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 ...
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 ...
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 ...
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