International Business Machines Corporation

Optum Technology, Inc.

Globalfoundries Inc.

Kyndryl, Inc.

Globalfoundries U.S. 2 LLC

Ninad D Sathaye

Rick A Hamilton, Ii

Edgar Adolfo Zamora Duran

Gregory J Boss

Luis Carlos Cruz Huertas

Rajesh Sathiyanarayanan

Raghav Bali

Ashwin Srinivas

Clifford A Pickover

Kota V R M Murali

Sukanya Randhawa

Christopher J Dawson

Aveek N Chatterjee

V Kishore Ayyadevara

Wouter Denayer

Devikiran Ramadas

Sree Harsha Ankem

Krishnamohan Nandiraju

Aditya Madhuranthakam

Shyam Charan Mallena

Nitin Dwivedi

Edward J Nowak

Brian M O'Connell

James R Kozloski

Piyush Gupta

John Maxwell Cohn

Balaji Jayaraman

Tamilmani Ethirajan

Mark Bell

Anthony J P Behan

An example method includes obtaining, by a computing system, first audio data representing one or more initial utterances during an interactive voice session with an interactive voice system; generating, by the computing system, based on the first audio data, a prediction regarding whether a subsequent utterance of a user in the interactive voice session will contain sensitive information, wherein the subsequent utterance follows the one or more initial utterances in time; obtaining, by the computing system, second audio data representing the subsequent utterance; determining, by the computing system, based on the prediction and based on a risk profile of the interactive voice system, whether to transmit the second audio data to the interactive voice system; and based on the determination to transmit the second audio data to the interactive voice system, transmitting the second audio data to the interactive voice system.

Cybersecurity for sensitive-information utterances in interactive voice sessions using risk profiles

Apparatuses, systems, and methods for more accurate remote monitoring of a user's body to stabilize the user during fall events and to thereby prevent the user from falling. In some embodiments, a wearable device comprising a power source, one or more sensors configured to monitor a user's COG (COG), at least one plurality of electrodes, a communications interface and a control device is provided. The wearable device is configured to apply electrical pulses according to defined electrical pulse stimulation protocols via the electrodes to target muscle groups of the user's body, causing those target muscle groups to contract and thereby stabilize the user's body during a fall event.

Systems, apparatuses and methods for stabilizing a user's body during detected fall events

Various embodiments of the present disclosure performing conversation sentiment monitoring for a conversation data object. In various embodiments, a text block that can be resized is identified within a conversation data object and successive regularized sentiment profile generation iterations are performed until a regularized sentiment score of the block exceeds a regularized sentiment score threshold. A current regularized sentiment profile generation iteration involves determining a regularized sentiment score for the block based on an initial sentiment score, a subjectivity probability value, and, optionally, a stage-wise penalty factor. A determination is then made as to whether the score exceeds the threshold. If so, then a regularized sentiment profile of the conversation data object is updated based on the regularized sentiment score. If not, then the text block is resized and a subsequent regularized sentiment profile generation iteration is performed based on the resized block.

Sentiment progression analysis

A method comprises obtaining, by a computing system, first audio data representing one or more initial utterances during an interactive voice session with an interactive voice system; generating, by the computing system, based on the first audio data, a prediction regarding whether a subsequent utterance of a user during the interactive voice session will contain sensitive information, the subsequent utterance following the one or more initial utterances in time; obtaining, by the computing system, second audio data representing the subsequent utterance; determining, by the computing system, based on the prediction, whether to transmit the second audio data; and based on a determination not to transmit the second audio data: replacing, by the computing system, the second audio data with third audio data that is based on a voice of the user; and transmitting, by the computing system, the third audio data.

Cybersecurity for sensitive-information utterances in interactive voice sessions

Cognitive assistants which use feedback to highlight relevant points of interest to a user so that recommendations can be provided to the user based upon learned knowledge of the users preferences, tastes and customs are provided. For this purpose a computer-implemented method includes capturing user data of a user from a plurality of sensors, determining a cognitive state of the user from the captured data, correlating the user data to the cognitive state of the user, and making recommendations to the user based on the correlation of the user data and the determined cognitive state of the user.

Cognitive assistant with recommendation capability

A method, computer system, and computer program product for cognitive elevator advertisements are provided. The embodiment may include identifying one or more passengers utilizing real-time sensor data. The embodiment may also include determining a preference value of each identified passenger for a plurality of product categories based on a plurality of data related to past purchase histories or purchasing patterns received from a plurality of databases simultaneously or almost simultaneously. The embodiment may further include computing corrected passenger preference values for the plurality of product categories based on unprejudiced preference values of the passengers multiplied by the preference values assigned to each product category. The embodiment may also include determining one or more targeted advertisements for one or more targeted passengers based on each computed passenger preference values. The embodiment may further include displaying one or more advertisements on one or more display screens within an elevator based on the one or more targeted advertisements.

