International Business Machines Corporation

Other

Wayfair LLC

Globalfoundries Inc.

Kyndryl, Inc.

Trudy L Hewitt

Jeremy R Fox

Robert Huntington Grant

Francesco Carmine Schembari

Kelley Anders

Jonathan D Dunne

Jeremy A Greenberger

Al Chakra

John Anthony Feller

Liam S Harpur

Jana Helton Jenkins

Shadi Eskamaei Albouyeh

Zachary A Silverstein

Christina Lynn Wetli

Fang Lu

Zachary M Greenberger

Joseph Lam

Mark Patrick Delaney

John Rice

Christian Compton

Ashok Kumar Iyengar

James M Moreno

Venkata Vishwanath Gadepalli

Michael Scott Thomason

Lisa Seacat DeLuca

Paul R Bastide

Kimberly Dawn McCall

Debra J McKinney

Robert M Schwenn, Jr

William K Wentworth

Mauro Marzorati

James Edward Fox

Prasad Lakshmi Imandi

Lee A Jacobson

Stacy M Cannon

John Kennedy

Maryam Ahmed

Melissa Restrepo Conde

Kerry Arella Moffo

Gregory J Boss

Lin Sun

Robert John Moore

Meenakshi Nagarajan

Carolina Garcia Delgado

Heidi D Williams

Wilson Velez

Matthew Charles Hillary

Alan Chung

Mitchell Mason

Jonathan M Smith

Kenneth A Winburn

Merrilee Freeburg Tomlinson

Luc G Leblanc

Zachary Satira

Nathan Stewart

Sarbajit Kumar Rakshit

Shikhar Kwatra

Michael Bender

Martin Oberhofer

Qi Cheng Li

Tushar Agrawal

Uri Kartoun

Steven Edward Atkin

Alireza Pourshahid

Brett Ward

Saswati Dana

John C Rice

Timothy Brantner

Mayoore Selvarasa Jaiswal

Sonya Leech

Brian A O'Crowley

Paul Bergen

Shili Yang

Wesley A Hoffler

Hendrik Van Run

Lisa Ann Cassidy

Pauric Grant

According to an embodiment of the present invention, a method for detecting allergens using smart tooth and IoT is provided. The method includes obtaining real-time environmental allergen context data, wherein the obtained real-time environmental allergen context data includes visual data and sensor data. Features are extracted from the obtained real-time environmental allergen context data, including at least one detected environmental allergen type, an environmental allergen exposure pathway, and an environmental allergen concentration. A real-time unique allergic reaction risk score is generated for a user based on analysis of a user allergic risk profile and the extracted features from the obtained real-time environmental allergen context data. A real-time warning is generated to the user when the generated unique allergic reaction risk score exceeds a predetermined threshold.

Detecting allergens using internet of things

A cane for increased sweep coverage includes a first time-of-flight (TOF) sensor, a haptic feedback generator and a processor. The first TOF sensor is disposed at a first end of the cane and is configured to emit a first TOF beam. The haptic feedback generator is disposed towards a second end of the cane that is distally opposite from the first end of the cane. The processor is configured to receive signal data from the first TOF sensor, determine, based on the received signal data, whether an obstacle is present within the first TOF beam, and activate the haptic feedback generator in a first haptic feedback pattern in response to the processor determining that the obstacle is present. A method for using the cane to detect obstacles is also provided.

Wide sweep cane

An approach for improving completely automated public turing test to tell computers and humans apart (CAPTCHA) reliability for a resource. The approach receives a request for a CAPTCHA validation from a user. The approach retrieves a CAPTCHA analysis configuration associated with the user. The approach displays a CAPTCHA multi-zone display defined by the configuration. The approach receives video input containing adjunct objects, associated with objects visible on the user, from the user for the multi-zone display. The approach determines if the inputs are valid based on the CAPTCHA analysis configuration. The approach, responsive to the inputs being valid, allows access to the resource.

Multi-factor captcha with adjunct signals

An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

Summarizing multi-modal conversations in a multi-user messaging application

A method includes: receiving, by a computing device, user input defining a first location of a touchscreen of the computing device, the touchscreen displaying a user interface (UI) of an application; receiving, by the computing device, user input defining a second location of the touchscreen of the computing device; identifying, by the computing device, an interactive object of the UI at the first location; creating, by the computing device, an overlay including a copy of the interactive object and a masking object, the copy of the interactive object being at the second location and the masking object being at the first location; and causing, by the computing device, the touchscreen to display an output including the overlay superimposed over the UI.

Masked overlay for custom repositioning of interactive objects on a touchscreen of a computing device

A method, computer system, and a computer program product for optimizing social collaboration is provided. The present invention may include identifying content within a social collaboration history with a high level of engagement. The present invention may include generating one or more groups of unique topic keywords based on the identified content. The present invention may include receiving a potential post from a user. The present invention may include identifying an overlap between the potential post and at least one of the one or more groups of unique topic keywords. The present invention may include providing one or more recommendations to the user.

