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 …

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 …

Though neuromorphic computers have typically targeted applications in machine learning
and neuroscience ('cognitive'applications), they have many computational characteristics …

No one would accuse neuromorphic computing of lacking ambition. With a mission to
decipher the multitude of secrets nature deploys to achieve unrivalled efficiency and …

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

Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

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 …

Spiking, neuromorphic computing systems are in a period of active exploration by the
computing community. While they feature computational expressiveness beyond both von …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Technology advances in the last a few decades have resulted in profound changes in our
society, from workplaces to living rooms to how we socialize with each other. These changes …