Patents Examined by Robert A Cassity
  • Patent number: 10803384
    Abstract: According to an exemplary embodiment of the present disclosure, disclosed is a computer program stored in a computer readable storage medium. When the computer program is executed in one or more processors, the computer program performs the following method for anomaly detection of data using a network function, and the method includes: generating an anomaly detection model including a plurality of anomaly detection sub models including a trained network function using a plurality of training data sub sets included in the training data set; calculating input data using at least one of the plurality of generated anomaly detection sub models; and determining whether there is an anomaly in the input data based on output data for input data of at least one of the plurality of generated anomaly detection sub models and the input data.
    Type: Grant
    Filed: September 17, 2018
    Date of Patent: October 13, 2020
    Assignee: MAKINAROCKS CO., LTD.
    Inventors: Andre S. Yoon, Yongsub Lim, Sangwoo Shim
  • Patent number: 10789254
    Abstract: Architecture introduces a new pattern operator referred to as called an augmented transition network (ATN), which is a streaming adaptation of non-reentrant, fixed-state ATNs for dynamic patterns. Additional user-defined information is associated with automaton states and is accessible to transitions during execution. ATNs are created that directly model complex pattern continuous queries with arbitrary cycles in a transition graph. The architecture can express the desire to ignore some events during pattern detection, and can also detect the absence of data as part of a pattern. The architecture facilitates efficient support for negation, ignorable events, and state cleanup based on predicate punctuations.
    Type: Grant
    Filed: August 18, 2016
    Date of Patent: September 29, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Badrish Chandramouli, Jonathan D. Goldstein, David Maier, Mohamed H. Ali, Roman Schindlauer
  • Patent number: 10789547
    Abstract: Techniques are described for identifying an input training dataset stored within an underlying data platform; and transmitting instructions to the data platform, the instructions being executable by the data platform to train a predictive model based on the input training dataset by delegating one or more data processing operations to a plurality of nodes across the data platform.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: September 29, 2020
    Assignee: Business Objects Software Ltd.
    Inventors: Alan McShane, Jacques Doan Huu, Ahmed Abdelrahman, Antoine Carme, Bertrand Lamy, Fadi Maali, Laya Ouologuem, Milena Caires, Nicolas Dulian, Erik Marcade
  • Patent number: 10788809
    Abstract: A method is provided for the enabling of machine functions on a spinning-mill machine comprising multiple components. The method includes transfer of machine-specific data to an enabling device that is physically remote from the spinning-mill machine; evaluation of the machine-specific data through the enabling device; selection of enabling data through the enabling device depending on the machine-specific data; transfer of the enabling data to the spinning-mill machine; and enabling of specific machine functions depending on the enabling data.
    Type: Grant
    Filed: April 8, 2016
    Date of Patent: September 29, 2020
    Assignee: Rieter Ingolstadt GmbH
    Inventors: Thomas Gruber, Mario Maleck, Martin Zipperer, Franz Huettinger
  • Patent number: 10776691
    Abstract: Methods, systems and apparatuses, including computer programs encoded on computer storage media, are provided for learning or optimizing an indirect encoding of a mapping from digitally-encoded input arrays to digitally-encoded output arrays, with numerous technical advantages in terms of efficiency and effectiveness.
    Type: Grant
    Filed: June 23, 2016
    Date of Patent: September 15, 2020
    Assignee: Uber Technologies, Inc.
    Inventors: Zoubin Ghahramani, Gary Marcus
  • Patent number: 10776690
    Abstract: A neural network unit includes a register programmable with a control value, a plurality of neural processing units (NPU), and a plurality of activation function units (AFU). Each NPU includes an arithmetic logic unit (ALU) that performs arithmetic and logical operations on a sequence of operands to generate a sequence of results and an accumulator into which the ALU accumulates the sequence of results as an accumulated value. Each AFU includes a first module that performs a first function on the accumulated value to generate a first output, a second module that performs a second function on the accumulated value to generate a second output, the first function is distinct from the second function, and a multiplexer that receives the first and second outputs and selects one of the two outputs based on the control value programmed into the register.
    Type: Grant
    Filed: April 5, 2016
    Date of Patent: September 15, 2020
    Assignee: VIA ALLIANCE SEMICONDUCTOR CO., LTD.
    Inventors: G. Glenn Henry, Terry Parks
  • Patent number: 10773466
    Abstract: A computer-implemented method and system create a three-dimensional (3D) model of a personalized object that represents of a real-world physical product. The 3D model contains one or more symbol parts, where each of the symbol parts is a computer representation of a symbol and a 3D font determines the shape of each of the symbol parts. A user interface is provided to enable a user to specify the symbol parts to personalize the real-world physical product. A transformation operation is performed, which transforms the 3D model in any one of the six degrees of freedom and enables a user to visualize in three dimensions on a computer screen a representation of the physical product prior to purchase.
