Patents by Inventor An Chen

An Chen 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: 12020722
    Abstract: A system for processing and presenting a conversation includes a sensor, a processor, and a presenter. The sensor is configured to capture an audio-form conversation. The processor is configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, wherein the synchronized text is synchronized with the audio-form conversation. The presenter is configured to present the transformed conversation including the synchronized text and the audio-form conversation. The presenter is further configured to present the transformed conversation to be navigable, searchable, assignable, editable, and shareable.
    Type: Grant
    Filed: March 23, 2021
    Date of Patent: June 25, 2024
    Assignee: Otter.ai, Inc.
    Inventors: Yun Fu, Simon Lau, Kaisuke Nakajima, Julius Cheng, Gelei Chen, Sam Song Liang, James Mason Altreuter, Kean Kheong Chin, Zhenhao Ge, Hitesh Anand Gupta, Xiaoke Huang, James Francis McAteer, Brian Francis Williams, Tao Xing
  • Patent number: 12019716
    Abstract: A system for multimedia content recognition includes a cloud server and a media client including a silicon-on-chip (SoC) device to communicate with the cloud server via a network. The SoC device includes a local area network (LAN) interface to receive media content from a media source and a media monitor to analyze the received media content and to generate signature information for transmission to the cloud server or for a local analysis. The SoC device further includes an inference engine to locally analyze the signature information to detect an unauthorized access.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: June 25, 2024
    Assignee: AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE. LIMITED
    Inventors: Yong Li, Xuemin Chen, Brett Tischler, Prashant Katre
  • Patent number: 12020563
    Abstract: The invention provides systems and methods for an autonomous vehicle and cloud control system comprising an autonomous vehicle (AV) control system and a cloud-based platform, which are two components of an Intelligent Road Infrastructure System (IRIS). This integrated vehicle-cloud system provides sensing, prediction, decision-making, and control instructions for specific vehicles at a microscopic level. Specifically, through the system, AVs can be effectively and efficiently controlled by AV itself and/or by the cloud. The AV and cloud control system provides individual vehicles with detailed time-sensitive control instructions for vehicles to fulfill driving tasks. In addition, the cloud-based platform is configured to predict behavior of individual vehicles and provide planning and decision making at a microscopic level from 1 to 10 milliseconds, which is critical for AV operations.
    Type: Grant
    Filed: June 14, 2022
    Date of Patent: June 25, 2024
    Assignee: CAVH LLC
    Inventors: Bin Ran, Yang Cheng, Tianyi Chen, YIfan Yao, Keshu Wu, Haotian Shi, Shen Li, Kunsong Shi, Zhen Zhang, Fan Ding, Huachun Tan, Yuankai Wu, Shuoxuan Dong, Linhui Ye, Xiaotian Li
  • Patent number: 12019739
    Abstract: An approach is provided that receives event data that correspond to detected activities performed by a user on one of a set of one or more computer systems. The detected activities are performed by the user over a time duration. The approach analyzes the event data using time-based models. Each of the time-based models correspond to a different time interval that is included in the time duration. The analysis results in time-based risk scores pertaining to the user for each of the different time intervals. An action is then performed based on an overall security risk score of the user with the overall security risk score of the user being calculated based on the different time-based risk scores.
    Type: Grant
    Filed: April 17, 2019
    Date of Patent: June 25, 2024
    Assignee: International Business Machines Corporation
    Inventors: Jerry Pan, Jian Lin, Michael Josiah Bolding, Dominique J. Paster, Peihao Chen, Wesley Truett, Timothy A. Thornburgh
  • Patent number: 12020601
    Abstract: The present application provides a foldable display module and a foldable display device. The foldable display module includes a flexible display panel and a first anti-reflection layer. The first anti-reflection layer is disposed on a light-emitting side of the flexible display panel. A side of the first anti-reflection layer away from the flexible display panel is provided with a coating layer with fluoride. In this way, intensity of light reflected by a surface of the foldable display module can be reduced, and an imaging effect of a crease on the surface of the foldable display module can be reduced, thereby reducing a visual feeling of a human eye on the crease.
    Type: Grant
    Filed: March 31, 2021
    Date of Patent: June 25, 2024
    Assignee: WUHAN CHINA STAR OPTOELECTRONICS SEMICONDUCTOR DISPLAY TECHNOLOGY CO., LTD.
