International Business Machines Corporation

Kyndryl, Inc.

Shikhar Kwatra

Sarbajit Kumar Rakshit

Jeremy R Fox

Craig M Trim

Aaron K Baughman

Zachary A Silverstein

Adam Lee Griffin

Indervir Singh Banipal

Paul N Krystek

Komminist S Weldemariam

Sushain Pandit

John David Wilson

Joseph N Kozhaya

Raghuveer Prasad Nagar

Mauro Marzorati

Nadiya Kochura

Corville O Allen

Vijay Ekambaram

Andrew Ronald Freed

Hemant Kumar Sivaswamy

Tiberiu (Jim) Suto

Gray Franklin Cannon

Christopher J Hardee

Scott Edward Schneider

Seng Chai Gan

Liam S Harpur

Peeyush Jaiswal

Priyansh Jaiswal

Robert Huntington Grant

Stephen Carl Hammer

Martin G Keen

Cesar Augusto Rodriguez Bravo

James R Kozloski

Maharaj Mukherjee

Venkata Vara Prasad Karri

Michael S Gordon

Vittorio R Castelli

Florian Pinel

Vinod A Valecha

Jeronimo Irazabal

Clement Decrop

Michael Bender

Padmanabha Venkatagiri Seshadri

Spencer Thomas Reynolds

Smitkumar Narotambhai Marvaniya

Victor Povar

Robert E Loredo

Jun Zhu

Edgar Adolfo Zamora Duran

Diwesh Pandey

Hyman David Chantz

Roxana Monge Nunez

Mary E Rudden

Stefan Ravizza

Clifford A Pickover

Gregory J Boss

Paul R Bastide

Gandhi Sivakumar

Maja Vukovic

Qiqing Christine Ouyang

Shailendra Moyal

Vijay Kumar Ananthapur Bache

Petr Novotny

Saravanan Sadacharam

Gary Francis Diamanti

Steven Joroff

Natalie Brooks Powell

Michael Man Behrendt

Srinivas Babu Tummalapenta

Ryan R Anderson

Lisa Seacat DeLuca

Jonathan D Dunne

Al Chakra

Jeremy A Greenberger

Kuntal Dey

Trudy L Hewitt

John Edward Petri

Jonathan Lenchner

Kushal S Patel

Manish Anand Bhide

Nitin Gaur

Yu Long Cao

Charles Evan Beller

Hernan A Cunico

Todd Russell Whitman

Kimberly Greene Starks

Dulce Beatriz Ponceleon

Divyesh Jadav

Michael John Spisak

Russell Patrick Bobbitt

Jacob Ryan Jepperson

Munish Goyal

Prasenjit Dey

Franz Friedrich Liebinger Portela

Thomas J Fleischman

Manish Mahesh Modh

Anil Bindu Lingambudi

David Alonso Campos Batista

Christian Compton

Jagadesh Ramaswamy Hulugundi

A system includes: a platform; a payload extending from a platform; an adjustable tether connecting the payload to the platform; and a sail extending from the payload. The system further includes a computer program that is executable to relocate the platform to the area of interest based on a threshold based decision which may include providing a tether and sail configuration.

Relocation based coverage area enhancement system

A computer-implemented method, a computer program product for predictive device maintenance, and system for a plurality of Internet of Things (IoT) devices. One embodiment may comprise generating a risk score as a weighted measure of input data about an Internet of Things (IoT) device and a frequency of failure of the IoT device, determining an optimal time to trigger a predictive notification pertaining to the IoT device using the risk score, and at the determined optimal time, issuing the predictive notification. The risk score in some embodiments may indicate an estimate of loss of function of the IoT device.

Predictive device maintenance

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

A computer-implemented method includes: presenting, by a computing device, a virtual event user interface to an attendee of a virtual event; obtaining, by the computing device, data about actions performed by the attendee within the virtual event; creating, by the computing device, a tensile sphere kernel that is specific to the attendee using the obtained data; creating, by the computing device, a mixed tensile sphere kernel using the tensile sphere kernel that is specific to the attendee and another tensile sphere kernel of another attendee; determining, by the computing device, an event recommendation of the virtual event using the mixed tensile sphere kernel; and presenting, by the computing device, the event recommendation to the attendee by changing the virtual event user interface to show the event recommendation.

Event experience representation using tensile sphere mixing and merging

One or more computer processors derive a base corpus by capturing time series haptic data from an artisan performing an artisanal skill comprising a plurality of artisanal actions, wherein each artisanal action in the plurality of artisanal actions is associated with a time interval. The one or more computer processors train a multi-agent reinforcement learning (MARL) model utilizing the derived base corpus, wherein the MARL model outputs a vector representing one or more predicted artisanal actions required to complete the artisanal skill. The one or more computer processors generate a training avatar utilizing a trained generated adversarial network fed with one or more user parameters identified from a user requesting guidance for the artisanal skill and the output vector of the trained MARL model. The one or more computer processors guide the user with the generated training avatar in an execution of the artisanal skill.

