International Business Machines Corporation

Kyndryl, Inc.

Mauro Marzorati

Aaron K Baughman

Gary Francis Diamanti

Jeremy R Fox

Sarbajit Kumar Rakshit

Yaser K Doleh

Brian M O'Connell

Shikhar Kwatra

Craig M Trim

Keith R Walker

John F Behnken

Rick A Hamilton, Ii

Mohamed Nooman Ahmed

Todd Russell Whitman

Ahmed M Nassar

Gregory A Porpora

Jeffrey David Amsterdam

Iwao Hatanaka

Rosa M Bolger

Seda Özses

Michael Bender

Stephen Carl Hammer

Brian W Jensen

Raghuram Srinivasan

Patrick Rodrigo Mardones Rodriguez

Michael Joseph Santelia

Juraj Nyíri

Michael F Baryla

Clifford A Pickover

Andrew R Jones

Cesar Augusto Rodriguez Bravo

Elizabeth Merckel Valletti

Jeffrey W Lucas

Christopher G Kalamaras

Martin G Keen

Zachary A Silverstein

Peeyush Jaiswal

Jana Helton Jenkins

Randy Allan Rendahl

Priyansh Jaiswal

Stephen Joseph Kenna

Christian Eggenberger

Paul Llamas Virgen

Juraj Nyiri

James R Kozloski

Peter Kenneth Malkin

Raghuveer Prasad Nagar

Kimberly Greene Starks

Vinod A Valecha

Mary E Rudden

Christopher Eythan Holladay

Jennifer M Hatfield

Herbert Daniel Pearthree

Moncef Benboubakeur

William A Mills

Ashish K Tanuku

James Edward Regan

Ashok K Panda

Ruben Luengas De La Fuente

Seda Ozses

John C Wingenbach

Jeremy A Greenberger

Trudy L Hewitt

Florian Pinel

Diwesh Pandey

Grant Douglas Miller

Uri Kartoun

Tiberiu (Jim) Suto

Gray Franklin Cannon

Ravi Prakash Bansal

Roxana Monge Nunez

Victor Povar

David Alonso Campos Batista

Christian Compton

Jill S Dhillon

Reji Jose

Shubhi Asthana

Jennifer L Szkatulski

Carolina Garcia Delgado

Julija Narodicka

Desilda Toska

Sai Krishna Reddy Gudimetla

Alan Chung

Kevin Jimenez Mendez

Nicholas Michael Wilkin

Jorge Alonso Hernandez Nevarez

Cindy J Mullen

Leanna Holmquist

Marc Wisniewski

Marco Antonio Martinez Ruvalcaba

Andrew Ladd Wismar

Ramamohan Chennamsetty

Barbara K Smith

Arif Basha

Faith Opiyo

Stefan Aloysius Gert Van Der Stockt

A computer-implemented method includes: presenting, by a computing device, a virtual event user interface to an attendee of a virtual event; obtaining, by the computing device, data about actions performed by the attendee within the virtual event; creating, by the computing device, a tensile sphere kernel that is specific to the attendee using the obtained data; creating, by the computing device, a mixed tensile sphere kernel using the tensile sphere kernel that is specific to the attendee and another tensile sphere kernel of another attendee; determining, by the computing device, an event recommendation of the virtual event using the mixed tensile sphere kernel; and presenting, by the computing device, the event recommendation to the attendee by changing the virtual event user interface to show the event recommendation.

Event experience representation using tensile sphere mixing and merging

Text is received from a user describing item(s) for migration to a computing environment with cloud feature(s), resulting in item description(s), the text including unstructured text that are processed separately. Text mining is performed on the unstructured text to extract item feature(s). For each listing a portion of the unstructured text is extracted, resulting in an extracted text portion for each listing from which an entity is identified. Each entity or item feature is mapped to cloud feature(s) available from solution(s) with cloud feature(s). Based on the cloud feature(s), recommendation(s) are made to the user regarding cloud feature(s) of the solution(s) for optional consideration by the user. Explanation(s) for the recommended cloud feature(s) from explainability model(s) may be provided to the user.

Computing environment provisioning

Embodiments of the invention are directed to a computer-implemented method that includes receiving, using a processor, data representing a 3D physical object by a processing device, and controlling, using the processor, a 3D printing device to apply successive layers of a material by a printing head including a nozzle. The controlling includes depositing at least one layer by instructing a snake robot of a configurable track system to form a shape and define a movement track that corresponds to a movement profile aligned with the 3D model, moving the printing head along the movement track defined by the snake robot, and depositing the at least one layer via the nozzle as the printing head is moved along the movement track.

Three-dimensional printing using configurable movement tracks

A three-dimensional (3D) printer nozzle. The 3D printer nozzle includes a nozzle body that is adapted to be deformed to allow for cross-sectional profile control during printing of a 3D printed object.

