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 ...

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 ...

Victor Eijkhout: I see several problems with the state of parallel programming. For starters, we have too many different programming models, such as threading, message passing, and SIMD or SIMT ...

Data science is hard work, not a magical incantation. Whether an AI model performs as advertised depends on how well it’s been trained, and there’s no “one size fits all” approach for training AI ...

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 ...