International Business Machines Corporation

Facebook, Inc.

Vmware, Inc.

Boe Technology Group Co., Ltd.

Microsoft Technology Licensing, LLC

Huawei Technologies Co., Limited

Amazon Technologies, Inc.

Dell Products Inc.

Chinese Academy of Sciences

Meta Platforms, Inc.

University of Shanghai for Science and Technology

Western Digital Technologies, Inc.

Beijing Xinmei Hutong Technology Co., Ltd.

Li Zhou

Sandeep Madhav Uttamchandani

Deng Liu

Long Wang

Liang Xu

Feng Jiang

Aleksey Sergeyevich Fadeev

Yimin Song

David Lynn Merbach

Mayank Rawat

Goran Predovic

Chaochao Cai

Kevin Joseph Webster

Chungchun Lee

William Bullock

Jeffrey Lynn Wallace

Fei Meng

Richard Sefton Sidle

Sam Sampson Lightstone

Sunil Bharadwaj

Stephen A Byrd

Christina Marie Lee

Xuan He

Antti-Pekka Liedes

Kevin Michael Small

Yunzhi Gao

Marko Milek

Ying-Pong Chen

Ian K Abernathy

Vijayshanker Raman

Jussi Vuorento

Wei Zhang

Yan Peng

Liye Duan

Fangzhen Zhang

Thomas A Phelan

Samdeep Nayak

Jianwen Yin

Ramkumar Vadivelu

Yiming Zhu

Xingdong Liu

Renzhi Yang

Ronald L Rathgeber

Mohan Liu

Jiyong Jiang

Frank Raymond Ayars

Anh Phuong Bui

Libin Liu

Ming Jin Chen

Jie Chen

Pan Li

Ting Chen

Jian Jun Wang

Chun Long Wang

Yu Wang

Ke Liu

Shuai Wang

Yanfeng Wang

Stephane Taine

Xiaoyun Zhu

Guangkui Qin

Chun Wei Wu

Xiaoling Xu

Ting Li

Jing Zhou

Richard Dennis Beckert

Sumant Padbidri

Zheng Zhou

Jiayang Zhao

Jianguo Zhou

Sanjay Vasudev Acharya

Mark M Moeller

Kailiang Zhang

Tao Fan

Xiyong Wang

Lauren Anne Mayes

Xin Gao

Chieh Hsing Chung

Kemal Oral Cansizlar

Min Zeng

Yinglong Xia

Jing Xia

Michael Phillip Salem

Yidan Lei

Caleb Timothy Johnson

Yi Huang

Daniel Edward Grack

Xu Wu

Shengyi He

Yizheng Chen

Jingang Kang

Loren William Abrams

Oleg Rokhlenko

Kang Sun

Bao Q Vu

Shuang Peng

Wen Dong Wang

Fan Jia

Hong Gang Liu

Chung-Chun Lee

Described herein is a technique for establishing an overall company-level confidence score based on analyzing data from various data sources. The overall score is derived using a machine learned model that takes as input a set of sub-scores, with each sub-score representing a measure of how frequently a domain name occurs within the same data record as a company name. The model used to combine the several sub-scores is trained using training data that includes a variety of sub-scores for company and domain names that have already been verified to be associated with one another.

Technique for assessing trust based on company email domain data

Techniques for conversational-based searching are described. A system may receive a first spoken user input, and may determine that the first spoken user input corresponds to a request for information associated with an entity. The system may retrieve item results corresponding to the entity. The system may determine a suggested user input based on the retrieved item results, and may determine output data corresponding to the suggested user input. The system may send output data to a user device, where the output data includes the item results and the suggested user input. The system may receive a second spoken user input, and may determine that the second spoken user input corresponds to the suggested user input. In response, the system may send the previously determined output data to the device.

Voice based searching and dialog management system

The present disclosure provides method and apparatus for responding in a voice conversation by an electronic conversational agent. A voice input may be received in an audio upstream. In response to the voice input, a primary response and at least one supplementary response may be generated. A primary voice output may be generated based on the primary response. At least one supplementary voice output may be generated based on the at least one supplementary response. The primary voice output and the at least one supplementary voice output may be provided in an audio downstream, wherein the at least one supplementary voice output is provided during a time period adjacent to the primary voice output in the audio downstream.

Multi-phrase responding in full duplex voice conversation

An online system receives information including a description of an event occurring in a mobile application and user identifying information associated with a user of the mobile application associated with the event via an SDK incorporated into the mobile application code of the mobile application. The online system determines whether the description corresponds to information maintained in the online system describing types of events capable of occurring in the mobile application. If the description corresponds to information describing a type of event capable of occurring in the mobile application, the online system logs the type of event in association with the user identifying information. Otherwise, the online system predicts a type of event corresponding to the event occurring in the mobile application based at least in part on the information received at the online system and logs the predicted type of event in association with the user identifying information.

Logging information describing a type of event occurring in a mobile application received via an SDK incorporated into mobile application code of the mobile application

The present disclosure provides a pixel driving circuit, an array substrate and a display panel. The pixel driving circuit of the present disclosure includes a switch transistor and N redundant switch transistors, the switch transistor and the N redundant switch transistors are connected in series, a second electrode of an Nredundant switch transistor is coupled to a first electrode of the switch transistor, and a second electrode of the switch transistor is coupled to a display electrode.

Pixel driving circuit, array substrate and display panel

According to an embodiment, a source object presented in a source video is identified. Attribute information of the source object in respective frames of a sequence of source frames in the source video is identified. The attribute information represents an animation effect associated with the source object across the sequence of source frames. The attribute information is provided for use in reproducing the animation effect in a target video.

