Patents Examined by Yu Chen
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Patent number: 11574207Abstract: Techniques are described for training and evaluating a proximal factorization machine engine. In one or more embodiments, the engine receives a set of training data that identifies a set of actions taken by a plurality of users with respect to a plurality of items. The engine generates, for a prediction model, (a) a first set of model parameters representing relationships between features of the plurality of users and the set of actions, and (b) a second set of model parameters representing interactions between different features of the plurality of users and the plurality of items. For each respective item in a plurality of items, the engine computes a probabilistic score based on the model parameters. The engine selects and presents a subset of items based on the probabilistic scores.Type: GrantFiled: September 15, 2017Date of Patent: February 7, 2023Assignee: Oracle International CorporationInventors: Michael Edward Pearmain, Janet Barbara Barnes, David John Dewsnip, Zengguang Wang
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Patent number: 11568605Abstract: A cross reality system enables any of multiple devices to efficiently and accurately access previously stored maps and render virtual content specified in relation to those maps. The cross reality system may include a cloud-based localization service that responds to requests from devices to localize with respect to a stored map. The request may include one or more sets of feature descriptors extracted from an image of the physical world around the device. Those features may be posed relative to a coordinate frame used by the local device. The localization service may identify one or more stored maps with a matching set of features. Based on a transformation required to align the features from the device with the matching set of features, the localization service may compute and return to the device a transformation to relate its local coordinate frame to a coordinate frame of the stored map.Type: GrantFiled: October 15, 2020Date of Patent: January 31, 2023Assignee: Magic Leap, Inc.Inventors: Ali Shahrokni, Daniel Olshansky, Xuan Zhao, Rafael Domingos Torres, Joel David Holder, Keng-Sheng Lin, Ashwin Swaminathan, Anush Mohan
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Patent number: 11569270Abstract: A drive backboard, a manufacturing method thereof, a display panel and a display device are provided. The drive backboard includes a plurality of pixel units and a plurality of spare electrode groups. Each pixel unit includes m subpixel units, and m is a positive integer greater than or equal to 2. Each spare electrode group includes two first spare electrodes and one second spare electrode; two adjacent ith subpixel units respectively use one first spare electrode in each spare electrode group and share one second spare electrode in each spare electrode group, where i is a positive integer from 1 to m.Type: GrantFiled: March 19, 2020Date of Patent: January 31, 2023Assignee: BOE TECHNOLOGY GROUP CO., LTD.Inventors: Sheng Xu, Huili Wu, Lizhen Zhang, Wei He, Xuefei Zhao, Shipei Li, Fang He, Dongsheng Yin, Renquan Gu, Wusheng Li, Qi Yao
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Patent number: 11569177Abstract: Disclosed are a method for manufacturing a support frame structure and a support frame structure. The method includes steps of: providing a metal plate including a support region and an opening region; forming an upper dielectric hole and a lower dielectric hole respectively at an upper surface and a lower surface of the support region by photolithography, with a metal spacer connected between the upper dielectric hole and the lower dielectric hole; forming an upper metal pillar on an upper surface of the metal plate, and laminating an upper dielectric layer which covers the upper metal pillar and the upper dielectric hole; etching the metal spacer, forming a lower metal pillar on the lower surface of the metal plate, and laminating a lower dielectric layer which covers the lower metal pillar and the lower dielectric hole.Type: GrantFiled: September 22, 2020Date of Patent: January 31, 2023Assignee: ZHUHAI ACCESS SEMICONDUCTOR CO., LTDInventors: Xianming Chen, Jindong Feng, Benxia Huang, Lei Feng, Jiangjiang Zhao, Wenshi Wang
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Patent number: 11568211Abstract: The present disclosure is directed to systems and methods for the selective introduction of low-level pseudo-random noise into at least a portion of the weights used in a neural network model to increase the robustness of the neural network and provide a stochastic transformation defense against perturbation type attacks. Random number generation circuitry provides a plurality of pseudo-random values. Combiner circuitry combines the pseudo-random values with a defined number of least significant bits/digits in at least some of the weights used to provide a neural network model implemented by neural network circuitry. In some instances, selection circuitry selects pseudo-random values for combination with the network weights based on a defined pseudo-random value probability distribution.Type: GrantFiled: December 27, 2018Date of Patent: January 31, 2023Assignee: Intel CorporationInventors: David Durham, Michael Kounavis, Oleg Pogorelik, Alex Nayshtut, Omer Ben-Shalom, Antonios Papadimitriou
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Patent number: 11568235Abstract: Embodiments for implementing mixed precision learning for neural networks by a processor. A neural network may be replicated into a plurality of replicated instances and each of the plurality of replicated instances differ in precision used for representing and determining parameters of the neural network. Data instances may be routed to one or more of the plurality of replicated instances for processing according to a data pre-processing operation.Type: GrantFiled: November 19, 2018Date of Patent: January 31, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Zehra Sura, Parijat Dube, Bishwaranjan Bhattacharjee, Tong Chen
