International Business Machines Corporation

Disha Shrivastava

Vinayaka D Pandit

Sreyash Kenkre

Parag Jain

Anirban Laha

Harish Guruprasad Ramaswamy

Santosh R K Penubothula

Vijay Ekambaram

Pranay Kumar Lohia

Priyanka Agrawal

Anush Sankaran

Methods, systems and computer program products for automatic extraction and testing of constraints are provided herein. A computer-implemented method includes obtaining a first set of documents describing constraints and a second set of documents describing properties of entities, building a first dictionary of entity types and a second dictionary of relations among the entity types, extracting constraint triples representing the set of constraints from the first set of documents, and extracting fact triples from the second set of documents utilizing the first dictionary and the second dictionary. The method also includes receiving a query to evaluate whether at least one of the set of constraints is satisfied, determining whether the at least one constraint is satisfied by evaluating a constraint satisfaction formula utilizing the constraint triples and the fact triples, and providing a response to the query that indicates whether the at least one constraint is satisfied.

Automated constraint extraction and testing

Methods, systems, and computer program products related to a cognitive assistant for co-generating creative content are provided herein. A computer-implemented method includes obtaining semantic-level inputs from at least one user, wherein the semantic-level inputs pertain to multiple aspects of a desired content narrative; generating textual content based at least in part on the semantic-level inputs, wherein said generating the textual content comprises applying one or more deep learning algorithms to the semantic-level inputs; generating image content based at least in part on the generated textual content; creating the desired content narrative by integrating (i) the generated textual content and (ii) the generated image content; and outputting the desired content narrative to the at least one user.

Cognitive assistant for co-generating creative content

Aspects of the present disclosure relate to techniques for presenting content on a plurality of devices. The techniques including determining a first configuration for displaying first content on a plurality of devices, where the first configuration is based on a collective viewing size, an aspect ratio, a resolution shift, an internal border area, and a tactile quality gradient. The techniques including displaying, on a first device of the plurality of devices, a first device identifier, an orientation indicator, and an adjacent device identifier.

Displaying dynamic content on multiple devices

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Bengaluru, India

Disha Shrivastava