    Inventor: Qi Chen
  • Patent number: 12019747
    Abstract: One or more computer processors determine a tolerance value, and a norm value associated with an untrusted model and an adversarial training method. The one or more computer processors generate a plurality of interpolated adversarial images ranging between a pair of images utilizing the adversarial training method, wherein each image in the pair of images is from a different class. The one or more computer processors detect a backdoor associated with the untrusted model utilizing the generated plurality of interpolated adversarial images. The one or more computer processors harden the untrusted model by training the untrusted model with the generated plurality of interpolated adversarial images.
    Type: Grant
    Filed: October 13, 2020
    Date of Patent: June 25, 2024
    Assignee: International Business Machines Corporation
    Inventors: Heiko H. Ludwig, Ebube Chuba, Bryant Chen, Benjamin James Edwards, Taesung Lee, Ian Michael Molloy
  • Patent number: 12020618
    Abstract: The present disclosure provides methods, apparatuses, and non-transitory computer-readable mediums for setting charge sharing times, which may be adaptable to a display panel. In some embodiments, the apparatus includes a pixel array and a source driver configured to drive each column of the pixel array. In some embodiments, a setting method of charge sharing times includes grouping a plurality of pixels of a pixel array in a row direction to form a plurality of pixel groups. The setting method further includes setting a charge sharing time of each pixel group of the plurality of pixel groups according to a quantity of pixel groups in the plurality of pixel groups. A charge sharing time of a pixel group located closest to a source driver in the pixel array is greater than a charge sharing time of a pixel group located farthest from the source driver in the pixel array.
    Type: Grant
    Filed: November 18, 2022
    Date of Patent: June 25, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Chulho Choi, Yu-Chieh Huang, Hajoon Shin, Han-Chiang Su, Jia-Way Chen, Kyunlyeol Lee, Yi-Chien Wen, Yongjoo Song, Shih-Chiao Huang
  • Patent number: 12019773
    Abstract: A collaborative session (e.g., a virtual time capsule) in which access to a collaborative object and added virtual content is selectively provided to participants/users. In one example of the collaborative session, a participant (the host) creates a new session and invites participants to join. The session creator (i.e., the host) and other approved participants can access the contents of a session (e.g., which may be recorded using an application such as lens cloud feature; available from Snap Inc. of Santa Monica, California). A timestamp is associated with each received virtual content, and the users are provided with a timelapse of the collaborative object as a function of the timestamps.
    Type: Grant
    Filed: August 31, 2022
    Date of Patent: June 25, 2024
    Assignee: Snap Inc.
    Inventors: Youjean Cho, Chen Ji, Fannie Liu, Andrés Monroy-Hernández, Tsung-Yu Tsai, Rajan Vaish
  • Patent number: 12020268
    Abstract: A survey distribution system receives a selection of a first subset of a user population. For example, an administrator of the system may select one or more user attributes of the users among the user population. In response, the survey distribution system identified the first subset of users based on the selected attributes. In some example embodiments, the administrator of the system may additionally define a maximum or minimum number of users to be exposed to the content, as well as targeting parameters for the content, such as a period of time in which to distribute the content to the first subset of users, as well as location criteria, such that the content may only be distributed to users located in specific areas.
    Type: Grant
    Filed: June 30, 2017
    Date of Patent: June 25, 2024
    Assignee: Snap Inc.
    Inventors: Tolga Can, Yu Chen, Yiwei Ma, Joshua Siegel, Shuo Wu
  • Patent number: 12021051
    Abstract: A method of forming a semiconductor package includes receiving a carrier, coating the carrier with a bonding layer, forming a first insulator layer over the bonding layer, forming a backside redistribution layer over the first insulator layer, forming a second insulator layer over the backside redistribution layer, patterning the second insulator layer to form a recess that extends through the second insulator layer and to the backside redistribution layer, filling the recess with a solder, and coupling a surface-mount device (SMD) to the solder.
