Huami Inc.

Applied Materials, Inc.

Anhui Huami Information Technology Co., Ltd.

International Business Machines Corporation

Sipix Imaging, Inc.

Amazon Technologies, Inc.

Sipix Chemical Inc.

Novasolar Holdings Limited

Fei C Wang

Ting Chen

Robert Jan Visser

Yajun Zhao

Nitin K Ingle

Yuanxiang Wang

Abhijit Basu Mallick

Jixiang Su

Anchuan Wang

Rui Cheng

Hongmei Zang

Xiaojia Wang

Yi-Shung Chaug

Yuchen Wang

Rong-Chang Liang

Wei Tan

Mikhail Korolik

Xin Liu

Haiyan Gu

Yajuan Chen

Jack Hou

Wang Huang

Kangtai Ren

Wanheng Wang

Jing-Den Chen

Joseph G Gordon

Christopher Allan White

Chia-Pu Chang

Joseph Alexander Zuromski

Ludovic Godet

Pramit Manna

Yixiong Yang

Hui W Chen

Prerna Sonthalia Goradia

Subramanya P Herle

Robert Z Bachrach

Jianying Hu

Connie P Wang

Kurtis Leschkies

Wei V Tang

Michael C Kutney

Zihui Li

Jun Li Wang

Vinod Muthusamy

Kun Bai

John Erik Wittern

Dongqing Yang

Andrew C Ho

Siqing Lu

Shishi Jiang

Geetika Bajaj

Hooman Bolandi

David R Morris

Hui Wang

Hao Hu

Yifei Wang

Aditya Pal

Nitin Deepak

Lala Zhu

Zhaonan Sun

Jingjing Xu

Wenyi Liu

Victor Pebenito

Xin Huo

Miaojun Wang

Palanidaran Chidambaram

Scott C J Tseng

Hongda Mao

Surendran Rangasamy

Kai-Chia Feng

Gary Y M Kang

Hong Mei Zang

Wei Xie

Quan Gu

Philip Chihchau Liu

Tina Wu

Mu Yu

GirishKumar Gopalakrishnan Nair

Ryne M H Shen

Systems and methods for indexing data include formulating an objective function to index a dataset, a portion of the dataset including supervision information. A data property component of the objective function is determined, which utilizes a property of the dataset to group data of the dataset. A supervised component of the objective function is determined, which utilizes the supervision information to group data of the dataset. The objective function is optimized using a processor based upon the data property component and the supervised component to partition a node into a plurality of child nodes.

Indexing of large scale patient set

Methods for selective silicon film deposition on a substrate comprising a first surface and a second surface are described. More specifically, the process of depositing a film, treating the film to change some film property and selectively etching the film from various surfaces of the substrate are described. The deposition, treatment and etching can be repeated to selectively deposit a film on one of the two substrate surfaces.

Selective deposition of silicon using deposition-treat-etch process

Embodiments of the present disclosure relate to processes for filling trenches. The process includes depositing a first amorphous silicon layer on a surface of a layer and a second amorphous silicon layer in a portion of a trench formed in the layer, and portions of side walls of the trench are exposed. The first amorphous silicon layer is removed. The process further includes depositing a third amorphous silicon layer on the surface of the layer and a fourth amorphous silicon layer on the second amorphous silicon layer. The third amorphous silicon layer is removed. The deposition/removal cyclic processes may be repeated until the trench is filled with amorphous silicon layers. The amorphous silicon layers form a seamless amorphous silicon gap fill in the trench since the amorphous silicon layers are formed from bottom up.

Method for Si gap fill by PECVD

A method for configuring a monitoring component for a user includes receiving an electrocardiograph (ECG) signal from an ECG component, receiving a weight signal from a scale component, and combining features extracted from the ECG signal and the weight signal to generate a current biometric signal. Responsive to the current biometric signal matching a historical biometric signal, the method includes obtaining a user profile and determining a health status for association with the user profile by classifying the current biometric signal using disease models and fitness models.

Biometric scale

A system, method and program product for providing cascade prediction. A system is disclosed having: a computing system for receiving observed cascade data, wherein the observed cascade data includes a set of nodes impacted prior to a preliminary time; a sub-cascade processing engine that determines a sub-cascade size of each node in the set of nodes; survival analysis system that utilizes a networked Weibull regression to determine a survival rate of each node in the set of nodes; and a calculation system that applies the survival rate to the sub-cascade size of each node in the set of nodes to generate a predicted cascade size at a future time.

Cascade prediction using behavioral dynmics

Methods of selectively depositing a mask layer on a surface of a patterned substrate and self-aligned patterned masks are provided herein. In one embodiment, a method of selectivity depositing a mask layer includes positioning the patterned substrate on a substrate support in a processing volume of a processing chamber, exposing the surface of the patterned substrate to a parylene monomer gas, forming a first layer on the patterned substrate, wherein the first layer comprises a patterned parylene layer, and depositing a second layer on the first layer. In another embodiment, a self-aligned patterned mask comprises a parylene layer comprising a plurality of parylene features and a plurality of openings, the parylene layer is disposed on a patterned substrate comprising a dielectric layer and a plurality of metal features, the plurality of metal feature comprise a parylene deposition inhibitor metal, and the plurality of parylene features are selectivity formed on dielectric surfaces of the dielectric layer.

