New research finds that magnetic wires, spaced a certain way, can lead to a 20-30x reduction in the amount of energy needed to run neural network training algorithms. The rapid progression of ...

The rapid progression of technology has led to a huge increase in energy usage to process the massive troves of data generated by devices. But researchers in the Cockrell School of Engineering at The ...

The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

Nvidia Corp.’s recurring GPU Technology Conference tends to focus on its hallmark graphics processing units, but during the latest installment of the event that the company held today, GPUs weren’t ...

DataPelago Inc. today unveiled what it calls a “universal data processing engine” that powers high-speed computing at massive scale by making better use of an organization’s underlying infrastructure.