International Business Machines Corporation

Kushal S Patel

Sarvesh S Patel

Gandhi Sivakumar

Craig M Trim

Subhojit Roy

Luke Peter Macura

Grzegorz Piotr Szczepanik

Lukasz Jakub Palus

Kimberly Greene Starks

Michael Edward Alexander

Lynn Kwok

Abhishek Jain

Shrikant V Karve

Lakisha R S Hall

Faried Abrahams

Rashida A Hodge

Bing Xin Wang

Ankur Srivastava

Lakisha R Hall

Zhuo Jp Cai

Anil Manohar Omanwar

Alexander Henry Ainscow

Timothy Davis

Sandeep R Patil

Sachin Chandrakant Punadikar

John Mark Clifton

Duo Chen

Rizwan Dudekula

Wendy Lyn Henson

Sumit Mehrotra

Shalaka Verma

Mohit Chitlange

Sarbajit Kumar Rakshit

Jeremy R Fox

Martin G Keen

Shikhar Kwatra

Sasikanth Eda

Tushar Agrawal

Krishnasuri Narayanam

Jeronimo Irazabal

Amith Singhee

Lee Jason Sanders

David Randall Blea

Jianbin Tang

Xue Qiang Zhou

Atul Mene

Abhishek Malvankar

Errol Jay Calder

Krishnan K Ramachandran

Bharti Soni

Anuj Chandra

Sanjay K Sudam

Pardeep Singh

Tanmay Jayant Mujumdar

Rajsekhar Bharali

Benjie Asuncion Amaba

Ganesh Govindrao Chaudhari

Hemanand S Gadgil

Karve Shrikant Vinod

Kalpesh Chhajed

Joseph Thie

Sanjay Tripathi

Rohan Mohan Salvi

Robert E Jose

Zhuo J P Cai

Ajinkya Nanavati

Puja Leekha

In an approach for amplifying a mission critical workload to a low Earth orbit (LEO) satellite using a booster drone, responsive to receiving a first request to amplify a mission critical workload to a LEO satellite, a processor initiates a targeted service instance. A processor obtains a level of mission criticality of the first request by mapping the first request against a registry of applications and a respective level of mission criticality of the applications. A processor selects a booster drone from a drone delivery station. A processor determines a first geo-location from where a satellite data communication needs to be initiated. A processor determines a second geo-location of the LEO satellite to where the satellite data communication needs to be pushed. A processor generates one or more signal strength requirements. A processor amplifies the mission critical workload according to the one or more generated signal strength requirements.

Mission critical data delivery booster drones for satellite data centers

A first version of a model specified by a model execution request is executed, producing a first execution result. A second version of the model is selected according to an input data attribute specified by the model execution request. The second version of the model is executed, producing a first execution result. Using a natural language processing engine, responsive to the first execution result and the second execution result differing by more than a threshold amount, a natural language explanation of a difference between the first execution result and the second execution result is constructed.

Version based model result explainability

Provided are a method, system, and computer program product in which a connection management system is provided in multi-site target system. Resources for connections not needed at a point in time are loaned, from one entity to another in the connection management system.

Loaning data connection capabilities for edge devices

A telecom network monitoring method and associated computer program product and hardware device. Location and activation sight information is collected via a plurality of image retrieval devices associated with a plurality of hardware devices connected to a telecom network. Object elevation, movement, and abstraction attributes of objects within images retrieved from the plurality of image retrieval devices are collected from a metadata database. Based on the object elevation, movement, and abstraction attributes of objects within the images, obstruction characteristics associated with obstruction objects of the objects located within a coverage area of the telecom network are detected. The obstruction characteristics are mapped with login and disturbance patterns of the telecom network. Based on results of the mapping, an alternative transmission location within the telecom network is determined. The alternative transmission location includes improved transmissions characteristics with respect to the transmission location.

Telecommunication network monitoring

An approach is provided in which the approach detects a set of personal information data corresponding to a set of users in a set of training data. The approach transforms the set of training data into a set of semantically equivalent training data by replacing the set of personal information with a set of semantic equivalent data. The approach then trains a machine learning model using the set of semantically equivalent training data.

