International Business Machines Corporation

Kyndryl, Inc.

Maplebear Inc.

John Michael Ganci, Jr

James Edward Bostick

Sarbajit Kumar Rakshit

Martin G Keen

Craig M Trim

Kimberly Greene Starks

John Paul Kaemmerer

Hernan A Cunico

Brian M O'Connell

David Scott Wenk

Clement Decrop

Shuvamoy Saha

Gregory J Boss

Tamer E Abuelsaad

Souvik Majumdar

Aaron K Baughman

Abhishek Malvankar

Ajay K Behuria

Ji Young Roe

Arvind Singh

Christopher J Dawson

Zachary A Silverstein

Christopher L Molloy

Carlos A Fonseca

Keyur D Dalal

Paul Alexander Raphael Frank

Ajoy Acharyya

Paul E Hensler

Stephen G Meyer

David Bruce Lection

Charles Evan Beller

Raghuraman Kalyanaraman

Wing L Leung

Jie Z Zeng

Sean M Fuoco

David W Watts

Jeremy R Fox

Keith R Walker

Michael Bender

Gandhi Sivakumar

Stephen Carl Hammer

Ashok Pon Kumar Sree Prakash

Victor Povar

Mary E Rudden

Jennifer M Hatfield

Umamaheswari C Devi

Thomas Jefferson Sandridge

Stefan Van Der Stockt

Neil Sahota

Richard D Johnson

Veronica Wyatt

Anna Chaney

Wunchon Beak

Ibrahim Salah

Kent Hua

Shashank Katare

Sharon Woodall White

An embodiment includes tokenizing a code segment generated by an integrated development environment responsive to user input, the tokenizing resulting in a tokenized code segment. The embodiment generates a search query by analyzing the tokenized code segment using a trained neural network. The embodiment executes a querying process that searches a knowledge base using the search query for a hardware requirement associated with the code segment, and detects a search result that conveys the hardware requirement as including a specialized hardware resource. The embodiment generates a time allotment associated with execution of the code segment using a second trained neural network that predicts the time allotment based on the tokenized code segment. The embodiment issues an instruction associated with the code segment to a hardware scheduler causing the hardware scheduler to allocate the specialized hardware resource for an amount of time corresponding to the time allotment.

Cognitive allocation of specialized hardware resources

Systems and methods for ranking search results according to a knowledge level of a user are provided. A computer-implemented method includes: receiving, by a computing device, a search query from a user via a user computer device; determining, by the computing device, a plurality of results based on the search query; determining, by the computing device, a respective expertise level for each of the plurality of results; ranking, by the computing device, the plurality of results based on a knowledge level of the user and the respective expertise level for each of the plurality of results; and outputting, by the computing device, the ranked plurality of results to the user computer device.

Ordering search results based on a knowledge level of a user performing the search

A computer-implemented method for airflow control for agricultural pollination is disclosed. The computer-implemented method includes performing image analysis on an agricultural image to determine a type and classification of one or more plants in the agricultural image, determining one or more pollination requirements for the one or more determined plants, determining one or more current airflow parameters within a predetermined area of the one or more plants in the agricultural image, determining one or more optimal airflow parameters based on the type of plants in the agricultural image, the classification of plants in the agricultural image, the one or more pollination requirements for the plants in the agricultural image, and the one or more current airflow parameters, and generating an automatic airflow adjustment model for optimizing the airflow parameters for the plants based, at least in part, on the one or more determined optimal airflow parameters.

Airflow control for agricultural pollination

An artificial intelligence (AI) platform to support selective replacement of one or more image layers of a container image build. A metadata file is subject to natural language processing and one or more corresponding vector representations are created and subject to evaluation by a set of artificial neural networks (ANNs). A first ANN assesses each vector representation with respect to compliance and operability, and the second ANN selectively assesses the vector representation(s) with respect to similarity with one or more compliant vector representations. In response to the assignment of the second score, at least one vector representation of the received metadata file is selectively replaced with at least one compliant vector representation. The metadata file is selectively provisioned with the selectively replaced vector representation(s).

Risk assessment of a container build

According to one embodiment, a method, computer system, and computer program product for mitigating computer fan noise. The embodiment may include retrieving a previously generated baseline profile for a user participating in a real-time e-conference call via a computing device. The embodiment may include identifying real-time hardware and software metrics of the computing device. The embodiment may include calculating a current fan indicative noise (FIN) score for the call based on the baseline profile and the identified metrics. The embodiment may include determining whether the current FIN score is above a threshold value. In response to determining that the FIN score is above a threshold value, the embodiment may include determining whether the computing device is at risk of damage. In response to determining that the computing device is not at risk of damage, the embodiment may include limiting operation of one or more fans of the computing device.

Dynamic mitigation of fan noise during e-conference based on real-time and retroactive data

According to one embodiment, a method, computer system, and computer program product for selecting methods of interfacing between a smart headset and a user based on privacy risk is provided. The present invention may include determining a privacy context of the smart headset based on the location, surrounding environment, and content associated with a smart headset, selecting at least one output method and at least one input method compatible with the smart headset based on the security of the output method and the input method within the privacy context, and operating the smart headset to interface with a user using the at least one output method and the at least one input method.

