International Business Machines Corporation

Globalfoundries Inc.

Shunguo Yan

Su Liu

Steven Duane Clay

Michal Broz

Richard Scott Schwerdtfeger

Elizabeth Vera Woodward

Puthukode G Ramachandran

Brian John Cragun

Debbie A Anglin

Allen Keith Wilson

Thomas Andrew Brunet

Peter J Fay

Michael Anthony Strack

Paul R Bastide

Robert E Loredo

Matthew E Broomhall

Susann Marie Keohane

Jian Li

Eduardo N Spring

Denise Marie Genty

Dale M Schultz

Barry Alan Feigenbaum

Maureen Elizabeth Kraft

John C Emmons

Holly Lee Nielsen

Cheng Xu

Wei T Huang

Andrew Jason Lavery

Scott J Broussard

John Conrad Sanchez

Faheem Altaf

Robert W Thompson

Amanda Y Burgmeier

Brent N Shiver

Andrew F Ly

Yvonne Patrice Stoetzel

Lisa Seeman

Li Ge

Ali Ishaq Unwala

Gabriel Cody Terrell

Dimitri Kanevsky

James R Kraemer

Robert R Friedlander

Kai Liu

Zhuo Li

Yu Liu

Nitendra Rajput

Jun Su

Samuel Scott Adams

James Lee Lentz

Vikrant Nandakumar

Li Li

Yang Liang

Ankur Gupta

Manjunath Ravi

Vivek Shyamlal Sharma

Paul William Bennett

Hamid Majdabadi

Priscilla Santos Moraes

William Arthur Griffith

John C Hartley

Michael Ian Davis

Guoyou Chen

Robert K Sloan

Rosalind Toy Allen Radcliffe

Walter S Kuhnel

Jiawei Wu

K Anne-Rivers Forcke

Alberto Fung

Rahul R Belekar

Phillip Jenkins

K Rene' Staff

Kevin Tan

Puthukode G Ramchandran

Xinhua Wu

User authentication is provided. A most recent user secret block of a set of unprocessed user secret blocks corresponding to a user is retrieved from a blockchain. The user is challenged using a question and answer pair contained in the most recent user secret block of the set of unprocessed user secret blocks corresponding to the user. It is determined whether the user successfully passed the challenge using the question and answer pair contained in the most recent user secret block of the set of unprocessed user secret blocks corresponding to the user. The user is authenticated to access a decentralized service in response to determining that the user did successfully pass the challenge using the question and answer pair contained in the most recent user secret block of the set of unprocessed user secret blocks corresponding to the user. The user is allowed to access the decentralized service.

Generate blockchain-based user secrets to authenticate users to decentralized services

A computer-implemented method to send targeted messages based on a driver's intent. The method includes identifying, by a sending vehicle, one or more additional vehicles in the vicinity of the sending vehicle, including a first vehicle. Monitoring a set of data related to a current scenario for the sending vehicle and determining, based on a current scenario, an intent score for the sending vehicle. The method includes activating a horn device associated with the sending vehicle. The method further includes determining, in response to the activating, the intent score is above an intent threshold for the first vehicle. The method includes generating, in response to the intent score being above the intent threshold, a message; and sending, to a target vehicle, the message. Further aspects of the present disclosure are directed to systems and computer program products containing functionality consistent with the method described above.

Intelligent vehicle horn

An index is provided of content at timestamps of frames in a video. A search request is received with search content. A determination is made of matching content in the index, associated with a timestamp, matching the search content. A computer addressable link to the timestamp in the index associated with the matching content is returned to the search request. Selection of the computer addressable link causes the video to play from the timestamp.

Searching content within a video for play points relevant to the searched content to return in computer addressable links having the play point

An event at a location is identified. An event risk of the event can be calculated based on risk characteristics of both the location of the event ('location risk characteristics') and the event itself ('personnel risk characteristics'). Location risk characteristics can include a visitor history of the location. Personnel risk characteristics can be based on attendees of the event, such as a number of attendees. The overall event risk, once calculated, can be compared to a threshold. Depending on the comparison, a risk mitigation policy can be implemented.

Location-based risk evaluation

A method, computer system, and a computer program product for modifying a user interface. Attributes of a source object identified by a user in connection with a user input for storing the source object are determined. Attributes of one or more target storage locations are determined. A target storage location for storing the source object is predicted, along with a confidence value associated with the prediction. The prediction is made using a machine learning model that predicts the predicted target storage location and associated confidence value based on the determined attributes of the source object. A plurality of target storage location usage patterns are determined. The user interface is modified based on the predicted target storage location.

