International Business Machines Corporation

Geeth Ranmal De Mel

Clifford A Pickover

James R Kozloski

Su Liu

Shikhar Kwatra

Fan Yang

Douglas Morgan Freimuth

Sushain Pandit

Seraphin Bernard Calo

Mathias B Steiner

Bruce Gordon Elmegreen

Stacey M Gifford

Smitkumar Narotambhai Marvaniya

Shantanu Ravindra Godbole

Xiping Wang

Boyi Tzen

Keith William Grueneberg

Ronaldo Giro

Dmitry Zubarev

Kristin Schmidt

David Alvra Wood, Iii

Jorge J Ortiz

David Boaz

Ranjini Bangalore Guruprasad

Kedar Kulkarni

Jitendra Singh

Komminist Weldemariam

Christopher R Gibson

Lan Ngoc Hoang

David S Braines

Richard J Tomsett

Mohab Elkaref

Flaviu Cipcigan

Dean Clarke

Lori French

Maira G De Bayser

A computer implemented method for generating query results includes generating by a computer processor, a training model through artificial intelligence. The training model is based on annotated data. A knowledge base for a subject matter is generated based on the training model. The knowledge base is based on content from document sources related to the subject matter. A natural language query input is received. An intent and requirements for satisfying the intent is inferred by the computer processor. The knowledge base is referenced to extract information related to the intent and requirements, from documents in the knowledge base. Relationships between the extracted information and the requirements are correlated from the documents in the knowledge base. Query results are displayed to the user. The query results are based on the correlated relationships.

Artificial intelligence based materials discovery building from documents and recommendations

In an approach to improve manual and autonomous operations of a vehicle embodiments predict a moving intention of a first vehicle. Based on the predicted moving intention embodiments broadcast and share the predicted vehicle moving intention of the first with a set of key vector data through a predefined network to a second vehicle. Further, embodiments receive the broadcasting signal embedded with the set of key vector data related to vehicle moving intention nearby and map the received vehicle moving intentions to two-dimensional (2d) or three-dimensional (3D) spatial map. Additionally, embodiments render the 2D or 3D spatial map with the mapped vehicle moving intentions in a virtual display.

Computer-based vehicle control and predicted vehicle operation

Methods, systems, and computer program products for auto-discovery of reasoning knowledge graphs in supply chains are provided herein. A computer-implemented method includes obtaining a spatiotemporal query related to a demand of at least one product in a supply chain; analyzing the spatiotemporal query to identify one or more parameters affecting the demand of the at least one product, wherein the one or more parameters comprise at least one of one or more climate parameters and one or more disruptive event parameters; generating a knowledge graph comprising information indicating an impact on the demand of the at least one product for at least a portion of the one or more parameters; and outputting, to a user interface, an explanation of a predicted demand forecast for the at least one product based at least in part on the knowledge graph.

Auto-discovery of reasoning knowledge graphs in supply chains

A method, system, and computer program product for generating context-based tailored emoticons within a communication scenario are provided. The method receives detects an emotion of a user within a communication stream. A set of candidate emojis are generated. A set of emoticons are generated from the set of candidate emojis and a representation of the user. The set of emoticons are presented to the user in a user interface on a computing device associated with the user. The method incorporates a selected emoticon of the set of emoticons into the communication stream with the selected emoticon being selected by the user from the user interface.

Context-based personalized communication presentation

According to one embodiment, a method, computer system, and computer program product for ancillary speech generation is provided. The present invention may include receiving a query from a querent; interpreting the terms of the query using schema information; rewriting the initial query into a set of related queries; pruning related queries that are irrelevant based on contemporary circumstances; retrieving preferences associated with the querent, where each of the preferences is assigned a weight representing the importance of that preference to the querent; filtering out the pruned related queries that do not comport with the querent's preferences; sort the filtered related queries according to the weight of the preferences served by each query; answering the filtered related queries with a knowledge graph; returning answers to the querent; and updating the preferences based on the answers.

Ancillary speech generation via query answering in knowledge graphs

Techniques for adaptive query targeting in a dynamic distributed computing environment are provided. In one aspect, a method for adaptive query targeting in a distributed computing system having two or more cooperating nodes is provided. The method includes the steps of: using a peer selection criteria to select one or more of the nodes as target peers for a query from a querying node; leasing the query to the target peers for a given length of time via a lease having a given lifetime; periodically refreshing the query during the lifetime of the lease by re-evaluating the peer selection criteria such that the query persists on one or more of the target peers for the lifetime of the lease; and having the query removed from the target peers when the lease expires.

Adaptive query targeting in a dynamic distributed environment

A doorbell control method, system, and non-transitory computer readable medium for a doorbell, include causing a doorbell to perform a differentiated action based on doorbell data and calendar data of an electronic calendar, and annotating the calendar with information based on an activation of the doorbell.

System, method and recording medium for doorbell control based on doorbell data and calendar data

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WARRINGTON, United Kingdom

Geeth Ranmal De Mel