International Business Machines Corporation

Nikon Corporation

Other

Globalfoundries Inc.

Slingshot Iot LLC

Nec Corporation

Doordash, Inc.

Globalfoundries U.S. 2 LLC

Granite Vehicle Ventures LLC

Michael S Gordon

Clifford A Pickover

James R Kozloski

Ashish Kundu

Peter Kenneth Malkin

Komminist S Weldemariam

Kenneth Parker Rodbell

Maja Vukovic

Kevin W Brew

Charles Leon Arvin

Cyril Cabral, Jr

Ryan T Gordon

Jeng-Bang Yau

Michael A Gaynes

Jonathan Lenchner

Eric Peter Lewandowski

Shikhar Kwatra

Justin David Weisz

Gregory M Fritz

Rodney A Kendall

Nancy C LaBianca

Steven D Golladay

James D Rockrohr

Komminist Weldemariam

Sarbajit Kumar Rakshit

Eric Andrew Joseph

Jinho Hwang

Conal Eugene Murray

Christopher Frederick Robinson

Werner Stickel

Maris A Sturans

Abdigani Mohamed Diriye

Stacy Fay Hobson

Carl Emil Bohnenkamp

John Ulrich Knickerbocker

Tak H Ning

Paul Stephen Andry

Fuad Elias Doany

Thomas M Shaw

Xiao Hu Liu

Minhua Lu

Steven John Koester

Robert L Wisnieff

Steven Alan Cordes

Matthew Warren Copel

Heike E Riel

Sebastian Ulrich Engelmann

Qiang Huang

Ethan Harrison Cannon

Thomas David Erickson

Roxana Monge Nunez

Yu Luo

Benjamin L Fletcher

Hans C Pfeiffer

John Greg Massey

John George Hartley

Marc Yvon

Robert J Polastre

Wilfredo Ferre

Girmaw Abebe Tadesse

Meenal Pore

Nigel Hinds

Valentina Salapura

Milnes P David

Christopher Vincent Jahnes

Sri Muthuthamby Sri-Jayantha

Jeffrey Donald Gelorme

Phillip V Mann

Hiroyuki Miyazoe

Jerry M Chow

Talia S Gershon

Stephen Mark Rossnagel

Liang Chen

Yun Seog Lee

Brian Paul Gaucher

Arun Sharma

Anup Kalia

Evelyn Duesterwald

Mark Edward Podlaseck

Emmanuel Yashchin

Aisha Walcott

Christopher Michael Marroquin

Paul F Petric

Michael A Boraas

Paul Andrew Ronsheim

Ray Clement Laning

Samuel Kay Doran

Celia Cintas

David J Pinckney

Toby Kurien

Naweed Aghmad Khan

David F Heidel

Shinichi Kojima

Brandon R Christenson

Jerry Don Ackaret

Kala Fleming

Aparna Prabhakar

Isaac Waweru Wambugu

George W Doerre

Henry H K Tang

Computer assembly housing

A face mask and a method for fabricating a face mask. The face mask may comprise an air permeable membrane having an exterior surface and an interior surface, and a thermometer affixed to the exterior surface of the air permeable membrane. The air permeable membrane may be adapted to overlay a wearer's mouth and nose. The thermometer may be adapted to measure a temperature of the wearer and to allow other people in close proximity to the wearer see the temperature of the wearer at a glance.

Contextual personal protective equipment

A method, a structure, and a computer system for digital twin management. The exemplary embodiments may include gathering data corresponding to one or more bodily tissues and generating one or more digital twin versions of the one or more bodily tissues. In addition, the exemplary embodiments may further include identifying a most appropriate digital twin version of the one or more digital twin versions based on a health and a compatibility of the one or more digital twin versions, and distributing the most appropriate digital twin version.

Digital twin manager

Described are techniques for corroborating anomalous behavior. The techniques include training devices included in an Internet of Things (IoT) mesh network to independently identify occurrences of anomalous behavior in a proximate physical environment. The techniques further include receiving event data from at least a portion of the devices in the IoT mesh network corresponding to a time window, where the event data reports occurrences of at least one type of anomalous behavior. The techniques further include corroborating the at least one type of anomalous behavior to determine that the occurrences of the at least one type of anomalous behavior indicate an anomalous event that meets a reporting threshold for providing notice of the anomalous event. The techniques further include generating a notification regarding the anomalous event.

Corroborating device-detected anomalous behavior

A system and method that allows use of a product to review its users and generates a report summarizing how closely the product has been used according to its intended use. The product includes on-board and associated I-o-T sensors to differentiate between different users of the same product and provide data correlating usage how the product is used by each user. The system and method provide recommendations regarding how a typical behavior of each user can change during its use to optimize a product's its function, lifespan, efficiency. The report additionally serves to evaluate how effective each user is at rating the product by creating a feedback evaluation report and reliability score for each user, giving weight to basically all product reviews that the user may have submitted on other products. All customer reviews submitted online by a given user can be linked, for example by username, IP address, etc.

