International Business Machines Corporation

Kyndryl, Inc.

Wayfair LLC

Lenovo (singapore) Pte. Ltd.

Servicenow, Inc.

Rhonda L Childress

David B Kumhyr

Michael Bender

Michael John Spisak

Neil Raymond Pennell

Itzhack Goldberg

Kim Alice Eckert

Evelyn R Anderson

Neil Sondhi

Ryan D McNair

Clifford A Pickover

Stewart Jason Hyman

Stephen James Watt

Michael Boone

Rahul Gupta

Timothy James Hahn

George E Stark

Edward Tyrone Childress

Jente Benedict Kuang

Minh Q Pham

Lisa M Chavez

Patrick Joseph Brooks

Gregory J Boss

Maja Vukovic

Manvendra Gupta

Ea-Ee Jan

Jeremy R Fox

James R Kozloski

Craig M Trim

Maharaj Mukherjee

Mary E Rudden

Pamela Ann Nesbitt

Tedrick Neal Northway

John Falk Kelley

Randy Scott Johnson

Joanna W Ng

Stan Kevin Daley

Marc Dickenson

Catherine Helen Crawford

Michael P Shute

Bradley Dale Childs

Bradley Kenneth Wells

Donna M Hickey

Ward K Harold

Aviad Zlotnick

Cesar Augusto Rodriguez Bravo

Liana Liyow Fong

Hari Haranath Madduri

Lorraine M Herger

Boaz Mizrachi

Thomas J Fleischman

Michael H Kalantar

Daniel S Riley

Todd R Palmer

Martin G Keen

Kevin Charles Mcconnell

Ramakrishnan Rajamony

Eric Van Hensbergen

Jeffrey Charles Turnham

Martin Tross

Kenneth David Christiance

Moriel Lechtman

Thomas M Ruiz

Abigail Alice Tittizer

Elfred Pagan

Andrew Julius Greff

Leucir Marin, Jr

Manjari Roy

Gregg W Machovec

William A Lemke

Prabhakar Gopalan

Sarbajit Kumar Rakshit

Lisa Seacat DeLuca

Su Liu

Zachary A Silverstein

Jeb R Linton

David Darden Chambliss

Julianne Frances Haugh

Amy D Travis

Eric Michael Anderson

Christopher Kent Karstens

Adam Lee Griffin

Michael Elton Nidd

Ravi Prakash Bansal

Natalie Brooks Powell

John F Behnken

Srinivas Babu Tummalapenta

John E Dinger

Christopher L Molloy

Oded Dubovsky

Sandra Juni Schlosser

Gautam K Bhat

John Richard Feezell

Andrew Paul Barnes

Thanh V Lam

Jonathan Samn

Charles Campbell Palmer

Dorothea W Wiesmann

Robert Madey, Jr

Carlos E Aguilera

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

Systems and methods provide dynamic adjustment of content displayed on image-enabled clothing articles to address obstructed visibility of the content. In embodiments a method includes determining, by a computing device, movement of at least a portion of an image-enabled clothing article based on real-time sensor data from sensors of the image-enabled clothing article; determining, by the computing device, that a view of at least a portion of image content displayed on the image-enabled clothing article is obstructed based on the determined movement, parameters of the image-enabled clothing article and image display information of the image-enabled clothing article; and generating, by the computing device, image instructions that cause the display of the image content on the image-enabled clothing article to move from a first area of the image-enabled clothing article to a second area of the image-enabled clothing article.

Dynamic display for image-enabled clothing

Aspects of the present disclosure relate to personal protective equipment (PPE) management. A set of personal protective equipment (PPE) data describing use time limits of respective PPE articles of a set of PPE articles can be received. Use of a PPE article of the set of PPE articles can be monitored using one or more sensors. A determination can be made whether a PPE usage rule of the PPE article is satisfied based on the monitoring, where the PPE usage rule is based on at least a use time limit of the PPE article. A PPE recommendation action can be issued in response to determining that the PPE usage rule of the PPE article is satisfied.

Personal protective equipment (PPE) management

A system and method for bandwidth management are provided. In embodiments, a method includes: training, by a computing device, a predictive machine learning (ML) model based on historic network usage data of software applications in a cloud environment and historic business context data; assigning, by the computing device, priority rankings to software application activities of the cloud environment using the predictive ML model based on predicted resource requirements for the software application activities of the cloud environment and predicted contextual scenarios that impact the predicted resource requirements using an input of real-time network usage data of the cloud environment and real-time business context data; and initiating, by the computing device, scheduling of the software application activities based on the priority rankings.

Dynamic network management based on predicted usage

A document of written content may be obtained. The document may be a candidate for inclusion in a corpus. A first entity associated with the document may be identified. A first discrete entity associated with the first entity may be identified. The relationship associated with the first entity and the first discrete entity may be analyzed. Based on the analyzing, a likelihood that the document contains content that would be detrimental for inclusion in the corpus may be determined.

