International Business Machines Corporation

Kyndryl, Inc.

Steven A Waite

Gordan G Greenlee

Christopher L Molloy

Robert S Milligan

Michael C Davis

Dinesh C Verma

Douglas Morgan Freimuth

Seraphin Bernard Calo

Nirmit V Desai

Tova Roth

Jae-Wook Ahn

Jason LaScola

Roger Hollander

Anshu Kak

Methods and systems for emulating an application include generating a log template to match one or more patterns in a set of application logs collected from an original application. Semantic state representations are learned for the original application from the log template. A classifier is trained to predict a next action template based on a sequence of prior action templates. A regressor is trained to generate a parameter value for a template based on a sequence of prior action templates and a particular semantic state of the original application.

Machine learning to emulate software applications

Disclosed is a method and apparatus for transporting and dispensing medications for a patient according to a medication schedule for the patient. A smart container from a pharmacy is received at the patient's site and the container is checked to make sure that the container was delivered to the correct patient site. The smart container contains a memory device that contains identification information of the patient, dosage and treatment instructions for the patient. This information and the medication were checked for compatibility before the smart container was delivered. The identity of the patient at the patient's site is then checked and the patient performs on or more biometric tests before the medication is dispensed by the smart container. Upon taking the medication and providing video proof thereof, the smart container is returned to the pharmacy.

Personal prescription dispenser

An approach is provided for deterring a tampering of content. Content is signed by using an asymmetric key cryptography. The signed content is stored in a distributed ledger which is accessible to a plurality of subscribers of the distributed ledger. The signing of the content using the asymmetric key cryptography together with the storing of the signed content in the distributed ledger provide a non-repudiable identification of an owner of the content and a non-repudiable proof of an ownership of the content.

Decentralized repository using encryption for non-repudiable activity and ownership

A computer-implemented method, system and computer program product for improving query searches. After receiving a query from a user to conduct a content search, the query is analyzed for its semantic meaning and a categorized group of query tags and content tags in the central repository that is most semantically similar in meaning to the meaning of the query is identified. Furthermore, the content tags and query tags in the user's repository are analyzed to determine the interests of the user. The query may then be augmented to include one or more other terms of interest from the identified categorized group of query tags and content tags in the central repository that match the determined interests of the user within a threshold degree of relatedness, where these other terms of interest correspond to the content tags and query tags of the identified categorized group based on their assigned weight.

Dynamically augmenting query to search for content not previously known to the user

Approaches presented herein enable optimization of a plurality of resources connected within an Internet of Things (IoT) network. More specifically, usage of a first and a second resource of the plurality of resources connected within the IoT network is tracked. This usage comprises a task and a time at which the task is performed for each of the two resources. An anticipated task at an anticipated time based on the tracked usage of the first resource is identified. An anticipated capacity at substantially the same anticipated time is also identified on the second resource based on the tracked usage of the second resource. Excess capacity is generated on the first resource by transferring the anticipated first task to the second resource for the anticipated time. The excess capacity is designated for use by an arm's-length party. A load from the arm's-length party is then assigned to the excess capacity.

Internet of things resource optimization

Growing community of inventors

Racine, WI, United States of America

Steven A Waite