Information sharing with effective attention management system

A method for contextual data visualization includes receiving data selected by a user and meta-data associated with the data. The data is analyzed, using a processor of a computing device, to determine content and structure attributes of the data that are relevant to visualization of the data. The meta-data is analyzed, using a processor of the computing device, to determine a context in which the visualization of the data will be used. A database comprising an aggregation of visualization records from a plurality of users is accessed and at least one template from the data visualization records that matches the data attributes and context is selected. A data visualization is created by applying at least one template to the data.

Contextual data visualization

Ink saturation for a print job varies according to prioritized elements identified within a given document or print job. Elements are prioritized according to pre-defined values according to document type and identified elements within the document type. High priority elements of a document are assigned greater ink saturation than lower priority elements of the same document. Automated prioritization is made possible by a crowd-sourced knowledge corpus including pre-defined document types and corresponding elements of the documents. Historic configurations accepted by a user drive a learning process using a feedback loop for refined decision-making as print jobs are submitted for printing.

Variable ink saturation within a print job

A sentiment analysis of a chat session in which a plurality of chat messages are posted is performed. Based on the sentiment analysis, at least one emotive model is derived for the chat session. A sentiment of users in the chat session can be determined using the emotive model. A user composing a new chat message for the chat session can be monitored. Based on the monitoring, an impact on the sentiment of the users in the chat session by the new chat message can be determined. A client device can be initiated to display the impact on the sentiment of the users in the chat session by the new chat message before the new chat message is posted in the chat session.

Indicating sentiment of users participating in a chat session

A method, a computer system, and a computer program product for managing content relevancy is provided. Embodiments of the present invention may include collecting and analyzing a plurality of data, wherein the plurality of data includes document data, document access data and user data. Embodiments of the present invention may include retrieving topic model content based on the plurality of data. Embodiments of the present invention may include building a machine learning (ML) model to determine one or more topics contained in the topic model content. Embodiments of the present invention may include generating a heatmap based on the user data. Embodiments of the present invention may include building a content relevancy model (CRM) based on the ML model and the heatmap. Embodiments of the present invention may include determining an action state for the document data. Embodiments of the present invention may include storing the CRM.

Detecting and improving content relevancy in large content management systems

Audio of a user speaking is gathered while spatial data of the face of the user is gathered. Positions of elements of the face of are identified, wherein relative positions of the elements cause a plurality of qualities of the user voice. A subset of positions of the elements are identified to have caused a detected first quality of the user voice during the period of time. Alternate positions of the one or more elements are identified that are determined to cause the user voice to have a second quality rather than the first quality. A graphical representation of the face that depicts one or more adjustments from the subset of the positions to the alternate positions is provided to the user.

Graphical adjustment recommendations for vocalization

In an approach for identifying machinery conversion pivot opportunities utilizing a crowdsourced database, a processor receives machinery information for machinery of a user. A processor identifies a plurality of alternative uses for the machinery from a public cloud database based on the machinery information. A processor ranks the plurality of alternative uses for the machinery based on a set of factors. A processor sends the ranked plurality of alternative uses for the machinery to the user.

Machinery conversion pivot opportunity identification

In response to determining that an original message from a sender has been viewed by one or recipients of the original message, a determination is made whether the original message has been edited by the sender. In response to determining that the original message has been edited, another determination is made whether the edits are critical based, at least in part, on a change of context of the original message. In response to determining that the edits are critical, re-notifying the one or more recipients that the original message has been edited by the sender.

Message renotification

A method, computer system, and a computer program product for indicating a hyperlink record is provided. The present invention may include receiving a hyperlink. The present invention may also include searching a data structure including a repository of a plurality of hyperlinks stored in at least one user system, where each hyperlink in the repository of the plurality of hyperlinks includes a hyperlink record having at least one reference to the at least one user system. The present invention may then include identifying a record of the received hyperlink in the searched data structure. The present invention may further include, in response to identifying the record of the received hyperlink within the searched data structure, modifying the received hyperlink to indicate the at least one reference to the at least one user system.

Hyperlink visual indicator

Systems and methods of the invention determine evasiveness of postings and manage chat sessions accordingly. In embodiments, a method includes accessing a real-time text-based discourse session comprised of multiple text-based posts published by participants, the posts including a question from an author and responses from at least one respondent; determining relationships between words in the text-based discourse session utilizing corpus linguistics analysis; determining a frequency of the responses of the at least one respondent over time; determining an evasiveness score for each of the responses based on natural language processing of the responses, wherein each of the evasiveness scores indicate a level of relevance of a response with respect to the question; determining rankings for each of the responses based on the determined relationships of words, the frequency of the responses, and the evasiveness scores; and determining a display order for the responses based on the rankings of the responses.

Text-based discourse analysis and management

Growing community of inventors

Cary, NC, United States of America

Trudy L Hewitt