Facilitating user input by predicting target storage locations

Method, system and computer program product for transaction evaluation based on a potential impact of the potential transaction on defined plans. In one embodiment, the method comprises receiving at a financial analysis computer system specified interactions intercepted when a person uses a client computing device to identify a potential transaction, and the analysis computer system processing these interactions for determining a potential impact of said transaction on one or more defined goals of the person. Before the person commits to the transaction, the analysis computer system generates a client guidance signal based on this determining, and sends the client guidance signal to the client computing device to instruct that device to convey guidance to the specified about the transaction. The specified interactions received at the financial analysis computer system data may identify a transaction context and activity of the person.

Interception of digital interaction to drive desired outcomes

Provided is a method, computer program product, and system for leveraging spatial scanning data of an environment collected by a robotic vacuum to generate recommendations for improving environmental conditions. A robotic vacuum may collect cleanliness data relative to an environment. The robotic vacuum may store the cleanliness data over a plurality of cleaning cycles. The robotic vacuum may analyze the cleanliness data over the plurality of cleaning cycles to identify one or more cleanliness trends. The robotic vacuum may generate a recommendation for improving an environmental condition relative to the environment based on the identified one or more cleanliness trends. The robotic vacuum may provide the recommendation to a user.

Leveraging spatial scanning data of autonomous robotic devices

A combined translation request is obtained that includes content of a first language to be translated to a second language combined with translation context information of a user for which translation is to be performed. The content is translated, using machine translation, from the first language to the second language based on the translation context information to provide a translation. The translation is adjusted based on one or more identified translation factors selected based on user feedback to provide an adjusted translation. The adjusted translation is provided to the user.

Machine translation integrated with user analysis

A tool for providing a secure communication channel during three-way communications. The tool initiates a three-way communication from a user device, wherein the three-way communication is a connection between a user, a third-party interpreter, and a service provider. The tool enables a passthrough function of a secured switch for transmitting non-privileged data during the three-way communication. The tool determines whether privileged data is to be transmitted during the three-way communication. Responsive to a determination that privileged data is to be transmitted during the three-way communication, the tool mutes an audio communication component. The tool activates a bypass function of the secured switch for transmitting the privileged data on an alternate audio communication component. The tool transmits the privileged data directly from the user to the service provider through the alternate audio communication component, wherein the alternate audio communication component supports unidirectional text-to-speech (TTS) audio communication.

Secured switch for three-way communications

A method for facilitating identification of navigation regions in a web page based on document object model (DOM) analysis is provided. In one embodiment, the method includes analyzing the web page for features. The features include at least one of: interactive elements, content regions, link region roots, or landmarks. The method also includes representing the features in a tree structure and analyzing the tree structure for a link density to identify non-main landmarks, a reading order, and main content roots. The method further includes enabling a region navigation for the web page based on the identified non-main landmarks, reading order, and main content roots.

Method for facilitating identification of navigation regions in a web page based on document object model analysis

According to one embodiment, a computer-implemented method includes collecting data corresponding to an image of one or more objects captured by a user on an image capture device, wherein the data comprises biometric data, emotion data, image quality data, and context data. In addition, the computer-implement method includes determining an image quality (IQ) value based on the image quality data, determining an emotion (E) value based on at least one of the biometric data and the emotion data, and determining a relationship (R) value between the one or more objects and the user based on the context data. The computer-implement method includes calculating an Overall Emotional Image Quality Score (OEIQS) for the image based on the IQ value, the E value, and the R value, and categorizing the image into at least one of a plurality of predefined categories.

Cognitive object emotional analysis based on image quality determination

The present invention provides a system and method of adjusting an electronic device display based on eyewear properties. Eyewear properties such as tint level, tint shade, and polarization are obtained from eyewear, a database, or manual entry. The device display is then adjusted based on the eyewear properties to facilitate viewability of the electronic display for the user while wearing the eyewear.

System and method of adjusting a device display based on eyewear properties

Balancing a workload based on commitments to projects includes monitoring messages in a collaboration system, the messages representing correspondences between users of the collaboration system, selecting a number of the users associated with the collaboration system to form a group of users, retrieving the messages from each of the users in the group of users, analyzing data associated with the messages to determine which of the messages relate to at least one project, and executing, based on a threshold, at least one action to optimize a workload for at least one user in the group of users for the at least one project.

Balancing a workload based on commitments to projects

To augment an image caption, a caption graph containing entity nodes corresponding to entities contained in the image and relationship edges between entity nodes corresponding to relationships between entities as illustrated in the image is generated. In addition, a contextual graph containing one or more of entity nodes corresponding to entities contained in the image and described in text associated with the image, textual entity nodes corresponding to textual entities described in text associated with the image and textual relationship edges between entity node pairs, textual entity node pairs and entity node and textual entity node pairs is generated. The textual relationship edges correspond to relationships described in the text associated with the image between entity pairs, textual entity pairs or entity and textual entity pairs. From the contextual graph, an augmented caption graph containing entity nodes, relationship edges, textual entities and textual relationship edges is generated.

Image captioning augmented with understanding of the surrounding text

Growing community of inventors

Austin, TX, United States of America

Shunguo Yan