International Business Machines Corporation

University College Dublin

Nationaluniversity of Ireland, Maynooth

Waterford Institute of Technology

Airbnb, Inc.

Inlecom Systems Limited

Inlecom Group Bvba

National University of Ireland

Clms UK Limited

Globalfoundries Inc.

Citrix Systems, Inc.

Nuance Communications, Inc.

Citrix Systems International Gmbh

National University of Ireleand

Patrick Joseph O'Sullivan

Barry Edward Willner

James Patrick Galvin, Jr

Liam S Harpur

Jonathan D Dunne

Edith H Stern

Carol Sue Zimmet

Ruthie D Lyle

Judith Helen Bank

Fred Raguillat

Lin Sun

Paul Basil French

Robert Cameron Weir

Sean Callanan

Hitham Ahmed Assem Aly Salama

Gary Denner

Jeffrey B Sloyer

Hema Srikanth

Chelsea Christine Beerse

Al Chakra

Colm Farrell

David Mark Ogle

Christian Benjamin Kau

Stephen Paul Kruger

Jorge A Arroyo

David W Malone

Yi Han

Cynthia E Barber-Mingo

Patrick W McDonagh

Arno Denne

James C Thorburn

Haytham Assem

Teodora Sandra Buda

Lei Xu

Luciano Silva

Konstantinos Loupos

Kun Bai

Di Ling Chen

Daniel Terlizzi

Antonios Mygiakis

Gerasimos Kouloumpis

Diaa Eldin Ali Mohamed Mahmoud Ali

Mohamed Adel Mahmoud

Mary Ellen Zurko

Erik Richter Altman

Peter Francis Sweeney

Nicholas Matthew Mitchell

Mark E Wallace

Panayotis Katsoulakos

Andres Omar Portillo Dominguez

Hitham A A A Salama

Mette F Hammer

Marjorie R Willner

Stephen W Cole

Stephen P Ryan

Zhi Peng Liu

Mark Crosbie

Hugh P Smyth

George Kyriacou

Shadi Ghaith

Erik S Bryant

Luciano M P Da Silva

Alexander Papageorgiou

Himanshu Dadheech

Paul R Bastide

David Louis Kaminsky

Kevin Glynn Paterson

Xi Li

Clay Edwin Williams

John J Thomas

Scott H Snyder

Javier Marcos De Prado

Sonya Purcell

Lin Ju

Daniel B Kehn

Mette Friedel Margareta Hammer

Cemal Yilmaz

Jesus Alberto Omana Iglesias

Ioannis Zorgios

Vassileios Karakostas

Jo Ann Jordan

Jolene Rowlands Staruch

Cora Clerkin

Ioanna Fergadiotou

Shailendra Maheshwari

Brian Douglas Gallagher

Robert James Mullin

Itzhack Goldberg

Andrew Lewis Schirmer

Michael Muller

Michael R O'Brien

Niklas Heidloff

Hong Bing Zhang

Faisal Ghaffar

Robert J McKeown

Juan Galiana Lara

Shruti Kumar

Conor T Boland

Susan S Hanis

Morten Kristiansen

An embodiment includes a method for use in managing a cluster comprising a plurality of computers, each computer comprising at least one hardware processor coupled to at least one memory. The method comprises a computer-implemented manager: collecting access pattern data for the plurality of computers; based at least in part on the access pattern data, determining that at least a first one of the plurality of computers is overutilized; and responsive to determining that the first computer is overutilized, moving stored data from the first computer to at least a second one of the plurality of computers.

Managing heterogeneous cluster environment

A computer-implemented method, computer program product, and computing system is provided for determining quality of experience for communication sessions. In an implementation, a method may include determining a plurality of intrusive quality of experience scores associated with a plurality of intrusive audio transmission samples. The method may also include determining a plurality of non-intrusive quality of experience scores associated with a plurality of non-intrusive audio transmission samples. The method may further include deriving a quality of experience coefficient based upon a relationship between the plurality of intrusive quality of experience scores and the plurality of non-intrusive quality of experience scores.

Determining quality of experience for communication sessions

Techniques that facilitate machine learning optimization are provided. In one example, a system includes a computational resource component, a batch interval component, and a machine learning component. The computational resource component collects computational resource data associated with a group of computing devices that performs a machine learning process. The batch interval component determines, based on the computational resource data, batch interval data indicative of a time interval to collect data for the machine learning process. The machine learning component provides the batch interval data to the group of computing devices to facilitate execution of the machine learning process based on the batch interval data.

Machine learning optimization framework

Notifying a user about relevant data for opportunities includes obtaining, from a database, opportunities, the opportunities representing a complex record structure in the database, in which each of the opportunities captures a number of fields of metadata, analyzing the metadata associated with the opportunities to identify patterns for the opportunities, identifying, based on the patterns, correlations for the opportunities, and notifying, based on the correlations, the user about relevant data for the opportunities.

Notifying a user about relevant data for opportunities

An ad hoc supply chain collaborative computing environment management method includes selecting a collaboration model from amongst several models and establishing the environment in accordance with the selected model including defining a knowledge graph, a set of expected events to be received in an event log, and one or more predictive functions operating upon the different events in the event log to produce predictive values. The method also includes, registering actors in a supply chain as authenticated publishers or subscribers to the event log of different events published by different authenticated computing systems of the actors, authenticating different ones of the registered different actors prior the different actors publishing events to the event log, triggering predictive functions for newly published ones of the events in order to produce predictive values and providing read-only access to different states of the entities of the knowledge graph to authenticated subscribers.

