International Business Machines Corporation

Kyndryl, Inc.

Christopher L Molloy

Gordan G Greenlee

Bret W Lehman

Steven A Waite

Robert S Milligan

Bernadette Ann Pierson

John Michael Ganci, Jr

Craig M Trim

Christopher J Dawson

Gregory J Boss

Hendrik F Hamann

Jonathan Lenchner

Charles Evan Beller

Murthy V Devarakonda

Edgar Adolfo Zamora Duran

Jeffrey Owen Kephart

Rajarshi Das

Wally Karrat

Jayashree Vaidyanathan

Brian A Canney

Tony A Bentivegna

Michael C Davis

Rhonda L Childress

David B Kumhyr

Brad L Brech

Kenneth T Gambon

Gary M Quesenberry

Jason LaScola

Bradley L Brech

Tenley D Jackson

Robert Robinson

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

Approaches presented herein enable customization of content being consumed at a location. More specifically, a plurality of participants is identified as being located within an area. A data source corresponding to each of at least two participants is analyzed for preferences of the participants. Based on this analysis, a set of preferences for the participants is mapped, and this mapping includes linking related preferences of different participants. A sentiment of the plurality of participants is identified based on a real-time data feed that captures actions of the plurality of participants located within the area. A scored set of content is selected based on the mapped set of preferences and the identified sentiment of the plurality of participants.

Customizing content delivery through cognitive analysis

A method and system for improving a machine learning multimedia conversion process is provided. The method includes automatically connecting hardware devices to a server hardware device. Audio and/or video data from a meeting between individuals is recorded form a location and each individual is identified via sensor data. Attributes for each user are identified and the audio and/or video data is converted to text data. Portions of the text data are analyzed and associated with each individual. Action items in the text data are identified and assigned to the individuals based on the attributes. Self-learning software code for executing future multimedia conversion processes is generated based on the assigning and the self-learning software code is modified based on results of executing the future multimedia conversion processes.

Machine learning multimedia conversion assignment

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

Systems and methods for source verification are disclosed. A method includes: receiving, by a computing device, a report from a first source; determining, by the computing device, the first source is listed in a source repository based on receiving the report; selecting, by the computing device, a second source at a location remote from the first source based on the source being listed in the source repository; confirming, by the computing device, the report from the first source based on information received from the second source; repeating, by the computing device, the selecting and the confirming until a value of information in the report from the second source exceeds an information trust level value for the report.

Source verification device

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

A computer-implemented method includes: determining, by a computing device, a location of an individual in a building relative to the location of an exit of the building; determining, by the computing device, the location of obstacles or hazards within the building; determining, by the computing device, a path from the individual to the exit based on determining the location of the individual relative to the exit and the location of the obstacles or hazards; generating, by the computing device, signaling instructions based on the path; and outputting, by the computing device, the signaling instructions to one or more signaling devices, wherein the outputting the signaling instructions control operations of the one or more signaling devices to guide the individual to the exit based on the path.

Facilitating a search of individuals in a building during an emergency event

Systems, methods, and computer program products are presented. The system, for instance, includes a mobile device having a hologram emitter, an imager, memory, at least one processor in communication with memory, and program instructions executable by one or more processor via the memory to perform a method including projecting, from the hologram emitter of the mobile device, a holographic image having a mirror-like reflective surface at a position and an orientation from the mobile device, and obtaining, from the imager of the mobile device, image data and/or video data of a reflection of an object reflected off the projected holographic mirror-like reflective surface.

Image and/or video capture from different viewing angles of projected mirror like reflective holographic image surface

An approach to managing power distribution to computing devices, the approach involving monitoring power consumption of a plurality of computing devices and power draw on a plurality of power distribution units, wherein the plurality of power distribution units distribute power to the plurality of computing devices, determining that any of the plurality of power distribution units are approaching respective power thresholds and responsive to determining that any of the plurality of power distribution units are approaching the respective power thresholds, taking one or more actions to manage power distribution to the plurality of computing devices, wherein the one or more actions are based on a set of rules and the one or more actions comprise configuring a drawing of unequal amounts of power.

Rack resource utilization

Techniques are described for controlling the climate in a data center. Using the input of an administrator, multiple desired attributes of a data center (e.g., temperature, energy consumption, costs, or system performance) may be balanced using a utility function that maximizes the utility of the computing systems in the data center according to the administrator's preferences. Additionally, a cooling model is generated that represents the affect of a control parameter (e.g., the fan speed of a CRAC) on the desire attributes of the data center. The cooling model may then be substituted into the utility function to replace the desired attributes. Using this new utility function, the control parameters may be varied such that the maximum utility is achieved.

Unified and flexible control of multiple data center cooling mechanisms

Growing community of inventors

Raleigh, NC, United States of America

Christopher L Molloy