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 ...

AWS recently announced a distributed map for Step Functions, a solution for large-scale parallel data processing. Optimized for S3, the new feature of the AWS orchestration service targets ...

The American Journal of Psychology, Vol. 105, No. 2, Views and Varieties of Automaticity (Summer, 1992), pp. 239-269 (31 pages) We consider how a particular set of information processing principles, ...

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 ...

In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. The ...

The next generation of broadcasting editing system will use cloud computing. The editing system will be located in the cloud, and it will be easily accessed via a network from various locations. It ...

About 20 years ago engineers around the world began demonstrating what is still the greatest computer innovation of my lifetime, parallel processing. (For more on the concept, visit this course at the ...

This is a preview. Log in through your library . Abstract Connectionist models of reading, in particular Seidenberg and McClelland's (1989) parallel distributed processing model of word recognition, ...

The findings, reported August 18 in the journal Cell, suggest that auditory and speech processing occur in parallel, contradicting a long-held theory that the brain processed acoustic information ...