AI privacy interaction methods for smart glasses

Systems and methods for generating customized image reaction submissions and visualizations on social networks are disclosed. In embodiments, a computer-implemented method includes: obtaining, by the computing device, user profile data of a user accessing an image on a social network, wherein the user profile data includes user interest categories of the user; determining, by the computing device, select content classes from a plurality of content classes associated with the image, wherein the select content classes match user interest categories of the user based on the user profile data; providing, by the computing device, selectable reactions to the user, wherein the selectable reactions each represent a different user reaction to the image; and providing, by the computing device, selectable content options to the user, wherein content option is associated with a different one of the content classes and is selectively associated, by the user, with at least one of the reactions.

Customized image reaction submissions and visualization on social networks

A computer-implemented method, including monitoring, by a computing device, usage data of an application on a primary user device; detecting, by the computing device, a mirroring of the application on a secondary user device based on an identification of the application; determining, by the computing device, a synchronization setting of the application including a secondary user device based on a historical synchronization data for the application; and generating, by the computing device, a synchronization configuration for the application on the secondary user device based on the usage data; and synchronizing, by the computing device, the application on the secondary user device with the synchronization configuration.

Automatic application configuration synchronization based on data analytics

A method, a computer program product, and a system for enacting ameliorative resource action during an e-conference. Exemplary embodiments of the present inventive concept may include a method for enacting ameliorative resource action during an e-conference. The method may include collecting data from a user's computer device during the e-conference. Features may be extracted from the collected e-conference data. A user's participation within the e-conference and a resource consumption thereof may be forecasted by applying a user activity model to the extracted features. The ameliorative resource action may be enacted based upon the forecasted user's participation and the resource consumption thereof.

Ameloriative resource action during an e-conference

Methods, systems, and computer program products includes, for example, detecting a first personal electronic device associated with a first user in the presence of a second personal electronic device associated with a second user, determining the first personal electronic device in the presence of the second personal electronic device being associated with the first user and the second user being in a business setting, receiving user data regarding the second user in response to the determination of the first user and the second user being in the business setting, and storing the received user data regarding the second user in a first memory for access by the first user on the first personal electronic device.

Automatic information exchange between personal electronic devices upon determination of a business setting

One or more computer processors detect a computing device within a proximity to a rollable device. The one or more computer processors determine a location and an orientation of the rollable device relative to the computing device. The one or more computer processors attach the rollable device to the computing device utilizing the set of biometric locks engaged programmatically such that at least one side of the rollable device is locked and hinged to the computing device. The one or more computer processors responsive to the rollable device attached to a side of the computing device, extend a display area of the computing device to the rollable device.

Rollable extended mobile device display

Methods, computer program products, and systems are presented. The methods include, for instance: collecting location data of users and identifying candidates for an impromptu interaction amongst the users based on converging locations of the candidates. A topic of the impromptu interaction is determined by common work interests amongst the candidates. Notification of the impromptu interaction is sent to the candidates to inform the topic and the other candidate, also with resources relevant to the topic.

Cognitive impromptu interaction assistant

A valid combination of products is constructed from a set of products identified by a retailing backend system. The valid combination satisfies a condition of an offer. A product in the combination of product is a physical product located in a physical store. A social sentiment towards the product in social media data of a shopper is evaluated, and a rating of the product is computed using the evaluation. A location of the product in the store is obtained from the retailing backend system. The location of the product is overlaid on a view of the store, where the view is from a perspective of a location of the shopper, the shopper being physically situated in the store.

Real-time product selection guidance for conditional sales

One or more computer processors detect a contextual need for sound generation on a rollable display device, wherein the rollable display device comprises an array of micro-speakers mounted on one or more microfluidics panels and a plurality of embedded piezoelectric strips. The one or more computer processors identify one or more environmental parameters associated with an environment surrounding the rollable display device. The one or more computer processors determine a rolling profile associated with the rollable based on the detected contextual need and the one or more identified environmental parameters. The one or more computer processors roll the rollable display device based on the determined rolling profile utilizing the plurality of piezoelectric strips. The one or more computer processors adjust an output direction of each micro-speaker in the array of micro-speakers utilizing the respective microfluidics panel.

Learned rollable flexible device sound creation

A method of searching for videos includes receiving, by a computer device, a search query from a user computer device. The method also includes determining, by the computer device, a set of videos that satisfy the search query. The method further includes determining, by the computer device, a subset of related videos from the set using metadata to determine a relationship based on date, time, and location. The method additionally includes generating, by the computer device, a consolidated video from the subset of related videos by merging a first portion of a first one of the subset of related videos with a second portion of a second one of the subset of related videos.

Consolidating video search for an event

Growing community of inventors

Raleigh, NC, United States of America

John Michael Ganci, Jr