International Business Machines Corporation

Ermyas Abebe

Dileban Karunamoorthy

Lenin Mehedy

Cristian Vecchiola

Alessio Bonti

Peter Ilfrich

Brendan P Haesler

Mukesh Kumar Mohania

Vinayaka D Pandit

Venkatraman Ramakrishna

Jorge Andres Moros Ortiz

Ziyuan Wang

Hidemasa Muta

Nicholas I Waywood

Hoang Tam Vo

Mahathir Bin Ahmad Almashor

Adam Harley Eugene Eberbach

Praveen Jayachandran

Krishnasuri Narayanam

Angelo De Caro

Andrew Lawrence Frenkiel

Kent C Steer

Dushyant K Behl

Dhinakaran Vinayagamurthy

Adam Eberbach

Kent C B Steer

Adam H E Eberbach

Jan Richter

Jorge A M Ortiz

Anton Beloglazov

Kent Charles Barton Steer

Yining Hu

A system and method for a multi-party computation (MPC) is provided. In implementations, a method includes identifying a blockchain network and a computing device to perform an MPC based on an index; generating an MPC request including a function to be performed by the blockchain network and the computing device, data required for the function, and a verification policy defining a verification protocol to be performed by the blockchain network and the computing device; sending the MPC request to the blockchain network and the computing device; and receiving responses from a representative computing node of the blockchain network and the computing device, wherein each of the responses includes: an output of an MPC protocol performed by the blockchain network and the computing device to jointly compute the function while keeping the inputs private from one another and private from the computing system; and a proof based on the verification policy.

Collaborative computation across blockchain networks

An example operation may include one or more of receiving a request to merge a first blockchain network and a second blockchain network, the request comprising a script that specifies a network structure, synthesizing the script with configuration data of the first and second blockchain networks to generate a plurality of merge operations, and merging the first blockchain network with the second blockchain network based on the plurality of merge operations to create a merged blockchain network, wherein the merging comprises merging chaincodes and channels from the first and second blockchain networks into merged chaincodes and merged channels.

Automated merge of DLT networks

An example operation may include one or more of receiving a request to execute a cross-chain transaction, identifying disparate locations of two or more different blockchains that have stored therein data for the cross-chain transaction, retrieving data from data blocks of the two or more different blockchains, respectively, based on the identified disparate locations, executing the cross-chain transaction which takes the retrieved data from the two or more different blockchains as inputs to generate a cross-chain result, and storing the cross-chain result via a data block of a distributed ledger.

Blockchain implementing cross-chain transactions

A cognitive assisting method, system, and computer program product, includes building a first cognitive profile of a first user by determining content with identifiable attributes that may be incorporated into the cognitive profile and detecting a current activity of the first user and continually finding a match to a second cognitive profile of a second user in a repository of cognitive profiles belonging to others.

System, method and computer program product for a cognitive monitor and assistant

An example operation may include one or more of storing, via a master chain, partition information that links together storage across a plurality of blockchains, receiving a request to execute a blockchain transaction from a client, determining whether the blockchain transaction is associated with data stored on one blockchain or data stored separately on different blockchains based on the partition information stored on the master chain, and, in response to a determination that the blockchain transaction is associated with data stored separately on different blockchains, identifying, via the master chain, a location of each blockchain from among the different blockchains and transmitting the locations to a system configured to perform the blockchain transaction.

A cognitive assisting method, system, and computer program product, includes determining an intent of a first user from an identifiable attribute of content associated with an activity of the first user, building a first cognitive profile of the first user based on the intent of the first user and the identifiable attribute of the content, and detecting a similarity between the intent of the first user in the first cognitive profile and a characteristic of a second cognitive profile of a second user stored in a database including a plurality of cognitive profiles.

A refreshable Braille display device includes a housing having a surface containing a set of tactile markers thereon; a carriage in cooperation with the housing, the carriage having a surface containing a tactile marker thereon and a series of individual refreshable Braille cells positioned above the tactile marker for tactile reading by a user; and a moving mechanism for moving the carriage relative to the housing such that the tactile marker on the surface of the carriage is aligned with one of the tactile markers in the set of tactile markers on the surface of the housing.

