Abstract: This article proposes an enhanced equivalent dipole model, integrating convolutional neural networks and fully connected networks, to predict near-field magnetic fields in neuromorphic chips ...
Building on our legacy in high-performance computing and distributed systems, we bring together world-class teams in ...
US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...
When it comes to developing faster and smaller chips to power next-generation electronic devices, Silicon is seen as the leading option. This abundant, cheap semiconductor provides acceptable carrier ...
Modern computers struggle to match the efficiency of the human brain. Even recognizing handwritten digits can consume significant energy, largely ...
Researchers from the Institute of Science Tokyo and Canon ANELVA Corporation built an ultrathin ferroelectric memory ...
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