Data de-identification using semantic equivalence for machine learning

Condition-based, selective workload reduction through at least one port of a network device is provided. The process includes determining, by a network device of a computing environment, that the network device has a defined condition, and obtaining, by the network device, classifications of applications using the network device, where the classifications include multiple different application classifications. Further, the process includes reducing, by the network device, workload through at least one port of the network device based on determining that the network device has the defined condition. The reducing includes reducing workload through the at least one port of the network device of an application of a particular application classification of the multiple different application classifications, without reducing workload through a selected port of the network device of another application of a different application classification of the multiple different application classifications.

Dynamic, condition-based network device continuity optimization

A computer-implemented method for providing tag suggestions for an image in a social media platform is provided. Aspects include receiving an image from a first user of a social media platform, obtaining a timestamp corresponding to a time that the image was captured, and obtaining a geographic location corresponding to where the image was captured. Aspects also include identifying one or more members of the social media platform that are connected to the first user that were within a predefined distance of the geographic location at the time that the image was captured and providing a list of the one or more members to the first user as suggestions for tagging the image.

Providing tag suggestions for an image in social media platforms

A method includes collecting, by one or more processors of a computer system, digestive capabilities for Input Output Queues (IOQs) of infrastructure components in a hybrid cloud infrastructure, and allocating, by the one or more processors of the computer system, nonvolatile memory express (NVMe) storage cloud resources for the hybrid cloud infrastructure based on the collected digestive capabilities for IOQs of the infrastructure components.

Adaptive hybrid cloud resource management

Provided are a method, system, and computer program product in which a service orchestration layer is configured in a telecommunications network. Personalized pending user actions are transmitted to a user equipment, in response to a hold being performed over a first communications channel to the user equipment.

Personalized action reminders and dynamic injection of information in a cellular network

A computer-implemented method according to one embodiment includes causing a plurality of I/O queues to be created between an initiator and a storage target device. The created I/O queues are reserved for I/O requests for which adjustments of current priorities of extents of data associated with the I/O requests are to be performed. The method further includes determining identifying information of an I/O request sent from the initiator to the storage target device and determining whether the I/O request was sent from the initiator to the storage target device using one of the created I/O queues. In response to a determination that the I/O request was sent using a first of the created I/O queues having one of the adjustments associated therewith, a tiering manager of the storage target device is instructed to perform the adjustment on the current priority of the extent of data associated with the I/O request.

Data movement intimation using input/output (I/O) queue management

In one general embodiment, a computer-implemented method includes determining when two satellites in low Earth orbit (LEO) and having duplicate instances of data stored thereon will be within a predefined distance of one another. A third satellite is identified to store a replication copy of the instance of data for at least a duration that the two satellites will be within the predefined distance of one another. A copy of the instance of data is caused to be transmitted to the third satellite for storage thereon.

Data security in remote storage systems storing duplicate instances of data

A computer-implemented method for altering an appearance of an electrochromic coating of a vehicle is provided. The method includes determining that a vehicle is a boundary area of a testing zone based on a determined location of the vehicle. The method also includes changing a base appearance of the electrochromic coating of the vehicle to an altered appearance based on the determination that the vehicle is in the boundary area.

Method for age portraying and painting in electrochromic automobile sheet

Masking a route by determining a first location of a first user, receiving destination data for the first user, generating a plurality of map segments according to the first location and the destination data, presenting a first map segment to a second user, determining a second location of the first user, and presenting a second map segment to the second user according to the second location.

Trajectory masking by injecting maps using virtual network functions

A network architecture may receive situational data. The network architecture may acquire participant data associated with a participant. The network architecture may accept object data associated with an object. The network architecture may generate likelihood of infectiousness of the object based on the participant data and the object data. The network architecture may display the likelihood of infectiousness to one or more users.

Dynamic infection map

Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention receive a request for a machine learning model and information associated with decisions made by the machine learning model. Embodiments of the present invention can determine one or more machine learning modules that satisfy the received request and create a dedicated traffic channel to send the determined one or more machine learning modules and information associated with the decisions made by the machine learning model. Embodiments of the present invention can transmit the determined one or more machine learning modules and information associated with decisions made by the machine learning model to a computing system using the created, dedicated traffic channel.

Insight allotment to edged locations

Growing community of inventors

Pune, India

Kushal S Patel