Bloom Energy Corporation

Other

Google Inc.

Ecolab Inc.

At&t Bell Laboratories

The Ohio State University

The University of North Carolina at Chapel Hill

The Penn State Research Foundation

Danfoss A/s

American Power Conversion Corporation

Joy Mm Delaware, Inc.

Applied Materials, Inc.

Massachusetts Institute of Technology

Salesforce, Inc.

Bushnell Corporation

James Wilson

Tad Armstrong

Manoj Pillai

Kai Chen

Matthias Gottmann

Harald Herchen

Martin Perry

Daniel E Pedersen

Francis Lawrence Richter

David Edmonston

Alvin Rishi Rajkomar

Eyal Oren

Hector Yee

Michaela Hardt

Jeffrey Adgate Dean

Quoc V Le

John N McGarvey

Yi Zhang

Gordon E Sylvester

Kun Zhang

Gregory Sean Corrado

Emad El Batawi

Michael Gasda

Yingwei Cui

Lin Xiang Sun

Andrew M Dai

Daniel J Darga

Nissan Hajaj

Jin Yan

Zhong-Lin Lu

Peter Junteng Liu

Andres Leming

Tulin Akin

Benjamin Irvine

Ramesha Guntanur

Paturi Balaji Narasimha Prasad

James Wexler

Ruiguo Gao

Edward W Festa

Patrik Sundberg

Xiaobing Liu

Chung-Dee Pong

Xiaomi Sun

Matthew Denny

Paul Stillman

Alexander Mossin

Brenden Richman

James Chang

Jacob Marcus

John Mullett

Nicolaas Petrus Van Wyk

Skyler Cranmer

Bruce Desmarais

Shankar Bhamidi

Arne Watson Ballantine

Oleg Rogynskyy

Abhilash J Mayur

William E Ziegler

Yurii Brunets

Jose Lejin P J

Abraham Murray

John Fisher

Mark H Germagian

Jeremy J Odegard

John Carl Costello

Devin Rice

Fred William Rodenhiser

Michael Manganese

Joseph Dechene

Douglas Wayne Miller

Marilyn M Wolfson

David A Schmitt

Jane E Morgan

Albert Briner

Richard Goddard

Barbara Forman

Robert G Hallowell

Michael Lesher

Colin D Campbell

Robert E Preller

Donald L Miedama

Gary Fernandez

Ken Kane

Gerardo Flores

Michael Moore

Jonathan Cerrona

Gavin Duggan

Edward G Kleiman

Deepanshu Badola

Jerome A Mack

Kurt Litsch

Joshua Baime

James Tadlock

Kyle Goddard

Sehkar Muddana

Murtaza Doctor

Neeraj Agarwal

John Lyon-Smith

Scott Mendel

Pieter deGroot

System and method for network address based blocking for multiple substrates. The method includes receiving a block request to block one or more network addresses. The method also includes storing the one or more network addresses in a block list at a database repository. The block list includes a data structure with advanced schema. The advanced schema is configurable to allow for downstream processing of the block list across multiple substrates. The block list is used to block incoming traffic from or outgoing traffic to the one or more network addresses at accounts across the multiple substrates.

System and methods for network address based blocking for multiple substrates

Example embodiments relate to a method for training a predictive model from data. The method includes defining a multitude of predicates as binary functions operating on time sequences of the features or logical operations on the time sequences of the features. The method also includes iteratively training a boosting model by generating a number of new random predicates, scoring all the new random predicates by weighted information gain with respect to a class label associated with a prediction of the boosting model, selecting a number of the new random predicates with the highest weighted information gain and adding them to the boosting model, computing weights for all the predicates in the boosting model, removing one or more of the selected new predicates with the highest information gain from the boosting model in response to input from an operator. The method may include repeating the prior steps a plurality of times.

