… Neuromorphiccomputing takes inspiration … neuromorphiccomputing. We review striking results that leverage physics to enhance the computing capabilities of artificial neuralnetworks, …
… To that effect, researchers have designed neuromorphic … While most large-scale neuromorphic systems have been … that neuromorphiccomputing based on spiking neuralnetworks (…
… computing, DL accelerators, and spiking neuralnetworks. Central themes are the reliance on non‐von‐Neumann computing … example‐based reservoir computing is briefly discussed. At …
… neuromorphic research processor designed to support a broad range of spiking neural networks … -of-the-art contemporary computing architectures. This survey reviews results that are …
… In conclusion, both deep neuralnetworks and quantum computing have been developing very quickly in the past few years with more and more researchers entering the fields. The …
… neuromorphiccomputing substrate and use it for emulating several types of neuralnetworks… been explicitly designed as a universal neuralnetwork emulator, are its inherent parallelism …
… This is identical to common practice in neuralnetworks, except that we have factored the synaptic weight into cij and sij, such that we can focus our learning efforts on the former for …
… neuromorphiccomputing systems. We first review recent advances in the application of NVM devices to three computing paradigms: spiking neuralnetworks (… neuromorphiccomputing …
S Furber - Journal of neural engineering, 2016 - iopscience.iop.org
… The capabilities of the technology combine with scalable architectures to allow neuromorphic capabilities to extend to support scales of neuralnetwork incorporating many millions of …