International Business Machines Corporation

Honeywell International Inc.

Donghua University

Other

Tsinghua University

Beijing Xiaomi Mobile Software Co., Ltd.

Semiconductor Manufacturing International (shanghai) Corporation

Semiconductor Manufacturing International (beijing) Corporation

Beijing Institute of Technology

Binzhou Hua Textile Engineering Technology Research Institute Co., Ltd.

Huafang Co., Ltd

Xiaomi Inc.

Yi Chen Zhong

Zhong Fang Yuan

Tong Liu

Haiming Wang

Lu Yu

Yuan Yuan Ding

Hong Xu

Leo Lei Wang

Zhiping Mao

Wen Jie Wang

Raghu Shamasundar

Kun Yan Yin

Hong Bing Zhang

Li Juan Gao

Yi Ming Wang

Xiaofeng Sui

Linping Zhang

Ke Zhang

Ying Li

Xiang Gao

Thomas D Judd

Zhenyu Zhang

Dan Zhang

Yang Liu

Kalimulla Khan

Hongyu Chen

Lei Xie

Mark Sean Fleming

Wei Wu

Dan Wu

Xiang Yu Yang

Dan Li

Jin Huang

Jing Zhang

Ramkumar Rajendran

Zhongyang Luo

De Shuo Kong

Wei Yin

Kefa Cen

Yu Pan

Mengxiang Fang

Qinhui Wang

Chunjiang Yu

Mingjiang Ni

Jinsong Zhou

Nan Sun

Shurong Wang

Leming Cheng

Xu Min

Ting Cao

Weihong Wu

Guan Chao Li

Si Tong Zhao

Zhenglun Shi

Dian Xu

Tian Tian Chai

Nuo Xu

Yongxin Zhang

Chun Song

Tao Guo

Qiong Wu

Jiaxin Liu

Si Heng Sun

Liu Yao He

Peng HuangFu

Sundaresh Seethahally Krishnamurthy

Zhenning Zhou

Zhongyi Du

Visakh Sivadasan

Hongyu Sun

Limin Wang

Qi Yu

Rongxia Jia

Chunguang Li

Xiaomin Liu

Qingbo Lu

Jinbo Wang

Chunying Sheng

Engang Lu

Qisheng Zhao

Yamin Dai

Hui Lu

Mingda Fei

Wenbo Zhao

Zhengfu Xia

Binzuilin Wu

Ziyi Jiang

Zuliang Wu

Lingli Liu

Ruyi Xie

Jinsong Fan

Provided are a computer program product, system, and method for training and using a vector encoder to determine vectors for sub-images of text in an image to subject to optical character recognition. A vector encoder is trained to encode images representing text into vectors in a vector space. Vectors of images representing similar text have a high degree of cohesion in the vector space. Vectors of images representing dissimilar text have a low degree of cohesion in the vector space. An input image is processed to determine sub-images of the input image that bound text represented in the input image. The sub-images are inputted to the vector encoder to output sub-image vectors. The vector encoder generates a search vector for search text. Optical character recognition is applied to at least one region of the input image including the sub-images having sub-image vectors matching the search vector.

Training and using a vector encoder to determine vectors for sub-images of text in an image subject to optical character recognition

Techniques for skin-condition visualization using machine learning. A color image depicting facial skin of a subject is retrieved. A monochromatic version of the color image is generated. Candidate instances of one or more skin conditions are segmented from the monochromatic version based on a segmentation threshold and using a machine learning model. A polarized version of the color image is generated, and based on the polarized version, the candidate instances are filtered. One or more simulation images are generated based on the filtered candidate instances.

Simulating progression of skin conditions based on machine learning

According to one embodiment, a method, computer system, and computer program product for building an acoustic model is provided. The present invention may include performing contrastive pre-training of the acoustic model; building a dataset classifier using prompt engineering; performing a prediction process; and performing zero-shot audio prediction using the pre-trained acoustic model.

Adaptable acoustic model built with limited labeling data

The present disclosure provides a semi-physical simulation verification method for a control strategy of a distributed hybrid power system, including the following steps: designing a rapid prototyping controller; completing a connection between a semi-physical simulation test platform and an upper computer; building a distributed hybrid power system simulation model using MATLAB/Simulink; and forming a code in Simulink and generating a MATLAB Function module, setting a signal output module for a control signal output under a control strategy, and establishing a corresponding relationship between the signal output module and an output signal interface of the rapid prototyping controller. According to the present disclosure, the test cost generated during verifying the feasibility of the control strategy of the distributed hybrid system is effectively reduced.

Semi-physical simulation verification method for control strategy of distributed hybrid power system

A digital control method is to accurately calculate the real-time addition amount of each dye in the solution replenishment system in the whole dyeing process based on the initial dyeing rate of each dye, and replenish the dye solution according to the real-time addition amount. A digital control system includes an automatic calculation Kvalue unit, a central processing unit and a replenishment pump. The automatic calculation Kvalue unit is composed of a dye solution concentration detection instrument, a sensor I and a BP neural network model. The BP neural network model is a BP neural network trained by a dye database. The automatic calculation Kvalue unit transmits the Kvalue to the central processing unit, calculates the replenishment amount through the central processing unit, and controls the replenishment pump to replenish the solution.