    Type: Grant
    Filed: July 26, 2021
    Date of Patent: June 25, 2024
    Assignee: Taiwan Semiconductor Manufacturing Company Limited
    Inventors: Hsien-Wei Chen, An-Jhih Su
  • Patent number: 12020135
    Abstract: A library of machine learning primitives is provided to optimize a machine learning model to improve the efficiency of inference operations. In one embodiment a trained convolutional neural network (CNN) model is processed into a trained CNN model via pruning, convolution window optimization, and quantization.
    Type: Grant
    Filed: August 26, 2021
    Date of Patent: June 25, 2024
    Assignee: Intel Corporation
    Inventors: Liwei Ma, Elmoustapha Ould-Ahmed-Vall, Barath Lakshmanan, Ben J. Ashbaugh, Jingyi Jin, Jeremy Bottleson, Mike B. Macpherson, Kevin Nealis, Dhawal Srivastava, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Anbang Yao, Tatiana Shpeisman, Altug Koker, Abhishek R. Appu
  • Patent number: 12022643
    Abstract: A transistor includes a gate structure that has a first gate dielectric layer and a second gate dielectric layer. The first gate dielectric layer is disposed over the substrate. The first gate dielectric layer contains a first type of dielectric material that has a first dielectric constant. The second gate dielectric layer is disposed over the first gate dielectric layer. The second gate dielectric layer contains a second type of dielectric material that has a second dielectric constant. The second dielectric constant is greater than the first dielectric constant. The first dielectric constant and the second dielectric constant are each greater than a dielectric constant of silicon oxide.
    Type: Grant
    Filed: September 29, 2020
    Date of Patent: June 25, 2024
    Assignee: TAIWAN SEMICONDUCTOR MANUFACTURING CO., LTD.
    Inventors: Chih-Yu Hsu, Jian-Hao Chen, Chia-Wei Chen, Shan-Mei Liao, Hui-Chi Chen, Yu-Chia Liang, Shih-Hao Lin, Kuei-Lun Lin, Kuo-Feng Yu, Feng-Cheng Yang, Yen-Ming Chen
  • Patent number: 12020425
    Abstract: Provided are a method and system for anomaly detection. The method includes: acquiring a picture of an object to be detected; inputting the acquired picture to each of a trained teacher network and a student network distilled from the teacher network, to obtain a feature map output by the teacher network and a feature map output by the student network, where the teacher network is trained by constructing a defective sample to learn feature distribution of normal samples from a pre-trained expert network; and determining a greatest anomalous pixel in a difference map between the feature map output by the teacher network and the feature map output by the student network as an anomaly value of the acquired picture, to output an anomaly detection result.
    Type: Grant
    Filed: July 21, 2023
    Date of Patent: June 25, 2024
    Assignee: CONTEMPORARY AMPEREX TECHNOLOGY CO., LIMITED
    Inventors: Annan Shu, Can Chen, Jv Huang
  • Patent number: 12020070
    Abstract: Computer workloads can be managed across distributed computing clusters according to some aspects of the present disclosure. In one example, a system can receive a request from a workload manager for identifying a computing cluster to which to assign a workload. The system can determine that the workload is to be assigned to a particular computing cluster among a plurality of computing clusters based on historical information about replica deployment by the particular computing cluster. The system can then transmit a response to the workload manager for causing the workload manager to assign the workload to the particular computing cluster.
    Type: Grant
    Filed: April 2, 2021
    Date of Patent: June 25, 2024
    Assignee: RED HAT, INC.
    Inventors: Huamin Chen, Ricardo Noriega De Soto
  • Patent number: 12020434
    Abstract: Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit configured to receive, from an ultrasound imaging device, a sequence of input image frames of a moving object over a time period, wherein the moving object comprises at least one of an anatomy of a patient or a medical device traversing through the patient's anatomy, and wherein a portion of the moving object is at least partially invisible in a first input image frame of the sequence of input image frames; apply a recurrent predictive network to the sequence of input image frames to generate segmentation data; and output, to a display, a sequence of output image frames based on the segmentation data, wherein the portion of the moving object is fully visible in a first output image frame of the sequence of output image frames.
