International Business Machines Corporation

Kyndryl, Inc.

Jeremy R Fox

Sarbajit Kumar Rakshit

Zachary A Silverstein

Kelley Anders

Michael Bender

Liam S Harpur

Gregory J Boss

Shikhar Kwatra

Jonathan D Dunne

Tushar Agrawal

Trudy L Hewitt

Mauro Marzorati

Craig M Trim

Jacob Ryan Jepperson

Lisa Seacat DeLuca

Martin G Keen

Clement Decrop

Andrew R Jones

Fang Lu

Christian Compton

John Elbert Moore, Jr

Spencer Thomas Reynolds

Kulvir Singh Bhogal

Atul Mene

Todd Russell Whitman

Jeremy A Greenberger

Logan Bailey

John David Wilson

John Rice

Grant Douglas Miller

Jana Helton Jenkins

Melanie Dauber

Rick A Hamilton, Ii

Uri Kartoun

Kevin Charles Mcconnell

Cesar Augusto Rodriguez Bravo

Raghuveer Prasad Nagar

Jennifer M Hatfield

Brian M O'Connell

Rhonda L Childress

Robert Huntington Grant

Gary Francis Diamanti

Stan Kevin Daley

Aaron K Baughman

Jill S Dhillon

Alexander Reznicek

Bahman Hekmatshoartabari

Maharaj Mukherjee

Charles Evan Beller

Randy Allan Rendahl

Paul N Krystek

Tiberiu (Jim) Suto

Natalie Brooks Powell

Manjunath Ravi

Chris Kau

Samir Nasser

Su Liu

Nadiya Kochura

Adam Lee Griffin

Mary E Rudden

Thomas Jefferson Sandridge

Corville O Allen

Christopher J Hardee

Dana Lea Price

Sushain Pandit

Ching-Yun Chao

Michael C Hollinger

Indervir Singh Banipal

Christian Benjamin Kau

Kyle Gene Brown

William Reilly

John Michael Ganci, Jr

Peeyush Jaiswal

Sarvesh S Patel

Jonathan Lenchner

Kushal S Patel

Mark Patrick Delaney

David Bruce Lection

Hernan A Cunico

Florian Pinel

Mark B Stevens

Vinod A Valecha

Jun Su

Hemant Kumar Sivaswamy

Alexandre Polozoff

Abhishek Jain

Mu Qiao

Gary Denner

Todd P Seager

Sumit Patel

Priyansh Jaiswal

Ping Xiao

Ann Corrao

Shubhadip Ray

Pratyush Kumar

Barton Wayne Emanuel

Mickey Iqbal

Jagadesh Ramaswamy Hulugundi

Shilpa Shetty

Jacob Thomas Covell

Embodiments detect a task keyword related to an offloaded task of a task-giver, train a machine learning (ML) model using the task keyword, determine that the task keyword is similar to a historical task by utilizing the trained ML model, record a user input in response to determining that the task keyword is similar to the historical task, freeze an action execution during a pseudo action before a finality action is executed, provide the recorded user input to the task-giver and requesting approval from the task-giver, and execute the offloaded task using robotic process automation (RPA) in response to receiving approval from the task-giver.

Ad-hoc pseudo completion task

A processor may receive first object data associated with a first object to be transported. The processor may receive vehicle data associated with one or more potential vehicles for transportation of the first object. The processor may receive context data associated with a context for the transportation of the first object. The processor may simulate the transportation of the first object utilizing each of the one or more potential vehicles using digital twin simulation. The processor may select a first vehicle of the one or more potential vehicles based on an optimization of an optimization factor associated with an outcome of the digital twin simulation.

Digital twin simulation for transportation

Managing a package delivery system deploying an unmanned vehicle including an inflatable unit for reducing package vibration in a transportation vehicle. Package data is received at a computer, and the package data includes package descriptions. Spatial positioning of the packages in the transport space is tracked to determine, spatial positioning changes between the packages in the transport space based on the package data received at the computer and the transport. One or more unmanned vehicles are delivered to the transport space based on the spatial positioning changes in the transport space, and the unmanned vehicles including inflatable units. The inflatable units are deployed in the transport space by inflating the inflatable units at locations in the transport space based on the spatial positioning changes to discourage package movement in the transport space.

Reducing package vibration during transportation by initiating mobile vehicles based on computer analysis

A computer-implemented method for document concatenation and ontological structuring. The method includes identifying a downloaded file and determining whether the downloaded file is associated with one or more saved files. Based on determining that the downloaded file is associated with the one or more saved files, developing an ontological structure storing the downloaded file and the one or more saved files.

Document concatenation and ontological structuring based on similarities

A computer-implemented method, according to one embodiment, includes identifying a plurality of user devices determined to run a predetermined software version and a predetermined application. A first of the identified user devices is assigned to be a primary user device, and a second of the identified user devices is assigned to be a first backup user device. In response to a determination that the first identified user device launches the predetermined application, the second identified user device is caused to launch the predetermined application. In response to a determination that the first identified user device experiences a predetermined interruption event while using the predetermined application, the second identified user device is assigned to be the primary user device and the first identified user device is assigned to be the first backup user device.

