After years in academia spent developing a very theoretical but powerful algorithm to tackle the analysis of enormous scientific datasets, he was looking for a place where he could match theory with ...

The beauty of creating a time scale from scratch, Gramling said, is that scientists can take everything they have learned about timekeeping on Earth and apply it to a new system on the moon.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...