Three-dimensional printer nozzle for programmatic nozzle opening cross-sectional profile control

A system and methods for enhanced printing to manufacture 3D objects implement optimized utilization of additive printing and subtractive laser beam machining, enabling enhanced, efficient and effective manufacturing of 3D objects. Dynamically allocating the operations and the sequence of operations between additive printing and laser beam machining for each layer of a 3D object being manufactured enables optimizing manufacturing time, power consumption, and material consumption to manufacture 3D objects.

3D printing with combination of additive printing and laser beam machining

A computer-implemented method includes: setting up, by a computing device, an identification profile by capturing a first image using a camera of the computing device; requesting, by the computing device, an authentication action by an authentication device; comparing, by the computing device, recognized elements of the first image and a second image, the recognized elements of the first image and the second image including at least one of ephemeral features and transient features; determining, by the computing device, whether a confidence level is above a predetermined threshold based on a comparison of the recognized elements of the first image and the second image; and completing, by the computing device, authentication of the computing device with the authentication device in response to a determination that the confidence level is above the predetermined threshold.

Augmented user authentication

A universal serial bus device, including: a main body; a connection portion attached to the main body; a processor; a storage portion storing a hash function executable by the processor, the hash function producing a hash value; a non-changing visual code on the main body, the visual code being readable by an optical scanner and corresponding to the hash function; and an electronic display configured to display the hash value.

Security for USB-based device configuration

A method of 3D printing, a 3D printing system, and a vertical conveyor are disclosed herein. The 3D printing system comprises a vertical conveyor having a plurality of folding build plates; a plurality of biasing devices, a biasing device being configured to rotate a folding build plate from a folded position to a substantially horizontal position when the folding build plate enters a printing chamber position, and a 3D print head inside the print chamber adapted to 3D print an object on the folding build plate in the substantially horizontal position.

Continuous 3D printing

A method, computer system, and computer program product for utilizing crowdsourcing of images captured by individuals to determine the status of a subject is provided. The embodiment may receive, by a processor associated with a broad beacon, an impulse. The embodiment may also transmit a request to each client device within a preconfigured distance through the broad beacon based on the received impulse. The embodiment may further, in response to an acceptance of the transmitted request by a user associated with a client device, initializing a pairing sequence between the client device and an aimable beacon. The embodiment may also transmit information to identify a subject of photographic capture from the aimable beacon to the client device. The embodiment may further receive an image captured by the user based on the received information.

Object attribution derivation via crowd-sourced optical sensors

A method includes: receiving, by a computing device, user input defining a first location of a touchscreen of the computing device, the touchscreen displaying a user interface (UI) of an application; receiving, by the computing device, user input defining a second location of the touchscreen of the computing device; identifying, by the computing device, an interactive object of the UI at the first location; creating, by the computing device, an overlay including a copy of the interactive object and a masking object, the copy of the interactive object being at the second location and the masking object being at the first location; and causing, by the computing device, the touchscreen to display an output including the overlay superimposed over the UI.

Masked overlay for custom repositioning of interactive objects on a touchscreen of a computing device

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: iteratively obtaining utilization parameter values from first to Nth edge computing environments, training one or more predictive model by machine learning using parameter values of the utilization parameter values obtained by the iteratively obtaining, wherein the training includes training a first computing environment predictive model with use of parameter values of the utilization parameters obtained from the first computing environment by the iteratively obtaining.

Computing environment predictive provisioning

A method for authorizing access to an associated resource based on processing a series of barcode orientation scans. The method receives, by a barcode reader, a series of barcode orientation scans. The method further determines if the series of barcode orientation scans match a pre-selected combination of barcode orientations stored on the barcode reader and authorizes access to an associated resource, in response to the series of barcode orientation scans matching the pre-selected combination of barcode orientations stored on the barcode reader.

Enhanced security of a barcode

Controlling autonomous vehicle (AV) functions includes receiving occupant identification data from device(s) of an AV and identifying occupant(s) of the AV based on the received occupant identification data, determining a respective prioritization level for each occupant of the occupant(s), the prioritization level for each occupant dictating priority of the AV in performing commands provided to the AV by that occupant to control AV functions, receiving, from an occupant, input of a command for performance by the AV to control a function of the AV, determining whether to perform the command to control the function of the AV based on the prioritization level for the occupant, and performing processing based on the determining whether to perform the command.

Controlling autonomous vehicle functions

An image of a real-world environment including one or more users, is received from an image capture device. A mask status of a first user of is determined by a processor based on the image. A stream of audio including speech from one or more users is captured from one or more audio transceivers. A first user speech from the stream of audio identified by the processor. The stream of audio is parsed, by the processor and based on the first user speech and based on an audio processing technique, to create a first user speech element. An augmented view that includes the first user speech element is generated, for a wearable computing device, based on the first user speech and based on the mask status.

Diarisation augmented reality aide

An audio stream received from an audio transceiver. The audio stream is in an environment that includes audio of a first user. An acoustic communication of the first user is detected from the audio stream. An audio intent trigger of the first user is identified from the audio stream and based on the acoustic communication. An assistance action for the first user is initiated in response to the audio intent trigger and by a voice-based interface.

Intent driven voice interface

Growing community of inventors

Lutz, FL, United States of America

Mauro Marzorati