Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

Neuromorphic computing technologies will be important for the future of computing, but
much of the work in neuromorphic computing has focused on hardware development. Here …

The human brain is a sophisticated, high‐performance biocomputer that processes multiple
complex tasks in parallel with high efficiency and remarkably low power consumption …

Dmitri Strukov (an electrical engineer, University of California at Santa Barbara), Giacomo
Indiveri (an electrical engineer, University of Zurich), Julie Grollier (a material physicist, Unite …

Neuromorphic hardware enables fast and power-efficient neural network–based artificial
intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be …

In this paper, we review some of the novel emerging memory technologies and how they
can enable energy-efficient implementation of large neuromorphic computing systems. We …

Recently, both industry and academia have proposed several different neuromorphic
systems to execute machine learning applications that are designed using Spiking Neural …

Neuromorphic computing covers a diverse range of approaches to information processing
all of which demonstrate some degree of neurobiological inspiration that differentiates them …

As the research on artificial intelligence booms, there is broad interest in brain‐inspired
computing using novel neuromorphic devices. The potential of various emerging materials …

Neuromorphic systems are gaining increasing importance in an era where CMOS digital
computing techniques are reaching physical limits. These silicon systems mimic extremely …