International Business Machines Corporation

Kyndryl, Inc.

Craig M Trim

John Michael Ganci, Jr

James Edward Bostick

Sarbajit Kumar Rakshit

Martin G Keen

Gandhi Sivakumar

Shikhar Kwatra

Aaron K Baughman

Michael Bender

Jeremy R Fox

Sarvesh S Patel

Kushal S Patel

John Paul Kaemmerer

Victor Povar

Zachary A Silverstein

Kimberly Greene Starks

Mary E Rudden

Cesar Augusto Rodriguez Bravo

Adam Lee Griffin

Ahmed M Nassar

Mauro Marzorati

Michael Kevin Boudreau

Reinaldo T Katahira

Gregory J Boss

Tamer E Abuelsaad

Donna Karen Byron

Jia Chen

Shubhadip Ray

Wing L Leung

Rashida A Hodge

Hernan A Cunico

Tushar Agrawal

Michael Edward Alexander

Fang Lu

Rhonda L Childress

Lakshminarayanan Krishnamurthy

Stephen Carl Hammer

Garfield Winston Vaughn

Barton Wayne Emanuel

Christian Eggenberger

Micah Forster

Kulvir Singh Bhogal

Christopher J Dawson

Charles Evan Beller

Faried Abrahams

Gary Francis Diamanti

Uri Kartoun

Hyman David Chantz

Gray Franklin Cannon

Indervir Singh Banipal

Stan Kevin Daley

Shaila Pervin

Jamie Beth Marsnik

Christopher L Molloy

Stefan Van Der Stockt

Jennifer L Szkatulski

Jeremy A Greenberger

Nadiya Kochura

Joseph N Kozhaya

Todd Russell Whitman

Edgar Adolfo Zamora Duran

Sathya Santhar

Hemant Kumar Sivaswamy

Clement Decrop

Seng Chai Gan

Jacob Ryan Jepperson

Munish Goyal

Michael Man Behrendt

Raghuraman Kalyanaraman

Bradley T Moore

Tamer M Nassar

John Richard Feezell

Brian M O'Connell

Liam S Harpur

Vijay Ekambaram

Peter Kenneth Malkin

Jana Helton Jenkins

Andrew Ronald Freed

John David Wilson

Robert Huntington Grant

Soobaek Jang

Clea Anne Zolotow

Kelly Abuelsaad

Vinod A Valecha

Sreekanth Ramakrishna Iyer

Nader M Nassar

Sarah K Czaplewski-Campbell

Daniel C Krook

Barry Michael Graham

Tiberiu (Jim) Suto

Franz Friedrich Liebinger Portela

Gopal Sarma Pingali

Roxana Monge Nunez

Natalie Brooks Powell

Christopher Eythan Holladay

David Alonso Campos Batista

Norbert Herman

Jennifer M Hatfield

Melissa K Miller

Wayne Francis Tackabury

Systems and methods for ranking search results according to a knowledge level of a user are provided. A computer-implemented method includes: receiving, by a computing device, a search query from a user via a user computer device; determining, by the computing device, a plurality of results based on the search query; determining, by the computing device, a respective expertise level for each of the plurality of results; ranking, by the computing device, the plurality of results based on a knowledge level of the user and the respective expertise level for each of the plurality of results; and outputting, by the computing device, the ranked plurality of results to the user computer device.

Ordering search results based on a knowledge level of a user performing the search

A computer-implemented method includes monitoring, by a computing device, sensor data during gameplay of a sporting event; determining, by the computing device, predictive factors associated with a target based on the monitoring the sensor data; determining, by the computing device, a real-time region of effectiveness for the target based on the predictive factors and training data identifying historical effectiveness of the target; and outputting, by the computing device, the real-time region of effectiveness for displaying the real-time region of effectiveness around the target.

Dynamically determining a region of effectiveness of athletes during game play based on predictive factors

Embodiments of the present invention provides methods, computer program products, and a system for maintain application compliance. Embodiments of the present invention identify locations of potentially sensitive data. Embodiments of the present invention identify a set of individuals associated with the potentially sensitive data and determine whether an application can be installed based on content of potentially sensitive data and on elections of respective individuals associated with the potentially sensitive data.

Data security compliance for mobile device applications

Methods, computer program products, and systems are presented. The methods can include, for instance: generating a plurality of deep transfer learning networks. Further, the methods can include, for instance: encoding one or more transfer layers.

Transfer learning based on cross-domain homophily influences

A method, computer system, and computer program product for utilizing crowdsourcing of images captured by individuals to determine the status of a subject is provided. The embodiment may receive, by a processor associated with a broad beacon, an impulse. The embodiment may also transmit a request to each client device within a preconfigured distance through the broad beacon based on the received impulse. The embodiment may further, in response to an acceptance of the transmitted request by a user associated with a client device, initializing a pairing sequence between the client device and an aimable beacon. The embodiment may also transmit information to identify a subject of photographic capture from the aimable beacon to the client device. The embodiment may further receive an image captured by the user based on the received information.

