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

In order to map the computing architecture and intelligent functions of the human brain on
hardware, we need electronic devices that can emulate biological synapses and even …

The explosion of “big data” applications imposes severe challenges of speed and scalability
on traditional computer systems. As the performance of traditional Von Neumann machines …

How we created neuromorphic engineering | Nature Electronics Skip to main content Thank
you for visiting nature.com. You are using a browser version with limited support for CSS. To …

Neuromorphic computing takes inspiration from the brain to create energy-efficient hardware
for information processing, capable of highly sophisticated tasks. Systems built with standard …

Neurobiological processing systems are remarkable computational devices. They use slow,
stochastic, and inhomogeneous computing elements and yet they outperform today's most …

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

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

Explains current co-design and co-optimization methodologies for building hardware neural
networks and algorithms for machine learning applications This book focuses on how to …

Computation in its many forms is the engine that fuels our modern civilization. Modern
computation—based on the von Neumann architecture—has allowed, until now, the …