International Business Machines Corporation

Kyndryl, Inc.

Activision Publishing, Inc.

Hulu, LLC

King.com Limited

Airbnb, Inc.

Brian M O'Connell

Rick A Hamilton, Ii

Keith R Walker

Clifford A Pickover

Gregory J Boss

Kulvir Singh Bhogal

Aaron K Baughman

James R Kozloski

Swaminathan Balasubramanian

Andrew R Jones

James W Seaman

Jeffrey David Amsterdam

Peter George Finn

Brian James Snitzer

Paul Andrew Moskowitz

Mauro Marzorati

Ravi Prakash Bansal

Herbert Daniel Pearthree

Christopher J Dawson

Anne R Sand

Ann Corrao

Thomas Benjamin Harrison

John Michael Ganci, Jr

James Edward Bostick

Martin G Keen

Neil A Katz

John Elbert Moore, Jr

Martinianus B Hadinata

Richard A Locke

Vittorio R Castelli

Steven Mark Harrison

Martin J Gale

Richard Elderkin Nesbitt

John R Pavesi

Charles Steven Lingafelt

Neal Martin Keller

Kevin Edward Vaughan

Rosa M Bolger

Jeremy R Fox

George R Dolbier

Richard J Bogdany

Jenny S Li

John Peter Karidis

Radha Mohan De

Susan Marie Williams

Yen-Fu Chen

Fabian F Morgan

Cheranellore Vasudevan

Alexandre Polozoff

Julianne Frances Haugh

John Hans Handy-Bosma

Stephen Carl Hammer

Barry Michael Graham

Sarah White Eagle

Agueda Martinez Hernandez Magro

Yaser K Doleh

Samir Nasser

Brian W Jensen

John J Gontkof

Lisa Seacat DeLuca

Zachary A Silverstein

Peter Kenneth Malkin

Lydia Mai Do

Paul Brian Moody

Michael D Kendzierski

William Freeman

Garfield Winston Vaughn

Boas Betzler

Kyle Gene Brown

Christopher Eythan Holladay

Mark William Talbot

Stefan Van Der Stockt

Michelle Welcks

Clay T Upton

Stefan A G Van Der Stockt

John S Cope

Craig M Trim

Jeffrey Robert Hoy

Carl Phillip Gusler

Alexander Zlatsin

Donna N Dillenberger

Diwesh Pandey

Shelbee D Smith-Eigenbrode

Guillermo A Cecchi

Arun Joseph

Brian Frederick Ober

Kerrie Lamont Holley

Gary Paul Noble

Ninad D Sathaye

Mickey Iqbal

Ruiping Li

Bruce David D'Amora

Suzanne Carol Deffeyes

Arvin Patel

Michele Palladino Brignull

Matthew Mitchell Lobbes

David Alexander Provan

David D Weck

Naveen Lamba

Gregg W Machovec

A computer-implemented method, including: receiving, by the computing device, connecting device data from a connecting device associated with a participant of the video conference, wherein the connecting device data includes an audio quality data and a device connectivity data; determining, by the computing device, a conferencing readiness score based on the connecting device data; determining, by the computing device, the conferencing readiness score does not meet a threshold score; determining, by the computing device, an ameliorative action configured to raise the conferencing readiness score to meet the threshold score; and providing, by the computing device, the ameliorative action to the connecting device.

Adaptive audio quality amelioration for video conferencing

Approaches for optimizing network demand forecasting models and network topology using hyperparameter selection are provided. An approach includes defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature. The approach also includes generating, using a computer device, an optimal model using a subset of features selected from the pool of features. The approach further includes predicting future demand on a network using the optimal model. The approach additionally includes allocating resources in the network based on the predicted future demand.

Hyperparameter and network topology selection in network demand forecasting

A computer-implemented system, method, and computer program product are described that predicts a time in which a participant of a group of participants may speak in a group meeting. The prediction is based in part on latency between each participant in the group of participants and learned voice patterns of each respective participant. Once a prediction is determined, a cue to speak or remain silent is provided as one of a visual or aural cue to the participant to speak during the group meeting. Predicting a time in which the participant of a group of participants may speak includes training a lingual processing model iteratively for each respective participant to learn voice patterns of participants.

Video conference verbal junction identification via NLP

A blockchain may store transactions for various purposes which may be later accessed by interested parties for ledger verification. One example method of operation may comprise one or more of receiving a blockchain transaction, identifying a proof-of-work is generated for the blockchain transaction via a network entity, transmitting the proof-of-work and a select portion of ledger data to a registered third party via an encrypted message based on a third party key, validating the proof-of-work via the third party, and providing a reward to the network entity.

Triggering actions responsive to blockchain transactions

A method according to one embodiment is for transmitting a message. In one embodiment, one or more processor of a messaging system identifies a certain message of the messaging system, the certain message being a blocked message intended for transmission to a certain user of the messaging system. In one embodiment, the one or more processor further determines one or more of a popularity of content of the certain message and a relevance of content of the certain message to the certain user, the certain user being a prospective recipient of a message. In one embodiment, the one or more processor transmits a message to the certain user responsively to a result of the determining of the one or more of a popularity of content of the certain message and a relevance of content of the certain message to the certain user of the messaging system.