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Patent number: 11562224Abstract: A 1D-CNN-based ((one-dimensional convolutional neural network)-based) distributed optical fiber sensing signal feature learning and classification method is provided, which solves a problem that an existing distributed optical fiber sensing system has poor adaptive ability to a complex and changing environment and consumes time and effort due to adoption of manually extracted distinguishable event features.Type: GrantFiled: August 8, 2018Date of Patent: January 24, 2023Assignee: University of Electronic Science and Technology of ChinaInventors: Huijuan Wu, Jiping Chen, Xiangrong Liu, Yao Xiao, Mengjiao Wang, Bo Tang, Mingru Yang, Haoyu Qiu, Yunjiang Rao
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Patent number: 11562715Abstract: When a graphics processor is processing data for an application on a host processor, the graphics processor generates in advance of their being required for display by the application a plurality of frame sequences corresponding to a plurality of different possible “future states” for the application. The graphics processing system, when producing a frame in a sequence of frames corresponding to a given future state for the application, determines one or more region(s) of the frame that are to be produced at a first, higher quality, and producing the determined region(s) of the frame at a first, higher quality, whereas other regions of the frame are produced at a second, lower quality.Type: GrantFiled: August 28, 2020Date of Patent: January 24, 2023Assignee: Arm LimitedInventors: Daren Croxford, Guy Larri
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Patent number: 11556770Abstract: Techniques for auto weight scaling a bounded weight range of RPU devices with the size of the array during ANN training are provided. In one aspect, a method of ANN training includes: initializing weight values winit in the array to a random value, wherein the array represents a weight matrix W with m rows and n columns; calculating a scaling factor ? based on a size of the weight matrix W; providing digital inputs x to the array; dividing the digital inputs x by a noise and bound management factor ? to obtain adjusted digital inputs x?; performing a matrix-vector multiplication of the adjusted digital inputs x? with the array to obtain digital outputs y?; multiplying the digital outputs y? by the noise and bound management factor ?; and multiplying the digital outputs y? by the scaling factor ? to provide digital outputs y of the array.Type: GrantFiled: May 31, 2019Date of Patent: January 17, 2023Assignee: International Business Machines CorporationInventors: Malte Rasch, Tayfun Gokmen
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Patent number: 11556774Abstract: Methods and systems for forecasting in sparse data streams. In an example embodiment, steps or operations can be implemented for mapping a time series data stream to generate forecast features using a neural network, transforming the forecast features into a space with transformed forecast features thereof using metric learning, clustering the transformed forecast features in a cluster, initializing a forecast learning algorithm with a combination of the transformed forecast features in the cluster corresponding to a sparse data stream, and displaying forecasts in a GUI dashboard with information indicative of how the forecasts were achieved, wherein the mapping, the transforming, the clustering, and the initializing together lead to increases in a speed of the forecasting and computer processing thereof.Type: GrantFiled: August 27, 2018Date of Patent: January 17, 2023Assignee: Conduent Business Services, LLCInventors: Sakshi Agarwal, Poorvi Agarwal, Arun Rajkumar, Sharanya Eswaran
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Patent number: 11556343Abstract: A computational method is disclosed for the simulation of a hierarchical artificial neural network (ANN), wherein a single correlator pools, during a single time-step, two or more consecutive feed-forward inputs from previously predicted and now active neurons of one or more lower levels.Type: GrantFiled: September 22, 2017Date of Patent: January 17, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Wayne I Imaino, Ahmet S Ozcan, J Campbell Scott
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Patent number: 11552232Abstract: Provided is a ultra-small light-emitting diode (LED) electrode assembly including a base substrate; an electrode line formed on the base substrate, and including a first electrode and a second electrode formed in a line shape to be interdigitated with each other while being spaced apart from each other; and at least one ultra-small LED device connected to the electrode line. A cross section of at least one of the first and second electrodes in a vertical direction has a height variation such that the first and second electrodes easily come in contact with the at least one ultra-small LED device.Type: GrantFiled: February 22, 2021Date of Patent: January 10, 2023Assignee: Samsung Display Co., Ltd.Inventors: Young Rag Do, Yeon Goog Sung
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Patent number: 11551081Abstract: A method may include applying, to various factors contributing to a sentiment that an end user exhibits towards an enterprise software application, a first machine learning model trained to determine, based on the factors, a sentiment index indicating the sentiment that the end user exhibits towards the enterprise software application. In response to the sentiment index exceeding a threshold value, a second machine learning model may be applied to identify remedial actions for addressing one or more of the factors contributing to the sentiment of the end user. A user interface may be generated to display, at a client device, a recommendation including the remedial actions. The remedial actions may be prioritized based on how much each corresponding factor contribute to the sentiment of the end user. Related systems and articles of manufacture are also provided.Type: GrantFiled: December 9, 2019Date of Patent: January 10, 2023Assignee: SAP SEInventors: Kavitha Krishnan, Naga Sai Narasimha Guru Charan Koduri, Baber Farooq
