predetermined transformed filter kernels. A stored transformed filter kernel of the plurality of stored predetermined transformed filter kernels is element-wise multiplied by multipliers with the stored transformed image patch for a second channel of the plurality of input channels different from the first channel to obtain a product. The product is inverse transformed to obtain a filtered patch for the image patch.
    Type: Grant
    Filed: April 26, 2018
    Date of Patent: February 14, 2023
    Assignee: XILINX, INC.
    Inventors: Albert T. Gural, Michael Wu, Christopher H. Dick
  • Publication number: 20230037575
    Abstract: An integrated circuit is provided that includes compression or decompression circuitry along a datapath. An integrated circuit system may include first memory to store data, data utilization circuitry to operate on the data, and a configurable data distribution path to transfer data between the first memory and the data utilization circuitry. Compression or decompression circuitry may be disposed along the data distribution path between the first memory and the data utilization circuitry to enable the first memory to store the data in compressed form and to enable the data utilization circuitry to operate on the data in uncompressed form. The compression or decompression circuitry may use lossless sparse encoding, lossless multi-precision encoding, lossless prefix lookup table-based encoding, Huffman encoding, selective compression, or lossy compression.
    Type: Application
    Filed: September 30, 2022
    Publication date: February 9, 2023
    Inventors: Michael Wu, Nihat Engin Tunali, Martin Langhammer
  • Publication number: 20230021396
    Abstract: A method for implementing an artificial neural network in a computing system that comprises performing a compute operation using an input activation and a weight to generate an output activation, and modifying the output activation using a noise value to increase activation sparsity.
    Type: Application
    Filed: September 27, 2022
    Publication date: January 26, 2023
    Applicant: Intel Corporation
    Inventors: Nihat Tunali, Arnab Raha, Bogdan Pasca, Martin Langhammer, Michael Wu, Deepak Mathaikutty
  • Publication number: 20230015164
    Abstract: A system and method for one-way ranging is disclosed. The system comprises a transmitter, also referred to as tag, transmitting a packet having a first frequency. The receiver, also referred to as the locator, receives the first frequency and measures the phase at a specific point in time. At a predetermined time, the transmitter switches to a second frequency. This is performed while maintaining phase continuity. The receiver also switches to the second frequency at nearly the same time. The receiver then measures the phase of the second frequency at a second point in time. Based on these two phase measurements, the distance between the transmitter and the receiver may be calculated.
    Type: Application
    Filed: September 27, 2021
    Publication date: January 19, 2023
    Inventors: Terry Lee Dickey, Yan Zhou, Michael Wu
  • Publication number: 20220372597
    Abstract: An ?-? titanium alloy, comprising aluminum, vanadium, and molybdenum. The ?-? titanium alloy comprises between 5.0 wt % and 8.0 wt % aluminum (Al), between 1.0 wt % and 5.5 wt % Vanadium (V), and between 0.75 wt % and 2.5 wt % molybdenum (Mo). The ?-? titanium alloy having a density between 4.35 g/cc and 4.50 g/cc.
    Type: Application
    Filed: May 19, 2022
    Publication date: November 24, 2022
    Inventors: Matthew W. Simone, Dennis Chan, William Hsieh, Michael Wu, Thomas M. Malota, Christina Cheng
  • Publication number: 20220368741
    Abstract: Described embodiments enable device users sharing content items via a content management system to view and modify content items within native applications on their client devices. In various embodiments, a client application detects a save operation on a content item and prompts a user to provide a comment based on changes to the content item. User comments and metadata are provided to a content management system to create a historical log that provides a comprehensive summary of user interactions with a content item, including comments regarding content item changes, version information , and timestamps. The content management system provides the comments and other log contents to client applications associated with other users sharing the content item. The client applications use the comments and log information to provide notitfications to the users regarding content item changes and comments by sharing users.
    Type: Application
    Filed: August 1, 2022
    Publication date: November 17, 2022
    Inventors: Anvisha Hrishikesh Pai, Michael Wu
  • Patent number: 11483548
    Abstract: A passive component for coupling to, and thereby tracking, an intermediary device within a cable television system is disclosed. The passive component includes a tracking circuit separate in functionality from an existing circuit of the intermediary device. The tracking circuit, which is unpowered and uncontrolled, receives a first signal from a first device in the cable television system, modifies the first signal to create a modified signal, and passes the modified first signal to a second device in the cable television system, the second device being configured to determine a type for the intermediary device based on the modification to the first signal. The first device is one of a cable modem or a CMTS, and the second device is the other of the cable modem and the CMTS.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: October 25, 2022
    Inventors: David Wachob, Neil Tang, Michael Wu
  • Patent number: 11461625
    Abstract: Lossy tensor compression and decompression circuits compress and decompress tensor elements based on the values of neighboring tensor elements. The lossy compression circuit scales each decompressed tensor element of a tile by a scaling factor that is based on the maximum value that can be represented by the number of bits used to represent a compressed tensor element, and the greatest value and least value of the tensor elements of the tile. The lossy decompression circuit performs the inverse of the lossy compression. The compression circuit and decompression circuit have parallel multiplier circuits and parallel adder circuits to perform the lossy compression and lossy decompression, respectively.
    Type: Grant
    Filed: May 22, 2020
    Date of Patent: October 4, 2022
    Assignee: XILINX, INC.
    Inventors: Michael Wu, Christopher H. Dick
  • Publication number: 20220292366
    Abstract: Methods, apparatus, systems, and articles of manufacture to perform low overhead sparsity acceleration logic for multi-precision dataflow in deep neural network accelerators are disclosed. An example apparatus includes a first buffer to store data corresponding to a first precision; a second buffer to store data corresponding to a second precision; and hardware control circuitry to: process a first multibit bitmap to determine an activation precision of an activation value, the first multibit bitmap including values corresponding to different precisions; process a second multibit bitmap to determine a weight precision of a weight value, the second multibit bitmap including values corresponding to different precisions; and store the activation value and the weight value in the second buffer when at least one of the activation precision or the weight precision corresponds to the second precision.
    Type: Application
    Filed: March 30, 2022
    Publication date: September 15, 2022
    Inventors: Arnab Raha, Martin Langhammer, Debabrata Mohapatra, Nihat Tunali, Michael Wu
  • Patent number: 11444627
    Abstract: A system and method for accurately determining a distance between two network devices using a Channel Sounding application is disclosed. The network devices each guarantee a fixed phase relationship between the transmit circuit and the receive circuit. In one embodiment, this is achieved by incorporating the divider within the phase locked loop. The divider may have a reset, such that it can be initialized to a predetermined state. Further, by utilizing a divider disposed within the phase locked loop with a reset, the quadrature signal generator is guaranteed to output clocks for the transmit circuit and the receive circuit that have a constant phase relationship.
    Type: Grant
    Filed: December 13, 2021
    Date of Patent: September 13, 2022
    Assignee: Silicon Laboratories, Inc.
    Inventors: Rangakrishnan Srinivasan, Michael Wu, Francesco Barale, John Khoury, Aslamali A. Rafi