International Business Machines Corporation

Kyndryl, Inc.

Lenovo (singapore) Pte. Ltd.

Other

Maplebear Inc.

Lenovo Enterprise Solutions (singapore) Pte. Ltd.

Sarbajit Kumar Rakshit

John Michael Ganci, Jr

James Edward Bostick

Martin G Keen

Jeremy R Fox

Craig M Trim

Venkata Vara Prasad Karri

Eric Vance Kline

Shikhar Kwatra

Barry Alan Kritt

Vijay Ekambaram

Tushar Agrawal

Sathya Santhar

Shailendra Moyal

Raghuveer Prasad Nagar

Sudheesh S Kairali

Saraswathi Sailaja Perumalla

Kimberly Greene Starks

John David Wilson

Akash U Dhoot

Zachary A Silverstein

Mauro Marzorati

Michael Bender

Christopher J Hardee

Cesar Augusto Rodriguez Bravo

Aaron K Baughman

Gregory J Boss

David Bruce Lection

Gary David Cudak

Fang Lu

Mukundan Sundararajan

Mark B Stevens

Robert Huntington Grant

Keith R Walker

John Elbert Moore, Jr

Komminist S Weldemariam

Sushain Pandit

Todd Russell Whitman

Kuntal Dey

Hernan A Cunico

Adam Roberts

Harish Bharti

Hemant Kumar Sivaswamy

Vijay Kumar Ananthapur Bache

Abhishek Jain

Sandeep R Patil

Jana Helton Jenkins

Katsuyuki Sakuma

Soma Shekar Naganna

Liam S Harpur

Gandhi Sivakumar

Maharaj Mukherjee

Brian Samuel Beaman

Edgar Adolfo Zamora Duran

Jeremy A Greenberger

Vittorio R Castelli

Seema Nagar

Manish Anand Bhide

Sasikanth Eda

Randy Allan Rendahl

James R Kozloski

Kulvir Singh Bhogal

Michael S Gordon

Donna Karen Byron

Kelley Anders

Swaminathan Balasubramanian

Chandrasekhar Narayanaswami

Sougata Mukherjea

Clifford A Pickover

Jonathan D Dunne

Peeyush Jaiswal

Nitin Gaur

Nadiya Kochura

Florian Pinel

Romelia H Flores

Vinod A Valecha

Petr Novotny

Marc Henri Coq

Jeronimo Irazabal

Michael K Gschwind

Lisa Seacat DeLuca

Valentina Salapura

Rhonda L Childress

Trudy L Hewitt

Sarvesh S Patel

Manish Satyapal Gupta

Jonathan Lenchner

Kushal S Patel

James Peter Ward

Nataraj Nagaratnam

David Jaramillo

John A Gunnels

Srikanth Govindaraj Tamilselvam

Rajesh Kumar Saxena

Diwesh Pandey

Pankaj Satyanarayan Dayama

Justin David Weisz

Alexandre Polozoff

Michael John Spisak

Vincenzo V Di Luoffo

The illustrative embodiments provide for adaptation of reference architecture documents across clouds. An embodiment includes loading a reference architecture document. The embodiment also includes populating a knowledge repository corpus where the knowledge repository corpus includes data from information technology (IT) products, cloud services, and integrations stored with associated metadata about functionalities. The IT products, the cloud services, and the integrations are stored with metadata. The embodiment also includes classifying, using an incident analysis module, the service incidents based on the reference architecture document. The embodiment also includes detecting flaws in the reference architecture document based on the classified service incidents. The embodiment also includes creating a weighted graph of the cloud services. The embodiment also includes traversing the weighted graph and creating an adapted reference architecture based on the traversed weighted graph.

Adaptation of reference architecture documents across clouds

Aspects include processing the query from a client device to divide the query into a plurality of subqueries, identifying a data source that corresponds to each of the plurality of subqueries, and identifying an expected response time for each of the data sources. Based on a determination that at least one of the expected response times is greater than a default timeout threshold, aspects include classifying the query as a delayed split query and updating a timeout value of the query to be a delayed timeout threshold, which is greater than the default timeout threshold. Aspects also include performing the delayed split execution of the query.

Delayed split execution of a query

Mechanisms are provided for controlling docking of an edge capacity with a cloud computing system. A bill of materials (BOM) enabled agent, executing on the edge capacity, sends a BOM data structure specifying components of a configuration of the edge capacity. A lookup operation of components of the BOM data structure is performed in a BOM controls mapping data structure to identify controls or policies applicable to the components of the BOM data structure. The identified controls/policies are transmitted to the BOM enabled agent for execution to determine if there are any violations. Results of the identified controls or policies are received which specify whether there are any violations of the controls/policies. In response to at least one violation being detected, docking of the edge capacity with the cloud computing system is denied. In response to no violations, the edge capacity docks with the cloud computing system.

Dynamic SBOM based secure docking of edge capacity to existing computing systems

A computer-implemented method, a computer system and a computer program product automatically generate product videos based on requested feature sets in stored data. the method includes acquiring a plurality of product features from a server, where each product feature in the plurality of product features is associated with data selected from a group consisting of: text data, audio data, and image data. The method also includes receiving a request for a product video, where a product in the product video comprises a set of product features in the plurality of product features. The method further includes identifying the data associated with each product feature in the set of product features for the request. Lastly, the method includes generating the product video based on identified data for the product.