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Patent number: 11551077Abstract: Techniques for statistics-aware weight quantization are presented. To facilitate reducing the bit precision of weights, for a set of weights, a quantizer management component can estimate a quantization scale value to apply to a weight as a linear or non-linear function of the mean of a square of a weight value of the weight and the mean of an absolute value of the weight value, wherein the quantization scale value is determined to have a smaller quantization error than all, or at least almost all, other quantization errors associated with other quantization scale values. A quantizer component applies the quantization scale value to symmetrically and/or uniformly quantize weights of a layer of the set of weights to generate quantized weights, the weights being quantized using rounding. The respective quantized weights can be used to facilitate training and inference of a deep learning system.Type: GrantFiled: June 13, 2018Date of Patent: January 10, 2023Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Zhuo Wang, Jungwook Choi, Kailash Gopalakrishnan, Pierce I-Jen Chuang
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Patent number: 11552272Abstract: A display panel includes: first and second substrates, each including a display area and a peripheral area in a plan view; and a sealing portion disposed between the first and second substrates. An edge of the display panel includes straight-lined and shaped edges, and the shaped edge includes a curved portion. An edge surface of the first substrate at the straight-lined edge, an edge surface of the second substrate at the straight-lined edge and an edge surface of the sealing portion at the straight-lined edge collectively define a first convex surface, an edge surface of the first substrate at the shaped edge, an edge surface of the second substrate at the shaped edge and an edge surface of the sealing portion at the shaped edge collectively define a second convex surface, and shapes of the first and second convex surfaces are different from each other.Type: GrantFiled: March 1, 2021Date of Patent: January 10, 2023Assignee: SAMSUNG DISPLAY CO., LTD.Inventors: Young Min Kim, Yong-Jun Park, Ja Woon Lee, Hyun Min Hwang
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Patent number: 11551402Abstract: A computer-implemented method is provided for visualizing multiple objects in a computerized visual environment. The method includes displaying to a user a virtual three-dimensional space via a viewing device worn by the user, and determining a data limit of the viewing device for object rendering. The method includes presenting an initial rendering of the objects within the virtual space, where the visualization data used for the initial rendering does not exceed the data limit of the viewing device. The method also includes tracking user attention relative to the objects as the user navigates through the virtual space and determining, based on the tracking of user attention, one or more select objects from the multiple objects to which the user is paying attention. The one or more select objects are located within a viewing range of the user.Type: GrantFiled: July 20, 2021Date of Patent: January 10, 2023Assignee: FMR LLCInventors: David Martin, Adam Schouela, Jason Mcevoy
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Patent number: 11552278Abstract: Embodiments of the disclosed subject matter may provide a display device or display surface including at least one emissive layer and a near-infrared (NIR) emissive layer disposed in a stack arrangement between a first electrode and a second electrode, where NIR light is emitted from the NIR emissive layer through the at least one emissive layer, or visible light is emitted from the at least one emissive layer through the NIR emissive layer, and where the NIR light output by the NIR emissive layer has a peak wavelength of 740 nm-1000 nm. Embodiments of the disclosed subject matter may provide a near infrared (NIR) light source disposed behind or in front of an active-matrix organic light emitting diode (AMOLED), where the NIR light source has an area greater than 25% of an active area of the display device or display surface.Type: GrantFiled: May 7, 2019Date of Patent: January 10, 2023Assignee: Universal Display CorporationInventors: Michael Hack, Michael Stuart Weaver, Julia J. Brown
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Patent number: 11537876Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. Input data for a machine learning system may be analyzed to determine one or more potential biases in the input data. Based on the one or more potential biases, the input data may be grouped, and/or weights may be applied to one or more portions of the input data. The input data may be input into a machine learning algorithm, which may generate output data. Based on an evaluation of the output data, the input data may be grouped, and/or second weights may be applied to one or more portions of the input data.Type: GrantFiled: November 28, 2018Date of Patent: December 27, 2022Assignee: Bank of America CorporationInventors: Vaughn M. Bivens, Ganesh Bonda, Stephen C. Cauthorne, Manu Kurian
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Patent number: 11537874Abstract: Techniques for forecasting using deep factor models with random effects are described. A forecasting framework combines the strengths of both classical and neural forecasting methods in a global-local framework for forecasting multiple time series. A global model captures the common latent patterns shared by all time series, while a local model explains the variations at the individual level.Type: GrantFiled: August 10, 2018Date of Patent: December 27, 2022Assignee: Amazon Technologies, Inc.Inventors: Yuyang Wang, Alexander Johannes Smola, Dean P. Foster, Tim Januschowski
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Patent number: 11537872Abstract: A computer-implemented method, computer program product, and computer processing system are provided for obtaining a plurality of bad demonstrations. The method includes reading, by a processor device, a protagonist environment. The method further includes training, by the processor device, a plurality of antagonist agents to fail a task by reinforcement learning using the protagonist environment. The method also includes collecting, by the processor device, the plurality of bad demonstrations by playing the trained antagonist agents on the protagonist environment.Type: GrantFiled: July 30, 2018Date of Patent: December 27, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Tu-Hoa Pham, Giovanni De Magistris, Don Joven Ravoy Agravante, Ryuki Tachibana
