International Business Machines Corporation

Kyndryl, Inc.

International Business Machines Coproration

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

Mauro Marzorati

Trudy L Hewitt

Craig M Trim

Jacob Ryan Jepperson

Lisa Seacat DeLuca

Martin G Keen

Clement Decrop

Fang Lu

Andrew R Jones

Christian Compton

John Elbert Moore, Jr

Spencer Thomas Reynolds

Kulvir Singh Bhogal

Todd Russell Whitman

Atul Mene

Logan Bailey

Jeremy A Greenberger

Jana Helton Jenkins

John David Wilson

John Rice

Grant Douglas Miller

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

Tiberiu (Jim) Suto

Jill S Dhillon

Alexander Reznicek

Bahman Hekmatshoartabari

Maharaj Mukherjee

Charles Evan Beller

Randy Allan Rendahl

Paul N Krystek

Natalie Brooks Powell

Manjunath Ravi

Chris Kau

Carolina Garcia Delgado

Su Liu

Nadiya Kochura

Sushain Pandit

Adam Lee Griffin

Mary E Rudden

Thomas Jefferson Sandridge

Corville O Allen

Christopher J Hardee

Dana Lea Price

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

Jun Su

Mark B Stevens

Vinod A Valecha

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

An embodiment for dynamically converting a virtual reality (VR) classroom into a VR breakout session is provided. The embodiment may include receiving educational content from a VR educational session and profiles of a plurality of users. The embodiment may also include identifying a topic of the educational content. The embodiment may further include extracting a plurality of real-world use cases relevant to the identified topic from a knowledge corpus. The embodiment may also include in response to determining at least two users have at least one overlapping learning preference, dividing the at least two users into a subgroup. The embodiment may further include converting the VR educational session into a smaller VR breakout session containing at least one real-world use case conforming to the at least one overlapping learning preference. The embodiment may also include displaying the converted VR educational session to the at least two users in the subgroup.

Dynamic conversion of VR classroom into VR breakout session

Mitigating GPS inaccuracy is provided. The method comprises identifying a required level of location accuracy for an activity of an autonomous system and determining, according to GPS coordinates, a location of the autonomous system. A determination is made, according to a knowledge base created by historical learning, whether GPS location accuracy at the location of meets the required level of location accuracy for the activity. Responsive to a determination that the GPS location accuracy at the location of the autonomous system does not meet the required level of accuracy, location determination is handed off to an installed infrastructure within proximity of the autonomous system which provides the required level of location accuracy. The autonomous system then performs the activity according to location information provided by the installed infrastructure.

Proactive mitigation of GPS accuracy errors

A system for layer-by-layer three-dimensional (3D) printing of a 3D printed object. The system includes a printing component configured to print a plurality of layers to form the 3D printed object, a surface modification component configured to be co-operable with the printing component and configured to apply an appropriate degree of surface roughness to at least one of the plurality of layers after being printed, and a controller configured to identify parameters of each of the at least one of the plurality of layers and configured to control operation of the printing component and the surface modification component, wherein the parameters include the appropriate degree of surface roughness.

Method and system of three-dimensional printing to prepare surface for gripping of subsequent layers

Methods for intelligent management of asset workflows are disclosed herein. One method includes predicting that a user is going to perform a predetermined action based on one or more user movements included in a signal received from a wearable sensing device and generating, by a processor, a warning of one or more consequences of the user performing the predetermined action. The method further includes displaying, on augmented reality glass, the warning to the user prior to the user actually performing the predetermined action. Also disclosed herein are systems and apparatus that can include, perform, and/or implement the operations of the methods.

Systems, apparatus, program products, and methods for intelligent management of asset workflows

A method, a structure, and a computer system for playback optimization. The exemplary embodiments may include transcribing an audio stream at normal and at high playback speed, as well as determining whether portions of the audio stream are unintelligible at the high playback speed. The exemplary embodiments may further include reducing a speed of the high playback speed for portions determined unintelligible, and transcribing the audio stream with the unintelligible portions played at the reduced high playback speed. The exemplary embodiments may further include determining whether the unintelligible portions are still unintelligible at the reduced high playback speed and, if not, identifying the reduced high playback speed as an optimal playback speed of the unintelligible portions. The exemplary embodiments may additionally include, in response to receiving a request to play the audio stream at the high playback speed, playing the unintelligible portions at the optimal playback speed.

Audio playback and captioning

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 embodiment for improved authentication of chatbot users for chat history recovery. The embodiment may record a first chat conversation between a first chat service operator and a first user, wherein the first chat conversation includes a first-step authentication and a chat history. The embodiment may detect a request to resume the first chat conversation. The embodiment may, in response to detecting the request to resume the first chat conversation, initiate a recovery process by sending a random-generated token to the first-step authentication. The embodiment may receive verification of the random-generated token. The embodiment may generate, by a large language model, one or more authentication questions based on content of the chat history. The embodiment may authenticate the first user based on one or more correct answers to the one or more authentication questions. The embodiment may resume the first chat conversation including the chat history.

Cross-platform chatbot user authentication for chat history recovery

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

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

A capture operation is identified. The capture operation is performed by a first capture device. The capture operation is of a video steam of a subject that is located in an environment. The video stream includes a perspective of the subject. A capture limitation of the first capture device, related to capturing the subject, is determined. In response to the capture limitation one or more candidate capture devices in the environment are detected. A second capture device is selected as a selected capture device, from the one or more candidate capture devices. The second capture device is instructed to perform the capture operation. The video stream is transferred from the first capture device to the second capture device; the transfer maintains the perspective.

Multiple entity video capture coordination

Aspects of the present disclosure relate to dynamic adjustment of shared content within web conferences. Web conference data associated with a web conference can be received. A determination can be made that a condition is met for adjusting shared content that is currently being shared within the web conference. An adjustment to make to the shared content that is currently being shared within the web conference can be determined. The shared content can be adjusted based on the determination to generate adjusted shared content. The adjusted shared content can be displayed within the web conference.

Dynamic adjustment of shared content within web conferences

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

A vehicle and/or fleet of vehicles that are equipped with: (i) a wind velocity detection device (for example, an ultrasonic wind velocity detection device); and (ii) a vehicle velocity detection device (for example, lidar or a speedometer and compass). Computer hardware performs two dimensional, or three dimensional, vector calculations in order to net out a stationary wind velocity from the measurements made at each vehicle. The computer hardware and software for performing the vector calculations and outputting stationary wind speed may be located in the vehicle or remotely from it (for example, at the headquarters of a weather prediction company).

Technology for calculating stationary wind speed from a moving vehicle

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

Growing community of inventors

Georgetown, TX, United States of America

Jeremy R Fox