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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 ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the ...
Neuromorphic computing replaces the binary, transistor-based ON/OFF logic gates and separate logic and memory functionalities employed in digital computing, with a new paradigm inspired by animal ...
Abstract: The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards ...
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 ...
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