Digital control method and system thereof for solution replenishment system in the pad dyeing process with combination dyes

A method for restoration of a kinetic event using video. The method includes obtaining video involving the kinetic event including a plurality of frames. An absolute location of a frame of the plurality of frames is determined. Movement of a feature point cloud corresponding to an object in motion in the plurality of frames is analyzed. A 3D object model with substantially similar dimensions to the object in motion is selected. The 3D object model is displayed emulating the analysed movement on the 3D map based on the absolute location.

Restoration of a kinetic event using video

Analysis of edge closures of metal surface particles based on a graph structure.

Analyzing edge closures of metal surface particles based on graph structures

An example operation may include one or more of generating a three-dimensional (3D) model of an object via execution of a machine learning model on one or more images of the object, capturing a plurality of snapshots of the 3D model of the object at different angles to generate a plurality of snapshot images of the object, fusing a feature into each of the plurality of snapshots to generate a plurality of fused snapshots of the 3D model of the object, and storing the plurality of fused snapshots of the 3D model of the object in memory.

Generating training data through image augmentation

Embodiments of the present invention relate to methods, systems, and computer program products for managing a plurality of live comments. A plurality of live comments is obtained for a video, the plurality of live comments being associated with a plurality of fragments in the video, respectively. A plurality of features are extracted from the plurality of live comments, respectively. A knowledge base is generated for the plurality of live comments based on the plurality of features. With these embodiments, the live comments may be managed in an effective way. Further, the knowledge base may provide answers to a user query.

Live comment management

A system and method for field extraction including determining a key position of a key in an electronic file, isolating candidate key values based on a distance from the key position, selecting a key value from the candidate key values based on an output of a trained neural network, and extracting the key and the key value from the electronic file, regardless of a key-value structure.

Semantic template matching

The present disclosure relates to an analog-to-digital conversion circuit comprising: N sampling and conversion modules connected in parallel, configured to simultaneously sample and sequentially convert first analog signals of N channels to output second analog signals, wherein each of the sampling and conversion modules includes a plurality of sampling capacitors connected in parallel, wherein N is an integer greater than 1; a comparator connected to the N sampling and conversion modules, configured to comparing the second analog signals respectively to obtain comparison signals; and a control module connected to the N sampling and conversion modules and the comparator, configured to control the N sampling and conversion modules to output converted digital signals based on the comparison signals.

Analog-to-digital conversion circuit

The disclosure provides a method of continuous dyeing with reactive dyes in wet conditions, the method including: 1) adding fabric to a mixture of a dye liquor and an alkali through a one-bath-one-step method; 2) immersing the fabric pretreated in 1) in a padding liquor with an air film horizontal pad dyeing machine; 3) preheating the fabric after being treated in 2) at a temperature of 50-90&#xb0; C.; and 4) rolling and batching the fabric after being treated in 3) at a temperature of 10-70&#xb0; C. for 2-72 hours.

Method of continuous dyeing with reactive dyes in wet conditions

A computer retrieves data from a database. The computer retrieves a Machine Learning (ML) model trained to generate database queries. The computer applies the ML model to generate a primary database query based, at least in part, on a user inquiry available to the computer. The computer retrieves the primary database query, an initial set of data from a database available to the computer. The computer, in response to retrieving the initial set of data, receives feedback assessing the initial set of data. The computer, in response to receiving the feedback, applies a Natural Language Processing (NLP) model to identify query adjustment content within the feedback. The computer revises the primary database query based, at least in part, on the model adjustment content, to generate a secondary database query. The computer retrieves using the secondary database query, a secondary set of data from the database.

Feedback-updated data retrieval chatbot

A joint-decision making system for a vehicle operator and a dispatcher is disclosed, comprising: a vehicle operator engine implemented on a vehicle system configured to: detect a trigger event condition; retrieve vehicle information relevant to the event trigger condition; receive additional information relevant to the event trigger condition; generate a suggested response based on the trigger event condition, retrieved vehicle information, and received additional information; display the suggested response on a graphical user interface of the vehicle operator engine; and transmit the trigger event condition, vehicle information, and suggested response to a dispatcher engine; and the dispatcher engine implemented on a ground system configured to: receive the event trigger condition, vehicle information, and suggested response from the vehicle operator engine; retrieve the additional information relevant to the event trigger condition; and display the suggested response on a graphical user interface of the dispatcher engine.

Systems and methods for vehicle operator and dispatcher interfacing

A method, system, and computer program product for segmenting and processing documents for optical character recognition is provided. The method includes receiving a document and detecting different types of text data. The document is divided into a plurality of text regions associated with the different types of said text data. Optical noise is removed from each text region and differing optical character recognition software code is selected for application to each text region. The differing optical character recognition software code is executed with respect to each text region resulting in extractable computer readable text located within each said text region.

Optical character recognition segmentation

Growing community of inventors

Shanghai, China

Yi Chen Zhong