International Business Machines Corporation

Kyndryl, Inc.

Komminist Weldemariam

Michael S Gordon

Aisha Walcott

Shikhar Kwatra

Shantanu Ravindra Godbole

Celia Cintas

Girmaw Abebe Tadesse

Victor Abayomi Akinwande

Sarbajit Kumar Rakshit

James R Kozloski

Zachary A Silverstein

Ramya Raghavendra

Seng Chai Gan

Smitkumar Narotambhai Marvaniya

Victor Povar

Anil Bindu Lingambudi

Ranjini Bangalore Guruprasad

Kedar Kulkarni

Jitendra Singh

Geeth Ranmal De Mel

Andrew Kinai

Kamal Das

Fred Ochieng Otieno

Iranna Dharmaraya Ankad

Richard J Tomsett

A method, computer system, and a computer program product for dynamic speech modulation is provided. The present invention may include transmitting a first response to a received command. The present invention may include determining the first response is not understood by a user. The present invention may include transmitting a second response to the received command.

Dynamic virtual assistant speech modulation

A face mask and a method for fabricating a face mask. The face mask may comprise an air permeable membrane having an exterior surface and an interior surface, and a thermometer affixed to the exterior surface of the air permeable membrane. The air permeable membrane may be adapted to overlay a wearer's mouth and nose. The thermometer may be adapted to measure a temperature of the wearer and to allow other people in close proximity to the wearer see the temperature of the wearer at a glance.

Contextual personal protective equipment

A method, a structure, and a computer system for digital twin management. The exemplary embodiments may include gathering data corresponding to one or more bodily tissues and generating one or more digital twin versions of the one or more bodily tissues. In addition, the exemplary embodiments may further include identifying a most appropriate digital twin version of the one or more digital twin versions based on a health and a compatibility of the one or more digital twin versions, and distributing the most appropriate digital twin version.

Digital twin manager

With a trained, computerized discontinuation predictor machine learning component (MLC), predict, based on an input time series, a time when a subject will discontinue a course of medical treatment; with a trained, computerized pattern behavior extractor MLC, extract from said input time series the top k discriminatory sequences via discriminatory sub-sequence mining (said top k discriminatory sequences differentiate between first and second classes of interest to provide a hypothesis for downstream analysis of a cause of discontinuing said course of treatment). With a trained, causal effect estimator computerized MLC, determine a reason why said subject will discontinue said course of medical treatment, based on said top k discriminatory sequences and additional data; and with a computerized user interface, provide said time and said reason why to a responsible party to initiate an intervention.

Pattern discovery, prediction and causal effect estimation in treatment discontinuation

A system, computer program product, and method are presented for forecasting a spatio-temporal calendar including predicted regions of interest based on time dependent factors such as long-term weather predictions, time-independent factors, and travel constraints. The method includes collecting information and constraints with respect to service visits. At least a portion of the collected information and constraints are directed toward weather and climate. The method also includes predicting weather and climate impacts on at least one geographical region of interest. The method further includes predicting, subject to the predictions of weather and climate impacts, one or more locations of interest within the at least one geographical region of interest that would be impacted by one or more service visits. The method also includes generating one or more spatio-temporal calendars that include the one or more locations of interest scheduled for the one or more service visits.

Spatio-temporal calendar generation

Configuration and dynamic profiling of storage class memory (SCM) devices is provided. Information is retrieved that includes historical SCM device configurations, historical SCM device utilization, functional and non-functional properties of a plurality of SCM devices on a host node, current real time utilization of the plurality of SCM devices by an application workload of a customer running on the host node, and relationships between the plurality of SCM devices, needs of the customer, and resource capabilities and real time resource utilization on the host node. A configuration of each respective SCM device is determined based on retrieved information and an artificial intelligence-predicted SCM device future utilization trajectory of the customer. Each respective SCM device is dynamically configured with a set of SCM device partitions according to a corresponding SCM device profile based on the determined configuration of each respective SCM device of the plurality of SCM devices.

Dynamic profiling of storage class memory (SCM) based on monitored SCM utilization and predicted future SCM utilization

A computer-implemented method for correcting muffled speech caused by facial coverings is disclosed. The computer-implemented method includes monitoring a user's speech for speech distortion. The computer-implemented method further includes determining that the user's speech is distorted. The computer-implemented method further includes determining that a cause of the user's speech distortion is based, at least in part, on a presence of a particular type of facial covering. The computer-implemented method further includes automatically correcting the speech distortion of the user based, at least in part, on the particular type of facial covering causing the speech distortion.

Method and system for automatic detection and correction of sound caused by facial coverings

Methods, systems, and computer program products for auto-discovery of reasoning knowledge graphs in supply chains are provided herein. A computer-implemented method includes obtaining a spatiotemporal query related to a demand of at least one product in a supply chain; analyzing the spatiotemporal query to identify one or more parameters affecting the demand of the at least one product, wherein the one or more parameters comprise at least one of one or more climate parameters and one or more disruptive event parameters; generating a knowledge graph comprising information indicating an impact on the demand of the at least one product for at least a portion of the one or more parameters; and outputting, to a user interface, an explanation of a predicted demand forecast for the at least one product based at least in part on the knowledge graph.

Auto-discovery of reasoning knowledge graphs in supply chains

A supervised discriminator for detecting bio-markers in an audio sample dataset is trained and a denoising autoencoder is trained to learn a latent space that is used to reconstruct an output audio sample with a same fidelity as an input audio sample of the audio sample dataset. A conditional auxiliary generative adversarial network (GAN) trained to generate the output audio sample with the same fidelity as the input audio sample, wherein the output audio sample is void of the bio-markers. The conditional auxiliary generative adversarial network (GAN), the corresponding supervised discriminator, and the corresponding denoising autoencoder are deployed in an audio processing system.

Obfuscating audio samples for health privacy contexts

A method, computer system, and a computer program product for interpreting conference call interruptions is provided. The present invention may include analyzing a conference call including at least two participants. The present invention may also include identifying at least one interrupted segment in the analyzed conference call. The present invention may further include reconstructing the identified at least one interrupted segment of the analyzed conference call and integrating it with the uninterrupted (heard) portion of the conference call.

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Ottawa, Canada

Komminist Weldemariam