    Type: Grant
    Filed: May 27, 2016
    Date of Patent: September 15, 2020
    Assignee: Dassault Systemes SolidWorks Corporation
    Inventors: Jean-Jacques Grimaud, Igor Kaptsan
  • Patent number: 10775875
    Abstract: A device includes a storage unit and a processing unit. The processing unit includes a processor and is coupled to the storage unit. The processing unit operates a big operating system (BOS) and a little operating system (LOS) and can dynamically switch between the BOS and the LOS according to the system loading status of the device, wherein power consumption and resource requirements of the BOS are different than those of the LOS.
    Type: Grant
    Filed: December 28, 2017
    Date of Patent: September 15, 2020
    Assignee: MEDIATEK SINGAPORE PTE. LTD.
    Inventors: Liming Ma, Zhiwei Yang
  • Patent number: 10769531
    Abstract: Various systems and methods for counting people. For example, one method involves receiving input data at an analytics system that includes a neural network. The input data includes a representation of an environment, including representations of several people. The method also includes identifying the representations of the people in the representation of the environment. The method also includes updating an output value that indicates the number of people identified as being present in the environment.
    Type: Grant
    Filed: May 25, 2016
    Date of Patent: September 8, 2020
    Assignee: Cisco Technology, Inc.
    Inventors: Hugo M. Latapie, Enzo Fenoglio, Santosh G. Pandey, Andre Surcouf
  • Patent number: 10769533
    Abstract: Disclosed are systems and methods that implement efficient engines for computation-intensive tasks such as neural network deployment. Various embodiments of the invention provide for high-throughput batching that increases throughput of streaming data in high-traffic applications, such as real-time speech transcription. In embodiments, throughput is increased by dynamically assembling into batches and processing together user requests that randomly arrive at unknown timing such that not all the data is present at once at the time of batching. Some embodiments allow for performing steaming classification using pre-processing. The gains in performance allow for more efficient use of a compute engine and drastically reduce the cost of deploying large neural networks at scale, while meeting strict application requirements and adding relatively little computational latency so as to maintain a satisfactory application experience.
    Type: Grant
    Filed: July 13, 2016
    Date of Patent: September 8, 2020
    Assignee: Baidu USA LLC
    Inventors: Christopher Fougner, Bryan Catanzaro
  • Patent number: 10769537
    Abstract: An answer to a question may selected from answers from a set of answering pipelines. Question answer data can be generated for a question, using a first answering pipeline. Another set of question answer data can be generated for the second question, using the second answering pipeline. The question answer data can include answers and confidence values for each answer. Using a weighting formula and a blending profile for the first answering pipeline, a vote weight can be determined for an answer with the highest confidence value. The same weighting formula and a second blending profile may be used to determine a vote weight for another answer with the highest confidence value. An answer to the question may be selected from the answers, based on the overall highest vote weight.
    Type: Grant
    Filed: June 21, 2016
    Date of Patent: September 8, 2020
    Assignee: International Business Machines Corporation
    Inventor: John M. Boyer
  • Patent number: 10762210
    Abstract: A system for firmware protection and validation includes: a memory device, including firmware; a chipset, a microprocessor; a secure logic device in electrical communication with the chipset and the memory device; and a power on reset circuit in communication with the secure logic device, wherein, when the secure logic device receives a reset signal from the power on reset circuit, the secure logic device applies a hold signal to the chipset, when the hold signal is applied to the chipset, the power on reset circuit de-asserts the reset signal, when the reset signal is de-asserted, the secure logic device validates the content of the firmware in the memory device, and further wherein, when the content of the firmware is validated by the secure logic device, the secure logic device de-asserts the hold signal applied to the chipset.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: September 1, 2020
    Assignee: Quixant PLC
    Inventor: Nicholas Charles Leopold Jarmany
  • Patent number: 10762419
    Abstract: Described is a neuromorphic system implemented in hardware that implements neuron membrane potential update based on the leaky integrate and fire (LIF) model. The system further models synapse weights update based on the spike time-dependent plasticity (STDP) model. The system includes an artificial neural network in which the update scheme of neuron membrane potential and synapse weight are effectively defined and implemented.
    Type: Grant
    Filed: July 30, 2019
    Date of Patent: September 1, 2020
    Assignee: International Business Machines Corporation
    Inventors: Takeo Yasuda, Kohji Hosokawa, Yutaka Nakamura, Junka Okazawa, Masatoshi Ishii
  • Patent number: 10762436
    Abstract: Systems, methods, and non-transitory computer-readable media can determine a respective embedding for each entity in a set of entities that are accessible through the social networking system, wherein each embedding is learned based at least in part on one or more sessions of connections formed between users and entities of the social networking system. One or more candidate entities that are related to a first entity can be determined based at least in part on the respective embeddings for the candidate entities and the first entity. At least a first candidate entity from the one or more candidate entities can be provided as a recommendation to a user that formed a connection with the first entity.
