… the published works in neuromorphic computing and hardware implementations of neural
networks and to discuss open issues for the future of neuromorphic computing. The remainder …

… Neuromorphic computing takes inspiration … neuromorphic computing. We review striking
results that leverage physics to enhance the computing capabilities of artificial neural networks, …

… To that effect, researchers have designed neuromorphic … While most large-scale neuromorphic
systems have been … that neuromorphic computing based on spiking neural networks (…

… computing, DL accelerators, and spiking neural networks. 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 neural networks and quantum computing have been developing
very quickly in the past few years with more and more researchers entering the fields. The …

… neuromorphic computing substrate and use it for emulating several types of neural networks…
been explicitly designed as a universal neural network emulator, are its inherent parallelism …

… This is identical to common practice in neural networks, except that we have factored the
synaptic weight into cij and sij, such that we can focus our learning efforts on the former for …

… neuromorphic computing systems. We first review recent advances in the application of NVM
devices to three computing paradigms: spiking neural networks (… neuromorphic computing …

… The capabilities of the technology combine with scalable architectures to allow neuromorphic
capabilities to extend to support scales of neural network incorporating many millions of …