Ad hoc supply chain community node

The self-audited routing of a shipping container includes acquiring a contemporaneous location of a shipping container within location based circuitry of a computing device affixed to the shipping container and retrieving from memory of the computing device affixed to the shipping container, an expected node and a destination node from a sequence of nodes in a path from an origin node of the shipping container, to the destination node. The contemporaneous location is then compared to a location of the expected node and, on the condition that the contemporaneous location is not within a threshold distance of the location of the expected node, a message is transmitted from the computing device over a wireless computer communications network to a remotely disposed client computer indicating a fault in routing of the shipping container to the destination node.

Route auditing for physical internet container routing

Notifying a user of an instant message (IM) service about a modification made to an opportunity includes receiving at least one modification to an opportunity stored in a customer relationship management (CRM) system, the opportunity representing a complex record structure in the CRM system, identifying a first user associated with the modification made to the opportunity stored in the CRM system, determining, from a list of users associated with the opportunity, a second user associated with the first user through an IM service, and sending an alert to the second user on the IM service, the alert indicating to the second user the modification made to the opportunity by the first user.

Notifying a user of an instant messaging (IM) service about a modification made to an opportunity

A system for dynamically adjusting content for an interaction impairment can include a data provider, an end-user electronic device, a user identification module, and a data adjustment module. The data provider can be capable of providing access to electronic data. One or more characteristics of the electronic data can be incompatible with an impairment of an impaired user. The end-user electronic device can be configured to allow the impaired user to interact with electronic data. The user identification module can be configured to identify an identity of the impaired user and/or the impairment of the impaired user. The data adjustment module can be configured to automatically adjust incompatible characteristics of the electronic data prior to presentation by the end-user electronic device. This adjustment can increase the ability of the impaired user to utilize the electronic data with the end-user electronic device.

Impairment-adaptive electronic data interaction system

An authenticated container access method includes selecting both a destination node for a shipping container positioned at a contemporaneous node and also a next node selected on a path from the contemporaneous node to the destination node. The method additionally includes writing both the next node and the destination node in an origin token along with an identification of an authorized individual enabled to access the shipping container, and then both storing the origin token in a computing device affixed to the shipping container and also transmitting the origin token to a computer at the next node. A request to access the shipping container is later received in the computing device and the token, extracted from the request. The tokens are compared and access to the shipping container permitted on condition that an identification value in the extracted token matches the identification of the authorized individual in the origin token.

Authenticated container access

Embodiments of the present invention provide a method, system and computer program product for co-dependent document container management. Co-dependent document container management includes loading into memory of a computer, a document container encapsulating a document, a co-dependency rule assigning a dependency of access to the document upon a specific geographic location, and co-dependency document access program code. The program code of the container may be executed in the memory of the computer causing the retrieval of a geographic position of the computer, the application of the co-dependency rule to the retrieved geographic position and, on condition that the geographic position of the computer satisfies the co-dependency rule, the location of a document viewer registered in the computer to render the document and the direction of the computer to launch the document viewer with the document as input to the document viewer.

Geographically co-dependent document containers

Internet-of-Things (IoT) prioritized sensor authentication management includes receiving in an IoT gateway different packets of data from different sensors over a computer communications network. For each received packet of data from a corresponding one of the different sensors, the received packet of data is compared to a pattern associated with the corresponding one of the different sensors. On the condition that the received packet of data is within a threshold of similarity to the pattern, a sensor value may be extracted from the received packet of data and transmitted to a sensor monitor. But otherwise, the received packet of data is placed into quarantine in memory of the IoT gateway, authentication of the corresponding one of the different sensors is performed, and in response to the authentication, the packet is released from quarantine, the sensor value extracted from the received packet of data and transmitted to the sensor monitor.

Pattern driven selective sensor authentication for internet of things

Embodiments of the present invention address deficiencies of the art in respect to social bookmarking and provide a method, system and computer program product for aggregating scoring of tagged content across social bookmarking systems. In an embodiment of the invention, a method for aggregating scoring of tagged content across social bookmarking systems can be provided. The method can include combining tag scores for a tag in content across multiple different social bookmarking systems into a single aggregate tag score and applying the single aggregate tag score to the tag in the content. In this regard, combining tag scores for a tag in content across multiple different social bookmarking systems into a single aggregate tag score can include computing either a simple or a weighted average of the tag scores for the tag to produce the single aggregate score.

Aggregate scoring of tagged content across social bookmarking systems

A method for computer program source level trust assurance in an Internet of Things (IoT) device includes receiving a request to install a computer program in an IoT device and storing, in temporary memory, a file containing a binary form of the computer program and an authenticity fingerprint incorporated as part of the binary form of the computer program. The method additionally includes extracting the authenticity fingerprint from the binary form of the computer program, retrieving a different fingerprint from remote storage and comparing the different fingerprint to the extracted fingerprint. Finally, the method includes installing the computer program into the IoT device in response to the comparison indicating that the extracted fingerprint is identical to the different fingerprint, but otherwise rejecting the request to install the computer program.

Computer program trust assurance for internet of things (IoT) devices

Prioritizing items based on user activity includes determining a user interest based on a current user activity and prioritizing items in a list presented in a display based on the user interest.

Prioritizing items based on user activity

Integrating metadata from applications used for social networking into a customer relationship management (CRM) system includes obtaining, from applications used for social networking, metadata associated with users of the applications, analyzing the metadata from the applications to infer opportunities, relationships for mapping clients, structures, and subject matter experts, and integrating the opportunities, the relationships for mapping the clients, the structures, and the subject matter experts into a CRM system to populate the CRM system.

Integrating metadata from applications used for social networking into a customer relationship management (CRM) system

Growing community of inventors

Ballsbridge, Ireland

Patrick Joseph O'Sullivan