Patents Examined by Dov Popovici
  • Patent number: 11651607
    Abstract: An information processing apparatus includes a processor configured to extract a description including a phrase indicating a relation with a second document element from a first document element, and generate relation information corresponding to information on the description extracted from the first document element, by an AI which has learned, in advance, by machine learning to generate the relation information indicating a relation between the first document element and the second document element from the information on the description.
    Type: Grant
    Filed: April 27, 2020
    Date of Patent: May 16, 2023
    Assignee: FUJIFILM Business Innovation Corp.
    Inventor: Yushi Harada
  • Patent number: 11645225
    Abstract: A computer, including a plurality of processing nodes arranged in two-dimensional arrays in respective front and rear layers. Each processing node has a set of activatable links. When activated, transmission of data items between the nodes connected via the activated link is enabled. When not activated, transmission of data items between the nodes is prevented. The set of activatable links including a respective link which connects the processing node to each adjacent node in the array, and to a facing processing node in the other layer. An allocation engine is configured to receive an allocation instruction and connected to the processing nodes to selectively activate the links in a configuration.
    Type: Grant
    Filed: August 10, 2022
    Date of Patent: May 9, 2023
    Assignee: GRAPHCORE LIMITED
    Inventor: Simon Knowles
  • Patent number: 11631194
    Abstract: An image processing apparatus that processes an image of a recognition target on a mounting surface captured by an image pickup apparatus, the image processing apparatus includes an extraction unit configured to extract an area from the image based on a first distance from the recognition target to the image pickup apparatus, a height of a designated recognition target, and a second distance from the image pickup apparatus to the mounting surface, and a recognition unit configured to perform recognition processing on the area.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: April 18, 2023
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Kensaku Mori
  • Patent number: 11631267
    Abstract: A tiered processing scheme for processing image data is provided. A method can include obtaining image data indicative of one or more court judgment(s) with a number of features. The method can include obtaining judgment information from the image data by applying a number of image processing techniques in accordance with a processing hierarchy tailored to the image data. The image data can be classified by a machine-learning model and the processing hierarchy can be determined based on the classification. The processing hierarchy balances the computing resources used by a respective technique with the accuracy afforded by the technique when applied to image data with a respective classification. A computing system can utilize the processing hierarchy to leverage different image processing techniques in a tiered processing scheme tailored to image data.
    Type: Grant
    Filed: February 26, 2021
    Date of Patent: April 18, 2023
    Assignee: InvestiNet, LLC
    Inventors: Thomas Marcial Kersting, Aaron Michael Brooks, Caleb Michael Rogers
  • Patent number: 11620473
    Abstract: Techniques for a service provider network to provide users with software components that pre-process raw data stored in user computing networks to generate training data that is usable by artificial-intelligence (AI) services. The AI services may utilize models to provide various functionality to users, and the users may desire to train the models with data sets that are specific to their data sets. The service provider network can develop software components that are configured to process raw data into training data for various AI services. The software components can be provided to the user computing networks and executed locally, rather than the raw data having to being moved from the user computing network and to the service provider network. The training data can then be sent to the service provider network and used by the AI services to train ML models for use by the user.
    Type: Grant
    Filed: December 3, 2020
    Date of Patent: April 4, 2023
    Assignee: Amazon Technologies, Inc.
    Inventor: Jiangtao Zhang
  • Patent number: 11620838
    Abstract: Systems and methods for answering region specific questions are provided. A method includes obtaining a regional scene question including an attribute query and a spatial region of interest for a training scene depicting a surrounding environment of a vehicle. The method includes obtaining a universal embedding for the training scene and an attribute embedding for the attribute query of the scene question. The universal embedding can identify sensory data corresponding to the training scene that can be used to answer questions concerning a number of different attributes in the training scene. The attribute embedding can identify aspects of an attribute that can be used to answer questions specific to the attribute. The method includes determining an answer embedding based on the universal embedding and the attribute embedding and determining a regional scene answer to the regional scene question based on the spatial region of interest and the answer embedding.
