International Business Machines Corporation

Akash U Dhoot

Shailendra Moyal

Venkata Vara Prasad Karri

Sarbajit Kumar Rakshit

Nitin S Jadhav

Nitika Sharma

Partho Ghosh

Saraswathi Sailaja Perumalla

Niteen D Lakhe

Sri Harsha Varada

Shanthan Chamala

Abdullah Q Chougle

Gautam Zalpuri

Pavan Kumar Penugonda

Madhu Akhilesham

Rojan Jose

Shilpa Bhagwatprasad Mittal

Hariharan Krishna

Bhavuk Srivastava

Venkata Ratnam Alubelli

Vamsi Vasireddy

Amit Kumar Senapaty

Madhukar Hari Kishan Gobbi

Keerthi Samireddy

Pavan K Manda

Khader Saheb Shaik

Poorna Vadada

Kamal Somani

Subir Ghosh

Divyesh Garg

Rajesh Prabhakar Dhagare

Brian M Arthur

Arpita Girish Gudihal

Thomas Chang

Karan K Navani

Lakshmojee Rao Vulli

Murali Pasala

Balatripurasundari Nookala

Joseph Korting

Sayyad Baji Shaik

Rajasekhar Chaganti

Manali Tanpure

Gowri Pruthvi

An approach for providing movement settings for a smart bed associated with an immobile patient is disclosed. The approach includes retrieving patient data and retrieving environmental data. The approach analyses patient profile and creates a digital twin of patient. In the digital twin environment, the approach models the patient movement and send patient movement setting based on desired outcome. Finally, the approach sends instructions to the smart patient bed.

AI based context aware multidirectional patient movement

Enhancing data-driven decision making can include generating a contextual insight data structure using a first artificial intelligence system operating on information data structures selected based on a context of a programmatically defined action. A perception data structure can be generated using a second artificial intelligence system that performs natural language processing of programmatically defined action communications. The perception data structure and the contextual insight data structure can be compared, and in response to detecting a structural variance, the perception data structure can be populated with one or more data items selected from the information data structures. A delta can be determined between the contextual insight data structure and the perception data structure based on a predetermined metric that measures a quantitative difference between the contextual insight object and the perception object. An electronic recommendation based on the delta can be generated and delivered to a user via a user device.

Data-driven decision enhancement

A a method for robotic assistance continuity to a pedestrian using gait recognition. The method includes determining a gait pattern of the pedestrian based on analysis of visual data obtained at a first position. The pedestrian is provided assistance based on a query at the first position. The pedestrian is identified at a subsequent position by identifying the gait pattern from analysis of visual data obtained at the subsequent position. The need for additional pedestrian assistance is determined at the subsequent position.

Robotic assistance continuity using pedestrian gait recognition

According to one embodiment, a method, computer system, and computer program product for contextual route guidance is provided. The embodiment may include receiving user information related to a current travel route. The embodiment may further include identifying current status information associated with a transportation hub through IoT-collected data. The embodiment may also include generating a navigation path for a user to reach a destination within the transportation hub based on the received user information and the identified current status information. The embodiment may further include presenting the navigation path to the user.

Creating a time bounded and goal driven network for passenger guidance

An approach for a computer program to retrieve historical incident data associated with a contaminated site to predict a future incident at the contaminated site. In the approach, the computer program evaluates the historical incident data to determine a deployment of a plurality of unmanned vehicles to form a virtual fence around the contaminated site. Furthermore, in the approach, the computer program determines instructions for the deployment of each of the plurality of unmanned vehicles to form the virtual fence around the contaminated site. In the approach, the computer program sends the instructions to form the virtual fence to each of the plurality of unmanned vehicles.

Virtual fencing of a contaminated area

In an approach to security for displayed confidential holographic objects, one or more computer processors receive a request from a user to display a holographic object in association with a device. One or more computer processors identify content to be moved to the holographic object. One or more computer processors determine the content includes confidential information. One or more computer processors request authentication from the user. One or more computer processors receive the authentication from the user. One or more computer processors create a holographic boundary, where the holographic boundary blocks a view of the holographic object from one or more unauthorized users. One or more computer processors display the holographic boundary. One or more computer processors display the holographic object in association with the device.

Security for displayed confidential holographic objects

A critical path based proactive optimization that includes collecting data on the tasks of contextual situation for performing a process and training a twin computing simulation model using the collected data for each task in the process. A contextual situation simulation is run using the simulation models for each task in the process to determine a critical path that causes delay in the process. An optimized task is determined from the tasks of the contextual situation using machine learning employing the collected data, wherein the optimized task mitigates delay in the process from the critical path.

