On-chip valleytronic circuit processes light-based data streams at room temperature, paving the way for faster, ...
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 ...
Most computers and algorithms — including, at this point, many artificial intelligence (AI) applications — run on general-purpose circuits called central processing units or CPUs. Though, when some ...
Why traditional electrical switching architectures are struggling to keep pace with AI workloads. How optical circuit switching reduces latency, power consumption, and network complexity. Why ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results