    Type: Grant
    Filed: September 8, 2020
    Date of Patent: April 4, 2023
    Assignee: UATC, LLC
    Inventors: Sean Segal, Wenjie Luo, Eric Randall Kee, Ersin Yumer, Raquel Urtasun, Abbas Sadat
  • Patent number: 11622049
    Abstract: According to an aspect of some embodiments, an information processing apparatus is configured to perform: displaying an operation screen in a display, the operation screen generated by instructing a WebView to process the obtained web contents; if a predetermined instruction is given through the operation screen, calling the native library by using a script contained in the web contents, and instructing the called native library to generate image data corresponding to the file; and displaying the image data generated by the native library in the operation screen.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: April 4, 2023
    Assignee: Canon Kabushiki Kaisha
    Inventor: Hidekazu Morooka
  • Patent number: 11615516
    Abstract: Techniques are provided for computing systems, methods and computer program products to produce efficient image-to-image translation by adapting unpaired datasets for supervised learning. A first model (a powerful model) may be defined and conditioned using unsupervised learning to produce a synthetic paired dataset from the unpaired dataset, translating images from a first domain to a second domain and images from the second domain to the first domain. The synthetic data generated is useful as ground truths in supervised learning. The first model may be conditioned to overfit the unpaired dataset to enhance the quality of the paired dataset (e.g. the synthetic data generated). A run-time model such as for a target device is trained using the synthetic paired dataset and supervised learning. The run-time model is small and fast to meet the processing resources of the target device (e.g. a personal user device such as a smart phone, tablet, etc.
    Type: Grant
    Filed: November 12, 2020
    Date of Patent: March 28, 2023
    Assignee: L'OREAL
    Inventors: Eric Elmoznino, Irina Kezele, Parham Aarabi
  • Patent number: 11605219
    Abstract: An image-processing device includes: a character string detection unit configured to detect a character string of a specific item in a first document image based on a feature amount of the displayed first document image among feature amounts which are recorded in advance based on a result of learning using a plurality of document images and indicate features of the character string of the item for each kind of document image and each specific item; and an output unit configured to output information regarding a correspondence relation indicating the same specific item between the first document image and a second document image displayed to correspond to the first document image.
    Type: Grant
    Filed: March 27, 2019
    Date of Patent: March 14, 2023
    Assignee: NEC CORPORATION
    Inventors: Yuichi Nakatani, Katsuhiko Kondoh, Satoshi Segawa, Michiru Sugimoto, Yasushi Hidaka, Junya Akiyama
  • Patent number: 11600086
    Abstract: A reference data extraction unit extracts, from a photographic image from an imaging device that captures an image of an object to be recognized, an image of a reference image region serving as a reference and containing a detection subject in the object. A expanded data extraction unit extracts from the photographic image an image of an expanded-image region, which is an image region that includes the reference image region and is larger than the reference image region. A reduced data extraction unit extracts from the photographic image an image of a reduced-image region, which is an image region that includes the detection subject and is smaller than the reference image region, with the result that a portion of the object is outside of the region. A learning unit uses the extracted images of the image region to learn a dictionary.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: March 7, 2023
    Assignee: NEC CORPORATION
    Inventor: Takeharu Kitagawa
  • Patent number: 11580780
    Abstract: A computer-implemented method for implementing face recognition includes receiving training data including a plurality of augmented images each corresponding to a respective one of a plurality of input images augmented by one of a plurality of variations, splitting a feature embedding generated from the training data into a plurality of sub-embeddings each associated with one of the plurality of variations, associating each of the plurality of sub-embeddings with respective ones of a plurality of confidence values, and applying a plurality of losses including a confidence-aware identification loss and a variation-decorrelation loss to the plurality of sub-embeddings and the plurality of confidence values to improve face recognition performance by learning the plurality of sub-embeddings.
    Type: Grant
    Filed: November 6, 2020
    Date of Patent: February 14, 2023
    Inventors: Xiang Yu, Manmohan Chandraker, Kihyuk Sohn, Yichun Shi
  • Patent number: 11574146
    Abstract: A method for updating a parameter of a model, a distributed training system, and an electric device are related to a field of deep learning technologies. The method includes: obtaining a batch training period of batch training data to be trained for a model; increasing priorities of tasks ranked at a bottom in a sequence of gradient communication tasks for parameters of the model when the batch training period is greater than or equal to a preset period threshold; and performing a communication of gradients of the parameters and updating the parameters based on priorities of the gradient communication tasks for the parameters in the model.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: February 7, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Long Li, Haifeng Wang, Weibao Gong
  • Patent number: 11568664
    Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program executable by a device. The program receives a request to process a file. The file includes a set of images of text. The program further converts the text in each image in the set of images into a set of machine-readable text. The program also uses a machine learning model to predict, based on the set of machine-readable text, whether the set of images of the file are images of pages that belong to a single document or images of pages that belong to different documents.