Categorization of document content based on entity relationships

Universal serial bus (USB) devices are evaluated for access according to characteristics including descriptors and ROM information. Descriptors are cross-references to historic descriptors known to be associated with malicious or approved USB devices. ROM information is analyzed to determine congruity of data. Device drivers and configuration files on the USB device are reviewed for indicators of compromise or threat and assigned a corresponding security score. Security actions are taken according to a security score assigned according to matching descriptors and analyzed ROM information.

Security screening of a universal serial bus device

A processor may load one or more potential updates to a trusted source from an identified trusted source. The processor may determine acceptable update windows. The processor may apply at least one of the one or more potential updates to the computing device. The processor may identify if a steady state has been reached. The processor may determine whether the at least one update has succeeded.

Autonomous management of temporal updates and rollbacks

A method, computer program product, and system includes a processor(s) determining, based on obtaining data from the one or more sensors over the wireless communications connection, that individuals are within a given vicinity. The processor(s) queries personal computing devices associated with the individuals to determine an identity of each individual in the given vicinity. The processor(s) assigns a service provider(s) to a portion of the identified individuals. The processor(s) obtains preference information related to the portion and determines environmental information related to an environment experienced by the portion by locating at least one sensor within a predetermined distance of the portion, and communicating, over the wireless communications connection, with the at least one sensor. The processor(s) generate simulations for providing services to the portion that include temporal parameters and selects an optimal simulation. The processor(s) communicates instructions to achieve aspects of the optimal simulation to the service provider(s).

Smart sensor-based consumer service optimization

Monitoring medicine dispensing is disclosed. A set of events from an intelligent container is received. The intelligent container belongs to a set of intelligent containers, each container associated with a medicine. It is determined whether the set of events satisfies a rule associated with the intelligent container. If the rule is satisfied, a message is created to be sent to a subscribing device as a result of the determination.

Intelligent container for medicine dispensing control

Data-analysis-based processing is provided to validate audio content delivery via embedded inaudible sound signals. The processing obtains, by a validation system, an indication of detection of an inaudible sound signal embedded in an audio output of provided content initiated by a user on a user-device. The inaudible sound signal is inaudible to the user, and the audio output is from the user-device. Based on obtaining the indication of detection of the inaudible sound signal embedded in the audio output, the validation system validates that the audio output of the provided content is ON with respect to the user-device.

Audio content validation via embedded inaudible sound signal

A method, computer program product, and a system where a processor(s) obtains data related to physical activities performed by an individual from a sensor(s) proximate to the individual. The processor(s) cognitively analyzes the data to identify baseline behavioral patterns of the individual, when the individual is engaged in each of the physical activities. The processor(s) obtains data indicating consumption of a substance by the individual at a first time. The processor(s) determines impacts of the consumption on the baseline behavioral patterns of the individual and generates a data structure (a predictive model) that includes expected deviations from the baseline behavioral patterns of the individual, when the individual has consumed the substance.

Predictive model for substance monitoring and impact prediction

Embodiments of the present invention provides a systems and methods for pest control. The system detects one or more pests based on receiving sensor data from one or more sensors associated with a predefined location. The system analyzes the sensor data with cognitive machine learning based on the detected pests. The system generates a treatment recommendation report based on the analysis and outputs the treatment recommendation report.

Manage and control pests infestation using machine learning in conjunction with automated devices

A security application may monitor applications attempting to be installed on a user device. In one example, various steps may include at least one of: receiving an application access operation on a computing device, identifying at least one application action associated with the application access operation, retrieving an application security profile stored in memory, identifying at least one application security restriction in the application security profile related to the at least one application action, restricting the at least one application action from occurring based on the at least one application security restriction and notifying a pre-registered device responsive to restricting the at least one application action.

Remote permissions monitoring and control

A user may be aided in modifying a product that is an assemblage of parts. This aid may involve a processor obtaining images of a target part captured by the user on a mobile device camera. The processor may compare, based on the captured images and a plurality of images of identified parts, the target part to the identified parts. Based on the comparison, the processor may determine an identity of the target part. This aid may also involve a processor obtaining images of a first configuration of a partial assembly of the product captured by a mobile device camera. The processor may compare, based on the captured images, the first configuration to a correct configuration of the partial assembly. Based on the comparison, the processor may determine that the first configuration does not match the correct configuration and may notify the user accordingly.

Using photogrammetry to aid identification and assembly of product parts

Disclosed embodiments provide techniques for providing vehicular recommendations based on driver habits. Embodiments utilize a variety of input data, including, but not limited to, static vehicular data, dynamic vehicular data, and/or environmental data. In embodiments, empirical rules are used to adjust recommended maintenance schedules based on the input conditions. Additionally, the adjusted recommendations along with unscheduled maintenance data are input to a machine learning system, such as a neural network. The machine learning system is used to further revise the maintenance schedule, estimate end of life of the vehicle, and issue recommendations for when to sell a vehicle and recommendations on attributes of a new vehicle for acquisition.

Vehicle recommendations based on driving habits

Growing community of inventors

Austin, TX, United States of America

Rhonda L Childress