International Business Machines Corporation

Kyndryl, Inc.

Zachary A Silverstein

Jeremy R Fox

Shikhar Kwatra

Robert Huntington Grant

Jacob Ryan Jepperson

Sarbajit Kumar Rakshit

Spencer Thomas Reynolds

Clement Decrop

Logan Bailey

Craig M Trim

Melanie Dauber

Martin G Keen

Trudy L Hewitt

Lisa Seacat DeLuca

Jonathan D Dunne

Jacob Thomas Covell

Tiberiu (Jim) Suto

Michael Seth Silverstein

Michael Bender

Kelley Anders

Su Liu

Fang Lu

Cesar Augusto Rodriguez Bravo

Liam S Harpur

Todd Russell Whitman

Hemant Kumar Sivaswamy

Thomas Jefferson Sandridge

Gregory J Boss

Charles Evan Beller

Indervir Singh Banipal

Suman Patra

Natalie Watkins

John Michael Ganci, Jr

Mauro Marzorati

Victor Povar

Jennifer M Hatfield

Hamid Majdabadi

Kelly Camus

Alan Chung

Daniel Ruiz

Alvin Zhang

Madeleine Eve Barker

Ruchika Bengani

Naga ManojKasyap Chilakamarthy Venkata

Brian M O'Connell

Andrew R Jones

Komminist S Weldemariam

Qi Cheng Li

Mark Patrick Delaney

Nadiya Kochura

Raghuveer Prasad Nagar

Tushar Agrawal

Adam Lee Griffin

Uri Kartoun

Melissa Restrepo Conde

Caleb Miles

Jayanth Krishnan

Raden Tonev

Neerju Neerju

Mark Turano

Juan C Lopez

Paul Bergen

Aaron K Baughman

Vijay Ekambaram

Rhonda L Childress

Jana Helton Jenkins

Manish Anand Bhide

Sushain Pandit

Hernan A Cunico

Gary Francis Diamanti

Smitkumar Narotambhai Marvaniya

Munish Goyal

Shubhadip Ray

Pratyush Kumar

Barton Wayne Emanuel

Krishnan Sugavanam

Christian Compton

William Robert Taylor

Jill S Dhillon

Stefan Van Der Stockt

Samir Nasser

Jennifer L Szkatulski

Richard Daniel Gunjal

Komminist Weldemariam

Ravithej Chikkala

Cedric D Cook

Saswati Dana

Pritesh Patel

Sudhir Alluri

Rodrigo Goulart Silva

Carlos E Aguilera

Neil Delima

Mukesh Muraleedharan Nair

Mayoore Selvarasa Jaiswal

Nicholas Bokun

John Edward Martin

Norton Samuel Augustus Stanley

Clarissa Ho

Weixin Xu

Iranna Dharmaraya Ankad

An approach for enhancing retrieval of drill through data is provided. A determination is made as to whether a source report generated from query results of a query by a user contains a data item that is associated with drill through data. In response to a positive determination, a data drill MetadataBot (DDMB) is initiated. In response to activation, the DDMB searches metadata associated with the query results to identify a set of DDMB parameters for the data item. These DDMB parameters can include the cell that contains the data item and a target report containing the drill through data for the cell. Based on this search, the DDMB generates an augmented report that contains a visual identifier for the drill through data-associated cell, allowing the user to retrieve the target report by interacting with the visual identifier.

Artificial intelligence based bot-enhanced retrieval of drill through data

A method, computer system, and a computer program product for dynamic speech modulation is provided. The present invention may include transmitting a first response to a received command. The present invention may include determining the first response is not understood by a user. The present invention may include transmitting a second response to the received command.

