International Business Machines Corporation

Venkata Vara Prasad Karri

Sarbajit Kumar Rakshit

Shailendra Moyal

Saraswathi Sailaja Perumalla

Akash U Dhoot

Sri Harsha Varada

Hemant Kumar Sivaswamy

Partho Ghosh

Kamal Kiran Trood Yamala

Shanthan Chamala

Sampath Kumar Pulupula Venkata

Shikhar Kwatra

Girish Padmanabhan

Nitika Sharma

Abhishek Jain

Abhijit Deshmukh

Gautam Zalpuri

Subha Kiran Patnaikuni

Ramprasad Bhat

Vamsi Vasireddy

Amit Kumar Senapaty

Naga Srinivasa Reddy Padala

Hariharan Krishna

Pavan Kumar Penugonda

Kiruthikalakshmi Periasamy

Divya Mantha

Krishna Reddy Venkata Batchu

Sowjanya Rao

Madhukar Hari Kishan Gobbi

Ratnakumar Vadapalli

Sekhar Reddy Dandu Reddy

Poorna Vadada

Khader Saheb Shaik

Chandra Sekhar Kalyan Devulapalli

Chaitanya Korupolu

Ram Kumar Vadlamani

Seema Nagar

Rajesh Patil

Aparna Seshadri

Narendra Reddy Tippala

Sirisha Akella

Ravi T Vadlamani

Niteen D Lakhe

Neela Vauhini Komaragiri

Lakshmi Soumya Suggala

Keerthi Samireddy

Shilpa Bhagwatprasad Mittal

Ravi Sankar Parvathina

Vaibhav Telang

Pardeep Singh

Madhu Akhilesham

Rojan Jose

Raghupatruni Nagesh

Pavan K Manda

Ramalingeswara Naidu Saragadam

Arpita Girish Gudihal

Tirumala Vasu Padisetti

Afroz Khan, I

Rajesh Prabhakar Dhagare

Pritam Chopdar

Maithree Challapalli

Dasavatara Yadav Golagani

Suresh Nagulakonda

Avadhanula Kishore

Annyasha Lahiri

Ravindra Kumar Venkata Konatham

Balatripurasundari Nookala

Rakesh Chinhara

Pradeep Venkata Sudindra Pusuluri

Sairam Telukuntla

Nagaraju Ampavalli

Swetha Sukeerthi Chettupalli

Sheema Farheen

Mahendra Asapu

Swamy Subramanya

Danana Sandhya

Sushil Bhaskar Ravi

Venkata Suresh Babu Golla

Kamal Somani

Tanvi Tayal

Murali Pasala

Sayyad Baji Shaik

Rajasekhar Chaganti

Rajesh Gudikoti

Manali Tanpure

Gayaz Shaik

Abhijeet Sange

Srikanth Vankara

Subir Ghosh

Ryan Jackson

Sandeep Kaur

Lalitha Komarapuri

Kondala Rao Radha Ravi Shankara Mantripragada

Ramesh Naidu Yamalapalli

Dilip Kumar Ronanki

Sudeep Brajabasi

Asha Velayudham

Lakshmi Kiran Nagireddi

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 computer hardware system associated with a hybrid cloud including a private cloud and a public cloud has a hardware processor configured to perform the following executable operations. A plurality of data sets of unprocessed data is randomly sampled to generate a plurality of random samples respectively associated with each of the plurality of data sets. The plurality of random samples is pre-processed, using a machine learning engine, to identify hidden correlations contained therein. The hidden correlations are evaluated against a confidentiality model to characterize each of the plurality of segments as to confidentiality. The data sets are segmented by assigning the data sets to one of the private cloud or the public cloud based upon the evaluating. Data sets assigned to the private cloud based upon the segmenting are processed using the private cloud.

Segmentation of data in hybrid cloud

Disclosed are techniques to determine navigation paths for mobile points of consumption of edge computing resources where the edge computing resources are at least partially hosted on satellite devices. Datasets corresponding to a set of edge computing satellites are received describing their positions, orbital paths, and edge computing resources. Further datasets are received corresponding to mobile points of consumption of edge computing resources. Using both datasets, predictions are determined corresponding to demand for edge computing resources of the edge computing satellites. When a new mobile point of consumption of edge computing resources queues up a transit route to a destination, that transit route and the accompanying requirement for edge computing resources is compared with the determined predictions of resource availability. Where sufficient edge computing resources are unavailable for a transit route, a new route is generated to transit through regions where sufficient edge computing resources are predicted to be available.