Artisan learning system

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 computer captures a voice of a user. The computer determines a frequency spectrum and a voice pattern of the voice. The computer identifies one or more topics of the voice by transcribing the voice by a natural language processing. The computer identifies the user based on matching the frequency spectrum of the voice to the frequency spectrum of the conversation and the pattern of the voice to the pattern of the conversation when a conversation is intercepted and determines a trust score based on comparing the one or more topics to the one or more topics extracted from the conversation.

AI based system and method for corners of trust for a caller

A method, computer program product, and system include a processor(s) that map a physical environment by utilizing one or more image capture devices to scan aspects of the physical environment. The mapping identifies contamination levels and features associated with objects in the environment. The processor(s) utilizes unsupervised learning and supervised learning to identify activities engaged in by a user in the environment. The processor(s) determines that a trigger event has occurred. The processor(s) identify an activity engaged in by the user and determine if a user interface utilized by the program code to display results is visible to the user. If the processor(s) determines that the interface is not visible, the processor(s) selects an alert mechanism to alert the user to the trigger event and alerts the user to the trigger event with the selected alert mechanism.

Sanitized surface monitoring and smart user alerts

A route from a first physical location to a second physical location is divided into a set of segments using a route optimization engine. Using a user response analysis model, a response to a physical environment associated with a segment in the set of segments is scored, the scoring resulting in a score. Using a content generation model and the score, the physical environment is augmented, the augmenting combining the physical environment and a generated environment.

Vehicle based external environment augmentation for operator alertness

Systems and methods are presented for a hardware accessory, with embedded logical features, that facilitates communication with a password manager and expeditious text entry in application login dialogue screens. The hardware accessory is embodied as a portable electronic apparatus, such as a USB accessory that may be physically attached and detached form a personal computer. The hardware accessory may also be embodied as a portable computing device such as a mobile phone that may be wirelessly coupled to and decoupled from the personal computer. The passwords may be maintained in a cloud-based vault and retrieved through either the personal computer or the mobile computing device. The hardware accessory converts the password into keystrokes that are transmitted to the personal computer for automated insertion into the respective application login dialogue screens.

Password manager accessory

A method for assessing a surrounding area for heat map generation includes determining a location of a user and receiving historical information for the location of the user. The method also includes identifying a plurality of items in a surrounding area of the user, where the surrounding area includes at least a line of sight of the user as captured by an augmented reality device associated with the user. Analyzing the surrounding area of the user based on the plurality of items and the historical information to produce a plurality of risk levels for the plurality of items, where each risk level from the plurality of risk levels is associated with each item. Responsive to receiving sensory data for the user, the method also includes generating a heat map for the surrounding area of the user and display the heat map to the user in the augmented reality device.

Surrounding assessment for heat map visualization

Using a digital twin model of a user, a digital twin model of a geographical location, a digital twin model of an event venue located at the geographical location, and a plurality of digital twin models of clothing items, a product recommendation customized to the user and a planned event is generated, the planned event planned to occur at the event venue. A product recommendation depiction is generated, the product recommendation depiction comprising a depiction of the product recommendation being worn by the user at the planned event. An answer to a natural language query regarding the product recommendation depiction is generated.

Digital and physical experience correlation for product recommendation

According to one embodiment, a method, computer system, and computer program product for tracking positions and characteristics of one or more individuals in proximity to a user to dynamically assess a threat of physiological harm to the user is provided. The present invention may include identifying, by one or more sensors integrated into one or more wearable devices on the person of a user, one or more individuals in proximity to the user; generating a dynamic threshold corresponding to each of the one or more individuals; responsive to identifying one or more characteristics of the individual, updating the dynamic threshold; and responsive to a distance between an individual of the one or more individuals and the user falling below the dynamic threshold associated with the individual, transmitting an alert to the user.

Dynamic geofencing-enabled physiological risk monitoring system in physical and mixed reality environments

Secure data analytics is provided via a process that identifies sensitive data fields of an initial dataset and mappings between the sensitive data fields and other data fields of the dataset, where analytics processing is to be performed on the initial dataset, then, based on an expectation of data fields, of the initial data set, to be used in performance of the analytics processing and on the identified sensitive data fields, selects and applies a masking method to the initial dataset to mask the sensitive data fields and produce a masked dataset, provides the masked dataset to an analytics provider with a request for the analytics processing, and receives, in response, a generated analytics function, generated based on the masked dataset, that is configured to perform the analytics processing, and invokes the generated analytics function against the initial dataset to perform the analytics processing on the initial dataset.

Secure data analytics

A method, computer system, and a computer program product for voice responses is provided. The present invention may include gathering user data from at least one connected device. The present invention may include training a voice response system based on the gathered user data. The present invention may include identifying a wakeup signal based on the trained voice response system. The present invention may include determining that user engagement is intended based on identifying the wakeup signal. The present invention may include engaging with the user through the at least one connected device.

Artificial intelligence voice response system for speech impaired users

Growing community of inventors

San Jose, CA, United States of America

Shikhar Kwatra