Scheduling project activities using twin computing simulation

An embodiment for controlling a boundary of an AI system based on an environmental context is provided. The embodiment may include receiving data input from one or more sources. The embodiment may also include identifying one or more contextual situations in a surrounding environment. The embodiment may further include identifying one or more input data collection boundaries and a span of control boundary for an AI-enabled device. The embodiment may also include connecting the AI-enabled device to one or more data generation modules within the one or more input data collection boundaries. The embodiment may further include in response to determining none of the one or more data generation modules are unable to connect, identifying an action to be performed by the AI-enabled device. The embodiment may also include executing the action in a first set of one or more machines within the span of control boundary.

Boundary control of an AI system based on environmental context

An embodiment for dynamically creating a vehicle fence is provided. The embodiment may include receiving GPS data from one or more vehicles and a real-time video feed of one or more intersections along a first roadway. The embodiment may also include identifying a number of autonomous vehicles and one or more routes of the autonomous vehicles traveling on the first roadway. The embodiment may further include in response to determining an emergency vehicle is traveling on the first roadway, identifying a route and speed of the emergency vehicle. The embodiment may also include estimating a width of a second roadway intersecting the first roadway at a nearest intersection. The embodiment may further include identifying a moving direction of one or more objects along the second roadway. The embodiment may also include deploying a required number of autonomous vehicles to block the one or more objects from entering the nearest intersection.

Dynamic creation of vehicle fence for emergency vehicle movement

A computer-implemented dynamic supporting base creation method that interacts with a three-dimensional (3D) printer that prints an object, the method including providing a physical support, via a first robotic gripper, for an object during three-dimensional (3D) printing using a printing head of the 3D printer and transferring the object to a second robotic gripper to provide a physical support at a different location on the object.

Multi-directional three-dimensional printing with a dynamic supporting base

A processor may receive object data associated with an object in an environment. The processor may generate one or more simulations associated with the object using the object data. The processor may analyze the one or more simulations to identify one or more potential issues associated with the object. The processor may deploy the one or more smart devices to the object to capture issue data associated the one or more potential issues.

Automatic issue identification and prevention

A computer-implemented method, system and computer program product for seamlessly adjusting the utilization of computational resources of a computing device. A pattern of usage of computational resources of the computing device over a timeframe is determined. An artificial intelligence model uses such a pattern of usage and/or any identified contextual needs for upgrading or downgrading the computational resources of the computing device to determine the predicted amount of computational resources needed to be utilized by the computing device. Based on such a predicted amount, a blockchain transaction may be initiated and recorded to upgrade/downgrade the computational resources of the computing device. The rules on a smart contract, which defines a subscription for utilizing an allocated portion of the computational resources by the user, associated with the computing device are then updated based on the blockchain transaction which adjusts the amount of computational resources available to be utilized by the user.

Upgrading or downgrading hardware by seamlessly adjusting usage of computational resources on computing device

A method for collaborative data sharing for data anomalies includes identifying an anomaly with data for a first system on a first vehicle. In response to determining the data associated with the anomaly is capturable by other vehicles, the method further includes identifying a second vehicle in the vicinity in the first vehicle, wherein the vicinity is defined by an operational distance of the first system on the first vehicle. The method further includes capturing, by a second system on the second vehicle, the data associated with the anomaly. In response to determining captured data by the second system on the second vehicle requires transformation to conform to the first vehicle, the method further includes transforming the captured data by the second system on the second vehicle to conform to the first vehicle.

Collaborative data sharing for data anomalies

Decentralized cloud service assessment includes using a self-executing data structure, an error confirmation capsule (ECC) generated in response to a cloud service failure experienced by a cloud service client (CSC). One or more technical performance indicia corresponding to the cloud service failure are extracted from the ECC in response to the validating. The one or more technical performance indicia are compared to one or more electronically stored predefined performance norms of a cloud service provider (CSP) associated with the cloud service failure. Based on the comparing, a comparative ranking of the CSP is determined. A graphical user interface display is generated based on comparative rankings of the CSP and one or more other CSPs.

Decentralized cloud service assessment

Computer technology for: (i) determining which version of a software service to use depending upon whether the user requesting the service is a beta tester, and (ii) if the user status of the user requesting a software service is beta tester then: (a) that user will have the newer, testing-phase version of the software service used to fulfill the software service request, and (b) the user will be given an opportunity to provide feedback on the effectiveness and/or performance of the service to effect the beta testing of the new version of the software service under test.

Growing community of inventors

Pune, India

Akash U Dhoot