Dynamic virtual assistant speech modulation

According to one embodiment, a method, computer system, and computer program product for mixed-reality peripheral interfacing is provided. The present invention may include recording, with a camera, video footage of a peripheral held by a user participating in a mixed-reality environment; extracting, by a processor, peripheral data from the video footage; extracting interface data from the video footage; extracting input data entered into the peripheral by the user; responsive to determining that one or more keybindings do not match the peripheral, rebinding one or more keybindings of the peripheral based on the peripheral data; displaying a virtual representation of the peripheral to the user within the mixed-reality environment based on the peripheral data; and displaying a virtual representation of the user interacting with the virtual representation of the peripheral within the mixed-reality environment based on the interface data and the input data.

Dynamic augmented reality and screen-based rebinding based on detected behavior

A computer implemented method processes log events. A computer system determines dependence and independence of training log events. The computer system clusters the training log events with determined dependence and independence to form clustered training log events. The computer system generates an event association model using the clustered training log events. The computer system clusters the log events using the event association model.

Artificial intelligence driven log event association

According to one embodiment, a method, computer system, and computer program product for iteratively improving a virtual model of an object to be printed in a mixed reality environment is provided. The present invention may include rendering the virtual model within the mixed-reality environment; monitoring interactions between a user and the virtual model within the mixed-reality environment; predicting one or more deficiencies in the physical object based on the monitoring; suggesting one or more edits of the virtual model to the user to address the one or more predicted deficiencies; and integrating the one or more edits into the virtual model.

Iterative virtual reality modeling amelioration for three-dimensional to-be-printed objects and virtual reality filament sections

A method for persisting a robotic process automation (RPA) session receives, through an RPA authentication engine, a software application site being interacted with by an end user. The RPA authentication engine deploys a bot running the RPA session on the software application site. The RPA authentication engine identifies login credentials of the end user associated with the software application site. The RPA authentication engine receives confirmation of an initial login to the software application site by the end user. The RPA authentication engine iteratively interfaces with the software application site using the login credentials to persist the RPA session.

Robotic process automation log-in method for authentication

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 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

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

Resource parity scaling includes receiving in real time a plurality of machine-generated input signals from a computer network, the machine-generated signals generated during simultaneous real-time executions of multiple processes using human and compute resources. Based on analyzing the plurality of machine-generated signals, a performance level of each process is determined. The performance level of each process is compared with one or more predetermined key performance indicator (KPI) metrics corresponding to each process. Responsive to the comparing different combinations of the human and compute resources are allocated for performing different ones of the multiple processes. The allocating is based on resource-specific incremental conversion factors corresponding to the compute and human resources. One or more output signals are conveyed to the computer network indicating the different combinations.

Resource parity scaling using key performance indicator metrics

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

In several approaches, a processor feeds an interaction by a user into a recurrent neural network (RNN) model. A processor identifies, using the RNN model trained to identify a specific workflow based on the interaction, an in-process workflow of the user. A processor predicts, using the RNN model, a next interaction of the user based on a next expected step in the in-process workflow. A processor performs at least one optimization function related to the next interaction of the user including at least one of autofocusing on a next user interface (UI) element associated with the next expected step in the in-process workflow, snapping a text cursor to the next UI element associated with the next expected step in the in-process workflow, and providing a UI prompt with a link to the next UI element associated with the next expected step in the in-process workflow.

UI workflow optimization based on expected next UI interaction

The illustrative embodiments provide for signature discourse transformation. An embodiment includes detecting a signature discourse of a user by analyzing the user's discourse using corpus linguistics. The embodiment also includes generating computing a collection of words distinct to the user. The embodiment also includes sensing, using tone analysis and a natural language process model, a tone of the collection of words distinct to the user in the signature discourse utterance. The embodiment also includes mapping a cartesian value of the collection of words distinct to the user. The embodiment also includes deriving a signature discourse transformation (SDT) model from the signature discourse utterances, the collection of words, the tone, and the cartesian value. The embodiment also includes transforming, using the signature discourse transformation, an original discourse by the user into an anonymized text.

Signature discourse transformation

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

Jacksonville, FL, United States of America

Zachary A Silverstein