Dionex Corporation

Microsoft Technology Licensing, LLC

Hewlett Packard Enterprise Development LP

Aruba Networks, Inc.

Linkedin Corporation

Landing Ai

Oncoimmune, Inc.

Yan Liu

Nebojsa Avdalovic

Christopher A Pohl

Hamish Small

John M Riviello

Kannan Srinivasan

Zhongqing Lu

Victor Manuel Berber Barreto

Sheetal Bhardwaj

Huan Hoang

Gordon Paul Gray

Anthony Burke

David Munro

Krishnaram Kenthapadi

Hao Lu

Archava Siriraks

Zachary Mason Roth

Pradeep Iyer

Michael John McAdams

Shaobo Liu

Petr Jandik

Jun Cheng

Jikui Pei

Victor Berber Barreto

Mrinal Sengupta

Khosro Moshfegh

Peter G Schultz

Wei Peng Huang

Yue Li

Kai Yang

Xu Zou

Yin Wang

Rong Lin

Chi-Yi Kuan

Rajini Balay

Kangchang Huang

Shipeng Yu

Francisco Matias Cuenca-Acuna

Andrew Yan-Tak Ng

Gary L Gleave

Glenn Masami Kuse

Jinhua Chen

Yongjing Chen

Yu Qing Zhou

Bing Wang

Mark William Sabini

Alexandre Lee

Hao Lv

Pingyang He

Vibhu Prakash Saxena

Milton Liu

Derek Crovo

Daniel Bibireata

Song Lin

Sami N Malek

William Dale Case

Guojun Zhang

Boyu Zhang

Victor M Barreto

Kuo-Ning Huang

Ankur Rawat

Sebastian Rodriguez

Quinn Killough

Junjie Guan

Whit Blodgett

Aldrin Leal

Ramesh Sampath

Angelo Rubero

Camilo Zapata

Juan Camilo Fernancez

Cristobal Silva

Sanjay Bodhu

Zeqi Qiu

Burcu Baran

Ying Xi

Alexander Shoykhet

Ajita Thomas

Arachava Siriraks

Yunjing Zhang

Tian Tian

Leela Seshu Reddy Cheedepudi

Camilo Iral

Mingrui Zhang

Feng Wang

Yong Zhang

Yang Liu

Pan Zeng

Charles Strom

Weimin Sun

Ben Anderson

Michael John Mcadams

Michael Mcadams

Victor Manuel Berber Baretto

The present invention relates to, in general, a disposable electrically insulating substrate surface comprising a platinum hydrogen reference electrode system structure, the use of such a substrate in a flow-through electrochemical cell assembly and methods of manufacturing said substrate. For example, in some embodiments, a disposable electrically insulating substrate surface comprising a platinum hydrogen reference electrode system structure, wherein the platinum hydrogen reference electrode system comprises an electrically conductive and electrochemically active platinum hydrogen reference electrode system region bound as a layer, directly or indirectly, to said substrate surface.

Disposable thin-film platinum hydrogen reference electrode

A novel analytical system and method to analyze complex carbohydrates such as human milk oligosaccharides by low-temperature High-Performance Anion Exchange Chromatography with Pulsed Amperometric Detection and High-resolution Mass Spectrometry (HPAE-PAD-MS). The analytical system controls the temperature of the column, electrochemical detector, and ion removal device at or below 15° C. The HPAE-PAD workflow with high-resolution mass spectrometry provides useful molecular structure information. It facilitates the detection of milk oligosaccharides, particularly unknown structures, without the use of analytical standards.

Low temperature oligosaccharide analytical system and method

A model management system adaptively refines a training dataset for more effective visual inspection. The system trains a machine learning model using the initial training dataset and sends the trained model to a client for deployment. The deployment process generates outputs that are sent back to the system. The system determines that performance of predictions for noisy data points are inadequate and determines a cause of failure based on a mapping of the noisy data point to a distribution generated for the training dataset across multiple dimensions. The system determines a cause of failure based on an attribute of the noisy datapoint that deviates from the distribution of the training dataset and performs refinement towards the training dataset based on the identified cause of failure. The system retrains the machine learning model with the refined training dataset and sends the retrained machine learning model back to the client for re-deployment.

Model management system for improving training data through machine learning deployment

An electrolytic eluent generator includes an electrolyte reservoir and at least one eluent generation cartridge. The electrolyte reservoir includes a chamber containing an aqueous electrolyte solution; and a first electrode. The at least one eluent generation cartridge includes a platinum mesh electrode; a polymer screen; a plurality of reinforced membranes; a membrane washer; and a spacer including a central post and an annular projection.

