International Business Machines Corporation

Abhishek Kumar

Clifford A Pickover

Maja Vukovic

Ashish Kundu

Komminist S Weldemariam

Kush Raj Varshney

Aleksandra Mojsilovic

Amit Dhurandhar

Ioana Monica Baldini Soares

Kien T Pham

A network is crawled using a trained learning model to identify a set of secondary-source documents related to an event. A hub page from the set of secondary-source documents is identified that includes a link predicted to link to a new relevant secondary-source document. The new document is added to the set of secondary-source documents. Information is extracted from the set of secondary-source documents. Feedback is received indicative of a relevancy level for the extracted information as applied to the event. Each document is classified into one or more categories related to the event, based on the extracted information and the received feedback information. A learning model is trained based on the received feedback.

Humanitarian crisis analysis using secondary information gathered by a focused web crawler

A secure chain of data blocks is maintained at a given computing node, wherein the given computing node is part of a set of computing nodes in a distributed network of computing nodes, and wherein each of the set of computing nodes maintains the secure chain of data blocks. The secure chain of data blocks maintained at each computing node comprises one or more data blocks that respectively represent one or more transactions associated with an unmanned aerial vehicle (UAV). At least one data block is added to the secure chain of data blocks maintained at the given computing node in response to determining that transaction data associated with the at least one data block is valid.

Unmanned aerial vehicle data management

Growing community of inventors

Elmsford, NY, United States of America

Abhishek Kumar