    Type: Grant
    Filed: December 1, 2020
    Date of Patent: January 31, 2023
    Assignee: SAP SE
    Inventor: Adithya Kumar
  • Patent number: 11568281
    Abstract: Techniques facilitating causal reasoning for explanation of model predictions are provided. A system can generate one or more explanations of a machine learning model prediction. The one or more explanations can be based on causal relationships determined between feature data of a set of feature data and based on dataset point samples around a trace associated with the causal relationships.
    Type: Grant
    Filed: November 13, 2019
    Date of Patent: January 31, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Vatche Isahagian, Vinod Muthusamy, Steve Jan
  • Patent number: 11567714
    Abstract: A first communication device may execute an output control process of externally outputting output information, the output information obtained using a public key of the first communication device, receive an authentication request from a second communication device that has obtained the public key, send a first authentication response to the second communication device via a wireless interface in a case where it is determined that a wireless connection has been established between the first communication device and a first access point, the first authentication response including first role information indicating that the first communication device is to serve a first role which is a role of sending first wireless setting information to the second communication device, and send the first wireless setting information to the second communication device.
    Type: Grant
    Filed: December 21, 2021
    Date of Patent: January 31, 2023
    Assignee: Brother Kogyo Kabushiki Kaisha
    Inventor: Hiroshi Shibata
  • Patent number: 11556738
    Abstract: A metrology system includes one or more through-focus imaging metrology sub-systems communicatively coupled to a controller having one or more processors configured to receive a plurality of training images captured at one or more focal positions. The one or more processors may generate a machine learning classifier based on the plurality of training images. The one or more processors may receive one or more target feature selections for one or more target overlay measurements corresponding to one or more target features. The one or more processors may determine one or more target focal positions based on the one or more target feature selections using the machine learning classifier. The one or more processors may receive one or more target images captured at the one or more target focal positions, the target images including the one or more target features of the target specimen, and determine overlay based thereon.
    Type: Grant
    Filed: October 1, 2020
    Date of Patent: January 17, 2023
    Assignee: KLA Corporation
    Inventors: Etay Lavert, Amnon Manassen, Yossi Simon, Dimitry Sanko, Avner Safrani
  • Patent number: 11556296
    Abstract: A printing apparatus determines, upon receiving information from a server that printing of a print job acquired from the server should be cancelled after the start of print processing of the print job, whether the cancellation should be accepted. If it is determined the cancellation should be accepted, execution of the print processing is cancelled and terminated and the server is notified, and if it is determined the cancellation should not be accepted, the server is notified of an execution result indicating that output of the print job has been completed. The printing apparatus further notifies the server of the execution result indicating that output of the print job has been completed when the printing of the print job has been successfully completed before cancellation and termination of the execution of the print processing, even in a case where it is determined that the cancellation should be accepted.
    Type: Grant
    Filed: March 10, 2021
    Date of Patent: January 17, 2023
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Ritsuto Sako
  • Patent number: 11556284
    Abstract: A printing apparatus includes a reception unit configured to receive a print job, and an execution unit configured to execute printing of the print job received by the reception unit. The execution unit has a function of, in a case where a setting time or more elapses with a particular cause preventing the printing of the print job not being removed, canceling the printing of the print job. The execution unit has a function of canceling printing of a new print job received by the reception unit in a state where the setting time or more elapses with the particular cause not being removed.
    Type: Grant
    Filed: March 7, 2022
    Date of Patent: January 17, 2023
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Yuichi Yagi
  • Patent number: 11551464
    Abstract: Provided is a system and method for matching documents by line item. In one example, the method may include receiving a target document from a target system and a source document from a source system which are linked, identifying a set of lines in the target document and a set of lines in the source document which cannot be matched based on initial conditions, determining, via a machine learning model, a target line from the identified set of lines in the target document matches a source line from the identified set of lines in the source document based on descriptions included in the target line and the source line, and updating the source system to indicate that the target line from the target document and the source line from the source document are a match.
    Type: Grant
    Filed: October 21, 2020
    Date of Patent: January 10, 2023
    Assignee: SAP SE
    Inventors: Alexander Bolgarin, Oleg Bolgarin, Jan Schrage
  • Patent number: 11537814
    Abstract: Identification means 71 identifies an object indicated by data by applying the data to a model learned by machine learning. Determination means 72 determines whether or not the data is transmission target data to be transmitted to a predetermined computer based on a result obtained by applying the data to the model. Data transmission means 73 transmits the data determined to be the transmission target data to the predetermined computer at a predetermined timing.
    Type: Grant
    Filed: May 7, 2018
    Date of Patent: December 27, 2022
    Assignee: NEC CORPORATION
    Inventor: Tetsuo Inoshita