Selective failover between a plurality of devices concurrently running an application

A digital model is generated of a debris location where the digital model includes an augmented reality overlay of the debris location. Digital data from sensors at a debris field is received at a computer, and the digital data depicts debris in the debris field. Materials in the debris field are detected and identified based on the detected materials in the debris field. Layers of materials in the debris field are identified. A digital model is generated of the materials in the debris field including in the layers. Using the computer and an augmented reality (AR) device, an augmented reality overlay is generated based on the digital model of the materials in the debris fields. The augmented reality overlay is superimposed over the digital model of the materials in the debris field to indicate the materials in the debris field and the materials in the layers of the debris field.

Augmented reality overlay of digital model of debris location to detect environmental risks

Systems and methods synchronize content of a virtual environment with a state of a physical environment. In aspects, a method includes obtaining sensor data from a network of remote sensors measuring a physical state of a location at a time; generating context specific parameter data based on the sensor data; obtaining context data from a remote virtual reality (VR) system, wherein the context data reflects a current state of virtual content in a virtual environment displayed by the remote VR system; selecting virtual content to be displayed in the virtual environment by the remote VR system based on the context specific parameter data, the context data, and rules; and sending the virtual content to the remote VR system to be displayed to a user, wherein the virtual content reflects a state of the physical location at the time.

Physical and virtual environment synchronization

In an approach for providing a user with a set of information on a feature of a comparable product and enabling the user to assess the feature by overlaying the user's product with a digital twin of the comparable product, a processor identifies a first product in a surrounding of the user by comparing an image of the first product to one or more images stored in a product corpus. A processor searches, based on the first product, the product corpus for one or more products within a family of the first product. A processor selects a second product from the product corpus based in part on a set of product comparison preferences. A processor overlays the first product with a digital twin of the second product. A processor simulates a feature associated with the second product that is different from a feature associated with the first product.

Augmented reality overlay of feature and versioning improvement

The exemplary embodiments disclose a method, a computer program product, and a computer system for determining the context of media. The exemplary embodiments may include a user consuming media, collecting data of the media, extracting one or more features from the collected data, and determining a media context based on the extracted one or more features and one or more models.

Displaying contextual information of media

Text is received from a user describing item(s) for migration to a computing environment with cloud feature(s), resulting in item description(s), the text including unstructured text that are processed separately. Text mining is performed on the unstructured text to extract item feature(s). For each listing a portion of the unstructured text is extracted, resulting in an extracted text portion for each listing from which an entity is identified. Each entity or item feature is mapped to cloud feature(s) available from solution(s) with cloud feature(s). Based on the cloud feature(s), recommendation(s) are made to the user regarding cloud feature(s) of the solution(s) for optional consideration by the user. Explanation(s) for the recommended cloud feature(s) from explainability model(s) may be provided to the user.

Computing environment provisioning

A context aware code snippet recommendation method, system, and computer program product that includes generating comments for source code, learning semantically meaningful sentence embeddings based on the comments, and retrieving code snippets from the source code based on the learned semantically meaningful sentence embeddings.

Context aware code snippet recommendation

Embodiments of the invention are directed to a computer-implemented method that includes receiving, using a processor, data representing a 3D physical object by a processing device, and controlling, using the processor, a 3D printing device to apply successive layers of a material by a printing head including a nozzle. The controlling includes depositing at least one layer by instructing a snake robot of a configurable track system to form a shape and define a movement track that corresponds to a movement profile aligned with the 3D model, moving the printing head along the movement track defined by the snake robot, and depositing the at least one layer via the nozzle as the printing head is moved along the movement track.

Three-dimensional printing using configurable movement tracks

According to one embodiment, a method, computer system, and computer program product for selectively recording meetings is provided. The embodiment may include initiating a digital meeting. The embodiment may also include determining two or more rule sets, including one or more local rule sets, for selectively recording the digital meeting, wherein each rule set includes one or more rules. The embodiment may further include recording one or more recordings of the digital meeting according to each local rule set.

Selective recording of meeting content

A process is provided for usage-pattern-based generation of a digital model of a product. The process includes obtaining a usage pattern of a user of a product, where the usage pattern includes a set of usage pattern parameters. In addition, the process includes using a machine learning model of an artificial intelligence system to generate a 3-D virtual image of the product aligned with the usage pattern, and analyzing, by the artificial intelligence system, the 3-D virtual image of the product to facilitate identifying a requirement specification for the product based on the usage pattern. Further, the process includes generating a digital model of a new product for the user based on the identified requirement specification.

Usage-pattern-based generation of digital product model

A method, computer system, and a computer program product for multi-content interactions is provided. The present invention may include detecting a user engaging with a first content and a second content simultaneously. The present invention may also include determining that the user is more engaged with the second content relative to the first content. The present invention may further include executing a content preserving action to enable the user to reengage with the first content without missing any segments of the first content.

Multi-content interactions

Growing community of inventors

Georgetown, TX, United States of America

Jeremy R Fox