March 16, 2017
Amin Karbasi (Yale University) and Amit Surana (United Technologies Research Center) have received a Grainger Grant to “develop a unified approach for saliency detection in heterogeneous temporal data.” The grant will support the team’s interdisciplinary research to develop algorithms for compressing massive amounts of time—varying data into small salient or informative datasets to allow faster decision making.
Read full article here.