Refreshable braille display device

A method for detecting package tampering, comprising performing scanning of a container comprising a packaged item and a plurality of packaging elements surrounding the packaged item, wherein each of the plurality of packaging elements comprises a sensing component comprising a stress sensor, determining a stress on each of the plurality of packaging elements surrounding the packaged item from the scanning, and generating an output indicating the stress on each of the plurality of packaging elements surrounding the packaged item.

Digital fingerprint generation using sensor embedded packaging elements

A hybrid keyboard and associated systems and methods. A disclosed hybrid keyboard includes a set of interactive keys, each having an integrated refreshable braille display, wherein each interactive key includes a momentary switch for detecting a keystroke and includes a actuator system for selectively extending pins through a surface of the interactive key; and a keyboard controller that includes a keystroke input handler for receiving and processing signals associated with detected keystrokes and includes a braille display handler that processes received messages and transmits message signals to selected interactive keys to output braille characters.

Keyboard with integrated refreshable braille display

A method for detecting package tampering comprises performing first scanning of a container comprising a packaged item and a plurality of packaging elements surrounding the packaged item, wherein each of the plurality of packaging elements comprises an identification component, and the first scanning comprises using the identification component of each of the plurality of packaging elements to detect each of the plurality of packaging elements. The method further comprises determining an orientation of each of the plurality of packaging elements in the container from the first scanning, performing second scanning of the container, determining an orientation of each of the plurality of packaging elements in the container from the second scanning, and comparing the orientation of each of the plurality of packaging elements in the container from the first scanning with the orientation of each of the plurality of packaging elements in the container from the second scanning.

System and method for detecting package tampering

Automatically learning and providing software development team structure and methodologies. A software development knowledgebase repository is generated by mining for software processes data over a network of computer systems. A team structure specification and project requirement associated with a target project is received. A software development methodology is selected from the software development knowledgebase repository based on the team structure specification and project requirement associated with a target project, a team members knowledgebase, a teams knowledgebase, and a past projects knowledgebase. A machine learning module automatically learns a software development methodology to select. Based on the software development methodology, a software development environment infrastructure for the target project is built.

Agile team structure and processes recommendation

Contextualized selection of components in one aspect may include generating a developer profile associated with a team member, for example, for all team members designated to work on a computer-implemented development project, and generating a component profile associated with a software component, for example, for all software components identified based on received requirement specification associated with the project. Applicability of a software component to the team members may be computed based on developer profiles and a component profile associated with the software component. Based on the applicability, components are selected and may be downloaded to build a team project component repository.

Contextualized software component selection and repository generation

A computer-implemented method includes detecting a name occurring in a component of a media playing on a first user endpoint device. The component is contained within an electronic signal. An entity in the media that is associated with the name is identified, and stored data that is contextually related to the entity is retrieved. The data is then formatted as supplemental content for display to a user of the first user endpoint device.

Enhancing digital media with supplemental contextually relevant content

Training a machine to learn and to identify time slots to select in a user's electronic calendar, in one aspect, may include receiving an invitee list and meeting meta data associated with a meeting via an electronic calendar application. Candidate timeslots for the meeting may be determined and a database associated with the electronic calendar application analyzed to obtain user factors associated with the candidate timeslots and invitees in the invitee list. Based on the user factors, a predictive model may be generated that is associated with an invitee in the invitee list by a machine learning algorithm. The predictive model may be executed to determine a time slot to select for the invitee.

Machine learning system for intelligently identifying suitable time slots in a user's electronic calendar

Apparatus, method, computer program product, and system described for an autonomous vehicle (a drone) which uses one or more hosts to transport that drone on its journey. Potential hosts along the envisioned journey can be rated as to their suitability. That rating along with an indication of the value of traveling under its own power or remaining stationary for a particular time can be evaluated at any point along the journey to produce an effective route, time, cost, or whatever other factor is desirable. The drone can chose between these states and communicate with potential hosts and even stationary positions or it can remain in the mode it was just in. The drone can switch between one host and another, be charged by a host or at a stationary location, and can evaluate the different modes differently depending on the needs of the user and the drone itself.

Growing community of inventors

Carlton, Australia

Ermyas Abebe