    Type: Grant
    Filed: March 30, 2020
    Date of Patent: June 25, 2024
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Alvin Chen, Kunal Vaidya, Brian Lee, Vipul Shrihan Pai Raikar, Mingxin Zheng, Shyam Bharat, Ameet Kumar Jain
  • Patent number: 12020286
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content items. In one aspect, a method includes presenting an immersive content item at a client device. The immersive content item includes a first presentation interface that includes a scrollable image portion that presents an image having a first interaction point and a preview graphic indicating the availability of other images for presentation. The immersive content item also includes a second presentation interface that is initiated upon interaction with the first interaction point. The second presentation interface includes a scrollable image portion that presents an image from a plurality of images and an image sequencing indicator.
    Type: Grant
    Filed: December 7, 2020
    Date of Patent: June 25, 2024
    Assignee: Google LLC
    Inventors: Ayush Agarwal, Sheng Chen, Jason W. Blythe, Sundeep Jain, Awaneesh Verma, Yunkai Zhou
  • Patent number: 12020421
    Abstract: An image defect detection method is used in an electronic device. The electronic device determines a training image feature set, and trains a Gaussian mixture model by using the feature set to obtain an image defect detection model and a reference error value. An image for analysis is input into the autoencoder to obtain a second implicit vector and a second reconstructed image, and to calculate a second reconstruction error. The electronic device obtains a test image feature of the image for analysis according to the second reconstruction error and the second implicit vector, and inputs the test image feature into the image defect detection model to obtain a prediction score. The image for analysis is determined to reveal a defect when the prediction score is less than or equal to the reference error value.
    Type: Grant
    Filed: January 27, 2022
    Date of Patent: June 25, 2024
    Assignee: HON HAI PRECISION INDUSTRY CO., LTD.
    Inventors: Tung-Tso Tsai, Chin-Pin Kuo, Tzu-Chen Lin, Shih-Chao Chien
  • Patent number: 12020167
    Abstract: Systems and methods for gradient adversarial training of a neural network are disclosed. In one aspect of gradient adversarial training, an auxiliary neural network can be trained to classify a gradient tensor that is evaluated during backpropagation in a main neural network that provides a desired task output. The main neural network can serve as an adversary to the auxiliary network in addition to a standard task-based training procedure. The auxiliary neural network can pass an adversarial gradient signal back to the main neural network, which can use this signal to regularize the weight tensors in the main neural network. Gradient adversarial training of the neural network can provide improved gradient tensors in the main network. Gradient adversarial techniques can be used to train multitask networks, knowledge distillation networks, and adversarial defense networks.
    Type: Grant
    Filed: May 15, 2019
    Date of Patent: June 25, 2024
    Assignee: Magic Leap, Inc.
    Inventors: Ayan Tuhinendu Sinha, Andrew Rabinovich, Zhao Chen, Vijay Badrinarayanan
  • Patent number: 12020933
    Abstract: A method of forming a semiconductor device structure includes forming a resist structure over a substrate, the resist structure includes an anti-reflective coating (ARC) layer and a photoresist layer over the ARC layer. The method further includes patterning the photoresist layer to form a trench therein. The method further includes performing a hydrogen plasma treatment to the patterned photoresist layer, wherein the hydrogen plasma treatment is configured to smooth sidewalls of the trench, and the hydrogen plasma treatment is performed at a temperature ranging from about 200° C. to about 600° C. The method further includes patterning the ARC layer using the patterned photoresist layer as a etch mask.
    Type: Grant
    Filed: November 10, 2022
    Date of Patent: June 25, 2024
    Assignees: TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY, LTD., TSMC NANJING COMPANY, LIMITED
    Inventors: Sheng-Lin Hsieh, I-Chih Chen, Ching-Pei Hsieh, Kuan Jung Chen
  • Patent number: 12020694
    Abstract: The computing system trains an end-to-end (E2E) automatic speech recognition (ASR) model, using a transformer-transducer-based deep neural network that comprises a transformer encoder network and a transducer predictor network. The E2E ASR model is trained to have one or more adjustable hyperparameters that are configured to dynamically adjust an efficiency or a performance of the E2E ASR model when the E2E ASR model is deployed onto a device or executed by the device, by identifying one or more conditions of the device associated with computational power of the device and setting at least one of the one or more adjustable hyperparameters based on one or more conditions of the device.
    Type: Grant
    Filed: June 8, 2023
    Date of Patent: June 25, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yu Wu, Jinyu Li, Shujie Liu, Xie Chen, Chengyi Wang