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

Andrew R Jones

Fang Lu

Christian Compton

John Elbert Moore, Jr

Spencer Thomas Reynolds

Kulvir Singh Bhogal

Todd Russell Whitman

Atul Mene

Logan Bailey

Jeremy A Greenberger

John David Wilson

John Rice

Grant Douglas Miller

Melanie Dauber

Jana Helton Jenkins

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

Su Liu

Nadiya Kochura

Sushain Pandit

Adam Lee Griffin

Mary E Rudden

Thomas Jefferson Sandridge

Carolina Garcia Delgado

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

Mark B Stevens

Jun Su

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

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

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

Growing community of inventors

Georgetown, TX, United States of America

Jeremy R Fox