Cognitive elevator advertisements

Systems and methods for cognitive mobile wallet management are disclosed. In embodiments, a method comprises: obtaining, by a computing device, user contextual data; determining, by the computing device, a potential user purchase and an associated purchase category; and dynamically determining, by the computing device, a flexible spending rule for the purchase category based on one or more stored spending rules and the contextual data, wherein the flexible spending rule changes an amount of currency available to a user through the computing device.

Cognitive mobile wallet management

Aspects provide for design template selectors, wherein processors are configured to determine a design pattern from a user input comprising a spatial arrangement of different discrete constituent design components, and determine that the design pattern input spatial arrangement of constituent components matches a portion of a selected one of a knowledge base plurality of completed design patterns that each comprise different fixed spatial arrangements of discrete constituent components within a threshold amount of confidence. Thus, aspects present the selected one of the knowledge base design patterns to the user as a suggested template for use in completing the design.

Template selector

Security system devices are configured to retrieve historic first sensor data acquired from a protected area in response to receiving a threat alarm notification from a peer security system that is related to an area monitored by the peer security system, wherein the protected area is different from and geographically separate from the area monitored by the peer security system. The system devise determines that a security threat is indicated for the protected area by assessing the retrieved selection of historic first sensor data as a function of a relation of the threat alarm notification from the peer security system to the protected area, wherein assessing the historic first sensor data without the function of the relation of the threat alarm notification from the peer security system to the protected area results in determining that the security threat is not indicated for the protected area.

Security system with cooperative behavior

Embodiments of the present invention provide systems and methods for analyzing cognitive status. The method includes capturing a set of observables for a subject based on their interaction with smart objects, such as smart blocks or smart items. The method further includes accessing data sets, such as medical data about cognitive function, scientific data about cognitive function, and historical data for the subject, analyzing the set of observables, and generating a report about the cognitive abilities of the subject based on the analysis.

Analysis of cognitive status through object interaction

Embodiments of the present invention provide a circuit board enclosed in an encasing with processors and memory, configured to receive and analyze data, and containing computer logic capable of receiving and analyzing data. The apparatus further includes sensors connected to the processors configured to transfer data to the processors, a power source configured to provide power to the processors, memory modules and sensors, one or more of a light source, an audio source, a vibration source, and a video source, a timing device, a wireless component and/or a wired component capable of transferring data, a light sensor capable of determining the intensity of the received light, computer logic capable of generating a report or transferring the data to a source capable of generating the report, where the report is a cognitive assessment, a comparison of cohorts, or a determination of how the subject puts together an apparatus with a second apparatus, and where the cohorts are people with same or similar diseases, conditions, ages, medical histories, social demographics, experience levels, or locations.

Methods, systems, computer program products, and devices for in-pipeline optical interference-based cognitive systems for leak and defect detection are provided herein. A computer-implemented method includes obtaining optical interference-related data pertaining to at least one interior portion of a pipeline; obtaining multiple items of sensor data pertaining to the at least one interior portion of the pipeline; generating one or more pipeline-irregularity predictions by applying an inference-based algorithm to the optical interference-related data, the multiple items of sensor data, and one or more additional items of data, wherein each of the one or more pipeline-irregularity predictions comprises an identified location within the interior surface of the pipeline of a predicted irregularity and an estimated size of the predicted irregularity; and outputting the one or more pipeline-irregularity predictions to one or more users.

In-pipeline optical interference-based cognitive system for leak and defect detection

Methods, systems, and computer program products for in-pipeline maintenance, delivery and management of sensors are provided herein. An exemplary computer-implemented method includes detecting a sensor within a pipeline via an in-pipeline sensor management system, determining a path for the in-pipeline sensor management system to travel to the detected sensor, and automatically attaching the in-pipeline sensor management system to the detected sensor upon a determination that the in-pipeline sensor management system has completed the path and reached the detected sensor. The method also includes determining maintenance operations to be performed on the detected sensor based on real-time data pertaining to the sensor and historical operation records pertaining to the detected sensor. Further, the method includes performing the maintenance operations, via the in-pipeline sensor management system, on the detected sensor, and automatically detaching the in-pipeline sensor management system from the detected sensor upon determining that the maintenance operations have been completed.

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Pune, India

Ninad D Sathaye