International Business Machines Corporation

Kyndryl, Inc.

Mauro Marzorati

Aaron K Baughman

Jeremy R Fox

Gary Francis Diamanti

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

Michael F Baryla

Juraj Nyíri

Michael Joseph Santelia

Patrick Rodrigo Mardones Rodriguez

Clifford A Pickover

Trudy L Hewitt

Andrew R Jones

Jana Helton Jenkins

Cesar Augusto Rodriguez Bravo

Carolina Garcia Delgado

Elizabeth Merckel Valletti

Christopher G Kalamaras

Jeffrey W Lucas

Martin G Keen

Zachary A Silverstein

Peeyush Jaiswal

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

Christian Compton

Jennifer M Hatfield

Herbert Daniel Pearthree

Moncef Benboubakeur

William A Mills

Ashish K Tanuku

Ashok K Panda

James Edward Regan

Seda Ozses

John C Wingenbach

Ruben Luengas De La Fuente

Jeremy A Greenberger

Florian Pinel

Diwesh Pandey

Grant Douglas Miller

Uri Kartoun

Tiberiu (Jim) Suto

Gray Franklin Cannon

Victor Povar

Ravi Prakash Bansal

Roxana Monge Nunez

David Alonso Campos Batista

Jill S Dhillon

Reji Jose

Jennifer L Szkatulski

Shubhi Asthana

Julija Narodicka

Desilda Toska

Sai Krishna Reddy Gudimetla

Alan Chung

Kevin Jimenez Mendez

Nicholas Michael Wilkin

Jorge Alonso Hernandez Nevarez

Marc Wisniewski

Cindy J Mullen

Leanna Holmquist

Andrew Ladd Wismar

Marco Antonio Martinez Ruvalcaba

Stefan Aloysius Gert Van Der Stockt

Ramamohan Chennamsetty

Barbara K Smith

Christopher A Kulakowski

Arif Basha

Faith Opiyo

Christopher Kalamaras

According to an embodiment of the present invention, a method for detecting allergens using smart tooth and IoT is provided. The method includes obtaining real-time environmental allergen context data, wherein the obtained real-time environmental allergen context data includes visual data and sensor data. Features are extracted from the obtained real-time environmental allergen context data, including at least one detected environmental allergen type, an environmental allergen exposure pathway, and an environmental allergen concentration. A real-time unique allergic reaction risk score is generated for a user based on analysis of a user allergic risk profile and the extracted features from the obtained real-time environmental allergen context data. A real-time warning is generated to the user when the generated unique allergic reaction risk score exceeds a predetermined threshold.

Detecting allergens using internet of things

A cane for increased sweep coverage includes a first time-of-flight (TOF) sensor, a haptic feedback generator and a processor. The first TOF sensor is disposed at a first end of the cane and is configured to emit a first TOF beam. The haptic feedback generator is disposed towards a second end of the cane that is distally opposite from the first end of the cane. The processor is configured to receive signal data from the first TOF sensor, determine, based on the received signal data, whether an obstacle is present within the first TOF beam, and activate the haptic feedback generator in a first haptic feedback pattern in response to the processor determining that the obstacle is present. A method for using the cane to detect obstacles is also provided.

Wide sweep cane

An approach for improving completely automated public turing test to tell computers and humans apart (CAPTCHA) reliability for a resource. The approach receives a request for a CAPTCHA validation from a user. The approach retrieves a CAPTCHA analysis configuration associated with the user. The approach displays a CAPTCHA multi-zone display defined by the configuration. The approach receives video input containing adjunct objects, associated with objects visible on the user, from the user for the multi-zone display. The approach determines if the inputs are valid based on the CAPTCHA analysis configuration. The approach, responsive to the inputs being valid, allows access to the resource.

Multi-factor captcha with adjunct signals

A capture operation is identified. The capture operation is performed by a first capture device. The capture operation is of a video steam of a subject that is located in an environment. The video stream includes a perspective of the subject. A capture limitation of the first capture device, related to capturing the subject, is determined. In response to the capture limitation one or more candidate capture devices in the environment are detected. A second capture device is selected as a selected capture device, from the one or more candidate capture devices. The second capture device is instructed to perform the capture operation. The video stream is transferred from the first capture device to the second capture device; the transfer maintains the perspective.

Multiple entity video capture coordination

A vehicle and/or fleet of vehicles that are equipped with: (i) a wind velocity detection device (for example, an ultrasonic wind velocity detection device); and (ii) a vehicle velocity detection device (for example, lidar or a speedometer and compass). Computer hardware performs two dimensional, or three dimensional, vector calculations in order to net out a stationary wind velocity from the measurements made at each vehicle. The computer hardware and software for performing the vector calculations and outputting stationary wind speed may be located in the vehicle or remotely from it (for example, at the headquarters of a weather prediction company).

Technology for calculating stationary wind speed from a moving vehicle

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

Growing community of inventors

Lutz, FL, United States of America

Mauro Marzorati