Semantic cognition encompasses human performance based on knowledge about the properties of objects, relations among objects and word meanings. One approach to semantic cognition has arisen within the ...
Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...
Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day on ...