Transit routes with orbital edge computing resource availability for mobile edge computing consumption points

A system, program product, and method for automatic collection, generation, and presentation of real time information to vehicular occupants are presented. The method includes determining a first driver profile for a first driver of a first vehicle. The method also includes determining, subject to the first driver profile determination, a color assignment for the first driver. The color assignment is at least partially indicative of the driver profile and the color assignment is at least a portion of a representation of the first driver. The method further includes communicating the color assignment to one or more of one or more potential occupants of the first vehicle and one or more occupants of the first vehicle.

Automatic real time information to vehicular occupants

A processor may receive a first command and a second command from one or more users. A processor may analyze the first command and the second command. A processor may determine command information associated with the first command and the second command. A processor may display the command information to at least one of the one or more users on a display screen. A processor may receive a response from the at least one of the one or more users associated with the command information on the display screen. A processor may execute the first command and the second command based, at least in part, on the command information and the response.

Multiuser voice command visualization

The present disclosure includes digitizing user symptoms. A processor may receive user provided data from one or more data collection devices. A processor may access a historical database. The historical database may include historical user provided data. A processor may generate a user data packet based, at least in part on, the user provided data and the historical database. A processor may display the user data packet to one or more authorized user and one or more other correlating information.

Digitizing disease symptoms

A method for managing self-configuration of sensors based on geofencing and context awareness includes determining a position for each object from a plurality of objects within a location. The method also includes segmenting the plurality of objects based on a plurality of parameters, where each parameter provides context to each object and at least one sensor on each object with respect to the location. In response to determining a plurality of geofence areas for the segmentation of the plurality of objects, the method also includes determining a plurality of sensor configurations for the plurality of objects, wherein each sensor configuration is for the at least one sensor on each object. In response to determining an action is performable based on a first sensor configuration from the plurality of sensor configurations, the method also includes performing the first sensor configuration on a first object from the plurality of objects.

Geofencing and context based sensor self-configuration

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

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

Methods and apparatus, including computer program products, implementing and using techniques for providing online media content. Online audiovisual media to be displayed to a user is provided to a client device. In response to detecting that the user is inattentive relative to the displayed audiovisual media, the provisioning of the audiovisual media and/or the display of the audiovisual media on the client device are automatically paused. In response to detecting that the user's attention has returned to the audiovisual media, a modified version of the audiovisual media is provided to the client device, to be displayed to the user.

System and methods for providing and consuming online media content

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

A computer-implemented string based force component creation method for a three-dimensional (3D) printer that interacts with a three-dimensional (3D) printer that is installed in a printing apparatus and that prints an object, the method including attaching a string mechanism to the 3D printer, and creating a force component to support the 3D printer and the object via the string mechanism that is attached to the 3D printer.

Creating string-based force component from different directions during overhang three-dimensional printing

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

According to one embodiment, a method, computer system, and computer program product for transmitting data from a set of edge devices is provided. The embodiment may include identifying one or more Internet-of-Things (IoT) devices within a structure. The embodiment may include combining the identified one or more IoT devices into one or more groups. The embodiment may include identifying a respective primary device for each group of the one or more groups. The embodiment may include deploying a tiny machine learning (ML) model on each identified respective primary device. In response to detection of an event within the structure by a group of the one or more groups, the embodiment may include utilizing the tiny ML model of a primary device of the group to select one or more other groups for activation.

Creating sets of heterogeneous internet-of-things (IoT) devices from which to upload data as a pre-step to edge computing

Provided is a computer-implemented method, system, and computer program product for dynamically configuring a virtual private network (VPN) protocol of a VPN tunnel. A processor may analyze data activity associated with a first device, where the first device is connected to a second device using a VPN tunnel. The processor may compare the analyzed data activity to a set of policies for determining a VPN protocol to apply to the VPN tunnel. The processor may identify, based on the comparing, a first VPN protocol from a plurality of VPN protocols. The processor may apply the first VPN protocol to the VPN tunnel.

Dynamic virtual private network protocol configuration

Growing community of inventors

Visakhapatnam, India

Venkata Vara Prasad Karri