International Business Machines Corporation

Neil Delima

Jeremy R Fox

Shikhar Kwatra

Su Liu

Zachary A Silverstein

Scott Edward Schneider

Tiberiu (Jim) Suto

Jennifer M Hatfield

Cuong T Nguyen

Jill S Dhillon

Carolina Garcia Delgado

Samir Nasser

John S Alexander

Richard W France

David Jason Hunt

John A Walicki

Brian K Adams

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

A method, computer program product, and computer system for creating a virtual collaborative space within an intelligent workflow framework. One or more processors of a computer system identify the need for a virtual collaborative space where human interactions can occur to test or optimize the existing workflow and identify triggers for when the virtual collaborative space shall be initiated based on historical learning models trained from instrumentation data generated by the workflow. Responsive to a trigger from the identified triggers, the one or more processors of the computer system alert a first user to enter the virtual collaborative space and initiate the virtual collaborative space. The one or more processors of the computer system replicate a scenario that activated the trigger including identifying parties of interest to the scenario and enable the first user to address an issue in the existing workflow that caused the trigger to occur.

Virtual collaborative space within a workflow

Autonomously aligning docking bodies is provided. A first-axis surface is identified as a target axis surface corresponding to a desired docking approach vector of a first body to a second body. The first body is maneuvered to align relative to a second-axis surface until a third-axis surface is less than a defined surface detection threshold level. The first body is continued to be maneuvered to align relative to the third-axis surface until the second-axis surface is less than the defined surface detection threshold level. Docking is completed between the first body and the second body in accordance with the desired docking approach vector based on alignment of the first body with the target axis surface.

Docking orientation device

According to one embodiment, a method, computer system, and computer program product for managing application deployment among edge devices is provided. The embodiment may include identifying respective computing characteristics of all edge devices of a network. The embodiment may include categorizing the edge devices into one or more categories based on identified respective computing characteristics. The embodiment may include classifying a type of a computing task to be deployed to one or more of the edge devices. The embodiment may include mapping the computing task to a category of the one or more categories. The embodiment may include calculating a respective computing score for each edge device of the category. The embodiment may include ranking edge devices of the category based on their respective computing scores. The embodiment may include deploying the computing task to a top-ranked edge device of the category.

Device oriented edge deployment

A method addresses a defect in software. The method periodically captures snapshots of versions of code for a particular software program as one or more functionalities are added to the particular software program. The method determines that a current version of the particular software program has a defect, and then iteratively tests previous versions of that particular software program until a most-recent non-defective version of the particular software program is detected. A software developer is directed to either debug the current version of the particular software program, or else re-create the current version of the particular software program from the most-recent non-defective version of the particular software program, depending on which approach is faster.

Defect resolution in a software solution

Growing community of inventors

Scarborough, Canada

Neil Delima