Generation of product videos using machine learning

A method, computer program product, and computer system are provided for smart log shipping in a heterogeneous computing environment. A first edge device and a second edge device in a heterogeneous cloud computing environment are identified. The first edge device is caused to transmit collected log data associated with the first edge device to the second edge device based on a lack of network connectivity between the first edge device and a cloud data center. The transmitted collected log data is received from the second edge device.

Smart log shipping in a heterogenous cloud computing environment

A computer implemented method, system and product to predict an incremental degradation of a battery of a transportation vehicle while traveling on a route using a number of battery degradation parameters and a current condition of the battery as inputs in an artificial intelligence enabled system trained using historical battery degradation parameters. An equivalent carbon footprint is calculated based on the incremental degradation of the battery of the transportation vehicle. An equivalent carbon footprint tax is calculated based on the equivalent carbon footprint. The equivalent carbon footprint tax is assessed against the transportation vehicle.

Calculating carbon footprint while traversing route based on predicted incremental battery degradation

A method, computer system, and a computer program product for data confidentiality is provided. The present invention may include detecting a confidentiality level of data within a source edge. The present invention may include identifying a required safety level of a route of travel based on the detected confidentiality level. The present invention may include selecting the route of travel based on the required safety level and the detected confidentiality level.

Data confidentiality based secure route maps and travel plans for edges based on minimal SCC agent

An embodiment for factcheck streaming in a virtual reality (VR) collaboration is provided. The embodiment may include receiving a video of a VR collaboration and one or more inputs from a user. The embodiment may also include identifying a pre-determined boundary of the VR collaboration. The embodiment may further include executing a factcheck of one or more items of content. The embodiment may also include identifying at least one factually inaccurate item of content. The embodiment may further include in response to determining the at least one factually inaccurate item of content is able to be replaced, generating, by a pre-trained generative adversarial network (GAN) model, at least one factually accurate item of content. The embodiment may also include replacing the at least one factually inaccurate item of content with the generated at least one factually accurate item of content in the VR collaboration.

Factcheck streaming in VR collaboration

A computer-implemented method, a computer program product, and a computer system for maximizing collaborative effectiveness among multi-robots with dynamic inter-exchangeability. A computer identifies inter-exchangeable parts among robots performing an activity in a multi-robotic ecosystem. A computer uses digital twin models to simulate scenarios of combining respective ones of the inter-exchangeable parts and respective ones of the robots. A computer identifies an optimum scenario in which collaborative effectiveness is maximized by exchanging the inter-exchangeable parts among the robots, based on results of digital twin model simulations. A computer, for the optimum scenario, identifies among the robots first robots whose inter-exchangeable parts are to be exchanged and one or more second robots that help the first robots exchange the inter-exchangeable parts. A computer instructs the first robots and the one or more second robots to perform physical exchange of the inter-exchangeable parts of the first robots.

Maximizing collaborative effectiveness among multi-robots with dynamic inter-exchangeability

A method for parallel connection for device transactions includes stablishing a first connection to perform a transaction by a client device. The method also includes identifying a plurality of available connections supported by the client device to perform the transaction. The method also includes initializing the plurality of available connections to perform the transaction, wherein each available connection represents a parallel connection to the first connection. The method also includes identifying at least one potential connectivity issue with the first connection based on a comparison between historical network data for the first connection and current network data for the first connection. The method also includes performing a handoff of the transaction between the first connection and a second connection from the plurality of available connections.

Parallel connection for device transactions

A convertible robot including a plurality of modules connected one to another by one of a plurality of joints, wherein the plurality of modules has a first end and a second end that is adapted to allow for removable attachment to the first end. The convertible robot also includes a coupling that reversibly converts the plurality of modules between one configuration and at least one other configuration. One configuration is a snake-arm configuration in which the plurality of modules are in an elongated arrangement. Another configuration is a drone configuration in which the first and second ends of the plurality of modules are attached and in a loop-shaped arrangement.

Snake-arm robot capable of converting to a drone

A processor may receive an object dataset based on an object. The processor may generate an interactive model of the object to display to a user using the object dataset. The processor may receive an interaction dataset associated with the user interacting with the interactive model. The processor may analyze the interactive data to identify one or more modifications to the one or more parameters of the object, based on the user interacting with the interactive model.

Object modification in a smart environment

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

According to one embodiment, a method, computer system, and computer program product for selective dataset encryption is provided. The embodiment may include identifying one or more data items within one or more datasets to be moved from network attached storage to cloud-based storage. The embodiment may also include determining an encryption method to be performed on each data item based on a level of confidentiality or sensitivity of each data item. The embodiment may further include sorting each data item into one or more groups based on the determined encryption method. The embodiment may also include performing each determined encryption method to the corresponding group.

Selective encryption while loading from network attached storage system

A computer-implemented method for displaying an augmented reality (AR) object is disclosed. The computer-implemented method includes identifying a physical object of interest in a user's AR field of view (FOV), determining an amount of time required for the physical object of interest to be displayed within the user's AR FOV, based on the user's relative position and movement with respect to the physical object of interest, determining the physical object of interest is no longer in the user's physical FOV prior to an expiration of the determined amount of time required for the physical object to be displayed within the user's AR FOV, and displaying a digital object corresponding to the physical object of interest in the users AR FOV until the determined amount of time required for the physical object to be displayed within the user's AR FOV has expired.

Velocity based dynamic augmented reality object adjustment

Growing community of inventors

Kolkata, India

Sarbajit Kumar Rakshit