6th August 2014
Analytics Engines announced today the release of a new product which can accelerate the calculation of Jensen Shannon Divergence (JSD) calculations by over 25x. JSD is an important algorithm in contextual / semantic search and genomics applications, used to determine the similarity between two records. These records can be documents, code sequences, or many other data structures.
The product release is supported by a new case study, which shows how integration of the Analytics Engines JSD Accelerator provided an overall improvement of 5X in performance for Belfast bases Sophia. Conal Loughrey, VP Engineering at Sophia said, “With the addition of Analytics Engines acceleration products we were able to improve the responsiveness of our technology over five fold, which benefited our business and our customers.”