User feedback system on product usage

A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.

Controlling driving modes of self-driving vehicles

A computer-implemented method for correcting muffled speech caused by facial coverings is disclosed. The computer-implemented method includes monitoring a user's speech for speech distortion. The computer-implemented method further includes determining that the user's speech is distorted. The computer-implemented method further includes determining that a cause of the user's speech distortion is based, at least in part, on a presence of a particular type of facial covering. The computer-implemented method further includes automatically correcting the speech distortion of the user based, at least in part, on the particular type of facial covering causing the speech distortion.

Method and system for automatic detection and correction of sound caused by facial coverings

A method for measuring alpha particle emissions may include obtaining a wafer emission rate, wherein the wafer emission rate is measured with a counter. The method may further include covering the wafer with a metal mesh grounded to a cathode of the counter wherein the metal mesh is grounded to the cathode outboard of the wafer and obtaining a mesh and wafer emission rate, wherein the mesh and wafer emission rate is measured with the counter. The method may further include replacing the wafer with a wafer carcass, obtaining a wafer carcass and mesh emission rate, and calculating a wafer carcass emissivity.

Evaluation of wafer carcass alpha particle emission

A method, computer system, and a computer program product for interpreting conference call interruptions is provided. The present invention may include analyzing a conference call including at least two participants. The present invention may also include identifying at least one interrupted segment in the analyzed conference call. The present invention may further include reconstructing the identified at least one interrupted segment of the analyzed conference call and integrating it with the uninterrupted (heard) portion of the conference call.

Interpreting conference call interruptions

An exemplary method includes vehicle-mounted sensors continuously detecting vehicle speed and vehicle tire and steering vibrations; a processor implementing a machine-learning program that continuously monitors signals from the vehicle-mounted sensors and compares detected vehicle tire and steering vibrations to upper bounds corresponding to detected vehicle speed; and the processor alerting a vehicle driver that wheel or tire service is required based on the detected vehicle tire and steering vibrations exceeding the upper bounds. An exemplary apparatus includes a vehicle; tires mounted to the vehicle; a speed sensor mounted to the vehicle; a vibration sensor mounted to the vehicle; and a processor connected in communication with the speed sensor and the vibration sensor. The processor is adapted to implement any of the method steps above.

Predicting tire imbalance and/or wheel misalignment

A moving target service receives path of locations of a moving target monitored by a navigation device. The moving target service calculates at least one optimized course for at least one user to follow to intersect with the moving target at one or more future locations predicted based on the path of the locations and based on at least one context record. The moving target service outputs the at least one optimized course to a display interface accessible to the at least one user for directing the user to navigate from a starting point to at least one of the one or more future locations.

Navigating to a moving target

Techniques are described for providing live first aid response guidance using a machine learning based cognitive aid planner. In one embodiment, a computer-implemented method is provided that comprises classifying, by a system operatively coupled to a processor, a type of an injury endured by a patient. The method further comprises, employing, by the system, one or more machine learning models to estimate a risk level associated with the injury based on the type of the injury and a current context of the patient.

Providing live first aid response guidance using a machine learning based cognitive aid planner

A system, an article of manufacture, and a method are disclosed. The system includes a set of components in an enclosure. The set of components includes electronic devices and airflow moving components configured to maintain airflow across the electronic devices from a front plenum of the enclosure to a rear plenum of the enclosure and direct air from the rear plenum through the first heat exchanger. The set of components also includes a first heat exchanger configured to circulate a cooling liquid and a second heat exchanger configured to maintain a constant temperature of the cooling liquid, wherein the constant temperature is a temperature of the cooling liquid within a threshold distance from a selected temperature.

Constant temperature closed-loop airflow containment

Embodiments of the present invention describe predictively reconstructing a physical event using augmented reality. Embodiments describe, identifying relative states of objects located in a physical event area by using video analysis to analyze collected video feeds from the physical event area before and after a physical event involving at least one of the objects, creating a knowledge corpus including the video analysis and the collected video feeds associated with the physical event and historical information, and capturing data, by a computing device, of the physical event area. Additionally, embodiments describe identifying possible precursor events based on the captured data and the knowledge corpus, and generating a virtual reconstruction of the physical event using the possible precursor events, displaying, by the computing device, the generated virtual reconstruction of the predicted physical event, wherein the displayed virtual reconstruction of the predicted physical event overlays an image of the physical event area.

Predictive virtual reconstruction of physical environments

Growing community of inventors

Yorktown Heights, NY, United States of America

Michael S Gordon