Transmittal of blocked message notification

A computer processor generates a topic-based dataset based on parsing content received from a plurality of information sources, which includes historical data and scientific data, associated with a location of a natural resource. The processor generates a plurality of clusters, respectively corresponding to like-topic data of the topic-based dataset. The processor determines a plurality of hypotheses, respectively corresponding to the plurality of clusters of the like-topic data, wherein the plurality of hypotheses are based on features associated with each of the plurality of clusters of the like-topic data. The processor combines pairs of clusters, based on a similarity heuristic applied to the one or more pairs of clusters, and the processor determines a plurality of probabilities respectively corresponding to a validity of each hypothesis of the plurality of hypotheses, associated with the location of a natural resource.

Probability mapping model for location of natural resources

A method of caching data at a processing node within a communication network can include predicting a future location of a user. A processing node within the communication network can be selected according to the future location. Data to be sent to the selected processing node can be selected. The selected data can be sent to the selected processing node.

Caching data at network processing nodes based on device location

A computer-implemented method groups queries to reduce performance degradation. The method includes, receiving, by a database manager, a set of queries from one or more requestors, wherein each query of the set of queries includes an access plan. The method includes, determining, based at least on the access plan of each query, that a first query in the set of queries is incompatible with a second query of the set of queries. The method includes, grouping, in response to the first query and the second query being incompatible, the first query in a first group, and the second query in a second group, wherein the first group and the second group are included in a set of groups. The method includes, determining an order for each group of the set of groups. The method further includes, executing, in response to determining the order, each group in the determined order.

Prioritization and optimization of database workloads

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining data specifying a plurality of alternative candidate routes for travel by an unmanned aerial vehicle (UAV) from a current location of the UAV to a destination location; selecting one of the alternative candidate routes as a selected route for travel by the UAV; and controlling the UAV so that while the UAV travels along the selected route the UAV emulates a ground based vehicle (GBV).

Emulating unmanned aerial vehicle (UAV)

Information is gathered on microservice interactions. Two or more microservice failures are detected. For each microservices failure, a microservice restoration time is determined. An expected total cost of a downtime for each microservice is determined. Based on the determined expected total cost of the downtime for each microservice, an order of microservices to restore is determined.

Prioritization of service restoration in microservices architecture

One or more microservice flows affected by a microservice failure are determined. An amount of revenue loss per period of time for the one or more microservice flows affected by the microservice failure is determined. A microservice restoration time for the microservice failure is retrieved. An expected total cost of a downtime for each microservice is determined based on the amount of revenue loss per period of time and the microservice restoration time.

Embodiments of the present invention describe an approve for ledger synchronization. Embodiments monitor conversations for keywords, and responsive to detecting the keywords, recording at least a portion of the conversations that includes the keywords. Additionally, embodiments store recorded conversation, based on the at least portion of the conversations that include the keywords, in a database, detect changes to ledgers, and determine authorization records is absent on the ledgers for the changes. Furthermore, embodiments, determine at least one of the stored conversations includes authorization records associated with the detected changes, retrieve the determined at least one of stored conversations, and synchronize the ledgers by creating a new block to the ledgers indicating authorization for the new block based on the determined at least one of stored conversations.

Multi-ledger blockchain management

Embodiments of the invention control a device based on physiological measurements associated with a user. A determination is made that a user has manually adjusted a controlled device. A context associated with the user is identified in response to determining that the user has manually adjusted the controlled device. A change is detected in at least one physiological measurement associated with the user in response to the controlled device being manually adjusted. A target physiological measurement associated with at least one physiological measurement is modified based on the change that has been detected. The context that has been identified is associated with the target physiological measurement that has been modified.

Controlling devices based on physiological measurements

An approach for forecasting demand. The approach includes a method that includes receiving one or more variables associated with an event. The method further includes generating, by at least one computing device, a model to forecast future demand based on the one or more variables. The method further includes determining, by the at least one computing device, a load to provision one or more servers to meet the future demand. The load is based on the model.

Forecasting computer resources demand

A computer-implemented method may include: receiving a request to integrate a commit; obtaining analytics data of an author that developed the commit; executing a simulation using the analytics data of the author as inputs to the simulation; obtaining results from the simulation, wherein the results indicate error rates when one or more testing stages are omitted from a testing procedure of the commit; comparing the results of the simulation with a threshold; determining, by the computing the device, the testing procedure based on the comparing, wherein the testing procedure identifies the one or more testing stages that are omitted and one or more testing stages that are included in the testing procedure; and outputting information regarding the determined testing procedure, wherein the outputting causes an integration server to test the commit in accordance with the testing procedure as part of an integration process for integrating the commit to a project.

Integration times in a continuous integration environment based on statistical modeling

Growing community of inventors

Cary, NC, United States of America

Brian M O'Connell