Object attribution derivation via crowd-sourced optical sensors

In an approach to determining the optimal size and shape of additive manufactured packaging, a delivery location corpus, a storage location corpus, and a transportation mechanism corpus are received. A notification to design a package for an item is received. The optimal design attributes are determined for the delivery location. The optimal design attributes are determined for the storage location. The optimal design attributes are determined for the transportation mechanism. The additive manufactured packaging for the item is designed based on the optimal design attributes for the delivery location, the storage location, and the transportation mechanism.

Determining optimal size and shape of additive manufactured packaging

An approach for assisting users with disabilities in an emergency situation relating to a vehicle is disclosed. The approach determines the profile of the passenger in a vehicle by noting preferences and disabilities associated with the passenger. After a vehicle accident, the approach determines the condition of the vehicle and the condition of the passenger. Based on various information received, the approach creates an action list of solutions for the passenger, wherein the action list has assigned dynamic risk scores. The approach determines the best solution based on the risk scores and selects the best solution from the action list.

Assistance from autonomous vehicle during emergencies

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining prediction data that are indicative of media use behaviors of a user; and predicting, in dependence on the prediction data, a pattern of the media use behaviors of the user.

Dynamic media use control service

A method, system and computer program product includes identifying, by one or more processors of a computer system, a relevant tutorial to a user using a machine learning ontology tree, and providing, by the one or more processors of the computer system, the identified relevant tutorial to an augmented reality device of the user.

Augmented reality tutorial generation

According to one embodiment, a method, computer system, and computer program product for selecting methods of interfacing between a smart headset and a user based on privacy risk is provided. The present invention may include determining a privacy context of the smart headset based on the location, surrounding environment, and content associated with a smart headset, selecting at least one output method and at least one input method compatible with the smart headset based on the security of the output method and the input method within the privacy context, and operating the smart headset to interface with a user using the at least one output method and the at least one input method.

AI privacy interaction methods for smart glasses

A method, computer system, and computer program product for asynchronous content embedding is provided. The embodiment may include receiving a plurality of text and data associated with an element of media content. The embodiment may also include displaying the plurality of received text on a display screen. The embodiment may further include caching the received data until all data to fully display the element is received. The embodiment may also include identifying an insertion point for the element within the plurality of displayed text. The embodiment may further include displaying the element at the insertion point.

Embedding asynchronous content in text

A computer-implemented method includes identifying, by a computer device, particular users of a digital publishing platform, the particular users being users that have commented on previous content published by a first user; identifying, by the computer device, correlated users, the correlated users being those particular users that have published a pertinent comment; assessing, by the computer device, a satisfaction level of the first user with each pertinent comment; identifying, by the computer device and based on the assessing, a set of users of the correlated users, each of the correlated users in the set of users having published a pertinent comment having a satisfaction level above a threshold; notifying, by the computer device, the set of users that the first user has published new content; detecting, by the computer device, new comments by the correlated users in the set of users, the new comments pertaining to the new content; assessing, by the computer device, a satisfaction level of the first user with each new comment; and updating, by the computer device, the set of users based on the satisfaction level of the first user with each new comment.

Feedback enabled network curation of relevant content thread

The present invention may include a computer receives multimedia data. The computer parses the multimedia data into an audio stream. The computer analyzes the audio stream to identify recognized patterns. The computer calculates a probability of an undesired content based on the recognized patterns and taking an action based on determining the probability is above a threshold.

Contextual smart switching via multi-modal learning mechanism

From an unstructured content using an ontology, a forward materialization graph is generated. The forward materialization graph is converted to a set of vector representations comprising multidimensional numbers representing elements of the forward materialization graph. A set of inference paths is computed for the set of vector representations. An inference path in the set of inference paths connecting a first vector representation with a second vector representation. Based on a set of features, the set of vector representations is formed into clusters, a feature in the set of features comprising a relevance probability, the relevance probability corresponding to a relevance of a portion of the unstructured content according to a relevance metric. A structured representation of the unstructured content is placed at an edge location of a content delivery network determined using the set of clusters.

Phrase based unstructured content parsing

Techniques for probabilistic analysis of chemicals are provided. An indication of a proposed chemical composition is received. A predicted toxicity score is generated for the proposed chemical composition by performing probabilistic analysis on the proposed chemical composition. The probabilistic analysis includes identifying, based on a knowledge graph, at least one similar composition that is structurally similar to the proposed chemical composition. The analysis also includes identifying a set of chemical reactions that include the at least one similar composition, and determining one or more products of the identified set of chemical reactions. The probabilistic analysis further includes determining a toxicity of at least one of the one or more products. Finally, the predicted toxicity score is returned.

Automated transitive read-behind analysis in big data toxicology

Growing community of inventors

Ventura, CA, United States of America

Craig M Trim