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Artificial brains could point the way to ultra-efficient supercomputers
Sandia National Labs cajole Intel's neurochips into solving partial differential equations New research from Sandia National ...
A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic ...
US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...
USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...
Abstract: Brain-inspired spintronic artificial neural networks (ANNs) have emerged as promising candidates for next-generation computing systems, yet conventional spin-orbit torque (SOT) devices face ...
Researchers say they have created the world's first scalable atomic quantum processor that achieves record-breaking 99.99% fidelity. When you purchase through links on our site, we may earn an ...
Abstract: We propose an indium gallium zinc oxide (IGZO) nanofiber based photoelectric synapse. Long-term potentiation and depression emulations are realized by exploiting optical and electrical ...
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