Human-in-the-loop interactive model training

In some aspects, the techniques described herein relate to a refrigerant compressor, including: a stator; a rotor configured to rotate with respect to the stator; and at least one step seal between the rotor and the stator, wherein the step seal includes a first tooth and a second tooth extending from the rotor toward the stator, wherein a downstream surface of the first tooth and an upstream surface of the second tooth are arranged at an angle relative to one another, wherein the angle is less than 90°.

Step seal for refrigerant compressors

A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.

System and method for predicting and summarizing medical events from electronic health records

In some aspects, the techniques described herein relate to a refrigerant compressor, including: a stator; a rotor configured to rotate with respect to the stator; and at least one step seal between the rotor and the stator, wherein the step seal includes a first tooth and a second tooth extending from the rotor toward the stator, wherein a downstream surface of the first tooth and an upstream surface of the second tooth are arranged at an angle relative to one another, wherein the angle is less than 90&#xb0;.

A fuel cell stack assembly and method of operating the same are provided. The assembly includes a fuel cell stack column and side baffles disposed on opposing sides of the column. The side baffles and the fuel cell stack may have substantially the same coefficient of thermal expansion at room temperature. The side baffles may have a laminate structure in which one or more channels are formed.

Fuel cell stack assembly and method of operating the same

Systems and methods are described herein for modeling neural architecture. Regions of interest of a brain of a subject can be identified based on image data characterizing the brain of the subject. the identified regions of interest can be mapped to a connectivity matrix. The connectivity matrix can be a weighted and undirected network. A multivariate transformation can be applied to the connectivity matrix to transform the connectivity matrix into a partial correlation matrix. The multivariate transformation can maintain a positive definite constraint for the connectivity matrix. The partial correlation matrix can be transformed into a neural model indicative of the connectivity matrix.

Systems and methods for modeling neural architecture

A solid oxide fuel cell (SOFC) includes a solid oxide electrolyte with a zirconia-based ceramic, an anode electrode, and a cathode electrode that includes a ceria-based ceramic component and an electrically conductive component. Another SOFC includes a solid oxide electrolyte containing a zirconia-based ceramic, an anode electrode, and a cathode electrode that includes an electrically conductive component and an ionically conductive component, in which the ionically conductive component includes a zirconia-based ceramic containing scandia and at least one of ceria, ytterbia and yttria.

SOFC cathode compositions with improved resistance to SOFC degradation

A fuel cell assembly includes a fuel cell stack including a plurality of fuel cells, an incoming oxidizing gas flow path configured to deliver an oxidizing gas to the plurality of fuel cells, and a chromium-getter material located in the incoming oxidizing flow path. A fuel cell includes an electrolyte, a cathode electrode on a first side of the electrolyte, an anode electrode on a second side of the electrolyte, and a chromium-getter material on the cathode electrode.

Systems and methods for suppressing chromium poisoning in fuel cells

The systems and methods described herein can use multiple fields with dynamically determined priorities based on field values for node resolution. The system can generate activity field-value pairs including an activity value associated with an activity field from an electronic activity. The system can determine a frequency score based on a first count of node field-value pairs that match the activity value. The system can assign a weight to the activity value based on the frequency score. The system can generate a match score of a candidate node profile indicating a likelihood that the electronic activity is transmitted or received by an account corresponding to the candidate node profile. The system can store an association between the electronic activity and the node profile selected based on the match score.

Systems and methods for node resolution using multiple fields with dynamically determined priorities based on field values

Various methods of treating a chromium iron interconnect for a solid oxide fuel cell stack and coating the interconnect with a ceramic layer are provided.

Coatings for SOFC metallic interconnects

A method of coating an interconnect for a solid oxide fuel cell includes providing an interconnect including Cr and Fe, and coating an air side of the interconnect with a manganese cobalt oxide spinel coating using a plasma spray process.

Coatings for metal interconnects to reduce SOFC degradation

Growing community of inventors

San Francisco, CA, United States of America

James Wilson