Selectively deposited parylene masks and methods related thereto

A wearable biometric measurement device includes a ring body having interior and exterior surfaces, an electrocardiogram component including first and second electrodes wherein a single lead electrocardiogram is formed upon contact with the first electrode and the second electrode, a pulse oximeter component including a light emitter and a photodetector wherein the photodetector receives one or more signals transmitted by the light emitter, and a communication component. A system for measuring and processing biometric data includes a wearable biometric measurement device, a monitor device, and a server. A method for measuring biometric data using a wearable biometric measurement device includes pre-processing biometric signals, feature extraction on the signals, and event prediction with respect to the signals.

Wearable biometric measurement device

The method of treating a film stack includes depositing a barrier film containing a metal into a via formed within a dielectric layer disposed on a substrate and depositing a metal contact on the barrier film within the via, where a void is located within the barrier film or between the barrier film and the metal contact. The method also includes exposing the metal contact and the barrier film to an oxidizing agent at a temperature of less than 400&#xb0; C. and at a pressure of about 20 bar to about 100 bar within a process chamber to produce a metal oxide within the void.

High pressure annealing of metal gate structures

A method for processing electrocardiograph (ECG) data using a garment includes determining, by a processor, a current working lead from ECG leads formed in advance using flexible electrodes in the garment based on a current ECG monitor type, and receiving, by the processor through lead wires corresponding to the current working lead, ECG data collected by flexible electrodes corresponding to the current working lead. A wearable apparatus for processing ECG data includes at least two flexible electrodes, in which the at least two flexible electrodes are capable of forming different leads based on predetermined configurations, at least two lead wires, and an ECG data collector configured to receive ECG data collected by the at least two flexible electrodes, in which each of the at least two flexible electrodes connects to the ECG data collector via at least one of the at least two lead wires.

Garment and cardiac data processing

An apparatus, method and computer program product for proactive comprehensive generic risk screening. The method performs proactive comprehensive generic risk screening by implementing steps of training comprising steps of receiving cross domain risks and features, optimizing linkage regularization using the received features and the received cross domain risks, said linkage regularization comprising multi-task predictive model training, feature selection and ranking, risk association learning and risk association selection, and outputting patient risk scores, identified high risk patients, risk factors for risks and risk groups, and risk groups and risk associations and calculating risk score for an individual patient comprising steps of receiving individual features comprising patient information, performing said linkage regularization using the received individual features and outputting patient risk scores for said individual patient, and high risk for said individual patient. The calculating risk score can be performed for more than one patient.

Method for proactive comprehensive geriatric risk screening

Precursors, such as interhalogens and/or compounds formed of noble gases and halogens, may be supplied in a gaseous form to a semiconductor processing chamber at a predetermined amount, flow rate, pressure, and/or temperature in a cyclic manner such that atomic layer etching of select semiconductor materials may be achieved in each cycle. In the etching process, the element of the precursor that has a relatively higher electronegativity may react with select semiconductor materials to form volatile etching byproducts. The element of the precursor that has a relatively lower electronegativity may form a gas that may be recycled to re-form an precursor with one or more halogen-containing materials using a plasma process.

Selective atomic layer etching of semiconductor materials

Method and apparatus for processing a biometric measurement signal using a computing device, including receiving a biometric measurement signal generated by contact with a single individual, extracting at least one periodic fragment from the biometric measurement signal, generating first feature data at least partially based on the at least one extracted periodic fragment, determining second feature data from the first feature data by removing data from the first feature data using robust principal component analysis, determining whether a match exists between the second feature data and defined biometric data associated with a known individual by processing the second feature data and the defined biometric data using a machine learning technique, and in response to determining a match exists between the second feature data and the defined biometric data, transmitting a signal indicating that the single individual is the known individual.

Method, apparatus and system for biometric identification

Monitoring heart activity using a wearable device, including receiving, from the wearable device, an electrocardiograph (ECG) signal and a motion signal associated with an individual upon contact with the wearable device; in response to receiving the ECG signal and the motion signal associated with the individual, determining, by a computing device, a position of the wearable device in contact with the individual; and determining, by the computing device, a heart activity monitoring mode for operating the wearable device, based on the position of the wearable device in contact with the individual.

Episodical and continuous ECG monitoring

Systems, methods, and an event detection apparatus, for the detection of an imminent adverse physiological event, such as an epileptic seizure or cardiac event. Physiological state data can be generated based on at least one of pre-processed physiological state data, electrocardiogram (ECG) signals, and motion sensor signals. A plurality of features from the physiological state data can be extracted. The plurality of features can be classified based on a predetermined classifier. Responsive to the plurality of features corresponding to at least one of a plurality of adverse physiological event profiles, an adverse physiological event can be determined to be imminent.

Adverse physiological events detection

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Fremont, CA, United States of America

Fei C Wang