Configuration for ultra high pressure electrolytic eluent generators

Systems and methods for inhibiting translocation of ions across ion exchange barriers include an eluent generator having an ion source reservoir with a first electrode, an eluent generation chamber with a second electrode, an ion exchange barrier disposed therebetween, and means for reversing the polarity of a voltage or current applied across the first and second electrodes. A first polarity voltage or current applied across the electrodes generates an electric field that promotes translocation of eluent counter ions from the reservoir across the barrier, where the counter ions combine with eluent ions electrolytically generated in the chamber. By reversing the polarity of the voltage or current across the electrodes, the resulting electric field inhibits translocation of counter ions across the barrier from the reservoir into the chamber. Reverse voltage or current bias reduces counter ion concentration in the resting chamber to prevent exhaustion of ion suppressor capacity during start up.

Fast startup ion chromatography system and methods

Example implementations relate to upgrading access points (APs). In some examples, a primary AP may comprise a processing resource and a memory resource storing machine readable instructions to determine, in response to receiving a data transmission from a secondary AP, whether an image version of the secondary AP and a class of the secondary AP are a same image version and class as the primary AP, determine whether the class of the secondary AP is a same class as a seed AP, and instruct the secondary AP, in response to the seed AP being the same class as the secondary AP, to upgrade the image version of the secondary AP from the seed AP.

Upgrading access points

Embodiments are directed to host discovery for firewall coordination. An embodiment of a storage medium includes instructions for discovering a network topology for a network branch, the network branch including multiple access points including a first access point, the first access point having an interface to a network, the discovery of the network topology including identifying any access point that is linked to the first access point directly or via one or more intermediary access points; discovering one or more host devices that are connected by wireless or wired connections to one or more access points in the network branch; and generating a firewall coordination plan for the network branch based on the discovered network topology and the discovered one or more hosts, the firewall coordination plan including applying a firewall process for an access point to which a first host device is attached and bypassing one or more other firewall processes.

Firewall coordination in a network

Techniques are provided for using machine learning techniques to identify predictive features and predictive values for each feature. In one technique, a model is trained based on training data that comprises training instances, each of which corresponds to multiple usage-based features of an online service by a user. For each usage-based feature in a subset of the usage-based features, the model is used to generate a dependency graph, a histogram is generated, and an optimized value is selected based on the dependency graph and the histogram. A user of the online service is identified, along with a usage value that indicates a level of usage, by the user, of a usage-based feature. A comparison between the usage value and an optimized value of the usage-based feature is performed. Based on the comparison, it is determined whether to present data about that usage-based feature to the user.

Machine learning techniques to identify predictive features and predictive values for each feature

According to one embodiment, a method comprises automatically uploading device information from a first network device in a first operating state to a second network device in response to an event, such as an initial power up. The second network device is part of the cloud, and thus, providing cloud-based services. Subsequent to the uploading of the device information, the first network device receives information controlling the operation of the first network device based on the device information.

Zero touch provisioning

The technical problem of identifying relevant social proof information with respect to a premium service for a given member profile in an online connection network system is addressed by, first, capturing the associated member's intent based on the member's activity on the web site provided by the online connection network system. The determined intent is used as input into a relevance machine learning model that is executed to identify the member's connection who is a subscriber to the premium service and who has been identified as the most convincing resonated connection of the member with respect to subscribing to the premium service.

Machine learning based system for identifying resonated connections in online connection networks

A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein are directed to a Key Feature Engine receives a request for a desired number of key features to be identified from a data set in at least a portion of a database. The Key Feature Engine executes instances of multiple types of machine learning data models on the data set to calculate respective regression coefficients, in each machine learning data model instance, for each feature in a plurality of features defined by a plurality of data categories of a social network service. The Key Feature Engine identifies at least one key feature, of one or more instances of the multiple types of machine learning data models, based on a value of a corresponding regression coefficient.

Understanding business insights and deep-dive using artificial intelligence

An analyte concentration can be measured at an electrochemical detector using a waveform that includes a reductive voltage. The waveform may include three or four different voltages, in which at least one of the voltage values is reductive. One or more current or charge values can be measured during at least part of a reductive voltage portion of the waveform. The analyte concentration can be calculated based on the measured one or more current or charge values.

Method of measuring an analyte with a reductive detection waveform

Growing community of inventors

Santa Clara, CA, United States of America

Yan Liu