Animation effect reproduction

A quantizer for a sigma-delta modulator, a sigma-delta modulator, and a method of shaping noise are provided. The quantizer includes: an integrator configured to generate, in a Ksampling period, a quantization error signal for a Kperiod according to an internal signal, a quantization error signal for a (K&#x2212;1)period, a filtered quantization error signal for the (K&#x2212;1)period and a filtered quantization error signal for a (K&#x2212;2)period; an integrating capacitor configured to store the quantization error signal for the Kperiod, to weight the internal signal in a (K+1)sampling period; a passive low-pass filter configured to acquire the quantization error signal for the Kperiod in a Kdischarge period, and feed back the filtered quantization error signal to the integrator in a (K+1)sampling period and a (K+2)sampling period; and a comparator configured to quantize the quantization error signal for the Kperiod.

Quantizer for sigma-delta modulator, sigma-delta modulator, and noise-shaped method

Non-limiting examples of the present disclosure describe a convolutional neural network (CNN) architecture configured to evaluate conversational relevance of query-response pairs. A CNN model is provided that can include a first branch, a second branch, and multilayer perceptron (MLP) layers. The first branch includes convolutional layers with dynamic pooling to process a query. The second branch includes convolutional layers with dynamic pooling to process candidate responses for the query. The query and the candidate responses are processed in parallel using the CNN model. The MLP layers are configured to rank query-response pairs based on conversational relevance.

Conversational relevance modeling using convolutional neural network

Embodiments of the present disclosure provide a display panel, a mobile terminal and a method for controlling a mobile terminal which may allow a user to perform single hand operations on a large-size mobile terminal to improve the convenience of the mobile terminal. The display panel includes: a first substrate; a second substrate arranged opposite to the first substrate; and a single hand operation sensing unit arranged on the first substrate or the second substrate, which is configured to sense a single hand holding operation of a user and to trigger the display panel to demagnify an operation graphic interface displayed in full-screen and display the demagnified operation graphic interface in a predetermined single hand operation comfortable region positioned on the basis of a holding position in case that the single hand holding operation of the user is sensed.

Display panel, mobile terminal and method for controlling mobile terminal

The present disclosure provides a terahertz biological detection method and a device comprising the same, in which biological samples with different molecular formulas have their characteristic peaks in the terahertz band. In the process of sweeping frequency with terahertz, when the terahertz frequency point corresponds to the characteristic peak frequency of the substance to be detected, resonant absorption occurs, and the transmitted/reflected terahertz wave electric field intensity will suddenly decrease. In the electromagnetically induced transparency spectrum corresponding to the Rydberg quantum state, the signal splitting amplitude is significantly reduced. Therefore, the characteristic peak frequency and specific content of the substance to be detected can be accurately determined by comparing the dependence of the Rydberg quantum state with the additional terahertz electric field intensity on the excitation energy level.

Terahertz biological detection method based on five-level rydberg quantum state and device comprising same

This application discloses a notification display method. The method comprises: when there is a to-be-notified event, displaying, by a terminal, a notification by classification based on a notification type of the notification corresponding to the to-be-notified event; and displaying, by the terminal, in different display modes based on a priority of the notification, wherein the different display modes comprise: displaying in expanded form or displaying in collapsed form in the corresponding display pane, or the different display modes comprise: displaying in a first mode or displaying in a second mode in the corresponding display pane, and content displayed in the first mode is more than content displayed in the second mode.

Notification display method and terminal

An online system matches a user across multiple online systems based on image data for the user (e.g., profile photo) regardless whether the image data is from the online system, a different but related online system or a third party system. For example, to match the user across a social networking system and INSTAGRAM&#x2122; system, the online system compares the similarity between images of the user from both systems in addition to similarity of textual information in the user profiles on both systems. The similarity of image data and the similarity of textual information associated with the user are used by the online system as indicators of matched user accounts belonging to the same user across both systems. The online system applies models trained using deep learning techniques to match a user across multiple online systems based on the image data and textual information associated with the user.

Image based user identification across multiple online systems

Provided is a method for identifying authenticity and origin ofbased on terahertz spectroscopy. The time domain spectral information of thesample is obtained, and converted into the frequency domain spectral information by Fourier transform to calculate a terahertz absorption spectrum. The identification is performed by observing whether there are characteristic absorption peaks of pseudoginsenoside F11 in the terahertz absorption spectrum.

Method for identifying authenticity and origin ofbased on terahertz spectroscopy

A recommendation method applied to a terminal includes a rule platform with system-level permission, the rule platform is configured to save system resources and remind a user of a function of an application. The rule platform obtains a first event and a first rule related to the first event from a rule base. The rule platform includes the rule base including a rule and each rule includes a condition. The rule platform updates a matching status of a first condition corresponding to the first event in the first rule The terminal displays a recommendation result corresponding to the first rule when a matching status of each condition in the first rule indicates that the matching is successful. The first rule is one of the rule related to the first event.

Recommendation method and terminal

A computer implemented method, computer system and computer program product are provided for lost detection for paired mobile devices. According to the method, a processor receives behavior data of paired mobile devices from one or more sensors of the paired mobile devices, wherein the behavior data comprising one or more parameters that reflect current status of the paired mobile devices. And the processor compares the received behavior data with human behavior data model. And, in response to the received behavior data being not matched with the human behavior data model, the processor determines that at least one of the paired mobile devices is lost.

Lost detection for paired mobile devices

Growing community of inventors

Campbell, CA, United States of America

Li Zhou