    Type: Grant
    Filed: December 21, 2015
    Date of Patent: September 1, 2020
    Assignee: Facebook, Inc.
    Inventors: Bradley Ray Green, Jason Brewer
  • Patent number: 10755177
    Abstract: A voice user interface (VUI) system use collaborative filtering to expand its own knowledge base. The system is designed to improve the accuracy and performance of the Natural Language Understanding (NLU) processing that underlies VUIs. The system leverages the knowledge of system users to crowdsource new information.
    Type: Grant
    Filed: December 31, 2015
    Date of Patent: August 25, 2020
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: William Clinton Dabney, Arpit Gupta, Faisal Ladhak, Markus Dreyer, Anjishnu Kumar
  • Patent number: 10755184
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and applying a machine learning model. One of the methods includes the actions of obtaining a collection of training data, the training data comprising collection of data points associated with a labeled set of real property parcels; training a machine learning model using the training data, the machine learning model being trained to generate a likelihood with respect to a parameter from input data associated with a specific parcel of real property, wherein training includes optimizing the model using a Markov chain optimization that seeks to minimize error in the model where the model is underpinned by one or more non-differentiable functions; receiving a plurality of data points associated with an input parcel of real property; and using the optimized model to generate a likelihood for the parameter for the input parcel of real property.
    Type: Grant
    Filed: December 16, 2019
    Date of Patent: August 25, 2020
    Assignee: States Title, Inc.
    Inventors: Brian Holligan, Andy Mahdavi
  • Patent number: 10755167
    Abstract: This invention relates to an apparatus, system, and method for computing with neuromorphic circuit architectures that have neurons with interconnected internal state information. The interconnected internal state information allows the neurons to enable or strengthen the input to other neurons. Furthermore, neuron internal state information provides insights on the characteristics of the input data that can be used to enhance the performance of the neuromorphic system. The neuromorphic system can be implemented with an artificial phase-change-based neurons.
    Type: Grant
    Filed: June 22, 2016
    Date of Patent: August 25, 2020
    Assignee: International Business Machines Corporation
    Inventors: Angeliki Pantazi, Tomas Tuma, Stanislaw Wozniak
  • Patent number: 10755180
    Abstract: An online system generates one or more models that determine a likelihood of a user interacting with an application over a particular time interval after installing the application. To generate the one or more models, the online system obtains information describing a user's interaction with the application that occurred greater than a threshold time period prior to a time for which user interaction with the application is to be determined. Example user interactions with the application include: usage of the application, numbers of particular interactions with the application, an amount of compensation the application receives from the user, interactions with other users of the application via the application, and any other suitable interactions. Various engagement metrics may be predicted by the one or more models such as an amount of time spent using the application, particular actions taken in the application, and revenue generated by the user in the application.
    Type: Grant
    Filed: March 24, 2017
    Date of Patent: August 25, 2020
    Assignee: Facebook, Inc.
    Inventors: Tanmoy Chakraborty, Lei Wang, Manas Somaiya, Patrick Edward Bozeman
  • Patent number: 10750043
    Abstract: An image processing apparatus capable of shifting to a power saving mode. The image processing apparatus includes a storing unit configured to store a document in a storage device, a notification unit configured to periodically notify an apparatus of a predetermined destination of information about a document that has been newly stored by the storing unit into the storage device, and a control unit configured to restrict shifting to a power saving mode in which the notification unit cannot make the notification after storage of a document by the storing unit has been completed and until the notification unit notifies at least information about the document.
    Type: Grant
    Filed: August 4, 2017
    Date of Patent: August 18, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventor: Toru Yoshida
  • Patent number: 10748058
    Abstract: A method and system are provided for updating a neuron membrane potential in a spike time dependent plasticity model in a Neuromorphic system. The method includes approximating a shape of an analog spike signal from an axon input using a hardware-based digital axon timer. The method further includes generating a first intermediately updated neuron membrane potential value from a current axon timer value, a current synapse weight value and a current neuron membrane potential value using a first look-up table and an accumulator. The method also includes generating a second intermediately updated neuron membrane potential value with a leak decay effect using a second look-up table and the first intermediately updated neuron membrane potential value. The method additionally includes generating a final updated neuron membrane potential value based on a comparison of the second intermediately updated neuron membrane potential value with a neuron fire threshold level using a comparator.
    Type: Grant
    Filed: December 28, 2015
    Date of Patent: August 18, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Kohji Hosokawa, Masatoshi Ishii, Yutaka Nakamura, Junka Okazawa, Takeo Yasuda